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Prep Course for Data Science Bootcamp

Get accepted into the Data Science Bootcamp


“For someone without any coding experience and years out from my last stats class, it was the perfect introduction into the world of Data Science”

Abe Waziri, Co Founder of Beatactive
Prep Course for Data Science Bootcamp Thinkful student

Start immediately

$500 for 3 weeks
Enroll now

Enroll today and meet with your mentor this week

  • Get an introduction to Programming in Python, Data Visualization, and Statistics to prepare you for the bootcamp
  • Students have 3 mentor sessions per week and will complete a customized capstone project
  • $500 payment will be applied toward tuition for the Data Science Bootcamp if you enroll after the prep course
  • As a student you will gain access to 30+ hours per week of mentor-led Q&A Sessions and Workshops, as well as Thinkful's Slack channel with our mentors and other students

Questions? Talk to Benjy today

Benjy, your Education Advisor, is ready to answer questions and discuss your goals.

Experience mentorship
Want to become a data scientist? Start here.

This course is a prerequisite for Thinkful's Data Science Bootcamp and will cover the data science fundamentals you will need to succeed. Working with a professional Data Scientist you'll learn the fundamentals of Programming in Python, Data Visualization, and Statistics. Every prep course student will work with a mentor 3 times per week for 3 weeks and we expect you to commit 20-25 hours to the course work. This prep course is a great way to learn the basics you'll need for the bootcamp and experience 1-on-1 mentorship firsthand, to determine if the program is a good fit for you.

Look inside the course
See what you’ll learn.

Unit 1 - Introductory programming in Python

Concepts covered

Data Types, Application Logic, Loops and lists, Dictionaries, Functions, Objects, Classes, Inheritance, Modules

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Project(s) you'll build

  • Extensive drills to master programming fundamentals

Unit 2: Introduction to Data Science Toolkit

Concepts covered

NumPy, Pandas, Data Visualization, matplotlib, Basic Plot and Scatter, Subplots, Statistical Plots

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Project(s) you'll build

  • Using your chosen data source, you will generate at least four different data visualizations using the learned concepts

Unit 3 - Statistics for Data Science

Concepts covered

Population vs sample, Central Tendency, Measures of Variance, Randomness, Sampling and Selection Bias, Independence and Dependence, Bayes’ Rule, Normal Distribution, Central Limit Theorem

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Project(s) you'll build

  • Drills to master statistics fundamentals
  • Solve the Monty Hall problem

Unit 4 - Career Planning and Capstone Report

Concepts covered

Career planning, Capstone

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Project(s) you'll build

  • Career Plan - Explore the variety of data science work being done, understand the skills companies are looking for, find your future professional community, and create a preliminary vision for your career
  • Prep Course Capstone - You will complete an Analytic Report and Research Proposal on a data set of your choosing

Start immediately

$500 for 3 weeks
Enroll now

Enroll today and meet with your mentor this week

Talk to an education advisor

Have any questions? Talk to Benjy.


Benjy Schechner, Education Advisor

If you have questions about pricing, scholarships, financing options, or just general inquiries about how Thinkful works – hit up Benjy. He's happy to assist you!

Schedule a call Email Benjy
Benjy Schechner, Education Advisor