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Data Analytics for Business Professionals 

  • Offered byLinkedin Learning

Data Analytics for Business Professionals
 at 
Linkedin Learning 
Overview

Data analytics can help cut costs, speed up delivery, generate forecasts, and improve outcomes for your business over time

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
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Data Analytics for Business Professionals
 at 
Linkedin Learning 
Course details

More about this course
  • 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

Faculty Icon

Data Analytics for Business Professionals
 at 
Linkedin Learning 
Faculty details

John H. Johnson

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Data Analytics for Business Professionals
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Students Ratings & Reviews

5/5
Verified Icon1 Rating
A
Akhil Gupta
Data Analytics for Business Professionals
Offered by Linkedin Learning
5
Learning Experience: Basics, foundation and independent understanding of diff type, stages of process .
Faculty: Instructors taught well Curriculum was relevant and comprehensive
Course Support: No career support provided
Reviewed on 30 Apr 2022Read More
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Data Analytics for Business Professionals
 at 
Linkedin Learning 

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