Cloud
Data, AI, and Cloud Courses
Master skills that matterFollow 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 optionsor
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
730 Courses
Course
Introduction to Predictive Analytics in Python
- BasicSkill Level
- 4.8+
- 221 reviews
In this course youll learn to use and present logistic regression models for making predictions.
Machine Learning
Course
Monte Carlo Simulations in Python
- IntermediateSkill Level
- 4.7+
- 156 reviews
Learn to design and run your own Monte Carlo simulations using Python!
Probability & Statistics
Course
Case Study: Analyzing Healthcare Data in Power BI
- IntermediateSkill Level
- 4.8+
- 267 reviews
Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
Data Visualization
Course
AI-Assisted Product Launch
- BasicSkill Level
- 4.7+
- 332 reviews
Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.
Artificial Intelligence
Course
Time Series Analysis in SQL Server
- IntermediateSkill Level
- 4.7+
- 361 reviews
Explore ways to work with date and time data in SQL Server for time series analysis
Data Manipulation
Course
Winning a Kaggle Competition in Python
- AdvancedSkill Level
- 4.8+
- 433 reviews
Learn how to approach and win competitions on Kaggle.
Machine Learning
Course
Introduction to Network Analysis in Python
- IntermediateSkill Level
- 4.7+
- 210 reviews
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
Probability & Statistics
Course
Baseball Data Visualization in Power BI
- BasicSkill Level
- 4.8+
- 183 reviews
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.
Data Visualization
Course
Databricks with the Python SDK
- AdvancedSkill Level
- 4.7+
- 79 reviews
Master Databricks with Python: learn to authenticate, manage clusters, automate jobs, and query AI models programmatically.
Artificial Intelligence
Course
Building AI Agents with CrewAI
- IntermediateSkill Level
- 4.8+
- 82 reviews
Build AI teams that work together, automate workflows, and generate content with CrewAI.
Artificial Intelligence
Course
Introduction to Python in Power BI
- IntermediateSkill Level
- 4.8+
- 143 reviews
Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.
Data Manipulation
Course
Supply Chain Analytics in Python
- IntermediateSkill Level
- 4.8+
- 88 reviews
Leverage the power of Python and PuLP to optimize supply chains.
Exploratory Data Analysis
Course
Reinforcement Learning from Human Feedback (RLHF)
- AdvancedSkill Level
- 4.7+
- 293 reviews
Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.
Artificial Intelligence
Course
Claude Code in Action
- IntermediateSkill Level
- 4.9+
- 22 reviews
Get hands-on with Claude Code, Anthropics terminal AI agent: master context, plan mode, custom commands, MCP, and hooks to ship real work you can trust.
Artificial Intelligence
Course
Gen AI: Navigate the Landscape
- BasicSkill Level
- 4.8+
- 79 reviews
You explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.
Cloud
Course
Case Study: Supply Chain Analytics in Power BI
- BasicSkill Level
- 4.8+
- 176 reviews
Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.
Data Visualization
Course
Visualization Best Practices in R
- BasicSkill Level
- 4.8+
- 302 reviews
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.
Data Visualization
Course
Introduction to DataLab
- BasicSkill Level
- 4.8+
- 108 reviews
Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.
Reporting
Course
Analyzing Survey Data in R
- IntermediateSkill Level
- 4.8+
- 211 reviews
Learn survey design using common design structures followed by visualizing and analyzing survey results.
Probability & Statistics
Course
AI-Assisted Restaurant Planning
- BasicSkill Level
- 4.8+
- 342 reviews
Interact with a customized GPT and use your prompting skills to plan and open your restaurant.
Artificial Intelligence
Course
Importing and Managing Financial Data in Python
- IntermediateSkill Level
- 4.8+
- 60 reviews
In this course, youll learn how to import and manage financial data in Python using various tools and sources.
Applied Finance
Course
Data Fluency
- BasicSkill Level
- 4.8+
- 273 reviews
Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.
Data Literacy
Course
Case Study: Inventory Analysis in Power BI
- IntermediateSkill Level
- 4.7+
- 165 reviews
This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.
Data Visualization
Course
Case Study: Mortgage Trading Analysis in Power BI
- IntermediateSkill Level
- 4.8+
- 272 reviews
In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.
Applied Finance
Course
Marketing Analytics: Predicting Customer Churn in Python
- IntermediateSkill Level
- 4.8+
- 168 reviews
Learn how to use Python to analyze customer churn and build a model to predict it.
Exploratory Data Analysis
Course
Financial Modeling in Google Sheets
- IntermediateSkill Level
- 4.7+
- 266 reviews
Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.
Applied Finance
Course
Functions for Manipulating Data in SQL Server
- IntermediateSkill Level
- 4.9+
- 94 reviews
Learn the most important functions for manipulating, processing, and transforming data in SQL Server.
Data Manipulation
Course
Plan and Implement a Data Analytics Environment with Microsoft Fabric
- BasicSkill Level
- 4.7+
- 242 reviews
Learn how to set up and manage your Microsoft Fabric infrastructure.
Other
Course
Time Series Analysis in Power BI
- IntermediateSkill Level
- 4.8+
- 255 reviews
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.
Data Visualization
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.