Intro to Analytic Thinking, Data Science, and Data Mining

3.98

Updated on

Course overview

Provider
Coursera
Course type
Free online course
Level
Intermediate
Deadline
Flexible
Duration
7 hours
Certificate
Paid Certificate Available
Course author
Dursun Delen
  • The knowledge and skills needed to work in the data science profession

  • How data science is used to solve business problems

  • The benefits of using the cross-industry standard process for data mining (CRISP-DM)

Description

Welcome to Introduction to Analytic Thinking, Data Science, and Data Mining. In this course, we will begin with an exploration of the field and profession of data science with a focus on the skills and ethical considerations required when working with data. We will review the types of business problems data science can solve and discuss the application of the CRISP-DM process to data mining efforts. A brief overview of Descriptive, Predictive, and Prescriptive Analytics will be provided, and we will conclude the course with an exploratory activity to learn more about the tools and resources you might find in a data science toolkit.

Similar courses

Foundations: Data, Data, Everywhere
  • Flexible deadline
  • 20 hours
  • Certificate
Ask Questions to Make Data-Driven Decisions
  • Flexible deadline
  • 18 hours
  • Certificate
Introduction to Statistics
  • Flexible deadline
  • 15 hours
  • Certificate
Intro to Analytic Thinking, Data Science, and Data Mining
  • English language

  • Recommended provider

  • Certificate available