The Wiley Certified Data Analyst Courseware & Certification focuses on getting Learners thoroughly conversant with basic and advanced analytic techniques for mining, manipulating, and analyzing Big Data, familiarises you with key Big Data platforms, and provides foundations to business and industry requirements to be able to participate productively in Big Data analytics projects.

Validates candidate's knowledge of Big Data Analytics - establishing a baseline of skills that can continue with future levels, demonstrating more advanced and specialised skillsets.

Course has the goal of leading towards certification, which supports hiring practices by providing companies with an official evaluation and reference to the skillsets of Big Data Analyst and graduates.

Includes 40 hours of E-learning modules, 33 hours of classroom tutorials and more than 20 hours of Virtual Lab Exercises.

Learning Outcome

At the end of this course, learners will understand:
  • Discuss and explain the overview of Big Data, the technologies and infrastructure required to handle, store and manage Big Data and Broad base business application of Big Data
  • Describe the various analytical approaches and tools using R
  • Basic and Advanced Analytical Techniques using R
  • Data preparation, social media analytics, mobile analytics, and Big Data visualization techniques.
  • Machine learning and its application
  • Advanced machine learning concepts such as cluster analysis, artificial neural networks, Support Vector Machines and Time series
  • Analyze Hadoop’s data storage model with HDFS and HBase
  • Develop MapReduce 2 programs
  • Perform & Implement Advanced Query features and operations with data in Hive
  • Use Pig to automate the design and implementation of MapReduce applications

Who should Attend?

  • Data Analysts
  • Fresh Graduates
  • HR Practioners
  • Sales and Marketing Personnels
  • Management Staff
  • Operations and logistic Managers and Executives

Eligibility Criteria

  • Basic Mathematical Knowledge
  • English Literacy
  • Computer Literacy
This course is endorsed under Critical Infocomm Technology Resource Programme Plus (CITREP+) Programme.
To find out more about CITREP+ Funding, please refer to Programme Support under CITREP+ page

Information as accurate as of 9 July 2019