Data Science Courses

930 Courses

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Master Tableau 2025: Complete Guide to Data Visualization

Develop Advanced Visualizations, Real-World Projects, and Interactive Dashboards to Become a Tableau Maestro
provider Udemy
pricing Paid Course
duration 13 hours 57 minutes
sessions On-Demand
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Enabling Urban Intelligence by Harnessing Human Generated Spatial-Temporal Data

Discover how to leverage human-generated spatial-temporal data for urban analytics, exploring innovative approaches to transform city planning and decision-making through data-driven insights.
provider YouTube
pricing Free Video
duration 1 hour 2 minutes
sessions On-Demand
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Data Analytics for Project Management

Data Analytics for Project Management: Optimize Decisions, Mitigate Risks, Maximize Results and Master Visualization
provider Udemy
pricing Paid Course
duration 1 hour 2 minutes
sessions On-Demand
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From Basics to Advanced: Data Analysis Using ChatGPT

Unlock the Power of Generative AI: Simplify, Analyze, and Visualize Data Like Never Before
provider Udemy
pricing Paid Course
duration 4 hours 4 minutes
sessions On-Demand
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Communicate Effectively with Data Visualization

A smart guide on how to design clear and convincing charts that instantly deliver your message
provider Udemy
pricing Paid Course
duration 2 hours 13 minutes
sessions On-Demand
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AI Engineering Roadmap - Essential Skills and Career Guide for 2025

Master essential AI engineering skills from mathematics and machine learning to deep learning, LLMs, and ethical considerations - perfect for aspiring AI professionals seeking a comprehensive career roadmap.
provider freeCodeCamp
pricing Free Video
duration 55 minutes
sessions On-Demand
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Mastering RAG - Enhancing AI Applications with Retrieval-Augmented Generation

Master practical techniques for implementing Retrieval-Augmented Generation (RAG) in AI applications, from optimizing workflows to leveraging vector databases for enhanced context-aware responses.
provider YouTube
pricing Free Video
duration 1 hour 34 minutes
sessions On-Demand
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Data Analytics for Security in Pharmaceutical Launches

Discover how real-time analytics and predictive models drive successful pharmaceutical drug launches, with insights on KPIs, doctor segmentation, and infrastructure best practices through a Type 2 Diabetes case study.
provider YouTube
pricing Free Video
duration 13 minutes
sessions On-Demand
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Harnessing AI with Data, Innovation, and Regulation

Explore the intersection of AI technology with data management, innovative approaches, and regulatory frameworks in this concise examination of modern artificial intelligence.
provider YouTube
pricing Free Video
duration 14 minutes
sessions On-Demand
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Introduction to Artificial Intelligence and Machine Learning in Healthcare

Gain insights into artificial intelligence and machine learning fundamentals through a healthcare lens, exploring key concepts and applications in diagnostic cardiology.
provider YouTube
pricing Free Video
duration 28 minutes
sessions On-Demand

How to train in Data Science and become one from scratch?

A Data Scientist can find a job in any industry, from retail sales to nuclear physics. That is why such a specialist is sometimes called a master of big data. Data Scientist works at the intersection of 3 areas of knowledge: programming, statistics and machine learning.

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:

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?

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:

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!