Learning Data Science: Understanding the Basics

Learning Data Science: Understanding the Basics

Learning Data Science: Understanding the Basics is an Beginner level tutorial on Business, created by the author, Doug Rose. This tutorial is an essential foundation for anyone who needs to excel in his/her Business skills. It provides you a strong understanding on Business, Business Intelligence, Big Data, Developer, IT, Web, Data Analysis, Databases, Business, Business Intelligence, Big Data, Developer, IT, Web, Data Analysis and Databases.

Free Download - Learning Data Science: Understanding the Basics
Author Doug Rose
Publish Date 11/16/2016
Skill Beginner
Duration 1h 16m
Topic Big Data
Video Tutorials 19
Last Update N/A

Many of the people who work on data science teams won’t be data scientists. They’ll be the managers and associates who want to gain real business value from your organization’s data. These team members need to understand the language of data science so they can ask better questions, understand processes, and help effectively lead their teams and organizations to making better data-driven decisions. This course is an introduction to data science for people who aren’t planning on being full-time data scientists. It introduces big data concepts, tools, and techniques, including gathering and sorting data, working with databases, understanding structured and unstructured data types, and applying statistical analysis. Business coach and author Doug Rose helps you speak the language of data science so that you can guide your organization through the opportunities and limitations in this dramatically growing field.

Topics include:

  • What is data science?
  • Making connections with relationship databases
  • Importing data into warehouses
  • Recognizing different data types
  • Applying statistical analysis
  • Focusing on knowledge

Learning Data Science: Understanding the Basics : Video Lessons

  • Welcome1m 34s
  • Define a multidisciplinary practice with multiple meanings3m 41s
  • Use statistics and software4m 18s
  • Uncover insights and create knowledge4m 6s
  • Make connections with relational databases3m 22s
  • Get data into warehouses using ETL4m 14s
  • Let go of the past with NoSQL4m 21s
  • Address big data problems4m 40s
  • Keep things simple with structured data4m 53s
  • Share semistructured data4m 22s
  • Collect unstructured data4m 42s
  • Sift through big garbage4m 2s
  • Start out with descriptive statistics4m 36s
  • Understand probability4m 27s
  • Find a correlation4m 36s
  • See how correlation does not imply causation4m 15s
  • Comb techniques for predictive analytics4m 31s
  • Focus on knowledge4m 43s
  • Next steps56s

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