Break Into Big Data Management and get Big Data Training Online with

  • The Hadoop ecosystem in a unique lab environment with multiple datasets
  • Industry relevant case studies
  • Real-life business scenarios
  • Hands-on projects

Objective of the Course - Big Data Training Online

Developed by key industry experts and leveraging the renowned Wiley knowledge repository, the WCBDA Program modules will help you develop core competency expected in a Big Data analyst, skilled at effectively mining, manipulating, and analyzing Big Data, using basic and advanced analytical techniques.


Module Details

  • Module duration: Approx. 10 hours of learning and lab work
  • Project duration: 10–15 hours depending on participant's expertise

  • - Module 1: Introduction to Big Data
    - Module 2: Introduction to Analytics and R
    - Module 3: Data Analysis using R
    - Module 4: Big Data Analytics Methods
    - Module 5: Advanced Analytics using R
    - Module 6: Machine Learning Concepts
    - Module 7: Big Data Analytics - Technology and Tools
    - Module 8: Bonus Session: Spark and Scala Fundamentals


Resources

  • Course Study Resources
  • Lab Environment
  • Projects
  • Assessments
  • Videos

Key Features of the Course

  • Acquaintance with entire data analytics life cycle
  • Deep understanding of applications of Big Data in various industries
  • Basic and advanced data analytics and visualization techniques
  • Hands-on experience of working with R, Tableau Public, RHadoop and Hadoop ecosystem


Candidates Eligible for Attending the Course

  • Graduate students with Statistics or Math Background
  • Engineering students/MBA students
  • Business and data analysts, and database professionals willing to foray into Big Data analytics


Modules Can be Customized and Used for

  • Corporate training
  • Integrated with Engineering curriculum
  • Integrated with MBA curriculum


Pre-Requisites for Attending the Course

  • Basics of Statistics
    • Measures of central tendency and averages
    • Measures of dispersion
    • Fundamentals of probability
  • Basic understanding of graphs, histograms, and scatter plots
    • Basic knowledge of databases, tables and fields would be an added advantage
    • Fundamentals of spreadsheets and computations
  • Fundamentals of programming and SQL



Instructor-Led Training

Blended Learning

Online Self-Paced Learning

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