Course
Introduction to AI Agents
- BasicSkill Level
- 4.8+
- 40.3K
Learn the fundamentals of AI agents, their components, and real-world use—no coding required.
Artificial Intelligence
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Course
AI Ethics
- BasicSkill Level
- 4.8+
- 37.7K
Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.
Artificial Intelligence
Course
Introduction to AI for Work
- BasicSkill Level
- 4.8+
- 34.5K
Explore what AI is and how to use it responsibly for smarter, more productive work!
Artificial Intelligence
Course
Understanding Data Science
- BasicSkill Level
- 4.8+
- 25.3K
An introduction to data science with no coding involved.
Data Literacy
Course
Understanding Cloud Computing
- BasicSkill Level
- 4.8+
- 18.9K
A non-coding introduction to cloud computing, covering key concepts, terminology, and tools.
Cloud
Course
Understanding Artificial Intelligence
- BasicSkill Level
- 4.8+
- 17.8K
Learn the basic concepts of Artificial Intelligence, such as machine learning, deep learning, NLP, generative AI, and more.
Artificial Intelligence
Course
Understanding Data Engineering
- BasicSkill Level
- 4.9+
- 16.9K
Discover how data engineers lay the groundwork that makes data science possible. No coding involved!
Data Engineering
Course
Introduction to Data
- BasicSkill Level
- 4.8+
- 14.8K
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
Course
Introduction to Data Literacy
- BasicSkill Level
- 4.8+
- 13.7K
Data is all around us, which makes data literacy an essential life skill.
Data Literacy
Course
Understanding Machine Learning
- BasicSkill Level
- 4.8+
- 12.7K
An introduction to machine learning with no coding involved.
Machine Learning
Course
Large Language Models (LLMs) Concepts
- BasicSkill Level
- 4.8+
- 11.1K
Discover the full potential of LLMs with our conceptual course covering LLM applications, training methodologies, ethical considerations, and latest research.
Artificial Intelligence
Course
Generative AI Concepts
- BasicSkill Level
- 4.8+
- 10.3K
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
Course
Introduction to Statistics
- BasicSkill Level
- 4.8+
- 9.7K
Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!
Probability & Statistics
Course
Communicating Data Insights
- BasicSkill Level
- 4.8+
- 8.5K
Data-driven organizations consistently rely on insights to inspire action and drive change.
Data Literacy
Course
Understanding Data Visualization
- BasicSkill Level
- 4.8+
- 7.6K
An introduction to data visualization with no coding involved.
Data Visualization
Course
Generative AI for Business
- BasicSkill Level
- 4.8+
- 6.5K
Learn the role Generative Artificial Intelligence plays today and will play in the future in a business environment.
Artificial Intelligence
Course
Building Scalable Agentic Systems
- BasicSkill Level
- 4.8+
- 4.7K
Discover what it takes to scale AI agents, with a little help from frameworks like MCP and A2A.
Artificial Intelligence
Course
Data Storytelling Concepts
- BasicSkill Level
- 4.8+
- 4.6K
Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.
Data Literacy
Course
Introduction to Data Culture
- BasicSkill Level
- 4.8+
- 4.5K
Learn the key components of building a strong data culture within an organization.
Data Literacy
Course
Implementing AI Solutions in Business
- BasicSkill Level
- 4.8+
- 4K
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
Course
Data Communication Concepts
- BasicSkill Level
- 4.8+
- 4K
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
Course
Forming Analytical Questions
- BasicSkill Level
- 4.8+
- 3.9K
Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.
Data Literacy
Course
Data Warehousing Concepts
- IntermediateSkill Level
- 4.8+
- 3.8K
This introductory and conceptual course will help you understand the fundamentals of data warehousing.
Data Engineering
Course
Data Literacy Case Study: Remote Working Analysis
- BasicSkill Level
- 4.8+
- 3K
Improve data literacy skills by analyzing remote working policies.
Data Literacy
Course
MLOps Concepts
- IntermediateSkill Level
- 4.8+
- 2.9K
Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.
Machine Learning
Course
Introduction to Data Privacy
- BasicSkill Level
- 4.8+
- 2.9K
Gain a clear understanding of data privacy principles and how to implement privacy and security processes.
Data Literacy
Course
Artificial Intelligence (AI) Strategy
- BasicSkill Level
- 4.8+
- 2.8K
Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.
Artificial Intelligence
Course
LLMOps Concepts
- BasicSkill Level
- 4.8+
- 2.7K
Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.
Artificial Intelligence
Course
Data Governance Concepts
- BasicSkill Level
- 4.8+
- 2.5K
Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.
Data Management
Course
Large Language Models for Business
- BasicSkill Level
- 4.8+
- 2.3K
Learn about Large Language Models (LLMs) and how they are reshaping the business world.
Artificial Intelligence
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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