Data Science Courses

513 Courses

Udemy

Data Science : Master Machine Learning Without Coding

Udemy Delve into the essentials of Data Science and Machine Learning, utilizing Rapidminer to master the concepts without any coding requirements. Perfect for those eager to understand the core principles and apply them easily with the tools provided. This course includes comprehensive datasets and solutions to enhance your learning experience..

Udemy

Linear Algebra for AI - Generative AI

Udemy

The Complete Healthcare Artificial Intelligence Course 2024

The Complete Healthcare Artificial Intelligence Course 2024 | Udemy Immerse yourself in the world of healthcare artificial intelligence with our comprehensive course. Learn to develop robust AI models to tackle real healthcare challenges by leveraging the power of data science, machine learning, and deep learning. This course, offered by Udemy.

Udemy

Data Science for Business Leaders: ML Fundamentals

Delve into "Data Science for Business Leaders: ML Fundamentals," a transformative course offered by Udemy that demystifies machine learning and artificial intelligence for business leaders. This no-code program is designed to empower leaders to comprehend and leverage AI as a strategic business tool, enhancing decision-making and innovati.

Udemy

Calculus -for Generative AI ,Data Science & Machine Learning

Unlock the power of calculus for a deeper understanding of artificial intelligence, deep learning, machine learning, and data science. This comprehensive course offered by Udemy is designed to provide you with the essential mathematical foundation needed in these cutting-edge fields. Through hands-on experience, you will master key calculus.

Coursera

Data Science & Inteligencia Artificial aplicados a negocios

Explora el poder transformador de la inteligencia artificial y la ciencia de datos en el entorno empresarial moderno con nuestro curso especializado. Descubre la aplicación práctica de estas tecnologías para mejorar la toma de decisiones y afrontar retos complejos de manera ética y efectiva. A medida que la IA redefine el mundo corporativo.

University of Illinois at Urbana-Champaign

Analytics Project Ideation

Data analytics is revolutionizing business operations, yet organizations frequently find it challenging to pinpoint opportunities for data-driven decisions and to map out a coherent analytics project plan. Aimed at beginners, this specialization empowers business leaders, managers, analysts, and data scientists to proficiently ideate, refine,.

Udemy

Supercharge AI with Knowledge Graphs: RAG System Mastery NEW

Coursera

GenAI for Financial Forecasting and Planning

Join our course designed to empower financial professionals with the transformative capabilities of Generative AI in forecasting and planning. Discover how AI-driven tools can streamline processes, enhance accuracy, and optimize strategic decision-making. By completing this course, you'll be able to automate financial predictions and validate.

Coursera

ChatGPT & Generative AI for Data Analytics

Join the course "ChatGPT & Generative AI for Data Analytics" to explore advanced tools that enhance your ability to work smarter and faster as a data professional. Dive into deep learning and generative AI, and understand the rapid development of large language models like ChatGPT and Gemini. Access free resources to enhance your skills and boo.

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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

Data Science : Master Machine Learning Without Coding

Linear Algebra for AI - Generative AI

The Complete Healthcare Artificial Intelligence Course 2024

Data Science for Business Leaders: ML Fundamentals

Calculus -for Generative AI ,Data Science & Machine Learning

Data Science & Inteligencia Artificial aplicados a negocios

Analytics Project Ideation

Supercharge AI with Knowledge Graphs: RAG System Mastery NEW

GenAI for Financial Forecasting and Planning

ChatGPT & Generative AI for Data Analytics

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?