Skills you will learn

  • Data visualization principles
  • Communicating datadriven findings
  • Using ggplot2 to create customized plots

Who should learn

  • Data professionals
  • Product managers
  • Designers
  • Agile and Scrum professionals
  • Program managers

What you will learn

  • Introduction to Data Visualization

    • Introduction

      01:35
      • Introduction
        01:35
    • Lesson 01: Data Visualization using Tableau part 1

      02:16:04
      • Data Visualization using Tableau part 1
        02:16:04
    • Lesson 02: Data Visualization using Tableau part 2

      55:26
      • Data Visualization using Tableau part 2
        55:26
    • Lesson 03: Tableau Dashboard

      01:20:05
      • Tableau Dashboard
        01:20:05
    • Lesson 04: What is Power BI?

      16:48
      • What is Power BI
        16:48
    • Lesson 05: Power BI Dashboard

      56:41
      • Power BI Dashboard
        56:41
    • Lesson 06: Excel Dashboard

      01:10:18
      • Excel Dashboard
        01:10:18
    • Lesson 07: GGPlot2 Tutorial

      28:32
      • GGPlot2 Tutorial
        28:32
    • Lesson 08: Matplotlib Tutorial

      01:01:30
      • Matplotlib Tutorial
        01:01:30

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Why you should learn

$5.17 billion by 2026

The projected growth of the global data visualization market 

$76,638 per year

The average salary for a data visualization professional

FAQs

  • What are the prerequisites to learn the Data Visualization free course?

    There are no prerequisites to learn the Data Visualization free course.

  • How do beginners get started with this free Data Visualization course?

    Beginners who want to learn from the free Data Visualization course can start with the fundamentals first. Once you have mastered the basics you can move on to more advanced topics.

  • How long does it take to learn the Data Visualization free course?

    The Data Visualization free course consists of 9 hours of video content that will help you gain a thorough understanding of the platform.

  • Is the Data Visualization for beginners course easy to learn?

    The videos that you find as a part of this Data Visualization for beginners course are created by mentors who are industry leaders with vast experience in the field. They are aware of the needs of different learners and have designed the course to be easy to learn.

  • What are the Data Visualization basics covered in this free course?

    The Data Visualization basics covered in the course include: 

    • Data visualization principles
    • Communicating data-driven findings
    • Using ggplot2 to create customized plots

  • Can I complete this free Data Visualization certification course in 90 days?

    Yes, you can complete the free Data Visualization certification course within 90 days.

  • Will I get a certificate after completing the Data Visualization free course for beginners?

    Yes, you will receive a course completion certificate after completing the Data Visualization course for beginners.

  • What are my next best learning options after completing the free Data Visualization course?

    One can take the Post Graduate Program in Data Analytics after completing this beginners course in Data Visualization.

  • What career opportunities are available after you finish this free Data Visualization course? 

    The career opportunities available include:

    • Data Analytics manager/lead
    • Business Analyst/Senior business analyst
    • Business Intelligence analyst
    • Business Intelligence engineer

  • What are the top skills required for a career in Data Visualization?

    The top skills required for a career in Data Visualization are:

    • Well-versed in SQL, Excel and basic programming languages like Python/R etc
    • Moderate/Expert level knowledge in creating presentations
    • Data analysis and handling skills
    • Ability to think critically
    • Good communication and interpersonal skills
       

  • What is Data Visualization used for?

    Data Visualization is used to tell stories by compiling and curating data into an easy-to-understand format so that information can be communicated effectively and efficiently to stakeholders.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.