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Introduction to AI Agents
- BasicSkill Level
- 4.8+
- 38.9K
Learn the fundamentals of AI agents, their components, and real-world use—no coding required.
Artificial Intelligence
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Introduction to AI for Work
- BasicSkill Level
- 4.8+
- 36.6K
Explore what AI is and how to use it responsibly for smarter, more productive work!
Artificial Intelligence
Course
AI Ethics
- BasicSkill Level
- 4.8+
- 35.6K
Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.
Artificial Intelligence
Course
Introduction to Data
- BasicSkill Level
- 4.8+
- 15.6K
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
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Generative AI Concepts
- BasicSkill Level
- 4.8+
- 11K
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
Generative AI for Business
- BasicSkill Level
- 4.8+
- 7K
Learn the role Generative Artificial Intelligence plays today and will play in the future in a business environment.
Artificial Intelligence
Course
Introduction to Relational Databases in SQL
- BasicSkill Level
- 4.8+
- 5.9K
Learn how to create one of the most efficient ways of storing data - relational databases!
Software Development
Course
Introduction to GitHub Concepts
- BasicSkill Level
- 4.8+
- 4.8K
Learn how to use GitHubs various features, navigate the interface and perform everyday collaborative tasks.
Software Development
Course
Implementing AI Solutions in Business
- BasicSkill Level
- 4.8+
- 3.9K
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
Practical AI with Google Gemini and NotebookLM
- BasicSkill Level
- 4.9+
- 3.4K
Master Gemini and NotebookLM to automate tasks, boost productivity, and work smarter across Googles AI ecosystem.
Artificial Intelligence
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
Developing AI Systems with the OpenAI API
- IntermediateSkill Level
- 4.8+
- 2.8K
Leverage the OpenAI API to get your AI applications ready for production.
Artificial Intelligence
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Introduction to Apache Airflow in Python
- AdvancedSkill Level
- 4.8+
- 2.4K
Learn how to implement and schedule data engineering workflows.
Data Engineering
Course
Cleaning Data with Generative AI
- BasicSkill Level
- 4.8+
- 2.3K
Use generative AI to tackle data cleaning, fixing duplicates, nulls, and formatting for consistent, accurate datasets.
Artificial Intelligence
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AI-Assisted Coding for Developers
- IntermediateSkill Level
- 4.9+
- 1.9K
Boost your coding with AI—guide your coding assistant to write, test, and document code effectively.
Artificial Intelligence
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Responsible AI Practices
- BasicSkill Level
- 4.8+
- 1.9K
Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.
Artificial Intelligence
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AI for Finance
- BasicSkill Level
- 4.9+
- 1.6K
Apply AI in finance to analyze data, prompt effectively, and automate workflows for better decisions.
Artificial Intelligence
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Introduction to SQL Querying with AI
- BasicSkill Level
- 4.8+
- 1.4K
Learn SQL Querying with AI by writing prompts, generating queries, and analyzing data to solve real-world problems.
Data Manipulation
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Building AI Agents with Google ADK
- IntermediateSkill Level
- 4.8+
- 1.3K
Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).
Artificial Intelligence
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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
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Understanding the EU AI Act
- BasicSkill Level
- 4.8+
- 1.2K
Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.
Artificial Intelligence
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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
Explainable AI in Python
- IntermediateSkill Level
- 4.8+
- 1.1K
Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.
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Responsible AI Data Management
- IntermediateSkill Level
- 4.8+
- 1.1K
Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.
Artificial Intelligence
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Introduction to NoSQL
- BasicSkill Level
- 4.8+
- 918
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
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Deploying AI into Production with FastAPI
- AdvancedSkill Level
- 4.8+
- 754
Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.
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Course
AI for Marketing
- BasicSkill Level
- 4.8+
- 728
Master AI for marketing to plan smarter campaigns, create quality content, and build custom AI agents.
Artificial Intelligence
Course
Introduction to Databases in Python
- IntermediateSkill Level
- 4.8+
- 711
In this course, youll learn the basics of relational databases and how to interact with them.
Data Manipulation
Course
Introduction to Generative AI in Snowflake
- IntermediateSkill Level
- 4.8+
- 658
Learn to build AI applications using Snowflake Cortexs built-in LLM functions for text analysis, generation, and multi-step workflows.
Artificial Intelligence
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AI for Human Resources
- BasicSkill Level
- 4.9+
- 627
Collaborate with AI to make recruiting, people ops, and policy engagement faster and fairer.
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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