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528 Courses

Course

Introduction to AI for Work

  • BasicSkill Level
  • 4.7+
  • 16,246 reviews

Explore what AI is and how to use it responsibly for smarter, more productive work!

Artificial Intelligence

AI Tutor

2 hours 30 min

Course

Introduction to AI Agents

  • BasicSkill Level
  • 4.8+
  • 22,847 reviews

Learn the fundamentals of AI agents, their components, and real-world use—no coding required.

Artificial Intelligence

1 hour 30 min

Course

AI Ethics

  • BasicSkill Level
  • 4.8+
  • 26,128 reviews

Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.

Artificial Intelligence

1 hour

Course

Understanding Artificial Intelligence

  • BasicSkill Level
  • 4.7+
  • 18,067 reviews

Learn the basic concepts of Artificial Intelligence, such as machine learning, deep learning, NLP, generative AI, and more.

Artificial Intelligence

2 hours

Course

Generative AI Concepts

  • BasicSkill Level
  • 4.8+
  • 9,343 reviews

Discover how to begin responsibly leveraging generative AI. Learn how generative AI models are developed and how they will impact society moving forward.

Artificial Intelligence

2 hours

Course

Introduction to Data

  • BasicSkill Level
  • 4.8+
  • 8,841 reviews

Gain an introduction to data in this hands-on course. Learn the basics of data types and structures, the DIKW framework, data ethics and more.

Data Literacy

2 hours

Course

Generative AI for Business

  • BasicSkill Level
  • 4.7+
  • 9,125 reviews

Learn the role Generative Artificial Intelligence plays today and will play in the future in a business environment.

Artificial Intelligence

1 hour

Course

Responsible AI Practices

  • BasicSkill Level
  • 4.7+
  • 4,175 reviews

Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.

Artificial Intelligence

2 hours

Course

Introduction to GitHub Concepts

  • BasicSkill Level
  • 4.8+
  • 4,086 reviews

Learn how to use GitHubs various features, navigate the interface and perform everyday collaborative tasks.

Software Development

2 hours

Course

Introduction to Claude Models

  • IntermediateSkill Level
  • 4.8+
  • 918 reviews

Learn how to work with Claude using the Anthropic API to solve real-world tasks and build AI-powered applications.

Other

3 hours

Course

AI-Assisted Coding for Developers

  • IntermediateSkill Level
  • 4.8+
  • 1,193 reviews

Boost your coding with AI—guide your coding assistant to write, test, and document code effectively.

Artificial Intelligence

1 hour 30 min

Course

Implementing AI Solutions in Business

  • BasicSkill Level
  • 4.7+
  • 5,303 reviews

Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.

Artificial Intelligence

2 hours

Course

AI for Finance

  • BasicSkill Level
  • 4.8+
  • 428 reviews

Apply AI in finance to analyze data, prompt effectively, and automate workflows for better decisions.

Artificial Intelligence

3 hours

Course

Cleaning Data with Generative AI

  • BasicSkill Level
  • 4.7+
  • 1,580 reviews

Use generative AI to tackle data cleaning, fixing duplicates, nulls, and formatting for consistent, accurate datasets.

Artificial Intelligence

1 hour

Course

Artificial Intelligence Governance

  • BasicSkill Level
  • 4.8+
  • 996 reviews

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

Artificial Intelligence

2 hours

Course

Artificial Intelligence (AI) Strategy

  • BasicSkill Level
  • 4.8+
  • 2,156 reviews

Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.

Artificial Intelligence

3 hours

Course

Building AI Applications with Pinecone

  • IntermediateSkill Level
  • 4.8+
  • 2,111 reviews

Discover how the Pinecone vector database is revolutionizing AI application development!

Artificial Intelligence

3 hours

Course

AI Security and Risk Management

  • BasicSkill Level
  • 4.8+
  • 1,376 reviews

Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.

Artificial Intelligence

2 hours

Course

Introduction to SQL Querying with AI

  • BasicSkill Level
  • 4.8+
  • 635 reviews

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

Data Manipulation

3 hours

Course

Building AI Agents with Google ADK

  • IntermediateSkill Level
  • 4.8+
  • 573 reviews

Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).

Artificial Intelligence

1 hour

Course

Introduction to GPTs

  • BasicSkill Level
  • 4.7+
  • 861 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

Gen AI: Beyond the Chatbot

  • BasicSkill Level
  • 4.8+
  • 296 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

Understanding the EU AI Act

  • BasicSkill Level
  • 4.7+
  • 1,291 reviews

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

Artificial Intelligence

1 hour

Course

Monetizing Artificial Intelligence

  • BasicSkill Level
  • 4.7+
  • 1,011 reviews

Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.

Artificial Intelligence

1 hour

Course

Responsible AI Data Management

  • IntermediateSkill Level
  • 4.7+
  • 1,147 reviews

Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.

Artificial Intelligence

1 hour

Course

AI for Data Analysts

  • IntermediateSkill Level
  • 4.7+
  • 71 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

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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