Best Data Visualization Courses for Beginners

The ability to analyze data is a powerful skill that helps you make better decisions. Microsoft Excel is one of the top tools for data analysis and the built-in pivot tables are arguably the most popular analytic tool.

In this course, you will learn how to perform data analysis using Excel's most popular features. You will learn how to create pivot tables from a range with rows and columns in Excel. You will see the power of Excel pivots in action and their ability to summarize data in flexible ways, enabling quick exploration of data and producing valuable insights from the accumulated data.

Pivots are used in many different industries by millions of users who share the goal of reporting the performance of companies and organizations. In addition, Excel formulas can be used to aggregate data to create meaningful reports. To complement, pivot charts and slicers can be used together to visualize data and create easy to use dashboards.

What you'll learn

Create flexible data aggregations using pivot tables
Represent data visually using pivot charts
Calculate margins and other common ratios using calculation on the pivot table
Filter data using slicers in multiple pivot tables
Create aggregate reports using formula based techniques

Analytics for Decision Making

Discover the foundational concepts that support modern data science and learn to analyze various data types and quality to make smart business decisions.

About this course

Want to know how to avoid bad decisions with data?

Making good decisions with data can give you a distinct competitive advantage in business. This statistics and data analysis course will help you understand the fundamental concepts of sound statistical thinking that can be applied in surprisingly wide contexts, sometimes even before there is any data! Key concepts like understanding variation, perceiving a relative risk of alternative decisions, and pinpointing sources of variation will be highlighted.

These big-picture ideas have motivated the development of quantitative models, but in most traditional statistics courses, these concepts get lost behind a wall of little techniques and computations. In this course, we keep the focus on the ideas that really matter, and we illustrate them with lively, practical, accessible examples.

We will explore questions like: How are traditional statistical methods still relevant in modern analytics applications? How can we avoid common fallacies and misconceptions when approaching quantitative problems? How do we apply statistical methods in predictive applications? How do we gain a better understanding of customer engagement through analytics?

What you'll learn

Variability in the real world and implications for decision making
Data types and data quality with appropriate visualizations
Apply data analysis to managerial decisions, especially in start-ups
Making effective decisions from no data to big data (what should we collect and then what do we do with all this data?)

Data Analysis Essentials

Discover and acquire the quantitative data analysis skills that you will typically need to succeed on an MBA program. This course will cover the fundamentals of collecting, presenting, describing and making inferences from sets of data.

About this course

Want to study for an MBA but unsure of the basic data analysis still required? This online course prepares you for studying in an MBA program and in business generally.

Data analysis appears throughout any rigorous MBA program and in today's business environment understanding the fundamentals of collecting, presenting, describing and making inferences from data sets is essential for success.

The goal of this course is to teach you fundamental data analysis skills so you are prepared for your MBA study and able to focus your efforts on core MBA curriculum, rather than continually playing catch-up with the underlying statistical knowledge needed.

What you'll learn

Presenting and summarising your data
Decision making under uncertainty
Data-based decision making
Modeling for decision making

Introduction to Data Science

Get started on your Data Science journey.

About this course

This course is part of the Microsoft Professional Program Certificate in Data Science.

Learn what it takes to become a data scientist.

This is the first stop in the Data Science curriculum from Microsoft. It will help you get started with the program, plan your learning schedule, and connect with fellow students and teaching assistants. Along the way, you'll get an introduction to working with and exploring data using a variety of visualization, analytical, and statistical techniques.

edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance, enroll in the course, then follow this link to complete an application for assistance.

What you'll learn

How the Microsoft Data Science curriculum works
How to navigate the curriculum and plan your course schedule
Basic data exploration and visualization techniques in Microsoft Excel
Foundational statistics that can be used to analyze data

Data Visualization: A Practical Approach for Absolute Beginners

Practical Data Visualization techniques, tips, and tricks for the aspiring analyst and people who want to start from the beginning in any field needing this critical 21st-century skill.

About this course

This course is part of the Microsoft Professional Program in Data Analysis.

Data Visualization Literacy is fundamental for consuming any analysis in any industry or media �?? from the news to working in healthcare or not-for-profit budgets and more. As well, the ability to create data visualizations that are compelling, accurate, and tell a story, is becoming a core skill of any job in the 21st Century. This course provides a practical approach to learning the theories and techniques of data visualization for data analysis.

What you'll learn

Build the most-used and simplest data visualizations and chart types
Understand how interaction, design, and the science of visualization enhances basic data visualization artifacts
Create basic reports and dashboards for applications in work and life
Learn how to avoid common pitfalls, and make visualizations that work

Source: HOB

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