Data Science Courses

930 Courses

Udemy

Tableau 10 and Tableau 9.3 Desktop, Server & Data Science

Learn the science & art behind creating powerful reports, dashboards to solve amazing & difficult business problems

Udemy

Paid Course

1 day 22 hours 27 minutes

On-Demand

Udemy

Microsoft Power Pivot (Excel) and SSAS (Tabular DAX model)

Visualise Data in Power Pivot for Excel or SSAS with DAX. 70-779, 70-768 exams. Business Intelligence PowerPivot tool.

Udemy

Paid Course

5 hours 30 minutes

On-Demand

Udemy

Excel for Mac 3: Pivot Tables Intro & Masterclass

Create data analysis in Excel using Pivot Tables with just a few clicks, together with summary Pivot Charts. Exam 70-779

Udemy

Paid Course

5 hours 46 minutes

On-Demand

Johns Hopkins University

Practical Methodology and Ethics in AI

Master practical AI methodologies while exploring ethical considerations, from model training to deployment, with emphasis on bias detection, probabilistic approaches, and creating responsible AI solutions.

Coursera

Free Online Course (Audit)

6 hours 56 minutes

On-Demand

Udemy

End to End Data Science Practicum with Knime

Applied Data Science Concepts and Techniques with Knime and hands on examples

Udemy

Paid Course

9 hours 13 minutes

On-Demand

Udemy

Tableau for Business Analytics and Marketing

Visualize marketing data with Tableau. Take your business to the next level with data driven decisions.

Udemy

Paid Course

2 hours 50 minutes

On-Demand

Udemy

Tableau Desktop Specialist Certification Guide

Tableau Desktop Specialist Certification Exam Subjects Covered in Detail! + Real World Case Study & 2 Practice Tests

Udemy

Paid Course

3 hours 47 minutes

On-Demand

Udemy

Alteryx Masterclass - solving real world business challenges

Learn to work faster, more efficiently and have fun with Alteryx

Udemy

Paid Course

2 hours 19 minutes

On-Demand

Udemy

Break out of Excel and into Tableau in 90 Minutes

Unleash the Power of Data Visualization to Grow Your Career

Udemy

Paid Course

1 hour 14 minutes

On-Demand

Udemy

Causal Data Science with Directed Acyclic Graphs

Get to know the modern tools for causal inference from machine learning and AI, with many practical examples in R

Udemy

Paid Course

4 hours 58 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

Tableau 10 and Tableau 9.3 Desktop, Server & Data Science

Microsoft Power Pivot (Excel) and SSAS (Tabular DAX model)

Excel for Mac 3: Pivot Tables Intro & Masterclass

Practical Methodology and Ethics in AI

End to End Data Science Practicum with Knime

Tableau for Business Analytics and Marketing

Tableau Desktop Specialist Certification Guide

Alteryx Masterclass - solving real world business challenges

Break out of Excel and into Tableau in 90 Minutes

Causal Data Science with Directed Acyclic Graphs

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?