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528 Courses

Course

Introduction to Data Engineering

  • IntermediateSkill Level
  • 4.7+
  • 846 reviews

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

Data Engineering

4 hours

Course

Containerization and Virtualization Concepts

  • IntermediateSkill Level
  • 4.8+
  • 2,713 reviews

Learn the essentials of VMs, containers, Docker, and Kubernetes. Understand the differences to get started!

Software Development

2 hours

Course

Hypothesis Testing in Python

  • IntermediateSkill Level
  • 4.7+
  • 3,644 reviews

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

Probability & Statistics

4 hours

Course

Intermediate Java

  • BasicSkill Level
  • 4.8+
  • 1,251 reviews

Learn to write cleaner, smarter Java code with methods, control flow, and loops.

Software Development

4 hours

Course

Understanding Excel

  • BasicSkill Level
  • 4.8+
  • 1,410 reviews

Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!

Data Manipulation

1 hour

Course

Sampling in Python

  • IntermediateSkill Level
  • 4.7+
  • 3,863 reviews

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

Probability & Statistics

4 hours

Course

Introduction to Data Quality

  • BasicSkill Level
  • 4.7+
  • 3,426 reviews

Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.

Data Management

2 hours

Course

Multi-Agent Systems with LangGraph

  • AdvancedSkill Level
  • 4.8+
  • 660 reviews

Build powerful multi-agent systems by applying emerging agentic design patterns in the LangGraph framework.

Artificial Intelligence

2 hours 45 min

Course

Analyzing Data in Tableau

  • BasicSkill Level
  • 4.8+
  • 1,739 reviews

Take your Tableau skills up a notch with advanced analytics and visualizations.

Data Visualization

8 hours

Course

Deploying and Maintaining Assets in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 3,308 reviews

Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.

Data Manipulation

2 hours

Course

Introduction to Microsoft Fabric

  • BasicSkill Level
  • 4.7+
  • 1,082 reviews

To understand Fabric’s main use cases, you will explore various tools in the seven Fabric experiences.

Other

4 hours

Course

Introduction to Kubernetes

  • IntermediateSkill Level
  • 4.7+
  • 1,588 reviews

In this course, you will learn the fundamentals of Kubernetes and deploy and orchestrate containers using Manifests and kubectl instructions.

Software Development

3 hours

Course

Introduction to Google Sheets

  • BasicSkill Level
  • 4.8+
  • 1,949 reviews

Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.

Data Preparation

2 hours

Course

Introduction to Object-Oriented Programming in Java

  • IntermediateSkill Level
  • 4.8+
  • 1,190 reviews

Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.

Software Development

4 hours

Course

Working with Llama 3

  • IntermediateSkill Level
  • 4.8+
  • 2,318 reviews

Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.

Artificial Intelligence

2 hours

Course

Working with the OpenAI Responses API

  • IntermediateSkill Level
  • 4.8+
  • 309 reviews

Build smart, interactive, and reliable AI applications easier than ever before with the OpenAI Responses API and GPT-5.

Artificial Intelligence

3 hours

Course

Software Development with Cursor

  • IntermediateSkill Level
  • 4.8+
  • 451 reviews

Build production-ready code with Cursor. Learn AI prompts, refactoring, testing, and advanced workflows.

Artificial Intelligence

1 hour 30 min

Course

Financial Analysis in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 540 reviews

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

Applied Finance

6 hours

Course

Streamlined Data Ingestion with pandas

  • IntermediateSkill Level
  • 4.8+
  • 1,937 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

Data Storytelling Case Study: College Majors

  • BasicSkill Level
  • 4.8+
  • 924 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

Introduction to Google Workspace with Gemini

  • BasicSkill Level
  • 4.8+
  • 406 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

Introduction to Importing Data in R

  • BasicSkill Level
  • 4.7+
  • 369 reviews

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

Data Preparation

3 hours

Course

Introduction to MLflow

  • AdvancedSkill Level
  • 4.7+
  • 801 reviews

Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.

Machine Learning

4 hours

Course

Microsoft Copilot in Word

  • BasicSkill Level
  • 4.8+
  • 289 reviews

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

Artificial Intelligence

3 hours

Course

Intermediate Power Query in Excel

  • IntermediateSkill Level
  • 4.7+
  • 1,153 reviews

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

Data Preparation

4 hours

Course

Intermediate dbt

  • AdvancedSkill Level
  • 4.7+
  • 1,024 reviews

Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.

Data Engineering

2 hours

Course

Machine Learning for Business

  • BasicSkill Level
  • 4.8+
  • 1,750 reviews

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

Machine Learning

2 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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