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.
270 Courses

Course

Data-Driven Decision Making in SQL

  • IntermediateSkill Level
  • 4.8+
  • 4,456 reviews

Learn how to analyze a SQL table and report insights to management.

Data Literacy

4 hours

Course

Cleaning Data with Generative AI

  • BasicSkill Level
  • 4.7+
  • 1,502 reviews

Use generative AI to tackle data cleaning, fixing duplicates, nulls, and formatting for consistent, accurate datasets.

Artificial Intelligence

1 hour

Course

Streamlined Data Ingestion with pandas

  • IntermediateSkill Level
  • 4.8+
  • 1,867 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

Analyzing Business Data in SQL

  • IntermediateSkill Level
  • 4.8+
  • 243 reviews

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

Reporting

4 hours

Course

Joining Data with dplyr

  • BasicSkill Level
  • 4.7+
  • 1,254 reviews

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

Data Manipulation

4 hours

Course

Data Science for Business

  • BasicSkill Level
  • 4.8+
  • 957 reviews

Learn about data science for managers and businesses and how to use data to strengthen your organization.

Data Literacy

2 hours

Course

Data Visualization in Databricks

  • BasicSkill Level
  • 4.7+
  • 619 reviews

Create visualizations and dynamic dashboards with Databricks, turning raw data into clear and actionable insights.

Data Visualization

3 hours

Course

Case Study: Analyzing Customer Churn in Tableau

  • BasicSkill Level
  • 4.8+
  • 980 reviews

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

Data Visualization

3 hours

Course

Introduction to Databases in Python

  • IntermediateSkill Level
  • 4.8+
  • 283 reviews

In this course, youll learn the basics of relational databases and how to interact with them.

Data Manipulation

4 hours

Course

Analyzing Survey Data in R

  • IntermediateSkill Level
  • 4.8+
  • 219 reviews

Learn survey design using common design structures followed by visualizing and analyzing survey results.

Probability & Statistics

4 hours

Course

Dealing with Missing Data in Python

  • IntermediateSkill Level
  • 4.8+
  • 183 reviews

Learn how to identify, analyze, remove and impute missing data in Python.

Data Manipulation

4 hours

Course

Analyzing Social Media Data in Python

  • IntermediateSkill Level
  • 4.8+
  • 32 reviews

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

Data Manipulation

4 hours

Course

Data Manipulation in KNIME

  • BasicSkill Level
  • 4.8+
  • 247 reviews

Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.

Data Manipulation

3 hours

Course

Analyzing Survey Data in Python

  • IntermediateSkill Level
  • 4.6+
  • 51 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: Analyzing Fitness Data in Alteryx

  • IntermediateSkill Level
  • 4.8+
  • 55 reviews

Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!

Data Preparation

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

Predictive Analytics using Networked Data in R

  • IntermediateSkill Level
  • 4.8+
  • 32 reviews

Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network

Probability & Statistics

4 hours

Course

Introduction to Snowflake

  • BasicSkill Level
  • 4.8+
  • 4,395 reviews

Snowflake is a top data warehousing platform. Learn how they use Snowsight, a user-friendly SQL interface for accessing and exploring data.

Data Warehouse

2 hours

Course

Introduction to Tableau

  • BasicSkill Level
  • 4.8+
  • 5,291 reviews

Start your Tableau journey with our Introduction to Tableau course. Discover Tableau basics such as its features and dashboards.

Data Visualization

6 hours

Course

Introduction to Databricks

  • BasicSkill Level
  • 4.7+
  • 3,486 reviews

Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.

Data Engineering

3 hours

Course

Introduction to SQL Querying with AI

  • BasicSkill Level
  • 4.8+
  • 606 reviews

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

Data Manipulation

3 hours

Course

Creating Dashboards in Tableau

  • BasicSkill Level
  • 4.8+
  • 1,455 reviews

Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.

Data Visualization

3 hours

Course

Introduction to NoSQL

  • BasicSkill Level
  • 4.8+
  • 824 reviews

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.

Data Engineering

4 hours

Course

Pivot Tables in Google Sheets

  • BasicSkill Level
  • 4.8+
  • 220 reviews

Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.

Data Manipulation

2 hours

Course

Window Functions in Snowflake

  • IntermediateSkill Level
  • 4.8+
  • 522 reviews

Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.

Data Manipulation

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