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And the few that are adapting are reaping the rewards.
Long gone are the days of 10+ person data science teams...
... Where it takes 15 months (if ever) to get projects deployed into the business.
And, with data science project success rates dwindling at 14%, it's no wonder why companies are "restructuring".
In 2023, companies are demanding leaner & meaner data science teams that can do more with less.
Enter The Business Scientist.
A Business Scientist is capable of:
Communicating with Business Stakeholders
Understanding Business Problems
Converting Business Problems into Data Science Projects
Building Business Solutions
And Deploying those business solutions
Those that can do this in under 90 days are getting 17% higher salaries.
Those that cannot are getting cut. Fired. And replaced.
Want to become irreplaceable?
Want to become unfireable?
Want to become valued?
Want companies to compete for you?
Want companies to pay you what you're worth?
Then it's simple...
Work on a real world project where you save $1,250,000 every year with Customer Lead Scoring (a massive problem for companies)
Build a Frontend Streamlit App that automates your analysis
Make a Production-Grade API Backend with FastAPI
Cost the Project (and build a persuasive argument)
Show Return ON Investment (A $1,200,000 ROI Savings)
Create Data Pipelines (using Pandas + Python Modules)
Build 100's of Python Machine Learning Models with Pycaret, Scikit Learn & H2O AutoML
Track all machine learning experiments with MLFlow
Build a Production Python Module to house the code for your models, API, & App
Add 150+ amazing skills to your job portfolio
Gain a interview-winning project that will help you beat your interview competition (and land you a job or get you a promotion)
Discover how to add machine learning & API skills to further your data science career.