Big Data with Applied Analytic is a unique course where you start your analytic journey with Data Science using R programming and then get onto Big Data Hadoop Administration and Development, so that you get an overall mastery on Analytics where you can apply  it in the real world.

This Course is carefully crafted by our industry experts to cater one-stop solution to the people who are really serious about learning Big Data and Data Science to upgrade their Career. There will be lots of Hands-on sessions with real world datasets to re-inforce the concepts, followed by a CapStone Project to apply all that you learnt in the course.

Big Data with Applied Analytic 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 Analytic, 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 worldâ??s most interesting problems!

As per Daniel Eager, professor at Duke University : â??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 analytic into their operations.â??

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

WHAT IS R ?

Weâ??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.

The Big Data Challenge and Opportunity

Big Data analytic provides organizations an opportunity for disruptive change and growth. In most cases,however, the data sets are too large, move too fast or are too complex for the traditional computing environment, which creates a significant challenge. The technologies are available; however, an investment of time, money and resources will be necessary to fully implement a Big Data solution.