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299 Courses

Course

Introduction to Data Ethics

  • BasicSkill Level
  • 4.7+
  • 2,425 reviews

Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.

Data Literacy

1 hour

Course

Understanding the EU AI Act

  • BasicSkill Level
  • 4.7+
  • 1,116 reviews

Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.

Artificial Intelligence

1 hour

Course

Introduction to SQL Querying with AI

  • BasicSkill Level
  • 4.8+
  • 552 reviews

Learn SQL Querying with AI by writing prompts, generating queries, and analyzing data to solve real-world problems.

Data Manipulation

3 hours

Course

Databricks Concepts

  • BasicSkill Level
  • 4.7+
  • 859 reviews

Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.

Data Engineering

4 hours

Course

Introduction to Google Workspace with Gemini

  • BasicSkill Level
  • 4.8+
  • 252 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

Data Management Concepts

  • BasicSkill Level
  • 4.8+
  • 1,062 reviews

Master the key concepts of data management, from life cycle stages to security and governance.

Data Management

2 hours

Course

Data-Driven Decision Making for Business

  • BasicSkill Level
  • 4.8+
  • 897 reviews

Discover how to make better business decisions by applying practical data frameworks—no coding required.

Leadership

2 hours

Course

Joining Data with dplyr

  • BasicSkill Level
  • 4.7+
  • 1,218 reviews

Learn to combine data across multiple tables to answer more complex questions with dplyr.

Data Manipulation

4 hours

Course

Data Analysis in Google Sheets

  • BasicSkill Level
  • 4.8+
  • 1,195 reviews

Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

Data Manipulation

3 hours

Course

DevOps Concepts

  • BasicSkill Level
  • 4.8+
  • 846 reviews

In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.

Software Development

4 hours

Course

Gemini in Google Slides

  • BasicSkill Level
  • 4.8+
  • 289 reviews

Create impactful presentations faster with Gemini in Google Slides. Use AI-powered design and suggestions to build professional, engaging slides in minutes.

Artificial Intelligence

30 min

Course

Create Engaging Video with Google Vids

  • BasicSkill Level
  • 4.9+
  • 272 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 Storytelling Case Study: Green Businesses

  • BasicSkill Level
  • 4.8+
  • 822 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 Databricks Lakehouse

  • BasicSkill Level
  • 4.7+
  • 131 reviews

Explore the Databricks Lakehouse - from medallion architecture and clusters to governance, sharing, and deployment.

Data Engineering

3 hours

Course

Microsoft Copilot in PowerPoint

  • BasicSkill Level
  • 4.7+
  • 126 reviews

Build PowerPoint presentations with Microsoft Copilot. Turn documents into slides, generate visuals, and speaker notes.

Artificial Intelligence

2 hours

Course

Introduction to GPTs

  • BasicSkill Level
  • 4.7+
  • 659 reviews

Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.

Artificial Intelligence

1 hour

Course

Gemini in Google Meet

  • BasicSkill Level
  • 4.9+
  • 289 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

Data Management in Databricks

  • BasicSkill Level
  • 4.7+
  • 817 reviews

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

Data Management

3 hours

Course

Data Science for Business

  • BasicSkill Level
  • 4.8+
  • 939 reviews

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

Data Literacy

2 hours

Course

Artificial Intelligence Governance

  • BasicSkill Level
  • 4.8+
  • 562 reviews

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

Artificial Intelligence

2 hours

Course

AI for Human Resources

  • BasicSkill Level
  • 4.8+
  • 146 reviews

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

Artificial Intelligence

3 hours

Course

Data Manipulation in Snowflake

  • BasicSkill Level
  • 4.8+
  • 1,008 reviews

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

Data Manipulation

2 hours

Course

Gemini in Gmail

  • BasicSkill Level
  • 4.8+
  • 235 reviews

Artificial Intelligence

30 min

Course

Introduction to NoSQL

  • BasicSkill Level
  • 4.8+
  • 800 reviews

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.

Data Engineering

4 hours

Course

AI for Consulting

  • BasicSkill Level
  • 4.8+
  • 144 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

Gen AI: Beyond the Chatbot

  • BasicSkill Level
  • 4.8+
  • 128 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

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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