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Data Science Courses

930 Courses

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California Institute of Technology YouTube

Accelerating Data and AI with Spice.ai Open-Source Software

Discover how Spice.ai's open-source software accelerates data and AI development, exploring innovative approaches to streamline machine learning workflows and enhance database integration.
provider YouTube
pricing Free Video
duration 1 hour 6 minutes
sessions On-Demand
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California Institute of Technology Vanderbilt University

From Data to Decisions: Getting Started with AI

Gain insights into leveraging generative AI for data analysis, from structuring research questions to identifying variables and generating meaningful insights for better decision-making.
provider Coursera
pricing Free Online Course (Audit)
duration 4 hours 6 minutes
sessions On-Demand
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California Institute of Technology Vanderbilt University

From Data to Decisions: Finding Patterns with AI

Discover how to leverage AI tools for creating data visualizations, conducting statistical analyses, and generating clear explanations of patterns and relationships in your data.
provider Coursera
pricing Free Online Course (Audit)
duration 4 hours 47 minutes
sessions On-Demand
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California Institute of Technology Vanderbilt University

From Data to Decisions: Making Predictions with AI

Master predictive analytics using AI tools to run regression models, interpret statistical outputs, and transform raw data into actionable business insights and accurate forecasts.
provider Coursera
pricing Free Online Course (Audit)
duration 1 hour 45 minutes
sessions On-Demand
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California Institute of Technology YouTube

Generative AI for Social Media Content Categorization - From Theory to Production

Discover how to combine RAG & LLMs for scalable YouTube channel categorization, with practical examples, production insights, and live demonstrations of AI-powered content analysis.
provider YouTube
pricing Free Video
duration 1 hour
sessions On-Demand
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California Institute of Technology YouTube

Navigating the Nuances of AI and ML Product Management

Discover the unique challenges and strategies of AI/ML product management, from data handling to ethical considerations, cross-functional collaboration, and user-centric design principles.
provider YouTube
pricing Free Video
duration 56 minutes
sessions On-Demand
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California Institute of Technology YouTube

Let's Adopt Generative AI in Enterprise - Best Practices and Challenges

Gain insights into enterprise AI adoption strategies, challenges, and best practices through PagerDuty's journey implementing generative AI technologies across teams and infrastructure.
provider YouTube
pricing Free Video
duration 36 minutes
sessions On-Demand
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California Institute of Technology YouTube

Evolving Storage Solutions for AI/ML Performance and Scale

Discover how Samsung's innovative object storage solutions and DSS stack optimize AI/ML workloads, enabling unprecedented performance and scalability for machine learning applications.
provider YouTube
pricing Free Video
duration 36 minutes
sessions On-Demand
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California Institute of Technology YouTube

Many Faces of Real-time Analytics: A Guide to System Classification and Implementation

Explore real-time analytics systems classification, characteristics, and technology choices for implementing different analytical solutions in production environments.
provider YouTube
pricing Free Video
duration 33 minutes
sessions On-Demand
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California Institute of Technology YouTube

Preventing Toxicity and Unconscious Biases Using Large Language and Deep Learning Models

Discover how large language models and BERT transformers can detect and prevent unconscious biases in AI systems, achieving 98.7% accuracy across diverse data sources and cultural contexts.
provider YouTube
pricing Free Video
duration 40 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!