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Learning Data Science: Understanding the Basics

via LinkedIn Learning

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Overview

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Get an introduction to data science designed for people who aren't planning on being full-time data scientists. Learn the basics of gathering and analyzing big data.

Syllabus

Introduction
  • Welcome
1. What Is Data Science?
  • Define a multidisciplinary practice with multiple meanings
  • Use statistics and software
  • Uncover insights and create knowledge
2. Working with Databases
  • Make connections with relational databases
  • Get data into warehouses using ETL
  • Let go of the past with NoSQL
  • Address big data problems
3. Recognizing Different Data Types
  • Keep things simple with structured data
  • Share semistructured data
  • Collect unstructured data
  • Sift through big garbage
4. Applying Statistical Analysis
  • Start out with descriptive statistics
  • Understand probability
  • Find a correlation
  • See how correlation does not imply causation
  • Comb techniques for predictive analytics
5. Avoiding Pitfalls
  • Focus on knowledge
Conclusion
  • Next steps

Taught by

Doug Rose

Reviews

5.0 rating, based on 1 Class Central review

4.7 rating at LinkedIn Learning based on 2877 ratings

Start your review of Learning Data Science: Understanding the Basics

  • Anushka Mandlik
    This course is a great introduction to data science. The concepts are explained clearly and in a simple way, making it easy for beginners to understand. It helped me learn the basics of data science, its applications, and key terminology. I would recommend this course to anyone starting their data science journey.

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