Data Science Courses

413 Courses

LinkedIn Learning

Future Proofing Your Data Science Career

Future Proofing Your Data Science Career Get ahead in your field by understanding the future trends in data science with our comprehensive course, Future Proofing Your Data Science Career. This course, provided by LinkedIn Learning, offers valuable insights into the evolving landscape of data science and the critical skills required to thrive..

Coursera

Introduction to Machine Learning: Art of the Possible

Introduction to Machine Learning: Art of the Possible The Introduction to Machine Learning: Art of the Possible course provides best practices and recommendations for machine learning (ML) competency and a roadmap for integrating ML into your business processes. This course focuses on business leaders and other decision makers currentl.

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

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.

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

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.

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.

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.

Pluralsight

Assessing Your Company’s AI Talent Needs

Assessing Your Company’s AI Talent Needs Assembling the right AI team is crucial for organizational success. This course will teach you how to assess your company’s AI talent needs, identify key roles, develop a hiring plan, and foster a culture of continuous learning and innovation. In today's rapidly evolving.

AWS Skill Builder

AWS SimuLearn: Set Up an ML Environment

AWS SimuLearn is an online learning experience that pairs generative AI-powered simulations with hands-on practice to help individuals learn how to translate business problems into technical solutions through the simulation of dialog between a customer and a technology professional. AWS SimuLearn: Set Up an ML Environment In this AWS SimuLearn assi.

1 ... 20 21 22 23 24 ... 42

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

Future Proofing Your Data Science Career

Introduction to Machine Learning: Art of the Possible

Data Science Career Path

AI Fundamentals for Data Professionals

Becoming an AI-First Product Leader

Inside the Mind of an Aspiring Data Scientist

Data Science for Professionals

Complete Machine Learning and Data Science: Zero to Mastery

Assessing Your Company’s AI Talent Needs

AWS SimuLearn: Set Up an ML Environment

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?