Roadmap for Grad School

Using this Roadmap to methodically build the foundations to succeed in a data science gradschool program

Math Track

1. Foundational Concepts
   • Khan Academy - College Algebra
2. Preparation for Advanced Math
   • Khan Academy - Pre-Calculus
3. Linear Algebra (Concepts & Applications)
   • Khan Academy - Linear Algebra
   • 3Blue1Brown - Essence of Linear Algebra (Highly visual & intuitive supplement)
4. Probability & Statistics
   • Khan Academy - Probability & Statistics
   • 3Blue1Brown - Probability
5. Calculus (Building Computational Skills)
   • Khan Academy - Calculus 1
   • 3Blue1Brown - Essence of Calculus (Visual introduction to derivatives and integrals.)
   • Khan Academy - Calculus 2
6. Multivariable Calculus (Higher-Dimensional Analysis)
   • Khan Academy - Multivariable Calculus
   • 3Blue1Brown - Vector Calculus (Visual breakdown of gradients, divergence, curl, and integrals over surfaces.)

Python Track

• Solving Datacamp Projects
• Solving Mathematical Problems with Project Euler

Data Journalism Track

• Hacks, Leaks and Revelations