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Data Analytics

Goto Diploma In Full Stack Development Course



Data Analytics

Best Data Analytics Training Institute in Kolkata

Get started in the in-demand field of Data Analytics with a Professional Certificate from NICS COMPUTER. Learn how to process and analyze data, use key analysis tools, apply Python programming, and create visualizations that can inform key business decisions.

data analytics Common job titles: Junior Data Analyst, Associate Data Analyst, Junior Data Scientist, Finance Analyst, Operations Analyst, Data Technician, Business Performance Analyst, Marketing Analyst, Healthcare Analyst.

Why NICS COMPUTER?

NICS COMPUTER is a Top Ranked Analytics schools in the Kolkata consistently since the last 24 years.


****100% Job Assistance.****

Online Tution Available

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Minaz Mondal
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Shalini Saha Mandal
17 / 17
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Rajarshi Mukhopadhyay


About this Professional Certificate


Get professional training designed by NICS COMPUTER and have the opportunity to connect with top many companies. There are 380,000 U.S. job openings in data analytics with a $74,000 median entry-level salary. Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making.

Over this course, gain in-demand skills that prepare you for an entry-level job. You’ll learn foundations in data analytics served as launchpads for your own career. At under 4 hours per week, you can complete the certificate in 6 months. You’ll prepare yourself for jobs that include junior or associate data analyst, database administrator, and more. Upon completion of the certificate, you can directly apply for jobs with 150 U.S. & 50 India employers, including Walmart, Best Buy, Astreya,Reliance,Tata,Hdfc,PWC,Honeywell, Cap Gemini, Genpact, HSBC, Cognizant, eBay,Paypal,Amazon,Flipkart etc .

best Data Analytics training in kolkata

What you will learn:

  • Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job
  • Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets,PowerBI, SQL, Python programming, Tableau,MongoDB)
  • Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and Python programming.
  • Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms.
  • Course Outline of Data Analytics Certification Course:-

    	*****  ADVANCED EXCEL COURSE *****
    
    ***** Basic to Advanced + MIS + Automation + ChatGPT Integration *****
    ------------------------------------------------------------------------------------------------
    **Course Level:** Beginner to Advanced**
    **Target Audience:** Students, Accountants, MIS Executives, Data Analysts, Office Professionals
    ------------------------------------------------------------------------------------------------
    **Objective:**
    To make learners **Excel experts** capable of handling **MIS reports, automation, data analysis, 
    dashboards, and real-world business projects** using **Advanced Excel & ChatGPT**.
    =====================================================
    
    ***  MODULE 1: Excel Basics & Workbook Management ***
    
    * Introduction to Microsoft Excel
    * Excel Interface & Ribbon
    * Working with Excel Files
    * Creating, Opening, Saving & Managing Workbooks
    * Worksheets: Insert, Rename, Delete, Move, Copy
    * Shortcut Keys & Excel References
    * Freeze Panes
    * Printing Excel Files (Page Setup, Print Area)
    ---------------------------------------------------------------------------------
    
    ***  MODULE 2: Data Entry & Formatting ***
    
    * Entering Data (Text, Numbers, Dates)
    * Working with Numbers
    * Formatting Data (Number, Currency, Date, Custom)
    * Cell Styles & Formatting
    * Conditional Formatting (Rules, Icon Sets, Data Bars)
    * Remove Duplicates
    * Text to Columns
    * Find & Replace
    
    -----------------------------------------------------------------------------------
    
    ****  MODULE 3: Managing & Manipulating Data ****
    
    * Sorting (Single & Multiple Levels)
    * Filter & Advanced Filter
    * Data Validation (Dropdown, Rules, Error Alerts)
    * Consolidate Data
    * Grouping & Outlining Data
    * Subtotal
    * Managing Large Data Sets
    
    -------------------------------------------------------------------------------------
    
    ****  MODULE 4: Excel Formulas & Cell References ****
    
    * Formula Basics
    * Absolute, Relative & Mixed Cell References
    * Formula Auditing
    * Error Handling & N Formula
    
    ---------------------------------------------------------------------------------
    
    ****  MODULE 5: Logical & Conditional Functions ****
    
    * IF Function
    * Multiple IF Function
    * AND, OR Functions
    * IF with AND / OR
    * What-If Analysis
    
      * Goal Seek
      * Scenario Manager
    
    --------------------------------------------------------------------------------
    
    ****  MODULE 6: Lookup & Reference Functions (IN-DEPTH) ****
    
    * VLOOKUP
     * VLOOKUP in Same Sheet
     * VLOOKUP in Different Sheet
    * HLOOKUP
    * XLOOKUP
    * MATCH Function
    * INDEX Formula
    * INDEX + MATCH
    * HLOOKUP with MATCH
    * VLOOKUP with MATCH
    * ISTEXT with VLOOKUP
    * ISNUMBER with VLOOKUP
    ------------------------------------------------------------------------------
    ****  MODULE 7: Database Functions ****
    
    * DSUM Function
    * DAVERAGE Function
    * DMIN & DMAX Functions
    
    -----------------------------------------------------------------------------
    
    **** MODULE 8: Mathematical & Statistical Functions ****
    
    * PMT, IPMT, PPMT
    * ABS, EXP, FACT
    * GCD, LCM
    * INT, MOD
    * POWER, SQRT
    * CEILING
    * CORREL
    * FREQUENCY
    * MAX, MIN
    * ROUND, ROUNDUP, ROUNDDOWN
    -------------------------------------------------------------------------------
    
    **** MODULE 9: Text & Date Functions  ****
    
    * LEFT, RIGHT, MID
    * LEN
    * LOWER, UPPER, PROPER
    * CONCATENATE
    * REPLACE
    * REPT
    * SEARCH
    * TRIM
    * EXACT
    * TODAY, NOW
    ----------------------------------------------------------------------------
    
    **** MODULE 10: Counting & Conditional Summing ****
    
    * COUNT, COUNTA
    * COUNTBLANK
    * COUNTIF
    * SUMIF
    * SUMIFS
    * CHOOSE
    ----------------------------------------------------------------------------
    
    ****  MODULE 11: Charts, Sparklines & Visualization ****
    
    * Working with Charts
    * Chart Types & Customization
    * Dynamic Charts
    * Sparklines
    
      * Line
      * Column
      * Win/Loss
    * Dynamic MAP Chart in Excel
    --------------------------------------------------------------------------
    
