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Advanced Certificate Program in Data Visualization

Program Highlights:
Praxis Certification, Placement Support

Whats in the Box ?

This Advanced Program on Data Visualization – designed by veterans in the Analytics industry; helps to establish a decent career in the growing Data and Analytics domain. This uniquely blended Program is brought to you by Praxis, a Top-ranked Analytics B-School in India.

Sneak Peak

INR 29,800

Program Summary

  • 6 credits

    With this course, you are 5 credits short of an assured placement.

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  • Duration 6 months
  • 35 Hours of projects/Assignments
  • 33 Hours of online sessions

Course Topics

  • 1

    Data Visualization with Tableau

    • Need for visualizing data

      • Same dataset, different interpretation
      • Read texts well, not numbers
      • Brain processes visuals by short circuiting brain’s pathways
      • Quicker conclusions | Speed
    • Research methodologies

      • Problem Formulation
      • Literature review
      • Methodology
      • Analysis
      • Finding and Interpretation
      • Suggestion
      • Conclusion
      • Bibliography
    • Importance of Big data visualization

      • Traditional Visualization
      • Big Data Visualization
    • Tableau product offerings

    • Installation of Tableau Public

    • Working with Tableau - Live Case study/Discussion

    • Creating interactive dashboards with Tableau Public

    • Case study discussion

      • HR – Case Study with Data
    • Story Boarding with Tableau Public

    • Case study discussion

    • Geomapping in Tableau

      • Create a geographic hierarchy
      • Build a basic map
      • Change from points to polygons
      • Add visual detail
      • Add labels
      • Customize your background map
    • Qlik view – Basics

      • Download QlikView Personal Edition and Install
    • Google charts – Basics

      • Creating a simple Google Chart with in data
      • Image generation, Line, bar, and pie charts.
      • Scatter plot
      • Google-o-meter
      • Map,Radar,Venn diagram
      • Specification of attributes
    • Dynamic charts with Google Docs

      • Using Google Docs as database to store graphical data
      • Specifying the range of data and selecting columns
      • Creating an interactive Google Chart with Google Docs data
    • Supplementary material & Case study discussion

    • Closing session & Queries

  • 2

    Data Visualization with D3

Industry Collaboration

Program Mentors

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