Data Science Courses

506 Courses

Udemy

AWS SageMaker Machine Learning Engineer in 30 Days + ChatGPT

Embark on an intensive learning journey with the "AWS SageMaker Machine Learning Engineer in 30 Days + ChatGPT" course offered by Udemy. This course is meticulously designed for those who wish to deepen their expertise in machine learning using AWS platforms. Tackle over 30 machine learning projects, propelling your skills to new heights withi.

Udemy

The Ultimate Beginner's Guide to AI and Machine Learning

Embark on an immersive journey with 'The Ultimate Beginner's Guide to AI and Machine Learning.' Delve into crucial areas where AI meets Human dynamics, uncover the potential of Generative AI in enhancing leadership abilities, and learn how AI is revolutionizing operations. Study its profound impact on business strategy through this comprehensiv.

Udemy

Generative AI for data analytics

Unlock the potential of Generative AI for Data Analytics with this cutting-edge course on Udemy. Dive into the world of data science, harness the power of ChatGPT, and develop your expertise in key areas such as mathematics, coding, and statistics. This course is perfect for those looking to excel in Artificial Intelligence, Machine Learning, an.

Udemy

Prepare for the Salesforce AI Associate Certification

Udemy

The Complete Artificial Intelligence for Cyber Security 2024

Explore the cutting-edge course, The Complete Artificial Intelligence for Cyber Security 2024, and unlock the potential of AI in the realm of cybersecurity. This comprehensive program, provided by Udemy, combines the disciplines of Data Science, Machine Learning, and Deep Learning to equip you with the skills needed to create powerful AI-driv.

Udemy

Data Science & Machine Learning: Naive Bayes in Python

Join the "Data Science & Machine Learning: Naive Bayes in Python" course on Udemy and elevate your understanding of a fundamental AI algorithm. This course is designed to significantly boost your Python programming prowess. This comprehensive program covers the Naive Bayes algorithm, a key technique in data classification and probability theo.

Udemy

Data Analytics & Data Science for Executives

Enroll now in Data Analytics for Executives to unlock the transformative power of data. Elevate your leadership skills by understanding how to leverage data science, machine learning, and big data technologies for strategic business outcomes. Suitable for executives and business leaders, this comprehensive course provides in-depth knowledge in d.

Udemy

Data-Driven Growth: How to Grow Your Business with Data

Join our comprehensive course on Data-Driven Growth and revolutionize the way you approach business expansion. This program offers valuable insights into adopting a growth mindset and leveraging data for business success. Offered by Udemy, this course is designed for professionals aiming to integrate data science, business intelligence, A/B t.

Udemy

Linear Algebra for AI - Generative AI

Udemy

Math for Data science,Data analysis and Machine Learning

Enhance your understanding of mathematics crucial for thriving fields like Data Science, Data Analysis, Machine Learning, and Artificial Intelligence. This expertly designed course on Udemy provides the essential mathematical knowledge needed to excel in these innovative domains. Delve into a wide variety of mathematical topics, including:.

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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

AWS SageMaker Machine Learning Engineer in 30 Days + ChatGPT

The Ultimate Beginner's Guide to AI and Machine Learning

Generative AI for data analytics

Prepare for the Salesforce AI Associate Certification

The Complete Artificial Intelligence for Cyber Security 2024

Data Science & Machine Learning: Naive Bayes in Python

Data Analytics & Data Science for Executives

Data-Driven Growth: How to Grow Your Business with Data

Linear Algebra for AI - Generative AI

Math for Data science,Data analysis 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?