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528 Courses

Course

Data Preparation in Power BI

  • BasicSkill Level
  • 4.8+
  • 8,425 reviews

In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.

Data Preparation

3 hours

Course

AWS Concepts

  • BasicSkill Level
  • 4.7+
  • 3,968 reviews

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

Cloud

2 hours

Course

Software Development with Claude Code

  • IntermediateSkill Level
  • 4.8+
  • 551 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

Python Toolbox

  • BasicSkill Level
  • 4.8+
  • 1,332 reviews

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

Software Development

4 hours

Course

Data Visualization in Excel

  • BasicSkill Level
  • 4.8+
  • 4,464 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 Power Query in Excel

  • BasicSkill Level
  • 4.8+
  • 2,466 reviews

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

Data Preparation

3 hours

Course

Data Storytelling Concepts

  • BasicSkill Level
  • 4.8+
  • 4,246 reviews

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

Data Literacy

2 hours

Course

Unsupervised Learning in Python

  • IntermediateSkill Level
  • 4.8+
  • 1,149 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 Functions in Python

  • BasicSkill Level
  • 4.8+
  • 1,336 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

Intermediate R

  • BasicSkill Level
  • 4.8+
  • 1,002 reviews

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

Software Development

6 hours

Course

Cleaning Data in Python

  • IntermediateSkill Level
  • 4.7+
  • 5,094 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

Intermediate ChatGPT

  • BasicSkill Level
  • 4.8+
  • 4,250 reviews

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

Artificial Intelligence

1 hour

Course

Introduction to Workflow Automation with n8n

  • BasicSkill Level
  • 4.7+
  • 754 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

Software Engineering Principles in Python

  • BasicSkill Level
  • 4.7+
  • 756 reviews

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

Software Development

4 hours

Course

Introduction to Data Culture

  • BasicSkill Level
  • 4.7+
  • 6,472 reviews

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

Data Literacy

1 hour

Course

Data Transformation in Power BI

  • IntermediateSkill Level
  • 4.7+
  • 5,464 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

Forming Analytical Questions

  • BasicSkill Level
  • 4.8+
  • 3,995 reviews

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

Data Literacy

1 hour

Course

Data Communication Concepts

  • BasicSkill Level
  • 4.7+
  • 5,744 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

Introduction to Shell

  • BasicSkill Level
  • 4.8+
  • 3,762 reviews

The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

Software Development

4 hours

Course

Snowflake Architecture

  • BasicSkill Level
  • 4.8+
  • 306 reviews

Master Snowflakes three-layer architecture and build the mental model you need to work effectively in Snowflake.

Data Management

3 hours

Course

Introduction to Docker

  • IntermediateSkill Level
  • 4.7+
  • 2,794 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

Intermediate GitHub Concepts

  • IntermediateSkill Level
  • 4.8+
  • 2,539 reviews

Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.

Software Development

3 hours

Course

Introduction to ChatGPT

  • BasicSkill Level
  • 4.8+
  • 5,594 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 Embeddings with the OpenAI API

  • IntermediateSkill Level
  • 4.8+
  • 3,084 reviews

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

Artificial Intelligence

3 hours

Course

Data Warehousing Concepts

  • IntermediateSkill Level
  • 4.8+
  • 5,072 reviews

This introductory and conceptual course will help you understand the fundamentals of data warehousing.

Data Engineering

4 hours

Course

Software Development with GitHub Copilot

  • IntermediateSkill Level
  • 4.8+
  • 1,193 reviews

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

Artificial Intelligence

1 hour 30 min

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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