The role of a data scientist is to turn raw data into actionable insights. Much of the world's raw data—from electronic medical records to customer transaction histories—lives in organized collections of tables called relational databases. To be an effective data scientist, you must know how to wrangle and extract data from these databases using a language called SQL . This course teaches syntax in SQL shared by many types of databases, such as PostgreSQL, MySQL, SQL Server, and Oracle. This course teaches you everything you need to know to begin working with databases today!

Master the basics of querying tables in relational databases such as MySQL, SQL Server, and PostgreSQL.

Learn the basics of syntax in SQL, how to extract and wrangle data, and use querying tables in relational databases like MySQL, SQL Server, and PostgreSQL.

Introduction to SQL

Power BI has extraordinary visuals that can be used in reports and dashboards.
In this Power BI course, you’ll learn to create insightful visualizations through built-in and customized charts and conditional formatting. You’ll discover how to create a plethora of visualizations such as scatter plots, tornado charts, gauges, and how to visualize everything without overwhelming your audience.

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

Learn how to use Power BI to create insightful dashboards and reports, as well as data visualization best practices.

Data Visualization in Power BI

DAX, or Data Analysis eXpressions, is a formula language used in Microsoft Power BI to create calculated columns, measures, and custom tables. Once mastered, DAX gives you powerful control over visuals and reports, allowing for better performance and more flexibility. In this course, you'll get to grips with a wide range of DAX calculations and learn best practices for how to use them in your projects.

This course will be split into two smaller courses of 3 hours on Tue 26 April in light of a brand-new Power BI track. Course completion will be transferred to these two new courses, so please complete the course in due time. Alternatively, you can wait a few days until the new courses are live!

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

Discover a wide range of DAX calculations and learn how to use them in in Microsoft Power BI to create calculated columns, measures, and custom tables.

DAX in Power BI

DAX, or Data Analysis eXpressions, is a formula language used in Microsoft Power BI to create calculated columns, measures, and custom tables. Once mastered, DAX gives you powerful control over visuals and reports, allowing for better performance and more flexibility. This course covers the core concepts such as row query and filter context, with exercises focusing on filtering, counting, ranking, and iterating functions.

DAX Functions in Power BI

Proper data modeling is the foundation of data analysis and creating reports in Power BI. This course lets you explore a toolbox of data cleaning, shaping, and loading techniques, which you can apply to your data. You'll get to know how to choose between Power Query and Power BI, and discover the foundations of data modeling by going into star and snowflake schemas. You'll apply all of this to real-world datasets issued by the United States Census Bureau.

Learn the key concepts of data modeling on Power BI.


Learn how to set up and load data into Power BI and Power Query to be able to perform dimensional modeling, Kimball modeling, and advanced data modeling.

Data Modeling in Power BI

In this course, you’ll extend your knowledge about facts, dimensions, and their relationships. You learn about the cardinality of relationships and how you can use bi-directional cross-filtering in your model.
You’ll also explore the use of quick measures and hierarchies and write DAX to fully customize your data model. Finally, you’ll get introduced to Power BI reporting best practices to improve the performance of your reports.

Intermediate Data Modeling in Power BI

This course introduces you to new DAX functions and its many use cases. First of all, you expand your core DAX knowledge by learning how to write logical functions. Secondly, you’ll discover how you can write DAX functions for row-level security (RLS) purposes and how to use DAX to manipulate tables and create nested functions. Those time-intelligence quick measures will be building themselves before you know it!

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

Intermediate DAX in Power BI

In this course you learn how to design with users in mind. You’ll also learn to use R and Python to create unique visualizations, adding custom chart types that would otherwise not be available in Power BI. You’ll get introduced to some best practices in data visualization and optimize your visualizations to be more accessible to visually impaired individuals. This course also teaches you how to create paginated reports, a prerequisite for the official PL-300 exam!

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

User-oriented Design in Power BI

User-Oriented Design in Power BI

Python is a general-purpose programming language that is becoming ever more popular for data science. Companies worldwide are using Python to harvest insights from their data and gain a competitive edge. Unlike other Python tutorials, this course focuses on Python specifically for data science. In our Introduction to Python course, you’ll learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses. Start DataCamp’s online Python curriculum now.

Master the basics of data analysis in Python. Expand your skillset by learning scientific computing with NumPy.

Discover how to use Python for data science, learning about the ways to store and manipulate data in the environment to begin conducting your own analyses.

Introduction to Python

Now that you've learned the basics of SQL in our <a href="https://learn.datacamp.com/courses/introduction-to-sql">Introduction to SQL</a> course,  it's time to supercharge your queries using joins and relational set theory. In this course, you'll learn all about the power of joining tables while exploring interesting features of countries and their cities throughout the world. You will master inner and outer joins, as well as self joins, semi joins, anti joins and cross joins—fundamental tools in any PostgreSQL wizard's toolbox. Never fear set theory again after learning all about unions, intersections, and except clauses through easy-to-understand diagrams and examples. Lastly, you'll be introduced to the challenging topic of subqueries. You will be able to visually grasp these ideas by using Venn diagrams and other linking illustrations.

Join two or three tables together into one, combine tables using set theory, and work with subqueries in PostgreSQL.

Discover all the fundamental in PostgreSQL, like inner, outer self, semi, anti, and cross joins, as well as unions, intersections, and except clauses.

Joining Data in SQL

Working with large quantities of data in spreadsheets can be difficult and time-consuming. Have you ever wished there was a quick and efficient way to organize and evaluate your data within seconds? Pivot Tables are your answer! In this course we will explore the world of Pivot Tables within Google Sheets, and learn how to quickly organize thousands of datapoints with just a few clicks of the mouse. We will analyze the Average rainfall across multiple US cities, the Top 10 of the Fortune Global 500, and a selection of Films released between 2010 and 2016. You will learn techniques such as sorting, subtotaling, and filtering your data using these real world examples. By the end of the course, you will be able to create your own custom pivot tables with datasets of any size!

Explore the world of Pivot Tables within Google Sheets, and learn how to quickly organize thousands of data points with just a few clicks of the mouse.

Pivot Tables in Spreadsheets

This course will dig deeper into some of the core functionality of Google Sheets. There's a whole bunch of predefined functions we'll cover, like `SUM()` and `AVERAGE()`, and `VLOOKUP()`. We'll apply these techniques to do some analysis on your grades in school, look at performance statistics within a company, track monthly sales, and look at some real geographical information about the countries of the world.

Learn how to analyze data with spreadsheets using functions such as SUM(), AVERAGE(), and VLOOKUP().

Data Analysis in Spreadsheets

Gain a 360° overview of exploring and using Power BI to build impactful reports. In this course, you’ll go from zero to hero as you discover how to use this popular business intelligence platform through hands-on exercises. Before diving into creating visualizations using Power BI's drag-and-drop functionality, you’ll first learn how to confidently load and transform data using Power Query and the importance of data models. You’ll also learn to drill down into reports and make your reports fully interactive. You've got the power!

Gain a 360° overview of how to explore and use Power BI to build impactful reports.

Learn how to use the Power BI platform to load and transform data, create visualzations, run DAX formulas, and create reports through hands-on exercises.

Introduction to Power BI

In this Power BI case study, you’ll explore a real-world job posting dataset to uncover insights for a fictional recruitment company called DataSearch. Using what you’ve learned from previous courses, you’ll use Power Query to investigate and clean the data to find out what skills are most in-demand for data scientists, data analysts, and data engineers. You’ll then use DAX to build insightful visualizations of your findings. Finally, you’ll bring it all together using everything Power BI has to offer to create a business dashboard so that you can answer questions for the DataSearch team.

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!

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