    **** MODULE 12: Pivot Table & Advanced Analytics ****
    
    * Working with Pivot Table
    * Pivot Table Calculations
    * Pivot Chart
    * Slicer
    * Timeline
    * Power View
    * Power Pivot
    * Solver
    ---------------------------------------------------------------------------
    
    ****  MODULE 13: MIS Reporting (CRITICAL MODULE) ****
    
    * What is MIS Report
    * Types of MIS Reports
    * MIS Report Examples
    * How to Effectively Prepare MIS Reports
    * Dashboard-Style MIS Reporting
    * Working with Salary Sheet
    * Performance & Financial MIS
    -------------------------------------------------------------------------
    
    ****  MODULE 14: Master Sheet & Automation ****
    
    * How to Make a Master Sheet
    * Designing Structured Data
    * Splitting Data from Master Sheet into Multiple Worksheets
    * Dynamic Data Handling
    -------------------------------------------------------------------------
    
    ****  MODULE 15: Forms, Macros & Automation ****
    
    * Data Entry Form in Excel (Without VBA)
    * Excel Forms Like Software
    * Introduction to MACROS
    * Recording & Running Macros
    * Using Macros for Automation
    
    -----------------------------------------------------------------------------
    
    ****  MODULE 16: ChatGPT with Excel (ADVANCED LEVEL) ****
    
    * Introduction to ChatGPT for Excel
    * Using ChatGPT Add-ins for Excel
    * Formula Generation using ChatGPT
    * Data Cleaning with ChatGPT
    * MIS Report Automation using ChatGPT
    * Advanced Use Cases of ChatGPT with Excel
    
    **Practical:**
    Excel automation using ChatGPT prompts
    -----------------------------------------------------------------------------
    
    ****  MODULE 17: Live Project (REAL-WORLD) ****
    
    **** Live Projects:
    
    * Salary Management System
    * Sales & MIS Dashboard
    * Financial Analysis Report
    * Automated Excel System using ChatGPT
    --------------------------------------------------------------------------------
    
    ****  COURSE OUTCOMES ****
    
    After completing this course, students will:
    ✔ Become Advanced Excel Professionals
    ✔ Create MIS & Management Reports
    ✔ Automate Excel Workflows
    ✔ Master Lookup & Pivot Techniques
    ✔ Use ChatGPT for Excel Productivity
    ✔ Be Job-Ready for MIS / Data / Accounts Roles
    ---------------------------------------------------------------------------------
    
    **** COURSE HIGHLIGHTS
    
    ✔ Basic to Advanced Excel
    ✔ 100% Practical Training
    ✔ Live Projects
    ✔ Automation & ChatGPT Integration
    ✔ Certificate After Completion
    ✔ Job & Interview Support
    _______________________________________
    ***  LEARNING OUTCOMES ***
    >> By the end of this masterclass, you will be able to: << 
    >>  Build interactive dashboards & reports
    >>  Automate repetitive tasks with Macros
    >>  Handle large datasets efficiently
    >>  Perform advanced analysis for sales, finance, HR & MIS
    >>  Prepare a portfolio for interviews & career growth
    ________________________________________
    ***  WHY JOIN THIS COURSE? ***
    >> Beginner-friendly → Advanced → Professional track
    >> 100% hands-on practice
    >> Live projects & assignments
    >> Industry-ready skills for office & data analytics
    >> Certificate & Job Assistance
    		

    ***  MASTER POWER BI - FROM BEGINNER TO JOB-READY PROFESSIONAL ***
    >>  Industry-Oriented Power BI Certification Course
    >>  Designed for Students | Working Professionals | Job Seekers
    ________________________________________
    ###  WHY LEARN POWER BI?
    Power BI is one of the most in-demand business intelligence tools used by top companies to analyze data and make smart decisions.
    This course will help you transform raw data into powerful dashboards, even if you are from a non-technical background.
    ________________________________________
    ***  LEVEL 1: POWER BI BEGINNER (FOUNDATION LEVEL) ***
    ##  Build Strong Basics with Confidence
    ## What You Will Learn
    >> Introduction to Data Analytics & Business Intelligence
    >> Understanding Power BI ecosystem
    >> Installing & exploring Power BI Desktop
    >> Importing data from Excel, CSV & text files
    >> Basic data cleaning & preparation
    >> Creating beautiful charts & reports
    >> Filters, slicers & simple interactions
    >> Hands-On Practice
    >> Create your first interactive Sales Dashboard
    >> Outcome
    >> Understand Power BI fundamentals
    >> Create clean & simple reports
    >> Perfect for beginners & freshers
    ________________________________________
    ***  LEVEL 2: POWER BI INTERMEDIATE (PRACTICAL LEVEL) ***
    >>  Work with Real-World Business Data
    >> What You Will Learn
    >> Advanced Power Query (data transformation)
    >> Merge & append multiple datasets
    >> Data modeling & relationships
    >> Star schema concept
    >> Introduction to DAX formulas
    >> Business calculations (Sales, Profit, Growth %)
    >> Drill-down, drill-through & KPI visuals
    >> Professional dashboard formatting
    >> Hands-On Practice
    >> Sales & Profit Performance Dashboard
    >> Monthly MIS Report
    *** Outcome ***
    >> Build interactive & professional dashboards
    >> Analyze business performance effectively
    ________________________________________
    ***  LEVEL 3: POWER BI PROFESSIONAL (ADVANCED LEVEL) ***
    >> Think Like a Data Analyst
    >> What You Will Learn
    >> Advanced DAX (CALCULATE, FILTER, ALL)
    >> Time intelligence (YTD, MTD, YoY analysis)
    >> Advanced data modeling techniques
    >> Date table creation
    >> Power BI Service & cloud publishing
    >> Row-Level Security (RLS)
    >> Database connectivity (SQL Server / MySQL)
    >> Performance optimization
    >> Hands-On Practice
    >> Finance & Budget Dashboard
    >> Management-Level MIS Dashboard
    ***  Outcome ***
    >> Handle large & complex datasets
    >> Build enterprise-level dashboards
    ________________________________________
    ***  LEVEL 4: JOB SEEKER / CAREER TRACK ***
    >> Become 100% Industry-Ready
    >> What You Will Learn
    >> End-to-end real-time projects
    >> HR Analytics (Attrition, Hiring, Salary)
    >> Customer Analytics (Behavior & Retention)
    >> Power BI + Advanced Excel integration
    >> Basic SQL for Data Analysts
    >> Dashboard storytelling techniques
    >> Resume & LinkedIn profile building
    >> Interview preparation & mock interviews
    >> Microsoft PL-300 certification guidance
    >> Live Industry-Style Dashboard Project
    ***  Outcome ***
    >> Job-ready Power BI professional
    >> Strong portfolio for interviews
    ________________________________________
    ***  TOOLS & TECHNOLOGIES COVERED ***
    **  Power BI Desktop
    **  Power BI Service
    *** Advanced Excel
    *** SQL (Basic)
    ________________________________________
    *** CAREER OPPORTUNITIES ***
    >>  Data Analyst
    >> Business Intelligence Analyst
    >> MIS Executive
    >> Reporting Analyst
    >> Power BI Developer
    ________________________________________
    ***  COURSE HIGHLIGHTS ***
    >> Beginner-friendly teaching
    >> 100% practical sessions
    >> Live projects & assignments
    >> Small batches & personal attention
    >> Certification after completion
    >> Job assistance & interview support
    
