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Data Science Courses

930 Courses

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California Institute of Technology Coursera

Dynamic Dashboards with Tableau: Advanced Sales Analysis

Master dynamic dashboard creation in Tableau through hands-on retail sales analysis, focusing on LOD expressions and multi-level data visualization techniques for impactful business insights.
provider Coursera
pricing Paid Course
duration 1 hour 47 minutes
sessions On-Demand
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California Institute of Technology YouTube

Unlocking Self-Service Analytics for Smarter Decisions

Discover how data portals enable self-service analytics, enhance decision-making, and drive organizational efficiency through automated data access, visualization, and real-world implementation strategies.
provider YouTube
pricing Free Video
duration 16 minutes
sessions On-Demand
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California Institute of Technology YouTube

Real-Time Analytics in IIoT - Transforming Data Into Decisions

Explore real-time analytics in Industrial IoT, from architecture and communication layers to AI implementation, practical applications, and emerging trends in data-driven decision making.
provider YouTube
pricing Free Video
duration 29 minutes
sessions On-Demand
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California Institute of Technology Coursera

Data Analytics Foundations

Gain insights into data analytics fundamentals, from understanding raw data to creating impactful visualizations using spreadsheets. Learn structured approaches for analysis projects while exploring real-world datasets and leveraging LLMs.
provider Coursera
pricing Free Online Course (Audit)
duration 1 day 3 hours 11 minutes
sessions On-Demand
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California Institute of Technology edX

Mastering Generative AI for Data Science

This course helps you master generative AI skills to enhance data science workflows, improve data preparation, and refine machine learning models with real-world applications.
provider edX
pricing Free Online Course (Audit)
duration 3 weeks, 3-5 hours a week
sessions On-Demand
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California Institute of Technology Coursera

Data Validation with Alteryx: Testing and Optimization Tools

Master data validation techniques in Alteryx through hands-on practice with testing tools, error detection, data integrity checks, and workflow optimization for more reliable and user-friendly analytics processes.
provider Coursera
pricing Paid Course
duration 2 hours 5 minutes
sessions On-Demand
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California Institute of Technology Pluralsight

Introduction to Data Visualization for Data Analysts

Discover how to create high-impact data visualizations that reveal insights hidden in data using Excel, Power BI, and Tableau for effective data storytelling.
provider Pluralsight
pricing Free Trial Available
duration 32 minutes
sessions On-Demand
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California Institute of Technology Politecnico di Milano

Data, Algorithms, and Ethical Challenges: Exploring the AI Revolution in Medicine

Explore the AI revolution in medicine, examining data's role, applications, ethical challenges, and the transformation of healthcare systems.
provider Polimi OPEN KNOWLEDGE
pricing Free Certificate
duration 3 weeks
sessions On-Demand
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California Institute of Technology Coursera

DeepLearning.AI Data Analytics

Master in-demand data analytics skills with practical, real-world applications. Learn to manage the entire data lifecycle while integrating AI tools to accelerate workflows and extract meaningful insights for better decision-making.
provider Coursera
pricing Paid Course
duration Not Specified
sessions On-Demand
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California Institute of Technology YouTube

Computer Vision: How to Rotate and Crop Images

Master image manipulation techniques for cropping, rotating, and applying affine transformations in computer vision to improve framing and orientation of images.
provider YouTube
pricing Free Video
duration 32 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!