Data Scientist2017-02-19T16:33:43+00:00

Data Scientist

Data Scientist or Data Analytics is the most buzzing work in the current IT world. These are some highly paid skills. To become a Data Scientist you need to have knowledge of Data Analytical skills like R Language, SAS, SPSS or Hadoop. Also knowledge of visualization tools like Tableau, Qlikview makes your profile very strong.

Data Scientist Course Duration: 105 - 110 hours

R Programming

  • Demo, overview of Data Analytics/Data Scientist/R Language/Advanced Excel

  • Basic Operations in R – Expressions, Constant Values, Arithmetic, Function Calls, Symbols

  • Sub-setting in R Language, Data Structures in R

  • Data Import and Data Export in R

  • Control Structure and User Defined Functions

  • Charting R language

  • Analytics and Statistical Analytics using R

  • Analytics and Data Mining using R

  • Association Rule Mining Using R

  • Text Mining using R

  • Case Study – Real time project with Twitter Data Analytics


  • Demo, overview of Big Data and Hadoop

  • Hadoop concepts and deep dive into Hadoop Distributed File System, HDFS, Map Reduce

  • Real Time scenarios and sub-projects in the Hadoop ecosystem – Hive, Pig, Oozie, HBase

  • Real Time scenarios and sub-projects in the Hadoop ecosystem – SQOOP and Flume


  • Introduction to Spark, Various aspectsof Spark

  • Spark SQL,Spark ML


  • Data Warehousing Concepts

  • Tableau brief overview and Installation, Filtering, Sorting & Grouping, Bins, Sets

  • Working with Data, Dimension and Measures, Working with calculated Data and Statistics, Working with Parameters

  • Building Advanced Chart Types and Visualisations / Tips, Best Practices in Formatting and Visualizing

  • Working on Dashboards, Working with Tableau Server, Real time case studies

  • Make Basic Excel and SQL as bold, like Tableau, Hadoop in data scientist syllabus. It’s a separate topic
  • Fresher’s those wish to start a great career in Data Scientist

  • Experienced professionals not satisfied with current job profile

  • Business Analyst for the Technical touch

  • Manager’s for handling the team
  • Work on Live projects

  • 20% theory and 80% practicals

  • Free WI-Fi

  • Syllabus recommended by Data Scientist

  • Live Industry Oriented Scenarios

  • Learn from industry experts.

Please Contact for schedule.
Mob: +91 9765152405
Email: info@digidatalogic.com