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.
711 Courses

Course

Working with Llama 3

  • IntermediateSkill Level
  • 4.8+
  • 2,016 reviews

Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.

Artificial Intelligence

2 hours

Course

Data Preparation in Alteryx

  • BasicSkill Level
  • 4.8+
  • 1,021 reviews

Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.

Data Preparation

3 hours

Course

Building AI Agents with Google ADK

  • IntermediateSkill Level
  • 4.8+
  • 465 reviews

Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).

Artificial Intelligence

1 hour

Course

Multi-Agent Systems with LangGraph

  • AdvancedSkill Level
  • 4.8+
  • 445 reviews

Build powerful multi-agent systems by applying emerging agentic design patterns in the LangGraph framework.

Artificial Intelligence

2 hours 45 min

Course

Intermediate Regression in R

  • IntermediateSkill Level
  • 4.7+
  • 749 reviews

Learn to perform linear and logistic regression with multiple explanatory variables.

Probability & Statistics

4 hours

Course

Data Analysis in Google Sheets

  • BasicSkill Level
  • 4.8+
  • 1,167 reviews

Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

Data Manipulation

3 hours

Course

Transformer Models with PyTorch

  • AdvancedSkill Level
  • 4.8+
  • 799 reviews

What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.

Artificial Intelligence

2 hours

Course

Financial Analysis in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 482 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

Databricks Concepts

  • BasicSkill Level
  • 4.7+
  • 826 reviews

Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.

Data Engineering

4 hours

Course

Advanced Git

  • AdvancedSkill Level
  • 4.7+
  • 946 reviews

Master Git’s advanced features to streamline data science and engineering workflows, from complex merging to large-scale project optimization.

Software Development

3 hours

Course

Introduction to Data Engineering

  • IntermediateSkill Level
  • 4.7+
  • 776 reviews

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

Data Engineering

4 hours

Course

Intermediate Power Query in Excel

  • IntermediateSkill Level
  • 4.7+
  • 1,015 reviews

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

Data Preparation

4 hours

Course

Introduction to Microsoft Fabric

  • BasicSkill Level
  • 4.7+
  • 894 reviews

To understand Fabric’s main use cases, you will explore various tools in the seven Fabric experiences.

Other

4 hours

Course

Introduction to SQL Querying with AI

  • BasicSkill Level
  • 4.8+
  • 504 reviews

Learn SQL Querying with AI by writing prompts, generating queries, and analyzing data to solve real-world problems.

Data Manipulation

3 hours

Course

Streamlined Data Ingestion with pandas

  • IntermediateSkill Level
  • 4.8+
  • 1,705 reviews

Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

Data Preparation

4 hours

Course

Understanding Excel

  • BasicSkill Level
  • 4.8+
  • 1,173 reviews

Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!

Data Manipulation

1 hour

Course

Introduction to Object-Oriented Programming in Java

  • IntermediateSkill Level
  • 4.8+
  • 978 reviews

Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.

Software Development

4 hours

Course

Linear Classifiers in Python

  • IntermediateSkill Level
  • 4.8+
  • 323 reviews

In this course you will learn the details of linear classifiers like logistic regression and SVM.

Machine Learning

4 hours

Course

Intermediate Java

  • BasicSkill Level
  • 4.8+
  • 975 reviews

Learn to write cleaner, smarter Java code with methods, control flow, and loops.

Software Development

4 hours

Course

Intermediate Python for Finance

  • IntermediateSkill Level
  • 4.7+
  • 918 reviews

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

Applied Finance

4 hours

Course

AI Security and Risk Management

  • BasicSkill Level
  • 4.8+
  • 988 reviews

Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.

Artificial Intelligence

2 hours

Course

Data Storytelling Case Study: College Majors

  • BasicSkill Level
  • 4.8+
  • 799 reviews

Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!

Data Literacy

1 hour

Course

Understanding the EU AI Act

  • BasicSkill Level
  • 4.7+
  • 1,063 reviews

Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.

Artificial Intelligence

1 hour

Course

Analyzing Business Data in SQL

  • IntermediateSkill Level
  • 4.8+
  • 236 reviews

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

Reporting

4 hours

Course

Introduction to Testing in Python

  • AdvancedSkill Level
  • 4.7+
  • 1,218 reviews

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

Software Development

4 hours

Course

Joining Data with dplyr

  • BasicSkill Level
  • 4.7+
  • 1,183 reviews

Learn to combine data across multiple tables to answer more complex questions with dplyr.

Data Manipulation

4 hours

Course

Software Development with Cursor

  • IntermediateSkill Level
  • 4.8+
  • 293 reviews

Build production-ready code with Cursor. Learn AI prompts, refactoring, testing, and advanced workflows.

Artificial Intelligence

1 hour 30 min

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.