Data Science Courses

896 Courses

Udemy

Machine Learning & Data Science: The Complete Visual Guide

Learn data science & machine learning topics with simple, step-by-step demos and user-friendly Excel models (NO code!)

On-Demand

Udemy

Tableau for Finance: Visualize Financial Data using Tableau

Learn to Analyze & Visualize Financial Data like a Pro with Tableau | Beginner-Friendly. Basic to Advanced level Tableau

On-Demand

Udemy

Tableau for HR: HR Analytics and Visualization with Tableau

Transform HR Data into Actionable Insights with Tableau: A Beginner-Friendly Course Covering Basic to Advanced Concepts

On-Demand

Udemy

Sales Analytics: Sales Analysis & Modeling using Excel

Unlock the Power of Data: Master sales analytics techniques & build analytical models in Excel for Improved Performance

On-Demand

Udemy

Alteryx 2023: The complete Alteryx course for all levels

Acquire ETL skills in Alteryx with this Latest and Enhanced Alteryx Course (includes quizzes & real time-assignments)

On-Demand

Udemy

Data Science & Machine Learning: Naive Bayes in Python

Master a crucial artificial intelligence algorithm and skyrocket your Python programming skills

On-Demand

Udemy

Statistics for AI Data Science and Business Analysis - 2025

Statistics you need at the Project : Descriptive and Inferential statistics, Hypothesis testing, Regression analysis

On-Demand

Udemy

Mastering Databricks SQL Warehouse and Spark SQL

A Comprehensive Course on Databricks SQL Warehouse and Spark SQL for Data Engineers, Data Analysts, BI Developers, etc

On-Demand

Udemy

Practical Data Literacy for Leaders

Make better data-driven business-decisions. Present your data like a PRO. Learn the key data and analytics terminology

On-Demand

Udemy

Machine Learning Project: Heart Attack Prediction Analysis

Data Science & Machine Learning - Boost your Machine Learning, statistics skills with real heart attack analysis project

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

Machine Learning & Data Science: The Complete Visual Guide

Tableau for Finance: Visualize Financial Data using Tableau

Tableau for HR: HR Analytics and Visualization with Tableau

Sales Analytics: Sales Analysis & Modeling using Excel

Alteryx 2023: The complete Alteryx course for all levels

Data Science & Machine Learning: Naive Bayes in Python

Statistics for AI Data Science and Business Analysis - 2025

Mastering Databricks SQL Warehouse and Spark SQL

Practical Data Literacy for Leaders

Machine Learning Project: Heart Attack Prediction Analysis

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?