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31 Courses

Course

Introduction to Power BI

  • BasicSkill Level
  • 4.8+
  • 19,319 reviews

Master the Power BI basics and learn to use the data visualization software to build impactful reports.

Data Visualization

4 hours

Course

Introduction to DAX in Power BI

  • BasicSkill Level
  • 4.8+
  • 11,283 reviews

Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.

Data Manipulation

3 hours

Course

Data Visualization in Power BI

  • BasicSkill Level
  • 4.8+
  • 9,594 reviews

Power BI is a powerful data visualization tool that can be used in reports and dashboards.

Data Visualization

3 hours

Course

Data Preparation in Power BI

  • BasicSkill Level
  • 4.8+
  • 7,776 reviews

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

3 hours

Course

Data Modeling in Power BI

  • BasicSkill Level
  • 4.8+
  • 6,975 reviews

Learn the key concepts of data modeling on Power BI.

Data Manipulation

3 hours

Course

Case Study: Analyzing Customer Churn in Power BI

  • BasicSkill Level
  • 4.8+
  • 6,650 reviews

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

3 hours

Course

Data Transformation in Power BI

  • IntermediateSkill Level
  • 4.7+
  • 5,020 reviews

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

3 hours

Course

DAX Functions in Power BI

  • BasicSkill Level
  • 4.8+
  • 4,429 reviews

Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.

Data Manipulation

3 hours

Course

Intermediate DAX in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 3,874 reviews

Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.

Data Manipulation

3 hours

Course

Exploratory Data Analysis in Power BI

  • BasicSkill Level
  • 4.8+
  • 3,609 reviews

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

3 hours

Course

Case Study: HR Analytics in Power BI

  • BasicSkill Level
  • 4.8+
  • 3,697 reviews

Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.

Data Manipulation

3 hours

Course

Reports in Power BI

  • IntermediateSkill Level
  • 4.7+
  • 2,853 reviews

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

3 hours

Course

Trend Analysis in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 3,135 reviews

Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.

Data Manipulation

3 hours

Course

Data Connections in Power BI

  • BasicSkill Level
  • 4.8+
  • 3,355 reviews

Discover the different ways you can enhance your Power BI data importing skills.

Data Manipulation

2 hours

Course

Report Design in Power BI

  • IntermediateSkill Level
  • 4.7+
  • 2,807 reviews

Continue your data visualization journey where youll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.

Data Visualization

3 hours

Course

Deploying and Maintaining Assets in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 3,026 reviews

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

2 hours

Course

Financial Analysis in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 495 reviews

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

Applied Finance

6 hours

Course

User-Oriented Design in Power BI

  • IntermediateSkill Level
  • 4.7+
  • 413 reviews

Learn how to design Power BI visualizations and reports with users in mind.

Data Visualization

2 hours

Course

Power BI for End Users

  • BasicSkill Level
  • 4.7+
  • 306 reviews

Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.

Reporting

1 hour

Course

Case Study: Analyzing Job Market Data in Power BI

  • BasicSkill Level
  • 4.8+
  • 317 reviews

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

4 hours

Course

Case Study: Ecommerce Analysis in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 199 reviews

In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

Data Visualization

4 hours

Course

Baseball Data Visualization in Power BI

  • BasicSkill Level
  • 4.8+
  • 182 reviews

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

1 hour

Course

Case Study: Supply Chain Analytics in Power BI

  • BasicSkill Level
  • 4.8+
  • 176 reviews

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

4 hours

Course

Introduction to Python in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 142 reviews

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

Data Manipulation

3 hours

Course

Case Study: Mortgage Trading Analysis in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 271 reviews

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

3 hours

Course

Case Study: Inventory Analysis in Power BI

  • IntermediateSkill Level
  • 4.7+
  • 165 reviews

This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

Data Visualization

5 hours

Course

Time Series Analysis in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 254 reviews

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

5 hours

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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