Big Data Analytics - Essential

Data is everywhere and it is transforming our world. Almost all industries are bracing big data and using different data analysis techniques to dig out valuable insights, and create data-driven solutions for their challenges. More and more companies are hiring professionals who can analyse and visualise data, uncover insights to make better decisions.

The Star Big Data Analytics program introduces the learners to the most popular data analytics language, R and one of the most common frameworks, Hadoop. The program helps the learners acquire a fundamental understanding of big data and machine learning, data mining concepts, data visualization and mobile analytics. The purpose of the SBDA is to help the learners master the skills they need to establish a successful career as a data analyst.

Audience

Beginner Level

Big Data Analytics - Essential Course Objectives

In this course, you will learn about:

Big Data and its impact on businesses
Data analysis using R programming and visualization tools
Different data mining techniques
Big Data and Hadoop
Machine learning concepts and Hadoop

Course Outcome

After completing this course, you will be able to:

Describe Big Data and its importance
Analyse the unstructured data and apply R programming concepts on it
Uncover key insights and create data-driven solutions for business challenges
Generate predictions based on the analysed data
Implement Machine Learning concepts and data visualization techniques on data
Work as a successful Data Analyst

Table Of Contents Outline

Introduction to Big data Analytics
Big data and Hadoop
Exploring Analytics
Exploring R – data analytics language
Performing Statistics concepts with R
Data analytics and Visualization
Big data in different Industries

Exam Details

Exam Codes	SCBAE S08-524A (Academy customers use the same codes)
Launch Date	Dec 01 2019
Number of Questions	60
Type of Questions	MULTIPLE CHOICE
Length of Test	90 Minutes
Passing Score	70%
Recommended Experience	Beginner Level
Languages	English