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Microsoft

Data Visualization Fundamentals

via Coursera

4.7112 ratings at Coursera

Overview

Data Visualization Fundamentals is designed to introduce you to the powerful world of data visualization using Power BI. This course will guide you through the basics of creating visually appealing and meaningful reports, charts and graphs. You'll learn how to identify the right visualization for different types of data, and how to use Power BI's tools to build reports that tell compelling stories with data. Whether you're new to data visualization or looking to sharpen your skills, this course provides practical knowledge that you can apply immediately. By the end, you'll be equipped with foundational skills to help drive data-informed decisions.

Syllabus 4

  1. Data visualization with Power BI 6 hours

    In this module, you will build a foundation in data visualization with Power BI. You will set up Power BI and become familiar with its interface, identify the appropriate use of different visualization types, and create a basic Power BI report. Through these foundational skills, you will learn how…

  2. Data storytelling 3.5 hours

    In this module, you will explore how data storytelling helps communicate information effectively through Power BI reports. You will explain the process and impact of data storytelling, create a cohesive report in Power BI, and test your understanding of key data storytelling concepts. You will appl…

  3. Visualizing data 7 hours

    In this module, you will develop your ability to present data effectively using Power BI visualizations. You will recognize different types of visualizations available in Power BI, add appropriate visualizations to reports, and format them to improve how information is presented. These skills will…

  4. Final project and assessment: Microsoft Data Visualization 3.5 hours

    In this module, you will bring together the knowledge and skills developed throughout the course. You will synthesize your learning by completing a graded assessment that applies key concepts from data visualization, storytelling, and Power BI reporting. You will also reflect on the course content…

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • From Microsoft, a well-regarded name.
  • Rated 4.7 out of 5 by 112 learners.
  • Self-paced: start any time.
  • A clear syllabus (4 parts) you can see before you start.
  • Hands-on: you build or practise, not just watch.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Taught by

  • Microsoft

Microsoft is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).

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