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Data Analytics and Visualization with Python and IBM Cosmos BI Course Overview

Data Analytics and Visualization with Python and IBM Cosmos BI Course Overview

Unlock the power of Data Analytics and Visualization with Python and IBM Cognos BI through our comprehensive 5-day course. Designed to empower you with essential skills, this course covers everything from Python basics and data manipulation to creating dynamic dashboards and reports with IBM Cognos BI. You'll learn to use pandas, NumPy, Matplotlib, and Seaborn for rich data analysis and visualization. Gain practical experience through hands-on labs, set up trial Cognos accounts, and explore fundamental aspects of data governance and security. By the end, you'll confidently integrate these tools to develop robust BI solutions.

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Course Prerequisites

Minimum Required Prerequisites for Data Analytics and Visualization with Python and IBM Cognos BI Course:


  • Basic understanding of programming concepts.
  • Familiarity with Python syntax and basic data structures such as lists and dictionaries.
  • Basic knowledge of data analysis techniques and terminologies.
  • Experience with using spreadsheets or any analytical tools for data manipulation.
  • Understanding of basic statistical concepts will be beneficial but is not mandatory.

These prerequisites will ensure that you can successfully grasp the course content and participate in all practical lab exercises efficiently.


Target Audience for Data Analytics and Visualization with Python and IBM Cosmos BI

Data Analytics and Visualization with Python and IBM Cognos BI is a comprehensive 5-day course designed for professionals looking to master data analysis, visualization, and BI reporting skills using Python and IBM Cognos.


  • Data Analysts
  • Business Intelligence Analysts
  • Data Scientists
  • BI Developers
  • Reporting Analysts
  • IT Managers
  • Business Analysts
  • Data Engineers
  • Data Managers
  • Statisticians
  • Financial Analysts
  • Market Researchers
  • Information Systems Managers
  • Database Administrators
  • Analytics Professionals
  • Aspiring Data Professionals
  • Software Engineers
  • Technical Consultants


Learning Objectives - What you will Learn in this Data Analytics and Visualization with Python and IBM Cosmos BI?

Introduction: In the Data Analytics and Visualization with Python and IBM Cognos BI course, students will gain proficiency in Python for data manipulation, utilize key libraries for visualization, and master IBM Cognos for creating interactive dashboards and comprehensive BI solutions.

Learning Objectives and Outcomes:

  • Understand Python Basics:

    • Master Python fundamentals, including variables, data types, and control flow.

  • Data Structures in Python:

    • Gain proficiency in using lists, dictionaries, and sets for data organization and manipulation.

  • Data Analysis with Python:

    • Utilize pandas and NumPy for efficient data cleaning and manipulation.

  • Data Visualization in Python:

    • Create basic visualizations using Matplotlib and Seaborn.

  • Introduction to IBM Cognos Analytics:

    • Set up Cognos Analytics and understand its interface and key components.

  • Building Reports in Cognos:

    • Create and customize simple reports using list and crosstab reports with limited data sources.

  • Interactive Dashboards in Cognos:

    • Build and customize interactive dashboards using available widgets in Cognos.

  • Data Exploration and Analysis in Cognos:

    • Perform data exploration using data modules and visualization tools.

  • **Advanced Report

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