Data Science Courses

506 Courses

Udemy

Microsoft Fabric - The Complete Guide

Explore the in-depth journey to mastering Microsoft Fabric through this all-inclusive guide designed to take you from foundational concepts to advanced expertise. Offered to you by Udemy, this course provides a thorough understanding of Microsoft Fabric, integrating critical insights into data science, machine learning, data warehousing, dat.

Udemy

A/B Testing in Python

Embark on a journey to enhance your business performance with the "A/B Testing in Python" course offered by Udemy. This course equips you with the skills to define, commence, and interpret the results of A/B tests, providing you with valuable insights to make informed decisions. Whether you're delving into Python, data analysis, marketing.

Udemy

Machine Learning for Data Analysis: Classification Modeling

Embark on an exciting journey into the world of Machine Learning tailored for data analysis using the power of Excel. This course is designed for those who want to delve into classification modeling to enhance their business intelligence capabilities without needing coding experience. Offered by Udemy, this comprehensive course covers key a.

Udemy

Machine Learning & Data Science: The Complete Visual Guide

Visit Course on Udemy Delve into the world of machine learning and data science with our comprehensive visual guide. This course offers an easy-to-follow approach with straightforward demos and Excel models, ensuring a complete understanding without the need for programming skills. Ideal for beginners and those seeking a practical, visual lear.

Udemy

End to End Data Science Practicum with Knime

Embark on an informative journey into the world of data science with our "End to End Data Science Practicum with Knime" offered by Udemy. This course empowers you to master key data science concepts and techniques using Knime, supported by practical hands-on examples. Whether your interest lies in data visualization, regression analysis, clust.

Udemy

Machine Learning Project: Heart Attack Prediction Analysis

Udemy

Data Science & Python - Maths, models, Stats PLUS Case Study

Embark on an in-depth journey into the world of data science and Python with our course: Data Science & Python - Maths, Models, Stats PLUS Case Study. Offered on Udemy, this course covers essential topics such as statistics, inferential tests, and both supervised and unsupervised learning methods. Explore the vast career opportunities in data s.

Udemy

Microsoft Fabric Masterclass - Future of Data with Fabric

Enroll in the Microsoft Fabric Masterclass to stay ahead with the future of data management. This comprehensive guide provides in-depth learning into Microsoft Fabric, encompassing essential tools like Data Factory, Data Warehouse, Data Science, and Power BI, all integrated within the Fabric platform. Whether you're an aspiring data scientis.

Udemy

Statistics for AI Data Science and Business Analysis - 2024

Unlock the potential of data-driven decision-making with our comprehensive course, "Statistics for AI, Data Science, and Business Analysis" for 2024. This course covers essential statistical concepts such as descriptive and inferential statistics, hypothesis testing, and regression analysis, tailored for professionals in AI, data science, and b.

Udemy

Complete PySpark & Google Colab Primer For Data Science

Master the art of building machine learning and neural network models using PySpark and Google Colab with this comprehensive primer. Perfectly suited for aspiring data scientists, this Udemy course covers essential topics including machine learning, big data, deep learning, and more. Discover how to efficiently process data and perform stati.

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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

Microsoft Fabric - The Complete Guide

A/B Testing in Python

Machine Learning for Data Analysis: Classification Modeling

Machine Learning & Data Science: The Complete Visual Guide

End to End Data Science Practicum with Knime

Machine Learning Project: Heart Attack Prediction Analysis

Data Science & Python - Maths, models, Stats PLUS Case Study

Microsoft Fabric Masterclass - Future of Data with Fabric

Statistics for AI Data Science and Business Analysis - 2024

Complete PySpark & Google Colab Primer For Data Science

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?