Skip to main content

Data, AI, and Cloud Courses

Master skills that matter

Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.

  • Learn at your own pace
  • Get hands-on experience
  • Complete bite-sized chapters

Create Your Free Account

Continue with GoogleShow more options

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
298 Courses

Course

Data Visualization in Excel

  • BasicSkill Level
  • 4.8+
  • 4,401 reviews

Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.

Data Visualization

3 hours

Course

Introduction to Functions in Python

  • BasicSkill Level
  • 4.8+
  • 1,321 reviews

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

Software Development

3 hours

Course

Introduction to Power Query in Excel

  • BasicSkill Level
  • 4.8+
  • 2,425 reviews

Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.

Data Preparation

3 hours

Course

Intermediate ChatGPT

  • BasicSkill Level
  • 4.8+
  • 4,205 reviews

Learn the architecture behind GPT models and master advanced prompt crafting to unlock ChatGPTs full potential.

Artificial Intelligence

1 hour

Course

Intermediate R

  • BasicSkill Level
  • 4.8+
  • 997 reviews

Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

Software Development

6 hours

Course

Introduction to Workflow Automation with n8n

  • BasicSkill Level
  • 4.7+
  • 730 reviews

Get started with n8n and learn to build automated workflows using triggers, logic, APIs, and AI—no coding required!

Artificial Intelligence

3 hours

Course

Implementing AI Solutions in Business

  • BasicSkill Level
  • 4.7+
  • 5,251 reviews

Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.

Artificial Intelligence

2 hours

Course

Introduction to Data Culture

  • BasicSkill Level
  • 4.7+
  • 6,424 reviews

Learn the key components of building a strong data culture within an organization.

Data Literacy

1 hour

Course

Introduction to ChatGPT

  • BasicSkill Level
  • 4.8+
  • 5,554 reviews

Unlock the power of ChatGPT with better prompts, accurate responses, and safe AI use. Improve efficiency and get the most from AI conversations!

Artificial Intelligence

1 hour

Course

Software Engineering Principles in Python

  • BasicSkill Level
  • 4.7+
  • 747 reviews

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

Software Development

4 hours

Course

Forming Analytical Questions

  • BasicSkill Level
  • 4.8+
  • 3,943 reviews

Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.

Data Literacy

1 hour

Course

Data Communication Concepts

  • BasicSkill Level
  • 4.7+
  • 5,658 reviews

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 Literacy

3 hours

Course

LLMOps Concepts

  • BasicSkill Level
  • 4.8+
  • 2,997 reviews

Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.

Artificial Intelligence

1 hour

Course

Introduction to Shell

  • BasicSkill Level
  • 4.8+
  • 3,715 reviews

The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

Software Development

4 hours

Course

Introduction to Alteryx

  • BasicSkill Level
  • 4.8+
  • 2,484 reviews

Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.

Data Preparation

2 hours

Course

Snowflake Architecture

  • BasicSkill Level
  • 4.8+
  • 295 reviews

Master Snowflakes three-layer architecture and build the mental model you need to work effectively in Snowflake.

Data Management

3 hours

Course

DAX Functions in Power BI

  • BasicSkill Level
  • 4.8+
  • 4,743 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

Understanding Microsoft Azure

  • BasicSkill Level
  • 4.8+
  • 2,535 reviews

Learn about the power of Microsoft Azure and cloud computing software to help you improve your data engineering skills.

Cloud

3 hours

Course

Introduction to the Tidyverse

  • BasicSkill Level
  • 4.8+
  • 1,163 reviews

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

Software Development

4 hours

Course

Introduction to Data Privacy

  • BasicSkill Level
  • 4.8+
  • 2,151 reviews

Gain a clear understanding of data privacy principles and how to implement privacy and security processes.

Data Literacy

2 hours

Course

Introduction to Python for Finance

  • BasicSkill Level
  • 4.8+
  • 480 reviews

Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.

Applied Finance

4 hours

Course

Vibe Coding with Replit

  • BasicSkill Level
  • 4.8+
  • 872 reviews

Learn vibe coding with Replit. Build apps like a Typeform clone, and master securing and deploying Replit apps.

Artificial Intelligence

2 hours

Course

Large Language Models for Business

  • BasicSkill Level
  • 4.8+
  • 2,394 reviews

Learn about Large Language Models (LLMs) and how they are reshaping the business world.

Artificial Intelligence

1 hour

Course

Case Study: Analyzing Customer Churn in Excel

  • BasicSkill Level
  • 4.8+
  • 2,994 reviews

You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.

Reporting

1 hour

Course

Introduction to Data Science in Python

  • BasicSkill Level
  • 4.8+
  • 504 reviews

Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.

Software Development

4 hours

Course

AI for Finance

  • BasicSkill Level
  • 4.8+
  • 398 reviews

Apply AI in finance to analyze data, prompt effectively, and automate workflows for better decisions.

Artificial Intelligence

3 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.

Grow your data skills with DataCamp for Mobile

Make progress on the go with our mobile courses and daily 5-minute coding challenges.

Download on the App StoreGet it on Google Play