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302 Courses

Course

Creating Dashboards in Tableau

  • BasicSkill Level
  • 4.8+
  • 1,606 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

Power Pivot in Excel

  • BasicSkill Level
  • 4.8+
  • 1,636 reviews

Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

Data Manipulation

3 hours

Course

Understanding the EU AI Act

  • BasicSkill Level
  • 4.7+
  • 1,389 reviews

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

Artificial Intelligence

1 hour

Course

Microsoft Copilot in Word

  • BasicSkill Level
  • 4.8+
  • 495 reviews

Master Microsoft Copilot in Word to write faster, understand documents instantly, and collaborate more effectively.

Artificial Intelligence

3 hours

Course

Vibe Coding with Replit

  • BasicSkill Level
  • 4.8+
  • 922 reviews

Learn vibe coding with Replit. Build apps like a Typeform clone, and master securing and deploying Replit apps.

Artificial Intelligence

2 hours

Course

Databricks Concepts

  • BasicSkill Level
  • 4.7+
  • 993 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

Introduction to Databricks Lakehouse

  • BasicSkill Level
  • 4.7+
  • 327 reviews

Explore the Databricks Lakehouse - from medallion architecture and clusters to governance, sharing, and deployment.

Data Engineering

3 hours

Course

Data-Driven Decision Making for Business

  • BasicSkill Level
  • 4.8+
  • 1,048 reviews

Discover how to make better business decisions by applying practical data frameworks—no coding required.

Leadership

2 hours

Course

Introduction to Statistics in Google Sheets

  • BasicSkill Level
  • 4.8+
  • 655 reviews

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

Probability & Statistics

4 hours

Course

Machine Learning for Business

  • BasicSkill Level
  • 4.8+
  • 1,862 reviews

Understand the fundamentals of Machine Learning and how its applied in the business world.

Machine Learning

2 hours

Course

Introduction to R for Finance

  • BasicSkill Level
  • 4.7+
  • 107 reviews

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

Applied Finance

4 hours

Course

Joining Data with dplyr

  • BasicSkill Level
  • 4.7+
  • 1,348 reviews

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

Data Manipulation

4 hours

Course

Data Management Concepts

  • BasicSkill Level
  • 4.8+
  • 1,243 reviews

Master the key concepts of data management, from life cycle stages to security and governance.

Data Management

2 hours

Course

Introduction to Sigma

  • BasicSkill Level
  • 4.8+
  • 562 reviews

Get started with Sigma! Learn how to build and customize simple, interactive dashboards for real-time analytics.

Data Manipulation

2 hours

Course

Google: Introduction to AI Agents

  • BasicSkill Level
  • 4.8+
  • 325 reviews

Gain an overview of AI Agents. Discover how AI Agents use autonomous action and reasoning to solve complex problems.

Cloud

20 min

Course

DevOps Concepts

  • BasicSkill Level
  • 4.8+
  • 972 reviews

In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.

Software Development

4 hours

Course

Creating PostgreSQL Databases

  • BasicSkill Level
  • 4.8+
  • 784 reviews

Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.

Data Preparation

4 hours

Course

Introduction to Google Workspace with Gemini

  • BasicSkill Level
  • 4.8+
  • 486 reviews

You learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Google Workspace.

Artificial Intelligence

30 min

Course

Data Management in Databricks

  • BasicSkill Level
  • 4.7+
  • 988 reviews

Learn data management in Databricks with Delta Lake, including ACID transactions, schema enforcement, and security.

Data Management

3 hours

Course

Data Science for Business

  • BasicSkill Level
  • 4.8+
  • 1,029 reviews

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

Data Literacy

2 hours

Course

Data Preparation in Alteryx

  • BasicSkill Level
  • 4.8+
  • 1,190 reviews

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

Data Preparation

3 hours

Course

Data Storytelling Case Study: College Majors

  • BasicSkill Level
  • 4.8+
  • 995 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

AI for Human Resources

  • BasicSkill Level
  • 4.8+
  • 259 reviews

Collaborate with AI to make recruiting, people ops, and policy engagement faster and fairer.

Artificial Intelligence

3 hours

Course

Connecting Data in Tableau

  • BasicSkill Level
  • 4.8+
  • 1,277 reviews

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

Data Preparation

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.