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Analytics
Categories:
IT
Description

ABOUT THIS COURSE

Demand for skilled data professionals continues to soar, with IBM recently predicting that there will be a 28% increase in the number of employed data scientists in the next two years.Businesses in all industries are beginning to capitalize on the vast increase in data and the new big data technologies becoming available for analyzing and gaining value from it, according to Forbes magazine.

At the top of the hierarchy in this sphere is Machine Learning and Artificial Intelligence. However, for you to start offthis pathway you need to attain expertise in some of the technology and statistical tools. So start off your dream of becoming an Machine Learning expert by taking this course.

It starts with an introduction to the domain, provides you the statistical tools, open source tools such as R and a rigorous exercise to learn Python progamming and Spark, a must-need tool for data wrangling and analysis. All these helps you become a consummate professional data analyst and expert.

Rated Top 3 in Analytics programs in the country, Praxis Business Schools has designed the program through its Industry veterans in the Analytics domain. 

LEARNING OBJECTIVES

  • Get the preliminary skills to become an expert in R and Statistical tools
  • Hone your programming skills in Python
  • Use Python to gain expertise in data analysis, overlaying it with Spark
  • Get the basic expertise to go on to become a Machine Learning engineer

KEY TOPICS COVERED

  • Big Data 101
  • Python
  • Spark with Python
  • Statistics with R


PRE-REQUISITES TO REGISTER FOR THE COURSE: 

  • No Pre-Requisites applicable.

Faculty Profiles
Frequently Asked Questions