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.
778 Courses

Course

Observability in Google Cloud

  • BasicSkill Level
  • 4.9+
  • 23 reviews

This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.

Cloud

4 hours 30 min

Course

ChIP-seq with Bioconductor in R

  • IntermediateSkill Level
  • 4.7+
  • 51 reviews

Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

Probability & Statistics

4 hours

Course

GARCH Models in R

  • AdvancedSkill Level
  • 4.8+
  • 99 reviews

Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.

Applied Finance

4 hours

Course

Analyzing Survey Data in Python

  • IntermediateSkill Level
  • 4.6+
  • 53 reviews

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

Probability & Statistics

4 hours

Course

Case Study: Inventory Analysis in Tableau

  • IntermediateSkill Level
  • 4.7+
  • 66 reviews

Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

Data Visualization

2 hours

Course

Build Streaming Data Pipelines on Google Cloud

  • IntermediateSkill Level
  • 4.7+
  • 13 reviews

Design and operate batch data pipelines on Google Cloud using Dataflow, Serverless Spark, Cloud Composer, and data validation techniques.

Cloud

3 hours 32 min

Course

Parallel Programming with Dask in Python

  • IntermediateSkill Level
  • 4.8+
  • 62 reviews

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

Software Development

4 hours

Course

Life Insurance Products Valuation in R

  • BasicSkill Level
  • 4.8+
  • 48 reviews

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

Applied Finance

4 hours

Course

Build Batch Data Pipelines on Google Cloud

  • IntermediateSkill Level
  • 4.9+
  • 11 reviews

Explore streaming data architectures on Google Cloud with Pub/Sub, Managed Kafka, Dataflow, and BigQuery for real-time data processing.

Cloud

2 hours 6 min

Course

Hyperparameter Tuning in R

  • AdvancedSkill Level
  • 4.8+
  • 59 reviews

Learn how to tune your models hyperparameters to get the best predictive results.

Machine Learning

4 hours

Course

Dimensionality Reduction in R

  • BasicSkill Level
  • 4.7+
  • 97 reviews

Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

Machine Learning

4 hours

Course

Introduction to Security in the World of AI

  • IntermediateSkill Level
  • 4.7+
  • 18 reviews

This course equips security and data protection leaders with strategies to securely manage AI within their organizations.

Cloud

1 hour

Course

Case Study: Ecommerce Analysis in Tableau

  • IntermediateSkill Level
  • 4.7+
  • 65 reviews

In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

Data Visualization

3 hours

Course

Scalable Data Processing in R

  • AdvancedSkill Level
  • 4.7+
  • 25 reviews

Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.

Software Development

4 hours

Course

Google Workspace End User: Google Slides

  • BasicSkill Level
  • 4.9+
  • 20 reviews

With Google Slides, you can create and present professional presentations for sales, projects, training modules, and much more.

Cloud

8 hours 30 min

Course

Auditing Expenses with Claude Cowork

  • IntermediateSkill Level
  • 4.6+
  • 3 reviews

Bored of pouring over expenses to figure out which ones violate policy? No longer! Use Claude Cowork to produce fast and clear expense violation reports.

Artificial Intelligence

15 min

Course

Loan Amortization in Google Sheets

  • IntermediateSkill Level
  • 4.7+
  • 49 reviews

Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.

Applied Finance

4 hours

Course

Sentiment Analysis in R

  • IntermediateSkill Level
  • 4.7+
  • 96 reviews

Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

Machine Learning

4 hours

Course

Building a Marketing Dashboard with Claude Cowork

  • IntermediateSkill Level
  • 4.7+
  • 12 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

Boost Productivity with Gemini in BigQuery

  • BasicSkill Level
  • 4.9+
  • 15 reviews

Use Gemini AI to boost your productivity in BigQuery. Explore data, accelerate code development, and discover visualization workflows.

Cloud

1 hour 23 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.

Download on the App StoreGet it on Google Play