    
    		

     *** SQL COURSE CONTENT (FOR STUDENTS & PROFESSIONAL) ***
    >>  No technical background required
    >>  Simple language | Step-by-step learning
    ________________________________________
    ***  MODULE 1: INTRODUCTION TO DATABASE & SQL ***
    >> What is Data?
    >> What is a Database?
    >> DBMS vs RDBMS
    >> Introduction to SQL
    >> Applications of SQL
    >> Popular databases (MySQL, SQL Server – overview)
    ________________________________________
    ***  MODULE 2: DATABASE & TABLE BASICS ***
    >> What is a Table?
    >> Rows and Columns
    >> Primary Key concept
    >> SQL Data Types:
    >> INT, FLOAT
    >> VARCHAR, CHAR
    >> DATE
    ________________________________________
    ***  MODULE 3: SQL COMMAND TYPES ***
    >> DDL Commands:
    >> CREATE
    >> ALTER
    >> DROP
    >> DML Commands:
    >> INSERT
    >> UPDATE
    >> DELETE
    >> DQL Command:
    >> SELECT
    >> TCL Commands (Intro):
    >> COMMIT
    >> ROLLBACK
    ________________________________________
    ***  MODULE 4: BASIC SQL QUERIES ***
    >> SELECT statement
    >> WHERE clause
    >> AND / OR / NOT operators
    >> ORDER BY clause
    >> DISTINCT keyword
    >> LIMIT / TOP clause
    ________________________________________
    ***  MODULE 5: FUNCTIONS IN SQL ***
    >> Aggregate Functions:
    >> COUNT()
    >> SUM()
    >> AVG()
    >> MIN()
    >> MAX()
    >> Basic String Functions
    >> Date Functions
    ________________________________________
    ***  MODULE 6: CONSTRAINTS ***
    >> PRIMARY KEY
    >> FOREIGN KEY
    >> UNIQUE
    >> NOT NULL
    >> CHECK
    ________________________________________
    ***  MODULE 7: JOINS (IMPORTANT FOR STUDENTS) ***
    >> INNER JOIN
    >> LEFT JOIN
    >> RIGHT JOIN
    *** Real-life examples using student & department tables
    ________________________________________
    ***  MODULE 8: GROUPING DATA ***
    >> GROUP BY clause
    >> HAVING clause
    >>  Difference between WHERE and HAVING
    ________________________________________
    ***  MODULE 9: SUBQUERIES ***
    >> What is a subquery?
    >> Single-row subqueries
    >> Multi-row subqueries
    ________________________________________
    ***  MODULE 10: INTRODUCTION TO ADVANCED SQL ***
    >> Views (basic)
    >> Indexes (intro)
    >> Transactions (basic idea)
    ________________________________________
    ***  MODULE 11: SQL FOR PRACTICAL & PROJECT ***
    >> Create Student Database
    >> Marks & Result Analysis
    >> Attendance Management System
    >> Mini Project using SQL
    ________________________________________
    ***  LEARNING OUTCOMES ***
    After completing this course, students will be able to:
    >>  Understand database concepts
    >>  Write SQL queries confidently
    >> Solve exam & practical questions
    >>  Create small projects using SQL
    ________________________________________
    >> TOOLS USED
    >> MySQL / SQL Server/ Oracle
    ________________________________________
    *** COURSE HIGHLIGHTS ***
    >>  Beginner-friendly syllabus
    >>  100% practical training
    >>  Exam-oriented explanation
    >> Certificate provided
    
    		


    Course Details:-
    ** Advanced Excel with AI ( Project)
    ** PowerBI (Project)
    ** Oracle/SQL (Project)
    ** Real Live Project
    
    
    Minimum Eligibility:Computer Science/ Any Graduate/Under Graduate/B-Tech/M-Tech/MBA
    COURSE FEE:- Rs. 30,000/- in   3 months(Offline/Online class in Batch)

    Course Duration:3 Months
    Mode Of Training:Online and Offline

    Course Outline of Data Analytics Diploma Course:-

    	*****  ADVANCED EXCEL COURSE *****
    
    ***** Basic to Advanced + MIS + Automation + ChatGPT Integration *****
    ------------------------------------------------------------------------------------------------
    **Course Level:** Beginner to Advanced**
    **Target Audience:** Students, Accountants, MIS Executives, Data Analysts, Office Professionals
    ------------------------------------------------------------------------------------------------
    **Objective:**
    To make learners **Excel experts** capable of handling **MIS reports, automation, data analysis, 
    dashboards, and real-world business projects** using **Advanced Excel & ChatGPT**.
    =====================================================
    
    ***  MODULE 1: Excel Basics & Workbook Management ***
    
    * Introduction to Microsoft Excel
    * Excel Interface & Ribbon
    * Working with Excel Files
    * Creating, Opening, Saving & Managing Workbooks
    * Worksheets: Insert, Rename, Delete, Move, Copy
    * Shortcut Keys & Excel References
    * Freeze Panes
    * Printing Excel Files (Page Setup, Print Area)
    ---------------------------------------------------------------------------------
    
