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Beginner Data Science: Candy Recommendations

Beginner Data Science: Candy Recommendations

NEW RELEASE

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:

"Find the 3 treats you'll give out on Halloween to guarantee that trick-or-treaters of all tastes find something they'll love."

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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