Data Analytics & Visualization All-in-One For Dummies

Essential Skills for Data Analytics, Visualization, Power BI, and More

WSPM+2

Created by Luca Massaron, Wiley and Sons, Paul McFedries and 2 more

Explore the world of data analytics and visualization with approachable guidance on using tools like Power BI, Tableau, SQL, Python, and R. Learn how to analyze, transform, and present data to uncover insights that drive better decisions in business and beyond.

Wiley | May 2026 | 832 min

Start Trial

LevelBeginner

CategoriesData Science, Data Analysis Workflows and Tools, Power BI

1Exploring Definitions and Roles
2Delving into Big Data
3Understanding Data Lakes
4Wrapping Your Head Around Data Science
5Telling Powerful Stories with Data Visualization
6Power BI Foundations
7The Quick Tour of Power BI
8Prepping Data for Visualization
9Tweaking Data for Primetime
10Designing and Deploying Data Models
11Tackling Visualization Basics in Power BI
12Digging into Complex Visualization and Table Data
13Sharing and Collaborating with Power BI
14Tableau Foundations
15Connecting Your Data
16Diving into the Tableau Prep Lifecycle
17Advanced Data Prep Approaches in Tableau
18Touring Tableau Desktop
19Storytelling Foundations in Tableau
20Visualizing Data in Tableau
21Collaborating and Publishing with Tableau Cloud
22SQL Foundations
23Drilling Down to the SQL Nitty-Gritty
24Values, Variables, Functions, and Expressions
25SELECT Statements and Modifying Clauses
26Tuning Queries
27Complex Query Design
28Joining Data Together in SQL
29Using Open Source R for Data Science
30R: What It Does and How It Does It
31Getting Graphical
32Kicking It Up a Notch to ggplot2
33Discovering the Match Between Data Science and Python
34Using Python for Data Science and Visualization
35Getting a Crash Course in Matplotlib
36Visualizing the Data

What You Will Learn

You will start by building a solid foundation in data analytics and visualization concepts. Step by step, you will work with popular tools to extract, process, and visualize data. Practical examples and clear explanations help you apply what you learn to real-world scenarios, making complex topics easy to understand and use.

Key Features

Gain hands-on experience with Power BI, Tableau, SQL, Python, and R
Learn to transform raw data into clear, actionable visualizations
Develop skills to analyze and communicate data-driven insights effectively

Target Audience

If you are new to data analytics or looking to expand your skills, this is designed for you. It suits beginners and professionals who want practical experience with industry-standard tools. No prior programming or analytics background is needed-just a desire to turn data into valuable insights for business or personal projects.

Related courses