Data Science Courses

344 Courses

Complete Machine Learning and Data Science: Zero to Mastery

Complete Machine Learning and Data Science: Zero to Mastery Complete Machine Learning and Data Science: Zero to Mastery Learn Machine Learning (Artificial Intelligence), Python, Data Science, Data Analysis, Tensorflow, Pandas & more. All using the latest in AI! Categories: Artificial Intelligence Courses, Python Courses.

Coursera

Data Science for Professionals

Data Science for Professionals Data science has become indispensable across industries, driving informed decision-making and uncovering valuable insights from data. This course is designed for professionals seeking to leverage data science techniques and tools to extract meaningful information from data and drive organizational success. From dat.

LinkedIn Learning

Inside the Mind of an Aspiring Data Scientist

Inside the Mind of an Aspiring Data Scientist Embark on a journey to understand the world of data science with our comprehensive guide. Whether you're just starting out or looking to enhance your skill set, this course offers valuable insights into becoming a data scientist. Explore the potential of a data science career path and find out what c.

LinkedIn Learning

Becoming an AI-First Product Leader

Becoming an AI-First Product Leader | LinkedIn Learning University: Provider: LinkedIn Learning Become a successful product leader by adopting an AI-first mindset. Learn the product fundamentals of operating, managing, and leading AI-driven products. Categories: Artificial Intelligence Courses, Machine Learning Courses, Data Sci.

LinkedIn Learning

AI Fundamentals for Data Professionals

AI Fundamentals for Data Professionals | LinkedIn Learning Discover the fundamental skills, tools, and concepts of AI in this course designed for data professionals. Gain expertise in the core areas of Artificial Intelligence, including Machine Learning, Reinforcement Learning, Deep Learning, Supervised Learning, Unsupervised Learni.

Udemy

Data Science Career Path

Data Science Career Path Elevate your career by mastering the art of Data Science with Udemy’s specialized courses. Dive deep into tackling Big Data challenges and unlock the potential of data-driven decision making. Our comprehensive syllabus spans across: Artificial Intelligence Courses Python Courses Machine Learning.

LinkedIn Learning

Tableau for Data Scientists

Tableau for Data Scientists | LinkedIn Learning Tableau for Data Scientists Take your Tableau skills to the next level. Learn how to format and filter messy data, use Tableau for data analysis, and visualize data with maps and dashboards. Provider: LinkedIn Learning Categories: Data Analysis Courses, Bu.

Coursera

Fine-tuning Language Models for Business Tasks

Fine-tuning Language Models for Business Tasks This course demystifies the concept of "LLM fine-tuning" and its critical applications in the business world. In the context of rapidly evolving AI technologies, understanding how to fine-tune Large Language Models (LLMs) is essential for businesses to stay competitive. The course covers foundationa.

Coursera

GenAI for Data Scientists

GenAI for Data Scientists GenAI for Data Scientists is tailored for professionals eager to integrate Generative AI (GenAI) into their data science practices. This introductory course simplifies the complex realm of GenAI, illustrating its remarkable impact on data analysis, predictive modeling, and more. You will gain a thorough understanding o.

Coursera

Essentials of Prompt Engineering

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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

Complete Machine Learning and Data Science: Zero to Mastery

Data Science for Professionals

Inside the Mind of an Aspiring Data Scientist

Becoming an AI-First Product Leader

AI Fundamentals for Data Professionals

Data Science Career Path

Tableau for Data Scientists

Fine-tuning Language Models for Business Tasks

GenAI for Data Scientists

Essentials of Prompt Engineering

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?