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775 Courses

Course

Data Communication Concepts

  • BasicSkill Level
  • 4.7+
  • 5,932 reviews

No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.

Data Literacy

3 hours

Course

Software Engineering Principles in Python

  • BasicSkill Level
  • 4.7+
  • 807 reviews

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

Software Development

4 hours

Course

Data Transformation in Power BI

  • IntermediateSkill Level
  • 4.7+
  • 5,649 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

Course

Introduction to Model Context Protocol (MCP)

  • IntermediateSkill Level
  • 4.8+
  • 545 reviews

Integrate AI/LLM applications with APIs, databases, and filesystems easier than ever before with the Model Context Protocol (MCP).

Artificial Intelligence

3 hours

Course

LLMOps Concepts

  • BasicSkill Level
  • 4.8+
  • 3,286 reviews

Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.

Artificial Intelligence

1 hour

Course

Intermediate ChatGPT

  • BasicSkill Level
  • 4.8+
  • 4,371 reviews

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

Artificial Intelligence

1 hour

Course

Artificial Intelligence Governance

  • BasicSkill Level
  • 4.8+
  • 1,313 reviews

Learn AI governance with Collibra. Build, embed, and scale responsible AI using tools, frameworks, and MLOps workflows.

Artificial Intelligence

2 hours

Course

Introduction to Docker

  • IntermediateSkill Level
  • 4.7+
  • 2,899 reviews

Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.

Software Development

4 hours

Course

Introduction to Workflow Automation with n8n

  • BasicSkill Level
  • 4.8+
  • 833 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

Implementing AI Solutions in Business

  • BasicSkill Level
  • 4.8+
  • 5,419 reviews

Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.

Artificial Intelligence

2 hours

Course

Forming Analytical Questions

  • BasicSkill Level
  • 4.8+
  • 4,089 reviews

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

Data Literacy

1 hour

Course

Introduction to Data Culture

  • BasicSkill Level
  • 4.7+
  • 6,586 reviews

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

Data Literacy

1 hour

Course

Claude Code in Action

  • IntermediateSkill Level
  • 4.8+
  • 237 reviews

Trust Claude Code with work you dont watch: steer long sessions, enforce rules with hooks, hand jobs off with routines and GitHub, and verify what comes back.

Artificial Intelligence

3 hours

Course

Data Manipulation with dplyr

  • BasicSkill Level
  • 4.8+
  • 758 reviews

Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

Data Manipulation

4 hours

Course

Introduction to Alteryx

  • BasicSkill Level
  • 4.8+
  • 2,581 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

DAX Functions in Power BI

  • BasicSkill Level
  • 4.8+
  • 5,002 reviews

Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.

Data Manipulation

3 hours

Course

Introduction to ChatGPT

  • BasicSkill Level
  • 4.8+
  • 5,687 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

Case Study: Analyzing Customer Churn in Excel

  • BasicSkill Level
  • 4.8+
  • 3,229 reviews

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

Reporting

1 hour

Course

Software Development with GitHub Copilot

  • IntermediateSkill Level
  • 4.8+
  • 1,357 reviews

Master GitHub Copilot to understand, write, and refine code with context, customization, and smart features.

Artificial Intelligence

1 hour 30 min

Course

Introduction to Statistics in R

  • IntermediateSkill Level
  • 4.8+
  • 2,170 reviews

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

Probability & Statistics

4 hours

Course

Introduction to dbt

  • IntermediateSkill Level
  • 4.7+
  • 2,730 reviews

This course introduces dbt for data modeling, transformations, testing, and building documentation.

Data Engineering

4 hours

Course

Introduction to Embeddings with the OpenAI API

  • IntermediateSkill Level
  • 4.8+
  • 3,248 reviews

Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAIs embedding model!

Artificial Intelligence

3 hours

Course

Understanding Microsoft Azure

  • BasicSkill Level
  • 4.8+
  • 2,676 reviews

Learn about the power of Microsoft Azure and cloud computing software to help you improve your data engineering skills.

Cloud

3 hours

Course

MLOps Concepts

  • IntermediateSkill Level
  • 4.8+
  • 2,907 reviews

Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.

Machine Learning

2 hours

Course

Introduction to SQL Server

  • BasicSkill Level
  • 4.8+
  • 437 reviews

Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.

Software Development

4 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.

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