    ***  MODULE 2: Data Entry & Formatting ***
    
    * Entering Data (Text, Numbers, Dates)
    * Working with Numbers
    * Formatting Data (Number, Currency, Date, Custom)
    * Cell Styles & Formatting
    * Conditional Formatting (Rules, Icon Sets, Data Bars)
    * Remove Duplicates
    * Text to Columns
    * Find & Replace
    
    -----------------------------------------------------------------------------------
    
    ****  MODULE 3: Managing & Manipulating Data ****
    
    * Sorting (Single & Multiple Levels)
    * Filter & Advanced Filter
    * Data Validation (Dropdown, Rules, Error Alerts)
    * Consolidate Data
    * Grouping & Outlining Data
    * Subtotal
    * Managing Large Data Sets
    
    -------------------------------------------------------------------------------------
    
    ****  MODULE 4: Excel Formulas & Cell References ****
    
    * Formula Basics
    * Absolute, Relative & Mixed Cell References
    * Formula Auditing
    * Error Handling & N Formula
    
    ---------------------------------------------------------------------------------
    
    ****  MODULE 5: Logical & Conditional Functions ****
    
    * IF Function
    * Multiple IF Function
    * AND, OR Functions
    * IF with AND / OR
    * What-If Analysis
    
      * Goal Seek
      * Scenario Manager
    
    --------------------------------------------------------------------------------
    
    ****  MODULE 6: Lookup & Reference Functions (IN-DEPTH) ****
    
    * VLOOKUP
     * VLOOKUP in Same Sheet
     * VLOOKUP in Different Sheet
    * HLOOKUP
    * XLOOKUP
    * MATCH Function
    * INDEX Formula
    * INDEX + MATCH
    * HLOOKUP with MATCH
    * VLOOKUP with MATCH
    * ISTEXT with VLOOKUP
    * ISNUMBER with VLOOKUP
    ------------------------------------------------------------------------------
    ****  MODULE 7: Database Functions ****
    
    * DSUM Function
    * DAVERAGE Function
    * DMIN & DMAX Functions
    
    -----------------------------------------------------------------------------
    
    **** MODULE 8: Mathematical & Statistical Functions ****
    
    * PMT, IPMT, PPMT
    * ABS, EXP, FACT
    * GCD, LCM
    * INT, MOD
    * POWER, SQRT
    * CEILING
    * CORREL
    * FREQUENCY
    * MAX, MIN
    * ROUND, ROUNDUP, ROUNDDOWN
    -------------------------------------------------------------------------------
    
    **** MODULE 9: Text & Date Functions  ****
    
    * LEFT, RIGHT, MID
    * LEN
    * LOWER, UPPER, PROPER
    * CONCATENATE
    * REPLACE
    * REPT
    * SEARCH
    * TRIM
    * EXACT
    * TODAY, NOW
    ----------------------------------------------------------------------------
    
    **** MODULE 10: Counting & Conditional Summing ****
    
    * COUNT, COUNTA
    * COUNTBLANK
    * COUNTIF
    * SUMIF
    * SUMIFS
    * CHOOSE
    ----------------------------------------------------------------------------
    
    ****  MODULE 11: Charts, Sparklines & Visualization ****
    
    * Working with Charts
    * Chart Types & Customization
    * Dynamic Charts
    * Sparklines
    
      * Line
      * Column
      * Win/Loss
    * Dynamic MAP Chart in Excel
    --------------------------------------------------------------------------
    
    **** MODULE 12: Pivot Table & Advanced Analytics ****
    
    * Working with Pivot Table
    * Pivot Table Calculations
    * Pivot Chart
    * Slicer
    * Timeline
    * Power View
    * Power Pivot
    * Solver
    ---------------------------------------------------------------------------
    
    ****  MODULE 13: MIS Reporting (CRITICAL MODULE) ****
    
    * What is MIS Report
    * Types of MIS Reports
    * MIS Report Examples
    * How to Effectively Prepare MIS Reports
    * Dashboard-Style MIS Reporting
    * Working with Salary Sheet
    * Performance & Financial MIS
    -------------------------------------------------------------------------
    
    ****  MODULE 14: Master Sheet & Automation ****
    
    * How to Make a Master Sheet
    * Designing Structured Data
    * Splitting Data from Master Sheet into Multiple Worksheets
    * Dynamic Data Handling
    -------------------------------------------------------------------------
    
    ****  MODULE 15: Forms, Macros & Automation ****
    
    * Data Entry Form in Excel (Without VBA)
    * Excel Forms Like Software
    * Introduction to MACROS
    * Recording & Running Macros
    * Using Macros for Automation
    
    -----------------------------------------------------------------------------
    
    ****  MODULE 16: ChatGPT with Excel (ADVANCED LEVEL) ****
    
    * Introduction to ChatGPT for Excel
    * Using ChatGPT Add-ins for Excel
    * Formula Generation using ChatGPT
    * Data Cleaning with ChatGPT
    * MIS Report Automation using ChatGPT
    * Advanced Use Cases of ChatGPT with Excel
    
    **Practical:**
    Excel automation using ChatGPT prompts
    -----------------------------------------------------------------------------
    
    ****  MODULE 17: Live Project (REAL-WORLD) ****
    
    **** Live Projects:
    
    * Salary Management System
    * Sales & MIS Dashboard
    * Financial Analysis Report
    * Automated Excel System using ChatGPT
    --------------------------------------------------------------------------------
    
    ****  COURSE OUTCOMES ****
    
    After completing this course, students will:
    ✔ Become Advanced Excel Professionals
    ✔ Create MIS & Management Reports
    ✔ Automate Excel Workflows
    ✔ Master Lookup & Pivot Techniques
    ✔ Use ChatGPT for Excel Productivity
    ✔ Be Job-Ready for MIS / Data / Accounts Roles
    ---------------------------------------------------------------------------------
    **** COURSE HIGHLIGHTS
    
    ✔ Basic to Advanced Excel
    ✔ 100% Practical Training
    ✔ Live Projects
    ✔ Automation & ChatGPT Integration
    ✔ Certificate After Completion
    ✔ Job & Interview Support
    ________________________________________
    ***  LEARNING OUTCOMES ***
    >> By the end of this masterclass, you will be able to: << 
    >>  Build interactive dashboards & reports
    >>  Automate repetitive tasks with Macros
    >>  Handle large datasets efficiently
    >>  Perform advanced analysis for sales, finance, HR & MIS
    >>  Prepare a portfolio for interviews & career growth
    ________________________________________
    ***  WHY JOIN THIS COURSE? ***
    >> Beginner-friendly → Advanced → Professional track
    >> 100% hands-on practice
    >> Live projects & assignments
    >> Industry-ready skills for office & data analytics
    >> Certificate & Job Assistance
    		

