What Is a Cognitive Map?
August 12, 2024
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This course is part of multiple programs.
Instructor: Brandi Robinson
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(290 reviews)
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Beginner level
No experience is needed.
(290 reviews)
Recommended experience
Beginner level
No experience is needed.
The basic principles of descriptive and inferential statistics
Use statistical analyses to make data-driven decisions
How to formulate and test hypotheses and take action based on the outcome
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This course takes a deep dive into the statistical foundation upon which data analytics is built. The first part of this course will help you to thoroughly understand your dataset and what the data actually means. Then, it will go into sampling including how to ask specific questions about your data and how to conduct analysis to answer those questions.
Many of the mistakes made by data analysts today are due to a lack of understanding the concepts behind the tests they run, leading to incorrect tests or misinterpreting the results. This course is tailored to provide you with the necessary background knowledge to comprehend the "what" and "why" of your actions in a practical sense. By the end of this course you will be able to: • Understand the concept of dependent and independent variables • Identify variables to test • Understand the Null Hypothesis, P-Values, and their role in testing hypotheses • Formulate a hypothesis and align it to business goals • Identify actions based on hypothesis validation/invalidation • Explain Descriptive Statistics (mean, median, standard deviation, distribution) and their use cases • Understand basic concepts from Inferential Statistics • Explain the different levels of analytics (descriptive, predictive, prescriptive) in the context of marketing • Create basic statistical models for regression using data • Create time-series forecasts using historical data and basic statistical models • Understand the basic assumptions, use cases, and limitations of Linear Regression • Fit a linear regression model to a dataset and interpret the output using Tableau • Explain the difference between linear and multivariate regression • Run a segmentation (cluster) analysis • Describe the difference between observational methods and experiments This course is designed for people who want to learn the basics of descriptive and inferential statistics.
This week you’ll get an overview of the Statistics for Marketing course and you will learn the basics of Descriptive Statistics and when to use them. You will also be introduced to Bayesian statistics. You will also get an overview of your capstone project and at the end of the week you will complete part one.
20 videos7 readings4 assignments
This week you will be introduced to inferential statistics and how to define samples and populations for marketing. You’ll also be introduced to the concept of variables. At the end of the week you will complete part two of your capstone project.
14 videos4 readings5 assignments
In week three, you’ll dig into how to formulate and test appropriate hypotheses for your business goals. You’ll wrap up the week with part three of your capstone project.
16 videos5 readings4 assignments
This week you’ll be introduced to various model families and how to create them using Tableau. You’ll also learn how to interpret the results of these models. You’ll complete the fourth and final part of your capstone project.
19 videos5 readings6 assignments
This week you will combine and apply all the information you have learned throughout the course and finalize your capstone project. You’ll finish out the course by hearing from a marketing analyst about how they apply the principles you learned in this course in the real-world.
6 videos1 assignment1 discussion prompt
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Meta builds technologies that help people connect with friends and family, find communities, and grow businesses. The Meta Professional Certificates create opportunities so that anyone regardless of education, background or experience can learn high-quality skills to land a high-growth career—no degree or experience required to get started. Meta also offers training courses on the metaverse to educate people, brands, businesses and professionals on the opportunities it presents and what it means for our world today and into the future.
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Reviewed on Oct 4, 2023
Great teacher Camron Dodd. He explained every topic in this course with excellence. I suggest it to everybody who is interested in Data Analytics.
Reviewed on Jul 3, 2023
This is one of the best courses I have ever taken. Excellent communication and mode of delivery. Great content delivered in a systematic and efficient manner.
Reviewed on Oct 20, 2022
Just need to improve the quality of videos (clearity and resolution)
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