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Data Science Courses

930 Courses

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California Institute of Technology YouTube

Enabling a Data-Driven Enterprise - Part 1

Discover strategies for building a data-driven organization, reducing AI bias, and fostering human-machine collaboration to drive innovation in enterprise settings.
provider YouTube
pricing Free Video
duration 36 minutes
sessions On-Demand
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California Institute of Technology YouTube

Machine Learning in One Health

Explore machine learning applications in One Health, addressing interconnected human, animal, and environmental health issues with Graham Taylor, a leading AI researcher and entrepreneur.
provider YouTube
pricing Free Video
duration 40 minutes
sessions On-Demand
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California Institute of Technology YouTube

Responsible AI: Principles and Practices for Ethical Machine Learning

Explore AI's impact on business strategy and innovation with insights from industry expert Kathryn Hume at TMLS2019.
provider YouTube
pricing Free Video
duration 26 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

MLOps Without Much Ops - Building Efficient Machine Learning Systems

Discover modern, no-nonsense data pipelines for efficient machine learning systems. Learn PaaS advantages and explore real-world applications with open-source code. Gain insights on ML's future for organizations of all sizes.
provider YouTube
pricing Free Video
duration 1 hour 22 minutes
sessions On-Demand
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California Institute of Technology YouTube

Introduction to TensorFlow - Hands-on Workshop

Explore TensorFlow through hands-on practice, completing an end-to-end tutorial to gain practical skills in building and deploying machine learning models.
provider YouTube
pricing Free Video
duration 2 hours 6 minutes
sessions On-Demand
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California Institute of Technology YouTube

Semantic Segmentation in Satellite Imagery

Explore advanced techniques in deep learning for image segmentation and object detection, focusing on practical applications in autonomous driving.
provider YouTube
pricing Free Video
duration 28 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Lessons From Fast Growing Companies in Adopting and Accelerating AI

Discover strategies for AI adoption in fast-growing companies. Learn how to capitalize on AI's potential, overcome challenges, and drive innovation and growth in startups and scale-ups.
provider YouTube
pricing Free Video
duration 22 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Machine Learning in One Health

Explore machine learning applications in One Health, integrating human, animal, and environmental health for holistic disease prevention and management.
provider YouTube
pricing Free Video
duration 55 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

TMLS 2019

Explore machine learning insights with industry experts Amit Jain and Ronaldo Felipe at TMLS 2019, gaining valuable knowledge and perspectives on cutting-edge ML developments.
provider YouTube
pricing Free Video
duration 25 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Using MLflow and Databricks to Deploy ML Models in Production

Explore MLflow and Databricks for production ML model deployment. Learn end-to-end management, model tracking, and deployment strategies, plus Databricks' Feature Store and AutoML.
provider YouTube
pricing Free Video
duration 58 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!