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Building a career in data science - Coggle Diagram
Building a career in data science
When your data science project fails
Why data science projects fail?
The data isn't what you wanted
getting samples of data before starting a project(early go/no go step
Find a viable substitute
Start a separate project to begin collecting better data
The data doesn't have a signal
Reframe the problem
Change the data source
Start from simple method to detect signal and not start with complex time consuming modeling.
The customer didn't end up wanting it
Managing risk
Building a portfolio
Creating a project
Finding the data and asking a question
Kaggle.com
For learning purpose
Datasets in the news
fivethirtyeight.com
APIs
The New York times, Yelp,Twitter
Government open data
CSV files or pdf files
Your own data
physical activity, reading list, budget, sleep...
Quite unique
Web scraping
What makes side project interesting?
Exploratory Analysis and visualization skills
Expand someone's analysis after Google your question
Choosing a direction
Improving/editing/supplementing
To be continued
Showing what went wrong is valuable
Filling out a Github README
What is the project?
How is the repository organized
Project ideas :star:
Library books insights
Learning and Growing References
Books
https://www.acethedatascienceinterview.com/best-books-for-data-analysts
https://www.acethedatascienceinterview.com/best-books-for-data-scientists
Trustworthy online controlled experiments