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Data Science Courses

914 Courses

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California Institute of Technology Johns Hopkins University

Practical Methodology and Ethics in AI

Master practical AI methodologies while exploring ethical considerations, from model training to deployment, with emphasis on bias detection, probabilistic approaches, and creating responsible AI solutions.
provider Coursera
pricing Free Online Course (Audit)
duration 6 hours 56 minutes
sessions On-Demand
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California Institute of Technology Udemy

End to End Data Science Practicum with Knime

Applied Data Science Concepts and Techniques with Knime and hands on examples
provider Udemy
pricing Paid Course
duration 9 hours 13 minutes
sessions On-Demand
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California Institute of Technology Udemy

Excel for Mac 3: Pivot Tables Intro & Masterclass

Create data analysis in Excel using Pivot Tables with just a few clicks, together with summary Pivot Charts. Exam 70-779
provider Udemy
pricing Paid Course
duration 5 hours 46 minutes
sessions On-Demand
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California Institute of Technology Udemy

Microsoft Power Pivot (Excel) and SSAS (Tabular DAX model)

Visualise Data in Power Pivot for Excel or SSAS with DAX. 70-779, 70-768 exams. Business Intelligence PowerPivot tool.
provider Udemy
pricing Paid Course
duration 5 hours 30 minutes
sessions On-Demand
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California Institute of Technology Udemy

Tableau 10 and Tableau 9.3 Desktop, Server & Data Science

Learn the science & art behind creating powerful reports, dashboards to solve amazing & difficult business problems
provider Udemy
pricing Paid Course
duration 1 day 22 hours 27 minutes
sessions On-Demand
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California Institute of Technology Udemy

Tableau Interview Q&A: Tableau For Data Science Careers

Tableau Interview Questions To Maximize Your Chances Of Getting A Data Analytics Or Tableau Developer Or Analyst Job
provider Udemy
pricing Paid Course
duration 2 hours 37 minutes
sessions On-Demand
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California Institute of Technology Udemy

Excel in Microsoft Excel 3: Pivot Tables Intro & Masterclass

Create data analysis in Excel using Pivot Tables with just a few clicks, together with summary Pivot Charts. Exam 70-779
provider Udemy
pricing Paid Course
duration 5 hours 57 minutes
sessions On-Demand
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California Institute of Technology YouTube

Mapping Fireline Intensity: Understanding Bushfire Risk to Australian Properties

Explore Australian bushfire risk assessment using Fireline Intensity data, with practical demonstrations across key locations and insights into processing geographic data for property protection.
provider YouTube
pricing Free Video
duration 19 minutes
sessions On-Demand
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California Institute of Technology YouTube

Can We Live with AI? - Understanding Human-AI Coexistence

Explore the complex relationship between AI and humanity in this thought-provoking discussion examining AI's impact, limitations, and the path to harmonious coexistence with intelligent systems.
provider YouTube
pricing Free Video
duration 1 hour 33 minutes
sessions On-Demand
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California Institute of Technology YouTube

An Overview of Entropy-Regularized Optimal Transport and Schrödinger Bridges

Delve into entropy-regularized optimal transport theory and Schrödinger bridges, exploring applications in statistics, data science, and generative AI, with insights from physics, stochastic processes, and PDEs.
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!