Data Analytics for Business Professionals
Focused View
John Johnson
1:16:37
77 View
01.01-making_data_more_useful.mp4
01:27
01.02-what_you_should_know.mp4
01:00
02.01-business_leaders_and_data_analytics.mp4
02:27
02.02-introduction_to_wearone.mp4
01:17
02.03-types_of_data.mp4
01:50
02.04-case_study_one_performance_at_miami_locations.mp4
00:38
02.05-case_study_one_explanation.mp4
05:05
02.06-challenge_calculate_descriptives.mp4
00:24
02.07-solution_calculate_descriptives.mp4
04:07
03.01-predictive_analytics.mp4
02:14
03.02-challenge_make_predictions.mp4
00:29
03.03-solution_make_predictions.mp4
02:22
03.04-prescriptive_analytics.mp4
02:03
04.01-guidelines_for_formulating_questions.mp4
03:31
04.02-crafting_better_questions.mp4
01:01
04.03-case_study_two_what_is_the_right_question.mp4
02:36
04.04-role_of_business_acumen.mp4
01:39
05.01-data_collection_issues.mp4
02:22
05.02-case_study_three_unclean_data.mp4
00:38
05.03-case_study_three_explanation.mp4
02:57
05.04-data_fail_when_data_is_just_wrong.mp4
03:17
06.01-nature_of_averages.mp4
00:31
06.02-case_study_four_conversion_rates_and_benchmark.mp4
00:55
06.03-case_study_four_explanation.mp4
02:58
06.04-context_is_everything.mp4
01:12
07.01-pros_and_cons.mp4
02:33
07.02-case_study_five_social_media_survey.mp4
00:40
07.03-case_study_five_explanation.mp4
00:44
07.04-case_study_five_statistical_deep_dive.mp4
03:00
08.01-what_is_cherry-picking.mp4
02:34
08.02-case_study_six_revenue.mp4
01:02
08.03-case_study_six_explanation.mp4
02:44
09.01-hurricane_matthew.mp4
02:33
09.02-case_study_seven_forecasting_customer_complaints.mp4
01:23
09.03-case_study_seven_explanation.mp4
02:32
09.04-issues_to_consider.mp4
01:05
10.01-cause_and_effect.mp4
01:52
10.02-case_study_eight_boston_revenue.mp4
00:44
10.03-case_study_eight_explanation.mp4
02:45
10.04-causal_questions.mp4
00:37
11.01-next_steps.mp4
00:49
Description
What can data analytics do for your business? Take a lesson from companies like Xerox and UPS, with qualitative and quantitative examples along the way. Data analytics can help cut costs, speed up delivery, generate forecasts, and improve outcomes for your business over time. 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. Find out how to collect, clean, and aggregate data from different sources across your organization, and identify when data is flawed. 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.
More details
User Reviews
Rating
average 0
Focused display
Category
John Johnson
Instructor's CoursesJohn H. Johnson is CEO of Edgeworth Economics and co-founder of Edgeworth Analytics, a professional economist, statistician, expert witness, author, and speaker.
Through his leadership, Edgeworth Economics has become one of the world’s premier economic consulting firms. Dr. Johnson is known internationally for his ability to explain highly sophisticated concepts in a simple, straightforward manner and brings this skill to his consulting, writing, and speaking.
At Edgeworth, Dr. Johnson provides consulting and expert testimony for Fortune 100 clients, trade groups, and government agencies. In his litigation work, he guides companies and outside counsel on the appropriate use and interpretation of complex data sets, and has served as expert witness in some of today’s most high-stakes corporate lawsuits. On the business analytics side, Dr. Johnson helps companies translate their complex internal data sets into strategic, actionable information across a variety of business settings including human resources, finance, marketing, manufacturing, and business intelligence. Both aspects share the need to understand — and properly apply — large, complex sets of data. In his writing and speaking, he helps readers and audiences avoid the most common pitfalls people make when confronted with data, so they can become more confident and discerning consumers of data and make better decisions in their professional and personal lives.
Dr. Johnson is a frequent presenter on economic topics and the use of data, co-author of Everydata: The Misinformation Hidden in the Little Data You Consume Everyday, and has authored numerous papers across his areas of expertise.
Dr. Johnson received a PhD in Economics from the Massachusetts Institute of Technology and his BA in Economics with Highest Distinction from the University of Rochester.
Specialties: Antitrust, Class Certification, Cartels, Damages Analysis, Competition Policy, Labor, Wrongful Termination, Wage and Hours, Discrimination, Data Management, Pro Bono
Linkedin Learning
View courses Linkedin LearningLinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications.
It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
- language english
- Training sessions 41
- duration 1:16:37
- Release Date 2023/01/31