    ***  MASTER POWER BI  - FROM BEGINNER TO JOB-READY PROFESSIONAL ***
    >>  Industry-Oriented Power BI Certification Course
    >>  Designed for Students | Working Professionals | Job Seekers
    ________________________________________
    ###  WHY LEARN POWER BI?
    Power BI is one of the most in-demand business intelligence tools used by top companies to analyze data and make smart decisions.
    This course will help you transform raw data into powerful dashboards, even if you are from a non-technical background.
    ________________________________________
    ***  LEVEL 1: POWER BI BEGINNER (FOUNDATION LEVEL) ***
    ##  Build Strong Basics with Confidence
    ## What You Will Learn
    >> Introduction to Data Analytics & Business Intelligence
    >> Understanding Power BI ecosystem
    >> Installing & exploring Power BI Desktop
    >> Importing data from Excel, CSV & text files
    >> Basic data cleaning & preparation
    >> Creating beautiful charts & reports
    >> Filters, slicers & simple interactions
    >> Hands-On Practice
    >> Create your first interactive Sales Dashboard
    >> Outcome
    >> Understand Power BI fundamentals
    >> Create clean & simple reports
    >> Perfect for beginners & freshers
    ________________________________________
    ***  LEVEL 2: POWER BI INTERMEDIATE (PRACTICAL LEVEL) ***
    >>  Work with Real-World Business Data
    >> What You Will Learn
    >> Advanced Power Query (data transformation)
    >> Merge & append multiple datasets
    >> Data modeling & relationships
    >> Star schema concept
    >> Introduction to DAX formulas
    >> Business calculations (Sales, Profit, Growth %)
    >> Drill-down, drill-through & KPI visuals
    >> Professional dashboard formatting
    >> Hands-On Practice
    >> Sales & Profit Performance Dashboard
    >> Monthly MIS Report
    *** Outcome ***
    >> Build interactive & professional dashboards
    >> Analyze business performance effectively
    ________________________________________
    ***  LEVEL 3: POWER BI PROFESSIONAL (ADVANCED LEVEL) ***
    >> Think Like a Data Analyst
    >> What You Will Learn
    >> Advanced DAX (CALCULATE, FILTER, ALL)
    >> Time intelligence (YTD, MTD, YoY analysis)
    >> Advanced data modeling techniques
    >> Date table creation
    >> Power BI Service & cloud publishing
    >> Row-Level Security (RLS)
    >> Database connectivity (SQL Server / MySQL)
    >> Performance optimization
    >> Hands-On Practice
    >> Finance & Budget Dashboard
    >> Management-Level MIS Dashboard
    ***  Outcome ***
    >> Handle large & complex datasets
    >> Build enterprise-level dashboards
    ________________________________________
    ***  LEVEL 4: JOB SEEKER / CAREER TRACK ***
    >> Become 100% Industry-Ready
    >> What You Will Learn
    >> End-to-end real-time projects
    >> HR Analytics (Attrition, Hiring, Salary)
    >> Customer Analytics (Behavior & Retention)
    >> Power BI + Advanced Excel integration
    >> Basic SQL for Data Analysts
    >> Dashboard storytelling techniques
    >> Resume & LinkedIn profile building
    >> Interview preparation & mock interviews
    >> Microsoft PL-300 certification guidance
    >> Live Industry-Style Dashboard Project
    ***  Outcome ***
    >> Job-ready Power BI professional
    >> Strong portfolio for interviews
    ________________________________________
    ***  TOOLS & TECHNOLOGIES COVERED ***
    **  Power BI Desktop
    **  Power BI Service
    *** Advanced Excel
    *** SQL (Basic)
    ________________________________________
    *** CAREER OPPORTUNITIES ***
    >>  Data Analyst
    >> Business Intelligence Analyst
    >> MIS Executive
    >> Reporting Analyst
    >> Power BI Developer
    ________________________________________
    ***  COURSE HIGHLIGHTS ***
    >> Beginner-friendly teaching
    >> 100% practical sessions
    >> Live projects & assignments
    >> Small batches & personal attention
    >> Certification after completion
    >> Job assistance & interview support
    
    		

     *** SQL COURSE CONTENT (FOR STUDENTS &  PROFESSIONAL) ***
    >>  No technical background required
    >>  Simple language | Step-by-step learning
    ________________________________________
    ***  MODULE 1: INTRODUCTION TO DATABASE & SQL ***
    >> What is Data?
    >> What is a Database?
    >> DBMS vs RDBMS
    >> Introduction to SQL
    >> Applications of SQL
    >> Popular databases (MySQL, SQL Server – overview)
    ________________________________________
    ***  MODULE 2: DATABASE & TABLE BASICS ***
    >> What is a Table?
    >> Rows and Columns
    >> Primary Key concept
    >> SQL Data Types:
    >> INT, FLOAT
    >> VARCHAR, CHAR
    >> DATE
    ________________________________________
    ***  MODULE 3: SQL COMMAND TYPES ***
    >> DDL Commands:
    >> CREATE
    >> ALTER
    >> DROP
    >> DML Commands:
    >> INSERT
    >> UPDATE
    >> DELETE
    >> DQL Command:
    >> SELECT
    >> TCL Commands (Intro):
    >> COMMIT
    >> ROLLBACK
    ________________________________________
    ***  MODULE 4: BASIC SQL QUERIES ***
    >> SELECT statement
    >> WHERE clause
    >> AND / OR / NOT operators
    >> ORDER BY clause
    >> DISTINCT keyword
    >> LIMIT / TOP clause
    ________________________________________
    ***  MODULE 5: FUNCTIONS IN SQL ***
    >> Aggregate Functions:
    >> COUNT()
    >> SUM()
    >> AVG()
    >> MIN()
    >> MAX()
    >> Basic String Functions
    >> Date Functions
    ________________________________________
    ***  MODULE 6: CONSTRAINTS ***
    >> PRIMARY KEY
    >> FOREIGN KEY
    >> UNIQUE
    >> NOT NULL
    >> CHECK
    ________________________________________
    ***  MODULE 7: JOINS (IMPORTANT FOR STUDENTS) ***
    >> INNER JOIN
    >> LEFT JOIN
    >> RIGHT JOIN
    *** Real-life examples using student & department tables
    ________________________________________
    ***  MODULE 8: GROUPING DATA ***
    >> GROUP BY clause
    >> HAVING clause
    >>  Difference between WHERE and HAVING
    ________________________________________
    ***  MODULE 9: SUBQUERIES ***
    >> What is a subquery?
    >> Single-row subqueries
    >> Multi-row subqueries
    ________________________________________
    ***  MODULE 10: INTRODUCTION TO ADVANCED SQL ***
    >> Views (basic)
    >> Indexes (intro)
    >> Transactions (basic idea)
    ________________________________________
    ***  MODULE 11: SQL FOR PRACTICAL & PROJECT ***
    >> Create Student Database
    >> Marks & Result Analysis
    >> Attendance Management System
    >> Mini Project using SQL
    ________________________________________
    ***  LEARNING OUTCOMES ***
    After completing this course, students will be able to:
    >>  Understand database concepts
    >>  Write SQL queries confidently
    >> Solve exam & practical questions
    >>  Create small projects using SQL
    ________________________________________
    >> TOOLS USED
    >> MySQL / SQL Server/ Oracle
    ________________________________________
    *** COURSE HIGHLIGHTS ***
    >>  Beginner-friendly syllabus
    >>  100% practical training
    >>  Exam-oriented explanation
    >> Certificate provided
    
