Data Analytics Bootcamp
7-month part-time online program for beginners
Data Analytics Bootcamp
7-month part-time online program for beginners
Learn to process and communicate data >> strategically
Build a portfolio of 13+ completed >>> projects sourced from real business cases
Find a high-paying job with 50 hours of career>>>support
Receive a 100% refund >> if you’re not employed as a data professional within 6 months of graduation
You don’t need a tech background
All you need
is love for
discovery
Skillset you’ll get
Machine learning basics
Building dashboards
Results presentation
A/B testing
Business analytics
Statistical hypothesis testing
Matplotlib
Sci-kit learn
Pandas
Python
Plotly
Dash
Seaborn
Tableau
Average data analyst
cccsalary: $65,000
Learn in a work-simulated environment
Interactive platform
Prepare for an engaging, capability-building experience. Our platform combines fundamental concepts, real-world data sets, and quizzes.

Experiment in our sandbox: Run any code, and don’t worry about making grave mistakes. In a sandbox, even the wildest experiments won’t cause any trouble.
Sprints
Week 1 — Theory + Practice
The learning process is divided into sprints, or two-to-three week long work intensive periods. Most tech companies work this way, so you will come prepared. Each sprint consists of interactive lessons and features a project with a deadline.
Week 2 — Work on project
Line-by-line code reviews
A professional data analyst will check each line of your code to make sure it works the way it's supposed to and conforms to industry best practices.
As a suggestion: instead of creating a variable raw and using row.iloc[O][-1], try to add column name to the first expression. Like df.loc[df.something == ‘smth’, ‘column_name’]
Mia Murray
Code reviewer
13 portfolio projects
From day one, you are going to solve real-life business cases. By the end of your program you’ll build a double-digit portfolio to demonstrate your applied skills in business analytics, product science, and even machine learning.
Study is challenging but we’ll help you
Learning a new profession can feel daunting — that’s why we dedicate hours of support to help you with your specific needs. We are here to cheer you on, provide advice, and help with coding tasks.
SQL
Business Analytics
Data Preprocessing
Basic Python
Automation
Numerical Methods
Never give up! You’re surrounded
Community Managers
Make group learning fun
Code Reviewers
Give you feedback
Tech Support
Get all the software you may need up and running
Career Coaches
Get you employed
Senior Students
Provide you guidance
Tutors
Teach you skills
Our job is to make sure you find a career you enjoy
Career Prep Course
Learn how to write a standout resume and a cover letter, create LinkedIn and GitHub profiles, make a professional portfolio, and other employment pro-tips.
Free career coaching included
valued at $4000
4+ free hours of mock interviews will give you the confidence to nail a real one
One-to-one sessions with a career coach to develop a job-search strategy
Career coaching
Support beyond graduation
We stay in touch during the first two months of employment, to make sure you are confident in your new position.
Externships
All students will take on externships at actual companies with real life projects, we call them “Apiary projects”. Boost your LinkedIn profile and impress your future employers with relevant projects, and reviews from a real company.
EezyLife company's task: identify vegetarian restaurants from Yelp text reviews.
Approach: chose an explainable method like aspect-based sentiment analysis.
Permit company's task: develop targeted online ads based on the types of permits requested, by the types of users, in the most customer's areas.

Approach: create fully interactive dashboards and provide some insights.

Norbu company's task: to offer ideas how to increase app’s Retention Rate.

