Introduction to Data Science for Big Data Analytics

Work with R and RHadoop to analyze structured, unstructured, and big data
  • Virtual Classroom

    Learning Style
  • Intermediate

  • 5 Days

    Course Duration
About Individual Course:
  • Individual course plan gives you access to this course
/ Seat
Work with R and RHadoop to analyze structured, unstructured, and big data

About this course:

Whether you are tracking the efficiency of a warehouse or predicting how and when to modify staffing levels in a call center, this training course equips you with the essential knowledge and skills required to reach the next level of decision-making maturity. You will learn to derive value from vast amounts of untapped data and apply data analytics techniques for smart, data-driven decision-making.

The average salary for Big Data Analyst is $65,470 per year.

Course Objective: 

After completing this course, students will be able to: 

  • Create competitive advantage from both structured and unstructured data
  • Predict outcomes with supervised machine learning techniques
  • Unearth patterns in customer behavior with unsupervised techniques
  • Work with R and RHadoop to analyze structured, unstructured, and big data


This course is intended for:

  • Managers, data and business analysts, database professionals and others involved in forecasting and trends management. Programming and a background in statistics is helpful, but not required.


  • Students should already be familiar with quantitative methods at an introductory level, up to linear regression analysis. Familiarity with computer programming or database structures is a benefit, but not formally required.

Suggested prerequisites courses:

More Information
Lab Access Yes
Technology Hadoop
Learning Style Virtual Classroom
Difficulty Intermediate
Course Duration 5 Days
Language English
VPA Eligible VPA Eligible
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