Learn on the user-friendliest coding platform. Concepts, data sets, and tasks all in one workspace.
Move as fast as you want and break things. Instantly run your code to visualize what you’ve made. Unlimited time and space to play.
Line-by-line code review
Level up with feedback from real data scientists. Practicing professionals will dive into your code and make sure you’re learning what you need to grow and develop.
⭐ It’s important to look not just at the amount of missing values in every column, but at the percentage of missing values in column, this can be done by slightly changing your code, for example like this: data.isnull().sum()*100/len(data)
Mia Murray
Code reviewer
16 portfolio projects
Work on real-world projects with real data from day one. Learn business analytics, product science, and machine learning. Apply your skills to business-relevant problems in banking, retail, ride-share, adtech, telecom, and insurance.
Take the big step—with our help
Moving up into data science is a challenge, so we put in the support to make sure you reach your goals. We’ll cheer you on, provide advice, and help with coding tasks.
Numerical Methods
Data Preprocessing
Supervised Learning
Machine Learning in Business
Computer vision
Linear algebra
We have your back
Experienced Tutors
Teach you skills
Code Reviewers
Give you feedback
Tech Support
Set up and maintain your tools
Career Coaches
Get you hired
Senior Students
Share experience and wisdom
Community Managers
Guide you through the program
Let's get you a job you will enjoy
Externships
All students take on externships—real-life projects at actual companies. We call these “Apiary projects." Boost your LinkedIn profile and impress your future employers with relevant projects and reviews from a real company.
Allcorrrect Games company wanted a way to sort user reviews. Result: Our student created a review-classifying Python script running off a pre-trained model.
Scentbird company wanted to predict customer LTV from user behavior on their website. Result: A running ML model that predicts the customer's LTV.
Bibliosphere company wanted to get info about people and books in 1000+ cities around the world. Result: It got a fully-documented cross-validation model.
Build a professional brand and find a great job>>>with weekly one-on-one career coaching >>
Free career coaching included
valued at $4000
Support beyond graduation
We'll stay in touch during your first two months of employment to make sure you're confident in your new position.
Build a portfolio to attract recruiters and impress at interviews. Learn how to smash through test tasks. We’ll help you get your worth in the industry.
Career development course
4+ free hours of mock interviews will give you the confidence to ace a real one
Rated 4.8 out of 5 600+ reviews
It's a growing industry, there's so much room for innovation, and that's really what I want: to innovate within the data science industry, because I think there are so many ways we can take what we've learned at Practicum and apply it to so many fields.
Ryan Elmachtoub
Decision Analytics associate consultant at ZS
Former Mechanical Engineer
It was like playing with Legos and building up things. The most motivating thing was the feeling of accomplishment when I finished something. Even if it took hours.
Pedro Giestas Gomes
Data Analyst at GEFCO
Worked in Consulting
Worked in Tourism Sales
Associate Data Scientist at Spotify
Rachelle Perez
Somehow I feel like we are part of a group trying to achieve something together despite working individually, helping each other when needed and celebrating each other’s win.
Former Business Development Manager
Senior Director of Technical Operations at Remind
Makenzie Wells
The projects are modeled from real-world scenarios, which made them quite interesting to work on and solve.
Worked in Engineering
Senior Data Analyst at Pendo.io
Jackie Lu
At Practicum I was glad to have resource to the career program, where students review each other’s resumes and provide moral support.
Former Petroleum engineer
ML engineer at Leidos
Chukwuemeka Okoli
My favorite part of the program is the project and code review. At the end when your project is approved, there is that satisfaction that comes from achieving a feat.
Python is a highly popular programming language, widely used in data applications, and statistics is the mathematical field underpinning Data Science. In this module we introduce both, and focus on Python as it is applied to statistics and data analysis.
Python and Software Engineering for Data Science
12 weeks
240 hours
Python
Matplotlib
Pandas
Jupyter Notebook
SQL
Program
Python and Software Engineering for Data Science
12 weeks
Machine Learning
8 weeks
Neural Networks and Advanced Techniques + Final Project
14 weeks
PySpark
This module introduces Machine Learning, covers supervised learning (including regression and classification models), and discusses how to explain Machine Learning and apply it in practical business situations.
Machine Learning
8 weeks
160 hours
Scikit-learn
Program
Python and Software Engineering for Data Science
12 weeks
Machine Learning
8 weeks
Neural Networks and Advanced Techniques + Final Project
14 weeks
In this module we cover Time Series (handling data with a time dimension), Unsupervised Learning, Natural Language Processing, and Neural Networks applied to Computer Vision and more.
Neural Networks and Advanced Techniques + Final Project
14 weeks
280 hours
Keras
Program
Python and Software Engineering for Data Science
12 weeks
Machine Learning
8 weeks
Neural Networks and Advanced Techniques + Final Project
14 weeks
+ Externships
+ Career Prep Course
+ Career Acceleration
5–6 weeks
10–20 hours
up to 6 month
You'll gain confidence in solving work tasks that use a real company's data to provide them with valuable insights. Learn to communicate with clients, meet their expectations, exchange peer reviews with colleagues, and present results to the company.
Prepare to rock your job search with our built-in career prep lessons. You'll learn how to tailor your resume and cover letter for tech jobs, how to ace job interviews, and much more.
Learn the skill of successful job-hunting. Prepare for interviews with help from an HR professional. Develop a job search strategy and get every piece of your professional presentation pitch-perfect.
Only available to students eligible to work in the US.
We offer__the best value for your money
We’ve created this table to help you compare a lot of bootcamps and make a decision
Practicum
Thinkful
BloomTech
CodingDojo
Monthly price
$1,800
$2,000
$7,317
from $1,500
Employment rate
86%
62%
74%
83%
Own coding platform
Yes
No
No
No
Median graduate salary
$89,300
$75,690
$62,000
$69,478
Current info on competitor landing pages as of 8.12.2022
Join a 9-month bootcamp. Learn online with a flexible schedule and a convenient payment scheme.
The lowest possible option is $393/month for a 36-month loan for a Top Tier student (lowest APR). It would be $14,135 in total. Your exact option we could get after applying to Meritize.
$14,135 in total
from $393/month
Learn now, pay later
Start repayment 3 months after graduation with Meritize. No enrollment fee. Other repayment options and financing partners available.
$16,200 in total
$1,800/month
Pay in 9 monthly installments.
Monthly
save 23% over Monthly
$16,200
$12,500
Get the best deal by paying up front.
Upfront
$18,750 in total
Pay a one-time enrollment fee of $1,600 to start the bootcamp. Graduate from the bootcamp. Get hired in your industry, with a gross salary of at least $50,000 per year or $4,100 per month. Earn at that level for at least 3 consecutive months. Begin making affordable monthly payments over a term of 20 months.