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Beginner Data Science: Candy Recommendations

Beginner Data Science: Candy Recommendations

MAVEN CRASH COURSE

MAVEN CRASH COURSE

MAVEN CRASH COURSE

Beginner Data Science: Candy Recommendations

Beginner Data Science: Candy Recommendations

Beginner Data Science: Candy Recommendations

Alice Zhao

Python

15 min

Beginner

In this demo, we'll be walking step-by-step through how a data scientist would tackle the Maven Halloween Challenge to use data to find the perfect treats to give out on Halloween.

Using both machine learning in Python and data visualization in Tableau, we'll be walking through the following concepts:

Python:

  • Data science approach

  • Applying PCA

  • Creating a scatter plot with jitter

  • Exporting data

Tableau:

  • Importing data

  • Creating a scatter plot

  • Filtering the data

  • Identifying clusters

  • Making final recommendations

... all in 15 minutes!

Course Outline

Intro

00:00

Data science approach overview

00:39

Python: View the data

01:40

What is PCA?

03:41

Apply PCA

04:27

Create a scatter plot

06:30

Add jitter to the scatter plot

06:51

Export the data as a CSV file

10:22

Tableau: Open up the CSV file

10:36

Create a scatter plot

10:56

Filter the data

11:47

Identify clusters

12:58

Narrow down the recommendations

14:46

Outro

16:12

Course Outline

Intro

00:00

Data science approach overview

00:39

Python: View the data

01:40

What is PCA?

03:41

Apply PCA

04:27

Create a scatter plot

06:30

Add jitter to the scatter plot

06:51

Export the data as a CSV file

10:22

Tableau: Open up the CSV file

10:36

Create a scatter plot

10:56

Filter the data

11:47

Identify clusters

12:58

Narrow down the recommendations

14:46

Outro

16:12

Course Outline

Intro

00:00

Data science approach overview

00:39

Python: View the data

01:40

What is PCA?

03:41

Apply PCA

04:27

Create a scatter plot

06:30

Add jitter to the scatter plot

06:51

Export the data as a CSV file

10:22

Tableau: Open up the CSV file

10:36

Create a scatter plot

10:56

Filter the data

11:47

Identify clusters

12:58

Narrow down the recommendations

14:46

Outro

16:12

About your instructor

About your instructor

Alice Zhao

Lead Data Science Instructor

Alice Zhao is a seasoned data scientist and author of the book, SQL Pocket Guide, 4th Edition (O'Reilly). She has taught numerous courses in Python, SQL, and R as a data science instructor at Maven Analytics and Metis, and as a co-founder of Best Fit Analytics.

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