"Data Science" Programming Language

Goto “C” Programming Language

“Data Science” Programming Language

Best Programming Language Training Institute in Kolkata

Data science is a deep study of the massive amount of data, which involves extracting meaningful insights from raw, structured, and unstructured data that is processed using the scientific method, different technologies, and algorithms. It is a multidisciplinary field that uses tools and techniques to manipulate the data so that you can find something new and meaningful.

Data science uses the most powerful hardware, programming systems, and most efficient algorithms to solve the data related problems. It is the future of artificial intelligence.

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

Online Tution Available

Our Successful Students

1 / 3

Abhradip Pal (B. Tech)

2 / 3

Hariram Behera (B. Tech)

3 / 3

Samyabrata Chatterjee(MCA)

Why Learn “Data Science” Programming?

Asking the correct questions and analyzing the raw data.
Modeling the data using various complex and efficient algorithms.
Visualizing the data to get a better perspective.
Understanding the data to make better decisions and finding the final result.

Example:- Let suppose we want to travel from station A to station B by car. Now, we need to take some decisions such as which route will be the best route to reach faster at the location, in which route there will be no traffic jam, and which will be cost-effective. All these decision factors will act as input data, and we will get an appropriate answer from these decisions, so this analysis of data is called the data analysis, which is a part of data science.

Need for Data Science:

best data science training institute in kolkata

Some years ago, data was less and mostly available in a structured form, which could be easily stored in excel sheets, and processed using BI tools. But in today's world, data is becoming so vast, i.e., approximately 2.5 quintals bytes of data is generating on every day, which led to data explosion. It is estimated as per researches, that by 2020, 1.7 MB of data will be created at every single second, by a single person on earth. Every Company requires data to work, grow, and improve their businesses.

With the help of data science technology, we can convert the massive amount of raw and unstructured data into meaningful insights.
Data science technology is opting by various companies, whether it is a big brand or a startup. Google, Amazon, Netflix, etc, which handle the huge amount of data, are using data science algorithms for better customer experience.
Data science is working for automating transportation such as creating a self-driving car, which is the future of transportation.
Data science can help in different predictions such as various survey, elections, flight ticket confirmation, etc.

Data science Jobs:

As per various surveys, data scientist job is becoming the most demanding Job of the 21st century due to increasing demands for data science. Some people also called it "the hottest job title of the 21st century". Data scientists are the experts who can use various statistical tools and machine learning algorithms to understand and analyze the data. The average salary range for data scientist will be approximately $95,000 to $ 165,000 per annum, and as per different researches, about 11.5 millions of job will be created by the year 2026.

Types of Data Science Job:

If you learn data science, then you get the opportunity to find the various exciting job roles in this domain. The main job roles are given below:

Data Scientist
Data Analyst
Machine learning expert
Data engineer
Data Architect
Data Administrator
Business Analyst
Business Intelligence Manager

Below is the explanation of some critical job titles of data science:

Data analyst is an individual, who performs mining of huge amount of data, models the data, looks for patterns, relationship, trends, and so on. At the end of the day, he comes up with visualization and reporting for analyzing the data for decision making and problem-solving process.

Skill required: For becoming a data analyst, you must get a good background in mathematics, business intelligence, data mining, and basic knowledge of statistics. You should also be familiar with some computer languages and tools such as MATLAB, Python, SQL, Hive, Pig, Excel, SAS, R, JS, Spark, etc.

The machine learning expert is the one who works with various machine learning algorithms used in data science such as regression, clustering, classification, decision tree, random forest, etc.

Skill required: Computer programming languages such as Python, C++, R, Java, and Hadoop. You should also have an understanding of various algorithms, problem-solving analytical skill, probability, and statistics.

A data engineer works with massive amount of data and responsible for building and maintaining the data architecture of a data science project. Data engineer also works for the creation of data set processes used in modeling, mining, acquisition, and verification.

Skill required: Data engineer must have depth knowledge of SQL, MongoDB, Cassandra, HBase, Apache Spark, Hive, MapReduce, with language knowledge of Python, C/C++, Java, Perl, etc.

A data scientist is a professional who works with an enormous amount of data to come up with compelling business insights through the deployment of various tools, techniques, methodologies, algorithms, etc.

Skill required: To become a data scientist, one should have technical language skills such as R, SAS, SQL, Python, Hive, Pig, Apache spark, MATLAB. Data scientists must have an understanding of Statistics, Mathematics, visualization, and communication skills.

Course Details:-
** MS Access
** Advanced Excel
** Data Structure and Algorithm
** C 
** C++
** Java
** Python
** SQL

Minimum Eligibility:	Computer Science/ Any Graduate	COURSE FEE Rs. 50,000/-
Course Duration:	6 Months
Mode Of Training:	Online and Offline

"Data Science" Programming Language