    		

    ###  TABLEAU  COURSE  ###
    
    ***** Foundations of Data Visualization & Business Intelligence *****
    To build a strong foundation in Tableau, enabling learners to connect data, create basic visualizations, and design simple interactive dashboards.
    
    ***  MODULE 1: Introduction to Business Intelligence & Tableau ***
    
    * What is Business Intelligence (BI)?
    * Importance of Data Visualization
    * Role of Tableau in Data Analytics
    * Tableau Products Overview
    * Tableau Desktop
    * Tableau Public
    * Tableau Server / Cloud (Conceptual)
    * Types of Data Analytics (Overview)
    * Installing Tableau Desktop & Tableau Public
    * Understanding Tableau Interface
    * Workspace
    * Shelves (Rows, Columns)
    * Cards (Marks, Filters)
    * Data Pane
    
    **Practical:**
    Opening Tableau, exploring the interface, creating first worksheet
    
    ****  MODULE 2: Connecting to Data Sources ****
    
    * Supported Data Sources in Tableau
    * Excel
    * CSV / Text files
    * Live Connection vs Extract (Basic concept)
    * Understanding Data Types
    * String
    * Number
    * Date
    * Dimensions vs Measures
    * Data Preview & Metadata
    * Renaming fields & basic data cleanup
    
    **Practical:**
    Connect Excel data and prepare dataset for analysis
    
    ****  MODULE 3: Tableau Visualization Basics ****
    * Understanding Marks Card
     * Color
     * Size
     * Label
     * Detail
    * Using the “Show Me” Feature
    * Creating Basic Charts
    * Bar Chart
    * Line Chart
    * Pie Chart
    * Text Table
    * Sorting & Filtering Data
    * Basic Formatting (colors, fonts, labels)
    
    **Practical:**
    Sales & performance visualizations
    ----------------------------------------------------------------
    
    ****  MODULE 4: Filters, Groups & Sets (Basic) ****
    
    * Dimension Filters
    * Measure Filters
    * Date Filters
    * Creating Groups
    * Creating Sets (Intro level)
    * Applying Filters to Worksheets
    
    **Practical:**
    Category-wise & region-wise analysis
    ------------------------------------------------------------------
    
    ****  MODULE 5: Basic Calculations in Tableau ****
    
    * Introduction to Calculated Fields
    * Basic Mathematical Calculations
    * Simple String Functions
    * Basic Date Calculations
    * IF & CASE Statements (Intro)
    
    **Practical:**
    Profit, discount & growth calculations
    -------------------------------------------------------------------
    ****  MODULE 6: Basic Charts & Visual Enhancements ****
    
    * Bar chart variations
    * Line charts with trends
    * Simple area charts
    * Highlight tables
    * Basic tooltips
    * Formatting dashboards for readability
    
    **Practical:**
    Comparative data visualization
    -----------------------------------------------------------------
    
    ****  MODULE 7: Introduction to Dashboards ****
    
    * What is a Dashboard?
    * Creating Dashboards
    * Adding Worksheets to Dashboard
    * Dashboard Layout Basics
    * Applying Filters to Dashboards
    * Simple Dashboard Actions (Intro)
    
    **Practical:**
    Create a basic interactive dashboard
    ------------------------------------------------------------------
    
    ****  MODULE 8: Introduction to Storytelling (Basic) ****
    
    * What is Data Storytelling?
    * Creating a Tableau Story
    * Adding Story Points
    * Presenting Data Insights
    
    **Practical:**
    Short business story using data
    -----------------------------------------------------------------
    
    ****  MODULE 9: Saving, Sharing & Publishing ****
    
    * Saving Tableau Workbooks
    * Exporting Images & PDFs
    * Publishing to Tableau Public
    * Sharing Dashboards
    ----------------------------------------------------------------
    ****  MODULE 10: Mini Project & Review ****
    
    **  Mini Project:
    
    * Sales Dashboard
    * Student Performance Dashboard
    
    **** Review:
    
    * Dashboard improvement tips
    * Common beginner mistakes
    * Best practices for clean visuals
    
    ------------------------------------------------------------------
    
    ****  COURSE OUTCOMES ****
    
    After completing this course, learners will be able to:
    >>  Understand BI & data visualization concepts
    >>  Connect and prepare basic data
    >>  Create meaningful charts & dashboards
    >>  Apply filters and basic calculations
    >>  Publish and share Tableau dashboards
    
    ------------------------------------------------------------------------
    
    ****** COURSE HIGHLIGHTS ******
    
    >>  Beginner-Friendly
    >>  100% Practical Training
    >>  Real-World Examples
    >>  Industry-Standard Tool
    >>  Certificate After Completion
    
    	

