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.
394 Courses

Course

Data Types and Exceptions in Java

  • IntermediateSkill Level
  • 4.7+
  • 737 reviews

Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!

Software Development

4 hours

Course

Explainable AI in Python

  • IntermediateSkill Level
  • 4.8+
  • 1,216 reviews

Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

Artificial Intelligence

4 hours

Course

Reshaping Data with pandas

  • IntermediateSkill Level
  • 4.7+
  • 885 reviews

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

Data Manipulation

4 hours

Course

Time Series Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 150 reviews

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Probability & Statistics

4 hours

Course

Introduction to Deep Learning in Python

  • IntermediateSkill Level
  • 4.8+
  • 233 reviews

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.

Artificial Intelligence

4 hours

Course

Reshaping Data with tidyr

  • IntermediateSkill Level
  • 4.8+
  • 508 reviews

Transform almost any dataset into a tidy format to make analysis easier.

Data Manipulation

4 hours

Course

Financial Trading in Python

  • IntermediateSkill Level
  • 4.8+
  • 311 reviews

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

Applied Finance

4 hours

Course

Building AI Agents with Google ADK

  • IntermediateSkill Level
  • 4.8+
  • 594 reviews

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

Artificial Intelligence

1 hour

Course

Introduction to BigQuery

  • IntermediateSkill Level
  • 4.8+
  • 475 reviews

Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

Data Engineering

4 hours

Course

Building a Marketing Dashboard with Claude Cowork

  • IntermediateSkill Level
  • 4.7+
  • 73 reviews

Want to spend more time on analysis and less time formatting charts? Build an on-brand interactive marketing dashboard from raw data with Claude Cowork.

Artificial Intelligence

15 min

Course

Image Processing in Python

  • IntermediateSkill Level
  • 4.8+
  • 226 reviews

Learn to process, transform, and manipulate images at your will.

Machine Learning

4 hours

Course

Intermediate Docker

  • IntermediateSkill Level
  • 4.7+
  • 938 reviews

Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!

Software Development

4 hours

Course

Software Development with Cursor

  • IntermediateSkill Level
  • 4.8+
  • 488 reviews

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

Artificial Intelligence

1 hour 30 min

Course

Intermediate Data Visualization with ggplot2

  • IntermediateSkill Level
  • 4.7+
  • 1,013 reviews

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

Data Visualization

4 hours

Course

Cleaning Data in R

  • IntermediateSkill Level
  • 4.7+
  • 860 reviews

Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

Data Preparation

4 hours

Course

Writing Efficient R Code

  • IntermediateSkill Level
  • 4.7+
  • 146 reviews

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

Software Development

4 hours

Course

End-to-End Machine Learning

  • IntermediateSkill Level
  • 4.7+
  • 398 reviews

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

Machine Learning

4 hours

Course

Introduction to Portfolio Risk Management in Python

  • IntermediateSkill Level
  • 4.8+
  • 385 reviews

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

Applied Finance

4 hours

Course

Input/Output and Streams in Java

  • IntermediateSkill Level
  • 4.8+
  • 529 reviews

Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.

Software Development

4 hours

Course

Extreme Gradient Boosting with XGBoost

  • IntermediateSkill Level
  • 4.8+
  • 281 reviews

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

Machine Learning

4 hours

Course

Reporting with R Markdown

  • IntermediateSkill Level
  • 4.7+
  • 346 reviews

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

Reporting

4 hours

Course

A/B Testing in Python

  • IntermediateSkill Level
  • 4.7+
  • 411 reviews

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

Probability & Statistics

4 hours

Course

Cluster Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 1,093 reviews

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

Machine Learning

4 hours

Course

Sampling in R

  • IntermediateSkill Level
  • 4.7+
  • 907 reviews

Master sampling to get more accurate statistics with less data.

Probability & Statistics

4 hours

Course

Credit Risk Modeling in Python

  • IntermediateSkill Level
  • 4.7+
  • 313 reviews

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

Applied Finance

4 hours

Course

Data Transformation with Polars

  • IntermediateSkill Level
  • 4.8+
  • 161 reviews

Take Polars further with text manipulation, rolling statistics, DataFrame joins, and advanced analytics.

Data Manipulation

4 hours

Course

Intermediate Workflow Automation with n8n

  • IntermediateSkill Level
  • 4.8+
  • 119 reviews

Design resilient, production-ready n8n automations that fetch APIs, process data in batches, handle errors, and run unattended on a schedule.

Artificial Intelligence

4 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