Data Analytics for Business Professionals
- Offered byLinkedin Learning
Data Analytics for Business Professionals at Linkedin Learning Overview
Duration | 2 hours |
Total fee | ₹899 |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
Data Analytics for Business Professionals at Linkedin Learning Highlights
- Earn a certificate of completion from LinkedIn Learning
Data Analytics for Business Professionals at Linkedin Learning Course details
- In this introductory course, economist and author John Johnson shows you how to use analytics to make data-driven decisions and gain competitive advantage
- Explore examples of real-life analytics in action, distinguishing between predictive and prescriptive approaches, and learning how to formulate and pose your own questions
- John gives you pointers on planning and deploying an analytics strategy that fits the specific needs of your business, covering a variety of simple techniques: averages, sampling, cherry picking, forecasting, correlation, causality, and more
Data Analytics for Business Professionals at Linkedin Learning Curriculum
Introduction
Making data more useful
What you should know
Data Analytics in the Business World
Business leaders and data analytics
Introduction to WearOne
Types of data
Case study one: Performance at Miami locations
Case study one: Explanation
Challenge: Calculate descriptives
Solution: Calculate descriptives
Predictive and Prescriptive Analytics
Predictive analytics
Challenge: Make predictions
Solution: Make predictions
Prescriptive analytics
Asking the Right Question
Guidelines for formulating questions
Crafting better questions
Case study two: What is the right question?
Role of business acumen
Unlocking the Data Within
Data collection issues
Case study three: Unclean data
Case study three: Explanation
Data fail: When data is just wrong
Understanding Averages
Nature of averages
Case study four: Conversion rates and benchmark
Case study four: Explanation
Context is everything
Sampling
Pros and cons
Case study five: Social media survey
Case study five: Explanation
Case study five: Statistical deep dive
Data Analytics for Business Professionals at Linkedin Learning Faculty details
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