Data Literacy and Business Analytics for Business Leaders
- Descrição
- Currículo
- FAQ
- Revisões
Data need not be overwhelming. With fundamental data literacy skills, I will help you use data decision-making frameworks and statistics to create actionable business insights and presentations. Instead of being stuck, this course will help you become confident about data-driven decision-making. And, I will show you how to make simple, clear, and compelling data presentations by the end.
Do you feel confident in your ability to work with and analyze data? According to a recent survey by Business Intelligence tool Qlik, only 24% of people feel their data skills are up to par. The number drops to just 21% for younger people.
The course is designed to give you the skills, tools, and framework you need to become data literate and improve your data-driven decision-making skills. It is structured around the definition of data literacy: the ability to read, work with, and communicate using data.
In the Key Statistical Concepts section, we’ll cover the most common concepts that form the foundation of analytics tools used in businesses. After learning each concept, you’ll have the opportunity to apply what you’ve learned in a case study involving a pizza delivery business, using either Excel or Google Sheets.
The Analytics for Business section combines learning how to read and understand data with hands-on experience analyzing data. We’ll cover concepts and see how they can be applied to business, such as using probabilities for investment decisions.
The largest section of the course is dedicated to data-driven decision-making. We’ll learn the process and common pitfalls through case studies, and by the end of this section, you’ll be able to identify biases in arguments and distinguish between useful and misleading data.
Finally, in the Communicating with Data section, you’ll learn how to effectively communicate using data. We’ll cover the general principles of public speaking with data, creating visualizations, and addressing challenges. By mastering these three pillars, you’ll be able to deliver engaging and effective presentations using data.
The data revolution has already had a significant impact on businesses and it shows no signs of slowing down. Join me and become a part of this exciting movement!
-
1Introduction to the courseVídeo Aula
-
2What is Data Literacy?Vídeo Aula
-
3Why are Data Literacy and Analytics so important?Vídeo Aula
-
4CASE STUDY: The Monty Hall ProblemVídeo Aula
-
5Side note on course materialsTexto
-
6Course MaterialsVídeo Aula
-
7Link to course materialsTexto
-
8Diogo's Introduction and BackgroundVídeo Aula
-
9Game Plan to learn Key Statistical ConceptsVídeo Aula
-
10Types of VariablesVídeo Aula
-
11Variable TypesQuestionário
-
12Case Study Briefing - Dioguini's Pizza restaurantVídeo Aula
-
13MeanVídeo Aula
-
14EXERCISE: MeanVídeo Aula
-
15MedianVídeo Aula
-
16EXERCISE: MedianVídeo Aula
-
17ModeVídeo Aula
-
18EXERCISE: ModeVídeo Aula
-
19Standard DeviationVídeo Aula
-
20EXERCISE: Standard DeviationVídeo Aula
-
21CorrelationVídeo Aula
-
22EXERCISE: CorrelationVídeo Aula
-
23Normal DistributionVídeo Aula
-
24EXERCISE: Normal DistributionVídeo Aula
-
25What is Data Analytics?Vídeo Aula
-
26Game Plan on how to apply Analytics for Business sectionVídeo Aula
-
27Law of Large NumbersVídeo Aula
-
28Tip from Diogo: Law of Large Numbers Interview questionVídeo Aula
-
29ProbabilitiesVídeo Aula
-
30EXERCISE: Decision Trees and Investment DecisionsVídeo Aula
-
31Statistical SignificanceVídeo Aula
-
32CASE STUDY: Pfizer and Publication BiasVídeo Aula
-
33A/B TestingVídeo Aula
-
34CASE STUDY: Booking.com Experimentation CultureVídeo Aula
-
35Will you help me?Vídeo Aula
-
36Your feedback is valuableTexto
-
37Game Plan to become a master Data-Driven Decision-MakerVídeo Aula
-
38Data-Driven Decision-Making ProcessVídeo Aula
-
39Problem DefinitionVídeo Aula
-
40Acquiring the Data - Censorship BiasVídeo Aula
-
41Acquiring the Data - Simpson's ParadoxVídeo Aula
-
42Acquiring the Data - BI toolsVídeo Aula
-
43AnalyzeVídeo Aula
-
44ChallengeVídeo Aula
-
45Omitted Variable BiasVídeo Aula
-
46Correlation is not CausationVídeo Aula
-
47Mutual Causality BiasVídeo Aula
-
48Self-Selection BiasVídeo Aula
-
49Confirmation BiasVídeo Aula
-
50DecideVídeo Aula
-
51IterateVídeo Aula
-
52Game Plan to become a better Public Speaker using DataVídeo Aula
-
53Key Principles of Communicating with DataVídeo Aula
-
54How to not make terrible visualizations?Vídeo Aula
-
55How to face challenges?Vídeo Aula
-
56FINAL PROJECT: Data Villains BriefingVídeo Aula
-
57FINAL PROJECT: Data VillainsTexto
-
58End of Course FeedbackTexto
