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770 Courses

Course

Gen AI: Beyond the Chatbot

  • BasicSkill Level
  • 4.8+
  • 165 reviews

This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization.

Cloud

1 hour 30 min

Course

Azure App Services

  • IntermediateSkill Level
  • 4.7+
  • 128 reviews

Build and deploy scalable web apps and serverless functions in Azure while mastering security, monitoring, and automation.

Cloud

3 hours

Course

AI for Consulting

  • BasicSkill Level
  • 4.8+
  • 173 reviews

Discover how AI can take your consulting work to the next level! Research, analyze, and communicate more productively and effectively.

Artificial Intelligence

3 hours

Course

Create Engaging Video with Google Vids

  • BasicSkill Level
  • 4.9+
  • 295 reviews

Create and refine videos faster with Gemini in Google Vids. Use AI-powered storyboarding and content generation to produce polished videos with ease.

Cloud

30 min

Course

Data Types and Exceptions in Java

  • IntermediateSkill Level
  • 4.8+
  • 570 reviews

Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!

Software Development

4 hours

Course

Introduction to Subagents

  • IntermediateSkill Level
  • 4.8+
  • 151 reviews

Learn how to use and create sub-agents in Claude Code to manage context, delegate tasks, and build workflows that keep your conversation clean and focused.

Artificial Intelligence

2 hours

Course

MLOps Deployment and Life Cycling

  • AdvancedSkill Level
  • 4.7+
  • 880 reviews

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

Machine Learning

4 hours

Course

Data Management in Databricks

  • BasicSkill Level
  • 4.7+
  • 835 reviews

Learn data management in Databricks with Delta Lake, including ACID transactions, schema enforcement, and security.

Data Management

3 hours

Course

Data Storytelling Case Study: Green Businesses

  • BasicSkill Level
  • 4.8+
  • 839 reviews

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

Data Literacy

1 hour

Course

Introduction to Bash Scripting

  • IntermediateSkill Level
  • 4.8+
  • 485 reviews

Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

Software Development

4 hours

Course

Data Science for Business

  • BasicSkill Level
  • 4.8+
  • 947 reviews

Learn about data science for managers and businesses and how to use data to strengthen your organization.

Data Literacy

2 hours

Course

Cleaning Data in R

  • IntermediateSkill Level
  • 4.7+
  • 799 reviews

Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

Data Preparation

4 hours

Course

AI for Human Resources

  • BasicSkill Level
  • 4.8+
  • 171 reviews

Collaborate with AI to make recruiting, people ops, and policy engagement faster and fairer.

Artificial Intelligence

3 hours

Course

Introduction to Apache Kafka

  • IntermediateSkill Level
  • 4.7+
  • 879 reviews

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

Data Engineering

2 hours

Course

Data Manipulation in Snowflake

  • BasicSkill Level
  • 4.8+
  • 1,042 reviews

Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.

Data Manipulation

2 hours

Course

End-to-End Machine Learning

  • IntermediateSkill Level
  • 4.7+
  • 345 reviews

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

Machine Learning

4 hours

Course

Gemini in Google Meet

  • BasicSkill Level
  • 4.9+
  • 312 reviews

Enhance virtual meetings with Gemini in Google Meet. Leverage AI-driven summaries, notes, and tools to make every meeting more efficient and actionable.

Artificial Intelligence

30 min

Course

AI for Data Analysts

  • IntermediateSkill Level
  • 4.7+
  • 45 reviews

Use AI across every stage of your data analysis. Write sharper prompts, audit data quality, find insights worth chasing, and ship work you can trust.

Artificial Intelligence

4 hours

Course

Intermediate SQL Server

  • IntermediateSkill Level
  • 4.8+
  • 234 reviews

In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.

Software Development

4 hours

Course

Gemini in Gmail

  • BasicSkill Level
  • 4.8+
  • 277 reviews

Learn about the key features of Gemini and how they can be used to improve productivity and efficiency in Gmail.

Artificial Intelligence

30 min

Course

Introduction to BigQuery

  • IntermediateSkill Level
  • 4.8+
  • 432 reviews

Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

Data Engineering

4 hours

Course

Claude Code in Action

  • IntermediateSkill Level
  • 4.9+
  • 65 reviews

Get hands-on with Claude Code, Anthropics terminal AI agent: master context, plan mode, custom commands, MCP, and hooks to ship real work you can trust.

Artificial Intelligence

3 hours

Course

Deploying AI into Production with FastAPI

  • AdvancedSkill Level
  • 4.8+
  • 414 reviews

Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.

Artificial Intelligence

4 hours

Course

Time Series Analysis in Python

  • IntermediateSkill Level
  • 4.8+
  • 135 reviews

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Probability & Statistics

4 hours

Course

Developing Python Packages

  • IntermediateSkill Level
  • 4.7+
  • 926 reviews

Learn to create your own Python packages to make your code easier to use and share with others.

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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