Be a Citizen Data Scientist - Aspire, Inspire, Become!
5.0 (1 rating)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
3 students enrolled

Be a Citizen Data Scientist - Aspire, Inspire, Become!

You Too Can be a Citizen Data Scientist – No Matter Your Role, Skill or Job Function
New
5.0 (1 rating)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
3 students enrolled
Created by Susan Obijiski
Last updated 6/2020
English
English [Auto]
Current price: $18.99 Original price: $29.99 Discount: 37% off
2 days left at this price!
30-Day Money-Back Guarantee
This course includes
  • 1.5 hours on-demand video
  • 12 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • 1. Explain the Citizen Data Scientist Concept and its Benefits
  • 2. Discuss and Use Analytical Concepts and Techniques Including Predictive Analytics Algorithms
  • 3. Review and Create Business Use Cases to Improve Insights and Decisions. Map day-to-Day Business Functions and Challenges to Predictive Analytics Use Cases Including Customer Churn Analysis or Predictive Machine Maintenance
  • 4. Leverage Smarten Augmented Analytics Tools
  • 5. Collaborate with Team Members, IT and Management to Plan for Citizen Data Scientist Initiative
  • 6. Champion Citizen Data Scientist Initiative
  • 7. Begin the Citizen Data Scientist Journey within their Enterprise
Requirements
  • No prerequisite courses - Students should be business users with a curiosity and interest in learning new things and in learning how to use data to make decisions. Students should be business users who wish to be role models and champions of fact-based decision-making.
Description

Citizen Data Scientists - The Future of Your Business

This course will enable the student to:

1) Explain the Citizen Data Scientist Concept and its Benefits

2) Discuss and Use Analytical Concepts and Techniques Including Predictive Analytics Algorithms

3) Plan and execute business Use Cases to analyze business issues and capitalize on opportunities

4) Leverage Smarten Augmented Analytics Tools

5) Collaborate with Team Members, IT and Management to Plan for Citizen Data Scientist Initiative

6) Champion Citizen Data Scientist Initiative,

7) Begin the Citizen Data Scientist Journey within their Enterprise

Who this course is for:
  • Business technology users and team members within a business environment. A person who is respected within the organization, and often shares data and information with other users to collaborate and produce outcomes that are designed to achieve goals and objectives and produce a successful outcome. May be ‘power users’ of business applications and may have developed and reported or presented data to others with an eye toward clarifying their decision-making. May also be IT team members who is interested in data science. Candidates are uniquely curious, interested in data analytics and devoted to fact-based decisions and team collaboration.
Course content
Expand all 12 lectures 01:44:05
+ Defintion and Profile of Citizen Data Scientist
1 lecture 04:12
Section 2 - Defintion and Profile of Citizen Data Scientist
04:12
+ Section 3 - Benefits of Citizen Data Scientist
1 lecture 06:33
Section 3 - Benefits of Citizen Data Scientist
06:33
+ Analytical Roles and Processes
1 lecture 07:42
Section 4 - Analytical Roles and Processes
07:42
+ What is Predictive Analytics
1 lecture 01:30
Section 5 - What is Predictive Analytics
01:30
+ Machine Learning
1 lecture 02:18
Section 6 - Machine Learning
02:18
+ Analytical Techniques - Part 1
1 lecture 09:20
Section 7 - Analytical Techniques - Part 1
09:20
+ Analytical Techniques - Part 2
1 lecture 13:58
Section 8 - Analytical Techniques - Part 2
13:58
+ Analytical Techniques - Part 3
1 lecture 18:49
Section 9 - Analytical Techniques - Part 3
18:49
+ Predictive Analytics Use Cases
1 lecture 18:40
Section 10 - Predictive Analytics Use Cases
18:40