Data Science Courses

930 Courses

YouTube

Data Streaming for the Agentic Era

Explore how real-time event streams enable autonomous AI agents to reason, collaborate, and act intelligently at production scale in the agentic era.

YouTube

Free Video

1 hour 41 minutes

On-Demand

YouTube

The Science of Cause and Effect - From Theoretical Foundations to Personalized Applications

Discover the science of cause and effect with Judea Pearl, exploring theoretical foundations and personalized applications in this comprehensive UCLA lecture.

YouTube

Free Video

1 hour 23 minutes

On-Demand

YouTube

AI in Retail - Advancing Promo Demand Forecasting

Discover how AI-driven demand forecasting reduces errors by 2.5x in retail, optimizing promotions, inventory distribution, and supply chain scheduling for enhanced operational efficiency and profitability.

YouTube

Free Video

30 minutes

On-Demand

YouTube

Spatio-Temporal AI Modeling for Urban Traffic Calibration - A SUMO-Based Approach

Discover how AI and spatio-temporal learning techniques can optimize urban traffic flow through digital twin simulations, using Dynamic Spatio-Temporal Graph Attention Networks to predict and calibrate traffic patterns in real-time.

YouTube

Free Video

16 minutes

On-Demand

Indian Institute of Management Bangalore

Data Analytics and Visualization with MS Power BI

Master data analytics with MS Power BI, from basic data preparation to creating interactive dashboards and advanced analytics using DAX. Develop skills to uncover insights and drive actionable outcomes from real-world datasets.

Swayam

Free Online Course

6 weeks

On-Demand

Coursera

AI in Supply Chain Forecasting and Risk Management

Discover how AI transforms supply chain management with practical applications in demand forecasting, risk mitigation, and automation. Gain skills to implement AI tools and drive innovation in your operations.

Coursera

Paid Course

3 hours 36 minutes

On-Demand

YouTube

Data Science Guide: Using GenAI for Career Growth

Discover how GenAI is transforming data science careers with expert insights on essential tools, skills, and applications for both tech and non-tech professionals looking to transition into AI-driven roles.

YouTube

Free Video

56 minutes

On-Demand

YouTube

LLMs - Application and Impact on Business

Explore how Large Language Models are transforming businesses with Sacha Khanin's keynote from DSC EUROPE 24, examining practical applications and strategic impacts.

YouTube

Free Video

40 minutes

On-Demand

YouTube

All About Biases in Artificial Intelligence

Explore biases in AI with Karen de Sousa Pesse, a STEM leader who examines data gaps and their impact while providing insights on building safer, more inclusive technologies for the future.

YouTube

Free Video

41 minutes

On-Demand

YouTube

Business Decision-Making in the Era of AI

Discover how AI revolutionizes business processes by streamlining data tasks, enabling direct AI interaction for insights, and democratizing data access for all organizational levels.

YouTube

Free Video

26 minutes

On-Demand

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Learning Paths for Career Advancement

Data Scientist works with company data, analyses it, looks for potential dependencies, draws conclusions on this basis and, if necessary, builds visualisations. To solve such tasks, the specialist uses mathematical algorithms, development tools and special programmes. A Data Scientist understands how to build a forecast and helps to make the right decisions.

This specialist uses Data Science methods to process large amounts of information. He builds and tests models of data behaviour. This is how he finds patterns in them and predicts future values. For example, knowing everything about the demand for a product earlier, Data Scientist helps the company to make a forecast about sales in the near future. All models are built thanks to machine learning algorithms.

Usually Data Scientists become for the following reasons:

There is a desire to learn a promising and highly paid profession.

There is experience in a related industry, but you want to move to a new, more demanded direction. Data Scientists are often programmers, marketers, financiers and business analysts.

In professional activities or scientific research, it is necessary to apply innovative technologies: big data, neural networks, artificial intelligence.

To work in Data Science you need find best data science and ai courses for improving programming skills and knowledge of maths beyond the school curriculum.

Course Benefits and Features

Why choose online artificial intelligence and data science courses?

Classes are taught by experienced programmers and analysts who explain complex material, such as probability theory or mathematical analysis in an easy-to-understand way with examples.

Recordings of all lessons are stored in your personal account. You will not have gaps in your knowledge, because webinars can be watched repeatedly at any time. The videos will stay with you forever.

After each topic there is a practical task. The tasks gradually become more complex, and by the end of the course you will build a neural network or recommendation system. That is, you will have projects ready for your portfolio.

If you cannot cope with a question on your own, the tutor will help you. He will point out mistakes and give recommendations.

Many schools help with finding a job for free, and also invite students for internships, so you will have the opportunity to gain experience in a real project.

Excellent knowledge of maths, statistics, programming languages, English, as well as creativity, communication and critical thinking: employers are willing to pay more for specialists with this set of skills.

How to Enroll in Data Science and AI Courses?

Let's tell you in detail what steps you need to go through to become a Data Science specialist:

Study mathematics and linear algebra. If you have knowledge within the school curriculum, you can start with books that explain the basic concepts in simple language: derivative, differential, matrix and so on.

Any analytics uses mathematical statistics and probability theory - these are the next big topics you should familiarise yourself with.

Working in Data Science is impossible without knowledge of programming languages. For a beginner, Python is suitable - it is relatively simple, flexible and feature-rich.

The next step is to learn machine learning algorithms: "with a teacher", "without a teacher", "with reinforcement". You need to learn how to collect data for analysis and visualise it.

Having sorted out the theory, move on to practice. For example, you can look for an assistant position or an internship in large IT companies!

Data Science Courses

Data Streaming for the Agentic Era

The Science of Cause and Effect - From Theoretical Foundations to Personalized Applications

AI in Retail - Advancing Promo Demand Forecasting

Spatio-Temporal AI Modeling for Urban Traffic Calibration - A SUMO-Based Approach

Data Analytics and Visualization with MS Power BI

AI in Supply Chain Forecasting and Risk Management

Data Science Guide: Using GenAI for Career Growth

LLMs - Application and Impact on Business

All About Biases in Artificial Intelligence

Business Decision-Making in the Era of AI

How to train in Data Science and become one from scratch?

Learning Paths for Career Advancement

Course Benefits and Features

How to Enroll in Data Science and AI Courses?