Become A Business Data Scientist In 5 Days
"I literally started solving business problems with data science in 5 days after 12 months of struggling." Mark
300+ lines of R and Python code (See Step 1)
5 bonus trainings
2 frameworks
1 complete roadmap to avoid mistakes and start solving business problems with data science, TODAY.
Everything you need to avoid the 5 biggest mistakes data scientists make when solving business problems.
Written by Matt Dancho, the creator of Business Science—the ultimate data science course that has helped over 7,058+ data scientists and data science enthusiasts accelerate their careers.
"Amazing work @Matt Dancho. This is an MBA for Data Scientists!" Jonathan
Want to make sure How To Solve Business Problems With Data Science is “worth it” before you sign up?
Here's everything inside:
Mistake #1: Focusing too much on theory. Avoid the mistake that cost Matt a $130,000 Sales Analytics Manager position. (Bonus #1: Matt's Top 2 Advanced Data Science for Business Projects with 300+ lines of R and Python code)
Mistake #2: Shiny Object Syndrome (SOS). Fix the problem that cost Matt to completely waste 6 months on learning the wrong skills. (Bonus #2: Matt's Top 10 Business Concepts from his $50,000 MBA Degree)
Mistake #3: Not following a systematic data science process. Learn how Matt attacks every single data science project (and breaks the chains of imposter syndrome). (Framework 1: Matt's 8-Step Data Science Framework + Bonus #3: Matt's Data Science with R and Python Cheat Sheets)
Mistake #4: Not focusing on Production. How Matt took a struggling business from $3M/yr to $15,000,000 a year. (Bonus #4: Matt's Top 4 BEST Production Business Applications)
Mistake #5: Not using a Systematic Business Problem Solving Process. How Matt went from being fired by his first Fortune 500 client to making $347,639 in his first full year of data science consulting. (Framework 2: Matt's 7-Step Systematic Business Problem-Solving Framework + Bonus #5: How to Solve a $1,000,000 Business Problem)