Data science in R, phython , SAS and spark

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21
Jul

Course Description

Data Science is multidisciplinary; it often involves a combination of statistics, mathematics, programming and machine learning techniques to solve most analytically complex business problems.
It is a rapidly emerging field and there is a growing significant demand for data scientists across the globe

This program is designed for professionals who want to address real-world business problems which have been coupled with complex structured and unstructured data with a focus on the importance of asking more and more meaningful business questions while effectively communicating observations.

This course will include topics such as R, Python, SAS, Spark , and Hadoop ecosystem components such as Sqoop, Pig, Hive. This course is packed with real-life projects, case studies, and includes IBM Blue mix cloud for practice

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Learning Outcomes

  • Over 37 lectures and 55.5 hours of content!
  • LIVE PROJECT End to End Software Testing Training Included.
  • Learn Software Testing and Automation basics from a professional trainer from your own desk.
  • Information packed practical training starting from basics to advanced testing techniques.
  • Best suitable for beginners to advanced level users and who learn faster when demonstrated.
  • Course content designed by considering current software testing technology and the job market.
  • Practical assignments at the end of every session.
  • Practical learning experience with live project work and examples.

Course Curriculum

Total learning: 11 lessons Time: 10 week
Instructors

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