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Dashboard Design Concepts
- BasicSkill Level
- 4.8+
- 2.2K
Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.
Data Visualization
Data, AI, and Cloud Courses
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AI-Assisted Coding for Developers
- IntermediateSkill Level
- 4.9+
- 2K
Boost your coding with AI—guide your coding assistant to write, test, and document code effectively.
Artificial Intelligence
Course
Introduction to Data Security
- BasicSkill Level
- 4.8+
- 1.9K
Discover how to become a data defender and keep data safe and secure with this beginner-friendly interactive course.
Data Management
Course
Introduction to Data Quality
- BasicSkill Level
- 4.8+
- 1.8K
Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.
Data Management
Course
Machine Learning for Business
- BasicSkill Level
- 4.8+
- 1.8K
Understand the fundamentals of Machine Learning and how its applied in the business world.
Machine Learning
Course
Understanding Modern Data Architecture
- IntermediateSkill Level
- 4.8+
- 1.7K
Discover modern data architectures key components, from ingestion and serving to governance and orchestration.
Data Engineering
Course
Responsible AI Practices
- BasicSkill Level
- 4.8+
- 1.5K
Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.
Artificial Intelligence
Course
Introduction to Data Ethics
- BasicSkill Level
- 4.8+
- 1.5K
Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.
Data Literacy
Course
Data Storytelling Case Study: College Majors
- BasicSkill Level
- 4.8+
- 1.3K
Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!
Data Literacy
Course
Data Management Concepts
- BasicSkill Level
- 4.8+
- 1.3K
Master the key concepts of data management, from life cycle stages to security and governance.
Data Management
Course
Monetizing Artificial Intelligence
- BasicSkill Level
- 4.8+
- 1.3K
Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.
Artificial Intelligence
Course
DevOps Concepts
- BasicSkill Level
- 4.8+
- 1.3K
In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.
Software Development
Course
Understanding the EU AI Act
- BasicSkill Level
- 4.8+
- 1.3K
Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.
Artificial Intelligence
Course
Vibe Coding with Replit
- BasicSkill Level
- 4.9+
- 1.3K
Learn vibe coding with Replit. Build apps like a Typeform clone, and master securing and deploying Replit apps.
Artificial Intelligence
Course
Data-Driven Decision Making for Business
- BasicSkill Level
- 4.8+
- 1.2K
Discover how to make better business decisions by applying practical data frameworks—no coding required.
Leadership
Course
Responsible AI Data Management
- IntermediateSkill Level
- 4.8+
- 1.2K
Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.
Artificial Intelligence
Course
AI Security and Risk Management
- BasicSkill Level
- 4.8+
- 1.2K
Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.
Artificial Intelligence
Course
Data Science for Business
- BasicSkill Level
- 4.8+
- 1.2K
Learn about data science for managers and businesses and how to use data to strengthen your organization.
Data Literacy
Course
Introduction to GPTs
- BasicSkill Level
- 4.8+
- 1.2K
Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.
Artificial Intelligence
Course
Artificial Intelligence Governance
- BasicSkill Level
- 4.8+
- 951
Learn AI governance with Collibra. Build, embed, and scale responsible AI using tools, frameworks, and MLOps workflows.
Artificial Intelligence
Course
Data Storytelling Case Study: Green Businesses
- BasicSkill Level
- 4.8+
- 917
Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.
Data Literacy
Course
Explainable Artificial Intelligence (XAI) Concepts
- BasicSkill Level
- 4.8+
- 904
Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.
Artificial Intelligence
Course
Marketing Analytics for Business
- BasicSkill Level
- 4.8+
- 869
Discover how Marketing Analysts use data to understand customers and drive business growth.
Leadership
Course
MLOps Deployment and Life Cycling
- AdvancedSkill Level
- 4.8+
- 849
In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.
Machine Learning
Course
Software Development with Windsurf
- IntermediateSkill Level
- 4.9+
- 737
Boost your coding with Windsurf, the AI-powered IDE that helps you build, debug, and deploy faster.
Artificial Intelligence
Course
Understanding GDPR
- BasicSkill Level
- 4.8+
- 686
Gain a clear understanding of GDPR principles and how to set up GDPR-compliant processes in this comprehensive course.
Data Literacy
Course
Demystifying Decision Science
- BasicSkill Level
- 4.8+
- 580
Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.
Data Literacy
Course
Developing Machine Learning Models for Production
- IntermediateSkill Level
- 4.8+
- 551
Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.
Machine Learning
Course
Math for Finance Professionals
- BasicSkill Level
- 4.8+
- 494
Learn essential finance math skills with practical Excel exercises and real-world examples.
Applied Finance
Course
Introduction to GCP
- BasicSkill Level
- 4.8+
- 487
Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.
Cloud
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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