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779 Courses

Course

Intermediate Importing Data in Python

  • BasicSkill Level
  • 4.8+
  • 1,019 reviews

Improve your Python data importing skills and learn to work with web and API data.

Data Preparation

2 hours

Course

Data Communication Concepts

  • BasicSkill Level
  • 4.7+
  • 5,785 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+
  • 3,802 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

Introduction to Data Culture

  • BasicSkill Level
  • 4.7+
  • 6,501 reviews

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

Data Literacy

1 hour

Course

Introduction to Docker

  • IntermediateSkill Level
  • 4.7+
  • 2,829 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 the Tidyverse

  • BasicSkill Level
  • 4.8+
  • 1,194 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

Forming Analytical Questions

  • BasicSkill Level
  • 4.8+
  • 4,024 reviews

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

Data Literacy

1 hour

Course

Intermediate GitHub Concepts

  • IntermediateSkill Level
  • 4.8+
  • 2,608 reviews

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

Software Development

3 hours

Course

Snowflake Architecture

  • BasicSkill Level
  • 4.8+
  • 319 reviews

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

Data Management

3 hours

Course

Data Warehousing Concepts

  • IntermediateSkill Level
  • 4.8+
  • 5,135 reviews

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

Data Engineering

4 hours

Course

Introduction to Embeddings with the OpenAI API

  • IntermediateSkill Level
  • 4.8+
  • 3,132 reviews

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

Artificial Intelligence

3 hours

Course

Introduction to ChatGPT

  • BasicSkill Level
  • 4.8+
  • 5,624 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

DAX Functions in Power BI

  • BasicSkill Level
  • 4.8+
  • 4,868 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 Alteryx

  • BasicSkill Level
  • 4.8+
  • 2,533 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

Software Development with GitHub Copilot

  • IntermediateSkill Level
  • 4.8+
  • 1,232 reviews

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

Artificial Intelligence

1 hour 30 min

Course

MLOps Concepts

  • IntermediateSkill Level
  • 4.8+
  • 2,838 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

Understanding Microsoft Azure

  • BasicSkill Level
  • 4.8+
  • 2,607 reviews

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

Cloud

3 hours

Course

Introduction to dbt

  • IntermediateSkill Level
  • 4.7+
  • 2,644 reviews

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

Data Engineering

4 hours

Course

Introduction to Python for Finance

  • BasicSkill Level
  • 4.8+
  • 490 reviews

Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.

Applied Finance

4 hours

Course

Introduction to LLMs in Python

  • IntermediateSkill Level
  • 4.7+
  • 1,879 reviews

Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

Artificial Intelligence

3 hours

Course

Introduction to Statistics in R

  • IntermediateSkill Level
  • 4.7+
  • 2,123 reviews

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

Probability & Statistics

4 hours

Course

Writing Efficient Python Code

  • IntermediateSkill Level
  • 4.8+
  • 2,618 reviews

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

Software Development

4 hours

Course

Claude Code in Action

  • IntermediateSkill Level
  • 4.9+
  • 185 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

Introduction to SQL Server

  • BasicSkill Level
  • 4.8+
  • 429 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

Course

Intermediate DAX in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 4,286 reviews

Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.

Data Manipulation

3 hours

Course

Introduction to Model Context Protocol (MCP)

  • IntermediateSkill Level
  • 4.8+
  • 382 reviews

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

Artificial Intelligence

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.

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