Data Science Courses

511 Courses

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.

edX

Inteligencia artificial aplicada

La Inteligencia Artificial (IA) continúa transformando el mundo en que vivimos. Como tal, es imprescindible que tanto los desarrolladores como los consultores tecnológicos entiendan la inteligencia artificial y posean las habilidades para crear aplicaciones basadas en inteligencia artificial para ser competitivos en su campo. Este programa está.

Delft University of Technology

Data Skills for Artificial Intelligence

Data Skills for Artificial Intelligence - Delft University of Technology | edX Explore the intersection of data and Artificial Intelligence with this comprehensive MOOC series designed for aspiring data scientists, machine learning experts, and AI innovators. Presented by Delft University of Technology on edX, this program highlights the impor.

Harvard University

Learning Python for Data Science

Data science is an ever-evolving field, constantly innovating with new technologies and algorithms. To thrive, you need to learn cutting-edge languages like Python. Harvard University, in collaboration with edX, offers a Professional Certificate in Learning Python for Data Science, focusing on practical applications. This program, comprising thr.

edX

Generative AI for Data Scientists

Are you eager to elevate your data science skills with generative AI? Tailored for data scientists, analysts, architects, engineers, and data enthusiasts, this program equips you with the essential knowledge to integrate gen AI into your work efficiently. Start by building a strong foundation in generative AI's real-world applications. Underst.

edX

Essential Technologies for Business

In today’s world, businesses can only thrive by embracing core technologies such as cloud computing, artificial intelligence, and data science. These tools are pivotal in driving growth and innovation, ensuring businesses remain competitive and future-ready. This program offers foundational knowledge in these critical areas, exploring their.

edX

Introduction to AI

Are you curious about how artificial intelligence (AI) really works? Wondering which models power these systems, and how they impact society and the environment? Presented by engineers from Arm, this course offers a comprehensive introduction to AI, machine learning, and data science—shedding light on their historical evolution, current capabilitie.

Harvard University

Python for Data Science and Machine Learning

Have you considered a career in data science and machine learning but didn't know where to begin? The demand for professionals in machine learning (ML) and artificial intelligence (AI) is growing exponentially. With the ever-evolving data science landscape, the need for skilled data science analysts and engineers, especially those proficient in P.

Harvard University

Data Science and Machine Learning

Interested in a career in data science and machine learning but unsure where to begin? The demand for professionals skilled in machine learning (ML) and artificial intelligence (AI) is soaring, driven by an ever-evolving data science landscape. As machine learning tools become more widely available, companies are increasingly adopting them, fueling.

Harvard University

Python for Data Science and Machine Learning

Have you thought about a career in data science and machine learning but didn’t know where to start? Demand for professionals in the machine learning (ML) and artificial intelligence (AI) space is growing exponentially, with no signs of slowing thanks to the ever changing data science landscape. In fact, as the availability of machine learning too.

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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

Calculus -for Generative AI ,Data Science & Machine Learning

Inteligencia artificial aplicada

Data Skills for Artificial Intelligence

Learning Python for Data Science

Generative AI for Data Scientists

Essential Technologies for Business

Introduction to AI

Python for Data Science and Machine Learning

Data Science and Machine Learning

Python for Data Science and Machine Learning

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?