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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
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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FOR INDIVIDUALS
Master modern data skills
Start learning for Free. No credit card required. Master skills in AI, Excel, Power BI, SQL, Python and more.

FOR COMPANIES & TEAMS
Train your team in data
Create your team account today, request a demo, or start with a team assessment today.
FOR INDIVIDUALS
Master modern data skills
Start learning for Free. No credit card required. Master skills in AI, Excel, Power BI, SQL, Python and more.

FOR COMPANIES & TEAMS
Train your team in data
Create your team account today, request a demo, or start with a team assessment today.
FOR INDIVIDUALS
Master modern data skills
Start learning for Free. No credit card required. Master skills in AI, Excel, Power BI, SQL, Python and more.

FOR COMPANIES & TEAMS
Train your team in data
Create your team account today, request a demo, or start with a team assessment today.
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