    *** PYTHON PROGRAMMING ***
    >>> Basic to Professional (Data Analysis & Visualization Track) <<< 
    *** Industry-Ready | Job-Oriented | Comprehensive | Practical | Industry-Oriented ***
    ________________________________________
    ***  MODULE 1: Python Programming Fundamentals
    >> Introduction to Programming Concepts
    >> Why Python? (Industry Demand & Career Scope)
    >> Python Features & Advantages
    >> Python Applications (IT, Data, Automation, AI, Web)
    >> Installing Python Environment
    >> Python Interpreter
    >> Anaconda Distribution
    >> Jupyter Notebook
    >> VS Code
    >> Python Program Structure
    >> Python Syntax Rules
    >> Indentation & Code Blocks
    >> Comments (Single-line & Multi-line)
    ** Hands-on: ** 
    Writing first Python program, basic input-output programs
    ________________________________________
    ***  MODULE 2: Variables, Data Types & Operators ***
    >> Variables & Memory
    >> Variable declaration & assignment
    >> Dynamic typing
    >> Multiple assignment
    >> Type casting
    ** Built-in Data Types
    >> Numeric types (int, float, complex)
    >> Boolean
    >> String
    >> None
    ** Operators ** 
    >> Arithmetic operators
    >> Relational operators
    >> Logical operators
    >> Assignment operators
    >> Bitwise operators
    >> Membership operators
    >> Identity operators
    ** Hands-on:
    *** Salary calculation, percentage system, logical problem solving
    ________________________________________
    ***  MODULE 3: Control Flow & Looping Statements ***
    ** Decision Making
    >> if statement
    >> if–else
    >> if–elif–else
    >> Nested conditional statements
    ** Looping
    >> for loop
    >> while loop
    >> Loop with else
    >> break statement
    >> continue statement
    >> pass statement
    ** Logical Programs
    >> Prime numbers
    >> Armstrong number
    >> Palindrome
    >> Fibonacci series
    >> Pattern printing
    ________________________________________
    *** MODULE 4: Python Core Data Structures (In-Depth) ***
    ** Strings
    >> String creation
    >> Indexing & slicing
    >> String immutability
    >> String methods
    >> String formatting (format, f-string)
    ** Lists
    >> Creating lists
    >> Indexing & slicing
    >> List methods
    >> Nested lists
    >> List comprehension
    ** Tuples
    >> Tuple creation
    >> Tuple operations
    >> Tuple packing & unpacking
    ** Sets
    >> Set creation
    >> Set methods
    >> Set operations (union, intersection, difference)
    ** Dictionaries
    >> Dictionary structure
    >> Accessing keys & values
    >> Dictionary methods
    >> Nested dictionaries
    --- Hands-on:
    >> Student database, shopping cart, inventory management
    ________________________________________
    ***  MODULE 5: Functions & Modular Programming ***
    >> Built-in functions
    >> User-defined functions
    >> Function declaration & calling
    >> Function arguments
    >> Positional arguments
    >> Keyword arguments
    >> Default arguments
    >> *args & **kwargs
    >> Return statement
    >> Lambda (anonymous) functions
    >> Recursion
    >> Scope of variables (local, global)
    >> Creating & using modules
    >> Packages & imports
    ** Hands-on:
    >> Menu-driven applications, reusable program modules
    ________________________________________
    ***  MODULE 6: File Handling & Exception Handling ***
    ** File Handling
    >> File object & file modes
    >> Reading from text files
    >> Writing & appending files
    >> Working with CSV files
    >> File pointer operations
    >> OS & sys module basics
    ** Exception Handling
    >> Types of errors
    >> Exception handling flow
    >> try, except, else, finally
    >> Handling multiple exceptions
    >> User-defined exceptions
    ** Hands-on:
    >> File-based student & employee record system
    ________________________________________
    ***  MODULE 7: Object-Oriented Programming (OOPs) ***
    >> Object-Oriented concepts
    >> Class & Object
    >> Constructor (init)
    >> Instance variables & methods
    >> Class variables & methods
    >> Inheritance
    >> Single
    >> Multilevel
    >> Multiple
    >> Polymorphism
    >> Encapsulation
    >> Abstraction
    >> Method overriding
    ** Hands-on:
    >> OOP-based management system project
    ________________________________________
    ****  DATA ANALYSIS & VISUALIZATION (PRO LEVEL) ****
    ________________________________________
    ***  MODULE 8: NumPy - Numerical Computing (Detailed) ***
    >> Introduction to NumPy
    >> NumPy array vs Python list
    >> Creating arrays
    >> 1D, 2D, 3D,4D,5D arrays
    >> Array attributes (shape, size, dtype)
    >> Reshaping arrays
    >> Indexing & slicing
    >> Mathematical operations
    >> Statistical functions
    >> Broadcasting
    >> Universal functions (ufuncs)
    >> Random number generation
    >> Linear algebra basics
    *** Hands-on:
    >> Numerical data analysis & performance testing
    ________________________________________
    *** MODULE 9: Pandas – Data Analysis (Detailed) ***
    ** * Pandas Basics
    >> Pandas Series
    >> Pandas DataFrame
    >> Reading data (CSV, Excel, SQL)
    >> Inspecting datasets
    *** Data Cleaning
    >> Handling missing values
    >> Data type conversion
    >> Renaming columns
    >> Removing duplicates
    *** Data Manipulation
    >> Indexing & slicing
    >> Filtering data
    >> Sorting
    >> GroupBy operations
    >> Aggregation functions
    *** Data Integration
    >> Merge
    >> Join
    >> Concatenate
    >> Time Series Basics
    >> Date & time handling
    *** Hands-on:
    >> Sales analysis, student performance analysis, real datasets
    ________________________________________
    ***  MODULE 10: Matplotlib - Data Visualization (Detailed) ***
    >> Introduction to Matplotlib
    >> Plot structure & figure
    >> Line plots
    >> Bar charts
    >> Histograms
    >> Scatter plots
    >> Pie charts
    >> Subplots
    >> Titles, labels & legends
    >> Grid & customization
    ** Hands-on:
    >> Visual analysis reports & charts
    ________________________________________
    ***  MODULE 11: Seaborn  -  Advanced Visualization ***
    >> Introduction to Seaborn
    >> Seaborn vs Matplotlib
    >> Relational plots
    >> Categorical plots
    >> Distribution plots
    >> Heatmaps
    >> Pair plots
    >> Statistical visualization
    ** Hands-on:
    >> Professional data dashboards & insight reports
    ________________________________________
    ***  MODULE 12: Python with Database *** 
    >> Introduction to Databases
    >> SQL basics for Python users
    >> Connecting Python with MySQL / SQLite
    >> CRUD operations
    >> Fetching data for analysis
    >> Database-driven projects
    ________________________________________
    ***  MODULE 13: Projects, Certification & Career Preparation ***
    ** Projects
    >> Student Management System
    >> End-to-End Data Analysis Project
    >> Data collection
    >> Data cleaning
    >> Analysis using Pandas
    >> Visualization using Matplotlib & Seaborn
    >> Final report
    *** Career Support ***
    >> Resume preparation
    >> Git & GitHub basics
    >> Interview questions (Python & Data Analysis)
    >> Mock interviews
    
