Fundamentals

Grow your data skills, discover how to manipulate and visualize data, and apply advanced analytics to make data-driven decisions.

Python Data Fundamentals

Master the SQL fundamentals needed for business, learn how to write SQL queries, and start analyzing your data using this powerful language. 

SQL Fundamentals

Become a Google Sheets master. Learn the core skills you need to analyze data using Google Sheets.

Google Sheets Fundamentals

Learn the essentials of Tableau and develop the skills you need to pass the Tableau Desktop Specialist certification. No prior experience required!

Tableau Fundamentals

Gain the essential skills you need to use Power BI. Create your own visualizations and dashboards from scratch. No prior experience required.

Power BI Fundamentals

Roles

From exploratory data analysis with dplyr to data visualization with ggplot2—gain the career-building R skills you need to succeed as a data analyst!

Data Analyst  in R

Develop your data analytics skills in Python. Gain the data analyst skills to manipulate, analyze, and visualize data. No coding experience required!

Data Analyst  in Python

Co-created with Microsoft—gain the Power BI skills you need to prepare, model, and visualize data for the PL-300 Data Analyst certification.

Data Analyst in Power BI

Learn data science in Python, from data manipulation to machine learning. This track provides the skills needed to succeed as a data scientist!

Associate Data Scientist  in Python

Learn how to use R for data science, from data manipulation to machine learning. Gain the career-building skills you need to succeed in data science!

Associate Data Scientist in R

From testing code and implementing version control to web scraping and developing packages, take the next step in your Python developer journey!

Python Developer

Skills

Data is an exciting and growing field that plays a significant role in all our lives, even in artificial intelligence. Whether you're just starting or curious about how data shapes the world around you, this course is your gateway to understanding it all. From exploring the basics of data, including types, structures, and how valuable it can be in decision-making, to learning about the DIKW framework used to describe the relationship between data, information, knowledge, and wisdom, his course will guide you through the essential concepts that shape today's data-driven world. You'll wrap up the course with a discussion on data ethics and common data mistakes. You'll leave with a better understanding of how data works, why it matters, and how to navigate it responsibly—whether in your studies, work, or everyday life.

Gain an introduction to data in this hands-on course. Learn the basics of data types and structures, the DIKW framework, data ethics and more.

Introduction to Data

In this course, you will learn how to use SQL to support decision making. It is based on a case study about an online movie rental company with a database about customer information, movie ratings, background information on actors and more. You will learn to apply SQL queries to study for example customer preferences, customer engagement, and sales development. This course also covers SQL extensions for online analytical processing (OLAP), which makes it easier to obtain key insights from multidimensional aggregated data.

Learn how to analyze a SQL table and report insights to management.

Data-Driven Decision Making in SQL

A good database design is crucial for a high-performance application. Just like you wouldn't start building a house without the benefit of a blueprint, you need to think about how your data will be stored beforehand. Taking the time to design a database saves time and frustration later on, and a well-designed database ensures ease of access and retrieval of information. While choosing a design, a lot of considerations have to be accounted for. In this course, you'll learn how to process, store, and organize data in an efficient way. You'll see how to structure data through normalization and present your data with views. Finally, you'll learn how to manage your database and all of this will be done on a variety of datasets from book sales, car rentals, to music reviews.

Learn to design databases in SQL to process, store, and organize data in a more efficient way.

Database Design

Visualizing data using charts, graphs, and maps is one of the most impactful ways to communicate complex data. In this course, you’ll learn how to choose the best visualization for your dataset, and how to interpret common plot types like histograms, scatter plots, line plots and bar plots. You'll also learn about best practices for using colors and shapes in your plots, and how to avoid common pitfalls. Through hands-on exercises, you'll visually explore over 20 datasets including global life expectancies, Los Angeles home prices, ESPN's 100 most famous athletes, and the greatest hip-hop songs of all time.

The videos contain live transcripts, which can be accessed by clicking "Show transcript" at the bottom left of the videos.

The course glossary can be found on the right in the resources section.

To obtain CPE credits you need to complete the course and reach a score of 70% on the qualified assessment. You can navigate to the assessment by clicking on the CPE credits callout on the right.

An introduction to data visualization with no coding involved.

Understanding Data Visualization

Statistics are all around us, from marketing to sales to healthcare. The ability to collect, analyze, and draw conclusions from data is not only extremely valuable, but it is also becoming commonplace to expect roles that are not traditionally analytical to understand the fundamental concepts of statistics. This course will equip you with the necessary skills to feel confident in working with analyzing data to draw insights. You'll be introduced to common methods used for summarizing and describing data, learn how probability can be applied to commercial scenarios, and discover how experiments are conducted to understand relationships and patterns. You'll work with real-world datasets including crime data in London, England, and sales data from an online retail company!

Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

Introduction to Statistics

You’ve analyzed your data, run your model, and made your predictions.  Now, it's time to bring your data to life! Presenting findings to stakeholders so they can make data-driven decisions is an essential skill for all data scientists. In this course, you’ll learn how to use storytelling to connect with your audience and help them understand the content of your presentation—so they can make the right decisions. Through hands-on exercises, you’ll learn the advantages and disadvantages of oral and written formats. You’ll also improve how you translate technical results into compelling stories, using the correct data, visualizations, and in-person presentation techniques. Start learning and improve your data storytelling today.


No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights. 

Data Communication Concepts

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Outstanding Learning Material

Python Data Fundamentals

SQL Fundamentals

Google Sheets Fundamentals

Tableau Fundamentals

Power BI Fundamentals

Data Analyst in R

Data Analyst in Python

Data Analyst in Power BI

Associate Data Scientist in Python

Associate Data Scientist in R

Python Developer

Introduction to Data

Data-Driven Decision Making in SQL

Database Design

Understanding Data Visualization

Introduction to Statistics

Data Communication Concepts

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Python Data Fundamentals