# Data Science

**1 STUDENTS ENROLLED**

**Weekend Batch (Online and Classroom) by our industry experts !! Enrollments started already.. Hurry up !!!**

**OVERVIEW**

Data Analytics has become the central approach to tackling data-heavy problems in business. In this course, students learn how data science is dealt with in the wild, with a focus on data acquisition, regressions, Manipulating data using R programing and application of Analytics,feature engineering, and model creation & validation.

Students use the R Programming, Python and Scala to work through real-world examples that illustrate these concepts. Concurrently, students should learn some of the statistical and mathematical foundations that power the data-scientific approach to problem solving.

**WHY ANALYTICS AND DATA SCIENCE NOW ?**

Data Scientist has become the central approach to tackling data-heavy problems in business. In this course, students learn how data science is dealt with in the wild, with a focus on data acquisition, regressions, Manipulating data using R programming and application of Analytics, feature engineering, and model creation & validation. Students use the R Programming to work through real-world examples that illustrate these concepts. Concurrently, students should learn some of the statistical and mathematical foundations that power the data-scientific approach to problem solving.

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world’s most interesting problems!

As per Daniel Egger, professor at Duke University : “*No commercial for-profit company that is in a competitive market can remain profitable or even survive over the next five years without incorporating best practices for business data analytics into their operations.”*

So learning how to analyze data will be the most valuable expertise in your career in next five years

**WHAT IS R ?**

We’ll teach you how to program with R, how to create amazing data visualizations ! Few Facts about R:

- R is an open-source software project: R is free and its open interfaces allow it to integrate with other applications and systems.
- R is data analysis software: anyone who needs to make sense of data can use R for statistical analysis, data visualization, and predictive modeling.
- R is a programming language: An object-oriented language created by statisticians, R provides objects, operators, and functions that allow users to explore, model, and visualize data.
- R is an environment for statistical analysis: Standard statistical methods are easy to implement in R, and since much of the cutting-edge research in statistics and predictive modeling is done in R, newly developed techniques are often available in R first.

**WHO IS THIS COURSE FOR?**

Data Sciences using R program, Python and Scala is for anyone with a basic understanding of data analysis techniques and anyone interested in improving their ability to tackle problems involving multi-dimensional data in a systematic, principled way. A familiarity with a programming language is helpful, but not necessary, No prior advanced mathematical training beyond an introductory statistics course is necessary.