How to Prepare for a Data Science Immersive Course

“How do you eat an elephant?”

Break it down

1. Assess your situation

2. Create a plan

3. Implement the plan

Simple, right?

Assess your Situation

What do I need to know?

  1. Topics that you plan to learn throughout your course.
  2. Topics that you want to explore and familiarize yourself with before the course.

Create a plan

Basics

  1. Basic Python
  2. Data Analysis with Pandas
  3. Statistics
  4. Linear algebra

Prioritize

Resources

Implement the plan

Schedule

Refine

Overwhelmed?

  • Start Small
  • Start Now
  • Be consistent
  • Adapt

--

--

--

Data scientist and classical musician based in Raleigh, NC.

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

RFM Analysis

How I improved the accuracy of DengAI question using IterativeImputer()

Linear Regression

Time series as a regression bayesian model with TensorFlow Probability and ArviZ

How to use Multivariate Adaptive Regressive Splines (MARS) on tabular datasets

Takeaways from a classification course

What’s in a name?

The Best Data Visualization Solution

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Alex Fioto

Alex Fioto

Data scientist and classical musician based in Raleigh, NC.

More from Medium

7 techniques to become efficient learner

The Constant Battle between your Past, Present and Future.

Book recommendation: Atomic Habits

Learning how to learn