Data Science Courses

914 Courses

Harvard University

Data Science and Machine Learning

Have you thought about a career in data science and machine learning but didn’t know where to start? Demand for professionals in the machine learning (ML) and artificial intelligence (AI) space is growing exponentially, with no signs of slowing thanks to the ever changing data science landscape. In fact, as the availability of machine learning too.

edX

Coursera

Transforming Exploratory Data Analysis with AI

Picture this: You’re a data scientist working for a non-profit organization responding to a natural disaster. You’ve been tasked with analyzing data from multiple sources—satellite imagery, social media posts, and relief agency reports—to identify the most affected areas and allocate resources efficiently. The problem? The data is massive, unstruct.

Coursera

edX

Detecting Anomalies with Machine Learning

Engineers are responsible for detecting abnormalities and ensuring reliability in the products they produce. Developments in artificial intelligence (AI) provide new tools for engineers to quicky identify anomalies and anticipate maintenance needs, preventing costly downtime and failures. Acquiring these skills will enable you to remain competitiv.

edX

FutureLearn

Microsoft Power BI: Advanced Data Analysis and Visualisation

Learn from the experts in the Power BI product team Power BI is a cloud-based business analytics service, helping you stay up-to-date with the information that matters to you. It helps create live operational dashboards from on-premises and cloud data in one central location that you can access across a range of devices. On this three-week data an.

FutureLearn

Coursera

Introduction to AI

Discover the fundamental concepts behind artificial intelligence (AI) and machine learning in this introductory course. Explore the various types of AI, examine ethical considerations, and delve into the key machine learning models that power modern AI systems. Whether your goal is to work directly with AI, strengthen your software development skil.

Coursera

Skillshare

Complete Python for beginners 2025

Hi! Do you know why Python is so popular and why millions of student learn python these days and many of them don't clear their concept and don't do a great job in Python Programing because of lack of knowledge? You are on the right course for learning the Complete Python Programming Language. Python has a huge Demand in the Job market. Google, Fa.

Skillshare

Certificate in Data Science

Gain in-demand knowledge and specialized skills in the cutting-edge world of technology. Explore data to discover insights and make important predictions. This certificate is perfect for working professionals who want a strong foundation in data science or hope to pursue a degree in the future.The Certificate in Data Science is a 21-credit program.

YouTube

ChemSpider Webinar: What Does the Future Hold? - 17 November 2023

Explore the future of chemistry data with talks on data explosion, AI's role in chemistry, and data sharing at the RSC in this thought-provoking webinar.

YouTube

Free Video

1 hour

On-Demand

edX

Data Analyst

Master essential data analytics skills using Power BI to collect, clean, model, and visualize data. Build compelling dashboards and transform raw data into actionable insights for stakeholders.

edX

$120.00

Not Specified

On-Demand

YouTube

What Makes a Model a Digital Twin? An Atmospheric Science-based Perspective

Explore the distinction between traditional models and digital twins in atmospheric science, examining defining characteristics and applications that transcend specific domains into generalizable principles.

YouTube

Free Video

51 minutes

On-Demand

1 ... 52 53 54 55 56 ... 92

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 Science and Machine Learning

Transforming Exploratory Data Analysis with AI

Detecting Anomalies with Machine Learning

Microsoft Power BI: Advanced Data Analysis and Visualisation

Introduction to AI

Complete Python for beginners 2025

Certificate in Data Science

ChemSpider Webinar: What Does the Future Hold? - 17 November 2023

Data Analyst

What Makes a Model a Digital Twin? An Atmospheric Science-based Perspective

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?