Data Science Courses

486 Courses

Noble Desktop

Data Analytics Certificate

Embark on a journey to enhance your career prospects with the Data Analytics Certificate from Noble Desktop. This immersive course equips you with the pivotal skills needed to thrive as a Data Analyst or Business Analyst. Delve into the realms of data analysis, visualization, and statistical techniques through a curriculum designed to prioritize.

Udemy

SQL for Data Science + Data Analytics + Data Visualization

Elevate your skills to become a SQL expert focusing on queries for real-world business logic challenges. Discover comprehensive learning with our SQL for Data Science, Data Analytics, and Data Visualization course using Azure Data Studio. Ideal for those aiming to excel in Business Intelligence, Data Science, and Database Management. Offere.

Udemy

Learn MySQL from scratch for Data Science and Analytics

Discover how to leverage MySQL Server RDBMS alongside Workbench to become a proficient SQL expert. Tackle real-world problems by mastering queries essential for your business logic. Join this comprehensive online course on Udemy and start your journey in data science and analytics.

Udemy

Business Analytics Online Class

Business Analytics Online Class - Udemy Elevate your data analysis skills with the Business Analytics Online Class offered by Udemy. This comprehensive course is designed to help you master the latest tools and techniques essential for uncovering valuable insights from complex data sets. Enhance your capabilities in areas such as mach.

Virtual: R for Data Analytics Corporate Training

Join our Virtual R for Data Analytics Corporate Training and transform your team's data handling skills. This course is designed to take you from the fundamentals of coding to building a portfolio of impressive projects that showcase your expertise. In today's digital landscape, data management is crucial. While many tools assist with data harness.

AWS Skill Builder

Digital Classroom - Practical Data Science with Amazon SageMaker

Artificial intelligence and machine learning (AI/ML) are now widespread, and this course immerses students in the daily life of a data scientist. You'll collaborate effectively with data scientists and develop applications that integrate with ML. Learn how data scientists create ML solutions on Amazon Web Services (AWS) using Amazon SageMaker. Expe.

University of Naples Federico II

Data-Driven Decision-Making for Agile Organizations

Join this transformative course series to master data-driven decision-making for agile organizations. Designed specifically for managers, team leaders, and decision-makers, this program equips you with essential skills to harness data for rapid and informed decisions, irrespective of the technological tools available. Throughout the course, you.

edX

Data Science For Business Professionals

In today’s fast-paced digital economy, data is at the heart of every decision, making Data Science one of the most in-demand fields. Whether you are looking to enter the field of Data Science, improve your business analysis skills, or apply Machine Learning techniques to solve business challenges, this course will provide you with the essential.

Coursera

GenAI for Financial Data Analysis

Dive into the world of Generative AI (GEN AI) and its remarkable impact on financial data analysis. This course offers hands-on exploration into how AI tools such as Microsoft Co-Pilot, ChatGPT, Datarobot, and Chartpixel are revolutionizing financial analytics. Designed for those with a foundational understanding of financial data and AI, t.

Udemy

Machine Learning Product Management: A Practical Guide

Embark on a dynamic career path in Machine Learning Product Management with our dedicated course on Udemy. This practical guide is designed to equip you with essential skills to excel in fields such as Artificial Intelligence, Data Science, and Product Management. Delve into specialized areas including Data Transformation, Model Evaluation, M.

1 ... 5 6 7 8 9 ... 49

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 Analytics Certificate

SQL for Data Science + Data Analytics + Data Visualization

Learn MySQL from scratch for Data Science and Analytics

Business Analytics Online Class

Virtual: R for Data Analytics Corporate Training

Digital Classroom - Practical Data Science with Amazon SageMaker

Data-Driven Decision-Making for Agile Organizations

Data Science For Business Professionals

GenAI for Financial Data Analysis

Machine Learning Product Management: A Practical Guide

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?