Course
Introduction to Power BI
- BasicSkill Level
- 4.9+
- 49.6K
Master the Power BI basics and learn to use the data visualization software to build impactful reports.
Data Visualization
Data, AI, and Cloud Courses
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31 Courses
Course
Introduction to DAX in Power BI
- BasicSkill Level
- 4.8+
- 11.2K
Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.
Data Manipulation
Course
Data Visualization in Power BI
- BasicSkill Level
- 4.8+
- 10K
Power BI is a powerful data visualization tool that can be used in reports and dashboards.
Data Visualization
Course
Data Preparation in Power BI
- BasicSkill Level
- 4.9+
- 6.1K
In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.
Data Preparation
Course
Data Modeling in Power BI
- BasicSkill Level
- 4.8+
- 6K
Learn the key concepts of data modeling on Power BI.
Data Manipulation
Course
Case Study: Analyzing Customer Churn in Power BI
- BasicSkill Level
- 4.8+
- 5.9K
You will investigate a dataset from a fictitious company called Databel in Power BI, and need to figure out why customers are churning.
Data Visualization
Course
Data Transformation in Power BI
- IntermediateSkill Level
- 4.8+
- 4.4K
You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.
Data Manipulation
Course
DAX Functions in Power BI
- BasicSkill Level
- 4.8+
- 4K
Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.
Data Manipulation
Course
Intermediate Data Modeling in Power BI
- IntermediateSkill Level
- 4.8+
- 3.6K
Master data modeling in Power BI.
Data Manipulation
Course
Intermediate DAX in Power BI
- IntermediateSkill Level
- 4.8+
- 3.3K
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
Data Manipulation
Course
Case Study: HR Analytics in Power BI
- BasicSkill Level
- 4.8+
- 3.2K
Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.
Data Manipulation
Course
Exploratory Data Analysis in Power BI
- BasicSkill Level
- 4.8+
- 3.1K
Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.
Exploratory Data Analysis
Course
Reports in Power BI
- IntermediateSkill Level
- 4.8+
- 3K
Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.
Data Visualization
Course
Trend Analysis in Power BI
- IntermediateSkill Level
- 4.8+
- 2.7K
Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.
Data Manipulation
Course
Data Connections in Power BI
- BasicSkill Level
- 4.8+
- 2.7K
Discover the different ways you can enhance your Power BI data importing skills.
Data Manipulation
Course
Report Design in Power BI
- IntermediateSkill Level
- 4.8+
- 2.6K
Continue your data visualization journey where youll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.
Data Visualization
Course
Deploying and Maintaining Assets in Power BI
- IntermediateSkill Level
- 4.8+
- 2.5K
Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.
Data Manipulation
Course
Financial Analysis in Power BI
- IntermediateSkill Level
- 4.9+
- 1.3K
Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.
Applied Finance
Course
User-Oriented Design in Power BI
- IntermediateSkill Level
- 4.7+
- 589
Learn how to design Power BI visualizations and reports with users in mind.
Data Visualization
Course
Case Study: Analyzing Job Market Data in Power BI
- BasicSkill Level
- 4.8+
- 525
Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!
Data Manipulation
Course
Power BI for End Users
- BasicSkill Level
- 4.8+
- 449
Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.
Reporting
Course
Case Study: Analyzing Healthcare Data in Power BI
- IntermediateSkill Level
- 4.9+
- 437
Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
Data Visualization
Course
Case Study: Supply Chain Analytics in Power BI
- BasicSkill Level
- 4.8+
- 421
Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.
Data Visualization
Course
Case Study: Mortgage Trading Analysis in Power BI
- IntermediateSkill Level
- 4.9+
- 355
In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.
Applied Finance
Course
Introduction to Financial Statements in Power BI
- IntermediateSkill Level
- 4.8+
- 348
Discover how to use the income statement and balance sheet in Power BI
Applied Finance
Course
Case Study: Ecommerce Analysis in Power BI
- IntermediateSkill Level
- 4.9+
- 312
In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.
Data Visualization
Course
Baseball Data Visualization in Power BI
- BasicSkill Level
- 4.9+
- 291
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.
Data Visualization
Course
Case Study: Inventory Analysis in Power BI
- IntermediateSkill Level
- 4.8+
- 291
This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.
Data Visualization
Course
Introduction to Python in Power BI
- IntermediateSkill Level
- 4.9+
- 281
Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.
Data Manipulation
Course
Time Series Analysis in Power BI
- IntermediateSkill Level
- 4.8+
- 271
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.
Data Visualization
FAQs
What is data science?
Data science is an area of expertise focused on gaining information from data. Using programming skills, scientific methods, algorithms, and more, data scientists analyze data to form actionable insights.
How can I learn data science?
You’ll need to learn a programming language such as Python or R and master the principles of math and statistics. Knowledge of data analysis methods and data science tools is also essential. There are many ways to learn data science. As well as formal means of education, such as a degree or university study, there are plenty of other resources to help you learn at your own pace. As well as online courses and tutorials, there are books, videos, and more.
What skills are required for data science?
As well as knowledge of mathematics and statistics, data scientists need programming skills in languages such as Python, R, and SQL. Additionally, data science requires the ability to work with large data sets, knowledge of data visualization, data wrangling, and database management. Skills in machine learning and deep learning can also be useful.
What can I use data science for?
In a professional capacity, almost every industry can use data science to some degree. Healthcare organizations use data science to detect and cure diseases, while finance companies use it to detect and prevent fraud. All kinds of industries use data science for marketing, such as building recommendation systems and analyzing customer churn.
Is data science a good career?
Yes, data science is among the fastest-growing sectors in the US and worldwide. It’s also one of the best-paid careers out there. According to data from Payscale, experience data scientists earn an average of $97,609 and have a satisfaction rating of four stars out of five in the US.
Is it difficult to become a data scientist?
There are a few things to consider here. First, data science degrees can be competitive to get onto, often requiring consistently high grades. Similarly, many of the skills required for data science require a lot of study and patience. It can take several months to master all of the necessary basics, as well as a lot of practical experience to secure an entry-level position.
Does data science require coding?
Yes, you’ll need some coding experience in languages such as Python, R, SQL, Java, and C/C++. However, due to its relatively simple syntax, Python programming language is often the preferred choice among newcomers.
How long does it take to become a data scientist?
For a person with no prior coding experience and/or mathematical background, it can typically take 7 to 12 months of intensive studies to be at the level of an entry-level data scientist. However, it is important to remember that learning only the theoretical basis of data science may not make you a real data scientist.
What topics can I study within data science?
Once you’ve mastered the foundations of data science, you can then specialize in a variety of areas, including machine learning, artificial intelligence, big data analysis, business analytics and intelligence, data mining, and more.
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