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726 Courses

Course

Introduction to the Tidyverse

  • BasicSkill Level
  • 4.8+
  • 1,114 reviews

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

Software Development

4 hours

Course

PostgreSQL Summary Stats and Window Functions

  • IntermediateSkill Level
  • 4.7+
  • 7,087 reviews

Learn how to create queries for analytics and data engineering with window functions, the SQL secret weapon!

Software Development

4 hours

Course

Introduction to GitHub Concepts

  • BasicSkill Level
  • 4.7+
  • 3,412 reviews

Learn how to use GitHubs various features, navigate the interface and perform everyday collaborative tasks.

Software Development

2 hours

Course

Introduction to Data Culture

  • BasicSkill Level
  • 4.7+
  • 6,189 reviews

Learn the key components of building a strong data culture within an organization.

Data Literacy

1 hour

Course

Intermediate R

  • BasicSkill Level
  • 4.8+
  • 955 reviews

Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

Software Development

6 hours

Course

Unsupervised Learning in Python

  • IntermediateSkill Level
  • 4.8+
  • 1,091 reviews

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

Machine Learning

4 hours

Course

Introduction to Java

  • BasicSkill Level
  • 4.8+
  • 1,977 reviews

Learn Java from the ground up with this beginner-friendly course, mastering essential programming concepts and skills.

Software Development

4 hours

Course

Data Storytelling Concepts

  • BasicSkill Level
  • 4.8+
  • 3,934 reviews

Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.

Data Literacy

2 hours

Course

Introduction to ChatGPT

  • BasicSkill Level
  • 4.8+
  • 5,316 reviews

Unlock the power of ChatGPT with better prompts, accurate responses, and safe AI use. Improve efficiency and get the most from AI conversations!

Artificial Intelligence

1 hour

Course

Introduction to Importing Data in Python

  • BasicSkill Level
  • 4.8+
  • 1,376 reviews

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

Data Preparation

3 hours

Course

Data Visualization in Excel

  • BasicSkill Level
  • 4.8+
  • 4,091 reviews

Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.

Data Visualization

3 hours

Course

Introduction to PySpark

  • IntermediateSkill Level
  • 4.7+
  • 2,528 reviews

Master PySpark to handle big data with ease—learn to process, query, and optimize massive datasets for powerful analytics!

Data Engineering

4 hours

Course

Python Toolbox

  • BasicSkill Level
  • 4.8+
  • 1,225 reviews

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

Software Development

4 hours

Course

Forming Analytical Questions

  • BasicSkill Level
  • 4.8+
  • 3,708 reviews

Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.

Data Literacy

1 hour

Course

Data Structures and Algorithms in Python

  • AdvancedSkill Level
  • 4.7+
  • 1,123 reviews

Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!

Software Development

4 hours

Course

Introduction to APIs in Python

  • IntermediateSkill Level
  • 4.8+
  • 3,823 reviews

Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.

Software Development

2 hours

Course

Introduction to Functions in Python

  • BasicSkill Level
  • 4.8+
  • 1,246 reviews

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

Software Development

3 hours

Course

Introduction to Power Query in Excel

  • BasicSkill Level
  • 4.8+
  • 2,245 reviews

Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.

Data Preparation

3 hours

Course

AWS Concepts

  • BasicSkill Level
  • 4.7+
  • 3,573 reviews

Discover the world of Amazon Web Services (AWS) and understand why its at the forefront of cloud computing.

Cloud

2 hours

Course

Introduction to Alteryx

  • BasicSkill Level
  • 4.8+
  • 2,292 reviews

Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.

Data Preparation

2 hours

Course

Introduction to Workflow Automation with n8n

  • BasicSkill Level
  • 4.7+
  • 598 reviews

Get started with n8n and learn to build automated workflows using triggers, logic, APIs, and AI—no coding required!

Artificial Intelligence

3 hours

Course

Cleaning Data in Python

  • IntermediateSkill Level
  • 4.7+
  • 4,727 reviews

Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

Data Preparation

4 hours

Course

Software Development with Claude Code

  • IntermediateSkill Level
  • 4.8+
  • 230 reviews

Claude Code brings AI assistance to your terminal. Learn the workflows that turn it into a reliable tool for real software development.

Software Development

4 hours

Course

Introduction to Snowflake SQL

  • IntermediateSkill Level
  • 4.8+
  • 5,237 reviews

This course will take you from Snowflakes foundational architecture to mastering advanced SnowSQL techniques.

Data Engineering

2 hours

Course

Intermediate ChatGPT

  • BasicSkill Level
  • 4.8+
  • 3,816 reviews

Learn the architecture behind GPT models and master advanced prompt crafting to unlock ChatGPTs full potential.

Artificial Intelligence

1 hour

Course

Data Transformation in Power BI

  • IntermediateSkill Level
  • 4.7+
  • 5,007 reviews

You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.

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.