Top 5 Business Intelligence Courses to Take on DataCamp

DataCamp offers various business intelligence courses tailored to equip you with the skills necessary to thrive in any data-driven role. Whether you are a seasoned learner or just starting on DataCamp, these courses cover popular data analysis tools essential for analytics. Read on and start learning today!

Introduction to Power BI

• What is it: A 3-hour course providing a comprehensive overview of Power BI basics and how to build impactful reports.
• Taught by: Sara Billen, Data Scientist at DataCamp.
• What you will learn:
• Gain a 360° overview of Power BI basics.
• Learn to load and transform data using Power Query confidently.
• Understand the importance of data models and how to make reports interactive.
• Create visualizations, sort data types, and drill deeper into reports.
• Where to start: Start the Introduction to Power BI course here

Intermediate DAX in Power BI

• What is it: A course focusing on DAX functions and their applications, including logical functions, row-level security, table manipulation functions, and time intelligence functions.
• Taught by: Carl Rosseel, Head of the BI Curriculum at DataCamp.
• What you will learn:
• Expand core DAX knowledge with logical functions like IF and SWITCH.
• Use DAX for row-level security and table manipulation.
• Explore time intelligence functions for advanced visuals without writing DAX.
• Where to start: Start the Intermediate DAX in Power BI course here

Financial Analysis in Power BI

• What is it: A course focusing on basic and intermediate finance skills and how to apply them in Power BI dashboards.
• Taught by: Nick Edwards, Analyst for Mynd
• What you will learn:
• Learn how to perform financial analysis in Power BI or apply existing financial skills using Power BI data visualizations.
• Understand how to use the income statement and balance sheet in Power BI.
• Engage in a Power BI case study where you analyze mortgage trading, enhancing your data modeling and financial analysis skills.
• Where to start: Start the Financial Analysis in Power BI course here

Introduction to Tableau

• What is it: A course providing a comprehensive introduction to Tableau, a widely used BI and analytics software.
• Taught by: Maarten Van den Broeck, Maarten Van den Broeck
• What you will learn:
• Understand fundamental concepts and features of Tableau, including loading data, working with workbooks, and navigating the interface.
• Learn to create visualizations using an Airbnb dataset and build your first Tableau dashboard.
• Explore best practices for formatting and presenting data with Tableau, such as creating dual-axis graphs and understanding the differences between worksheets, dashboards, and stories.
• Gain the skills needed to explore Tableau and create impactful data dashboards confidently.
• Where to start: Start the Introduction to Tableau course here

Data Visualization in Tableau

• What is it: A course designed to help you create engaging and informative visualizations using Tableau.
• Taught by: Agata Bak-Geerinck, Senior Data Analyst at Telenet
• What you will learn:
• Learn the principles of data visualization and how to use Tableau to create informative, useful, and attractive charts.
• Discover best practices for making data visualizations, including creating basic and intermediate visualizations, analyzing change over time with line charts, and using stacked bar charts to get unstuck.
• Explore how to communicate insights visually, which increases understanding and retention of information.
• Progress from basic data visualization skills to advanced and custom-made charts, such as Waffle, DNA, and Sankey charts.
• Where to start: Start the Data Visualization in Tableau course here

Learn more!

For those looking to expand their data analytics and visualization skills further, DataCamp offers a range of Tableau and Power BI courses. Whether you're a beginner or looking to deepen your expertise, there's something for everyone. Explore more courses on DataCamp to continue your learning journey in data visualization and analytics.