    ________________________________________
    *** COURSE OUTCOMES ***
    ** After completion, students can:
    >>  Write professional Python programs
    >>  Perform real-world data analysis
    >>  Create data visualizations & reports
    >> Work with databases
    >>  Apply for Python Developer / Data Analyst roles
    
    	

    ****  MONGODB ****
    
    ***  MODULE 1: Introduction to Databases & NoSQL ***
    
    * What is a Database?
    * Limitations of Traditional RDBMS
    * Introduction to NoSQL Databases
    * Types of NoSQL Databases (Key-Value, Document, Column, Graph)
    * Why MongoDB?
    * Use cases of MongoDB
    * Comparison: SQL vs NoSQL
    
    **Practical:**
    Understanding real-world NoSQL examples
    -------------------------------------------------------------------------------
    
    ***  MODULE 2: Introduction to MongoDB ***
    
    * What is MongoDB?
    * Features of MongoDB
    * MongoDB Architecture
    * BSON vs JSON
    * Documents, Collections & Databases
    * MongoDB Editions & Use Cases
    
    **Practical:**
    Exploring MongoDB environment
    ------------------------------------------------------------------------------
    
    *** MODULE 3: MongoDB Installation & Tools ***
    
    * Installing MongoDB Community Edition
    * MongoDB Compass (GUI Tool)
    * MongoDB Shell (mongosh)
    * Connecting to MongoDB Server
    * Creating Database & Collections
    
    **Practical:**
    Using MongoDB Compass & Shell
    ------------------------------------------------------------------------------
    ****  MODULE 4: MongoDB Data Model ****
    
    * Document Structure
    * Field & Data Types
    * Embedded Documents
    * Arrays in MongoDB
    * Schema Design Basics
    * One-to-One & One-to-Many Relationships
    
    **Practical:**
    Designing collections for student & product data
    -----------------------------------------------------------------------------
    
    ***  MODULE 5: CRUD Operations in MongoDB ***
    
    ***  Create
    
    * insertOne()
    * insertMany()
    
    ***  Read
    
    * find()
    * findOne()
    * Query operators
    
    *** Update
    
    * updateOne()
    * updateMany()
    * $set, $inc, $unset
    
    ***  Delete
    
    * deleteOne()
    * deleteMany()
    
    **Practical:**
    Student management CRUD application
    -----------------------------------------------------------------------------
    
    ***  MODULE 6: Querying & Filtering Data ***
    
    * Comparison Operators ($eq, $gt, $lt, $gte, $lte)
    * Logical Operators ($and, $or, $not)
    * Projection
    * Sorting Data
    * Limiting & Skipping Records
    
    **Practical:**
    Searching & filtering datasets
    ----------------------------------------------------------------------------
    
    ***  MODULE 7: Indexes & Performance (Basic) ***
    * What are Indexes?
    * Creating Indexes
    * Types of Indexes (Basic)
    * Index Performance Overview
    
    **Practical:**
    Indexing frequently searched fields
    ---------------------------------------------------------------------------
    
    ***  MODULE 8: Aggregation Framework (Introduction) ***
    
    * What is Aggregation?
    * Aggregation Pipeline Concept
    * $match
    * $group
    * $project
    * $sort
    * $limit
    
    **Practical:**
    Simple reports using aggregation
    -----------------------------------------------------------------------------
    
    ***  MODULE 9: Data Security & Backup (Basic) ****
    
    * User Roles & Permissions
    * Basic Authentication Concepts
    * Backup & Restore Overview
    * Exporting & Importing Data
    --------------------------------------------------------------------------
    
    ***  MODULE 10: MongoDB with Programming Languages (Intro) ***
    
    * MongoDB with Python (Overview)
    * MongoDB with Node.js (Conceptual)
    * Connecting MongoDB to Applications
    
    **Practical:**
    Simple MongoDB-Python connectivity demo
    ---------------------------------------------------------------------------
    
    ***  MODULE 11: Mini Project & Review ***
    
    ***  Mini Project:
    
    * Student Database System
    * Product Inventory System
    
    ***  Review:
    
    * Best practices
    * Common beginner mistakes
    * Real-world MongoDB use cases
    ------------------------------------------------------------------------------
    ***  COURSE OUTCOMES
    
    After completing this course, learners will be able to:
    >>  Understand NoSQL & MongoDB concepts
    >>  Design basic MongoDB schemas
    >>  Perform CRUD operations
    >>  Query & filter data effectively
    >>  Use MongoDB Compass & Shell
    --------------------------------------------------------------------------------
    
    ****  COURSE HIGHLIGHTS ****
    
    ✔ Beginner-Friendly
    ✔ 100% Practical Sessions
    ✔ Industry-Standard NoSQL Database
    ✔ Certificate After Completion
    	

    * Introduction to Data Visualization * Types of data, Graphical representation * Correlation, Data Modeling & Index Numbers * Measures of Central Tendency & Dispersion * Forecasting & Time Series Analysis


    Course Details:-
    ** MS Advanced Access(with SQL query)
    ** Advanced Excel with AI
    ** PowerBI (Project)
    ** Tableau (Project)
    ** Python (NumPy,Pandas,Matplotlib,Seaborn) (Project)
    ** Oracle/SQL (Project)
    ** MongoDB (Project)
    ** Live Project
    
    
    Minimum Eligibility:Computer Science/ Any Graduate/Under Graduate/B-Tech/M-Tech/MBA
    COURSE FEE:- Rs. 50,000/- in 6 months(Offline/Online class in Batch)

    AND

    Rs. 5,000/- (per Month) x 12 Months (Offline class in Batch)

    AND

    Rs. 80,000/- (Online/Offline class for Single)

    Course Duration:6 Months
    Mode Of Training:Online and Offline

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