LinkedIn – Learning Data Science 2025-4

Learning Data Science is a data-driven decision-making course published by LinkedIn Online Academy. Using intuitive explanations and hands-on exercises, it guides learners through the entire data science lifecycle—from data collection and cleaning, through exploration and visualization, to building and deploying models. With a focus on theory and hands-on projects, this course is perfect for beginners looking for a comprehensive understanding of data science tools, techniques, and applications across industries.

This course covers the fundamentals of data science, including data types, statistical analysis, data wrangling, and exploratory data analysis using tools like Python, Pandas, and Matplotlib. Learners will be introduced to machine learning concepts like supervised and unsupervised learning, model evaluation, and algorithm selection. In this course, get an introduction to data science for those who don’t plan to work as a full-time data scientist. Explore big data concepts, tools, and techniques, including collecting and sorting data, working with databases, understanding structured and unstructured data types, applying statistical analysis, asking critical questions, and telling stories about data.

What you will learn in Learning Data Science:

• What is Data Science?
• Working with Databases
• Understanding Different Types of Data
• Statistical Analysis
• Critical Thinking
• Encouraging Questions
• Challenging Assumptions
• Telling Stories
• Engaging Audience
• Using Data Visuals
• Motivating Action
• And…

Course specifications

Publisher: LinkedIn
Instructors: Doug Rose
Language: English
Level: Intermediate
Number of Lessons: 50
Duration: 2h 45m

Course topics

Learning Data Science Prerequisites

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Pictures

Learning Data Science introduction video

Installation guide

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English subtitle

Quality: 720p

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Download – 491 MB

Size

491 MB