Approach: explore users' behavior, consider the nature of the stress, certain relief activities and alternatives used in the past.
Join Practicum open house webinar
Prepare for an engaging learning experience. Our platform combines theory, real scenario tasks, and quizzes all in one place.
Get paid or be refunded
If you don’t get a job within six months of graduating Practicum, we will refund 100% of your tuition.
Read more in Terms of Use
4.8 out of 5 rating based on 330+ reviews
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.
Rachelle Perez
Associate Data Scientist at Spotify
Worked in Tourism Sales
I liked that there were real people and projects at Practicum, and that you had to finish projects in a certain amount of time.
Atajan Abdyyev
Data Analyst, Digital marketing at Vizion Interactive
Worked in CS
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.
Chukwuemeka Okoli
ML engineer at Leidos
Former Petroleum engineer
It doesn’t matter how hard a subject is, I will always find help. The real life projects are also a great foundation to have upon graduation, I can already show off what I accomplished on Github.
It’s just awesome to see that twelve projects (guided) are also completed within the duration of the original program. In a nutshell, theories, tasks, projects, community and platform all contributed to make the program outstanding.
Saumik Barua
In my search for a comprehensive, intensive, yet practical learning environment to develop and consolidate my skills, I found Practicum. I picked Practicum based on reviews, and I'm extremely glad with this decision.
Xia Cui
Major advantage is how its tutors, project reviewers, and community managers deal with students' questions. First, they are professionals with real-world experience in the field, and, second and most important, all explanations or articles recommended by them are straight to the point and accurate.
Mabelly Tuchsznajder
Mega Septiandara
Data Analyst at Capgemini
Former Researcher
Read all reviews on Career Karma, Course Report and Switchup
Program structure
Basic Python
3 weeks
Your introduction to the world of data science! Key concepts and basic syntax in Python. Loops, conditions, and functions. The pandas library for data analysis. Your first analytical case study, followed by your first project.
Data Preprocessing 
3 weeks
+1 project for your portfolio
Compensating for less-than-perfect data. Handling missing and duplicate values. Changing data types. Systems thinking for analysts.
Exploratory Data Analysis (EDA)
3 weeks
+1 project for your portfolio
Performing initial scans to detect patterns in data. Building basic graphs and generating your first hypotheses.
Statistical Data Analysis
3 weeks
+1 project for your portfolio
Probability theory, the most common distributions, and statistical methods in Python. Sampling and statistical significance. Identifying and handling anomalies.
Integrated Project 1
1 week
+1 project for your portfolio
Identify patterns to help you determine whether a given video game will be commercially successful or not.
Data Collection and Storage (SQL) 
2 weeks
+1 project for your portfolio
How databases are structured and how to pull data from them using SQL queries. Finding data online.
Business Analytics
2 weeks
+1 project for your portfolio
Applying data analysis in business. Business metrics and KPIs. User data analysis. Marketing analytics and related tools. The sales funnel.
Making Business Decisions Based on Data
2 weeks
+1 project for your portfolio
Methods and tools for testing hypotheses. Experimental design. Seasonality. Cohort analysis. A/B testing.
How to Tell a Story Using Data
2 weeks
+1 project for your portfolio
Presenting your research. Data visualization 
methods. Creating reports to explain findings. The seaborn library.
Integrated Project 2
1 week
+1 project for your portfolio
Bring together everything you’ve learned so far to analyze the results of a food app’s A/B test.
Automation
2 weeks
+1 project for your portfolio
Automating data analysis processes and scripting routine tasks. Data visualization methods. Presenting results.
Forecasts and Predictions
2 weeks
+1 project for your portfolio
Machine learning methods and applications. Classification, forecasting, clustering. Regression. Decision trees.
Final Project
2 weeks
+1 project for your portfolio
Apply everything you've learned in a two-week program that recreates the experience of working as a junior analyst.
Career Prep Course
2 weeks
This is a course devoted to preparing for life after Practicum. During this course, you will learn how to create a resume, a LinkedIn profile, and a GitHub account, along with improving networking and interviewing skills. This course is self-paced and ends with a final task. We’ll also perform a review of your career artifacts.
Career Acceleration Program
Up to 6 months after graduation
Prepare for real-world interviews and gain experience through authentic practice. This program is designed to help you find a real job and also provides some work with technical skills.

  • Attend mock interviews
  • Receive 1:1 career coaching
  • Write technical articles and demonstrate your knowledge
  • Produce demo videos of your work
  • Participate in extracurricular activities
  • Join the Slack community
*Only available for students with permission to work in the US.
Apiary Projects
5-6 weeks
2+ real projects for your portfolio
You'll gain confidence 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. The Apiary projects become available for participants sometime between the 8-10th Sprint, depending on the project. They are also available after graduation.

  • Assemble a portfolio project based on actual data
  • Get a recommendation on LinkedIn by a real company
  • Gain experience with freelance project workflow
Basic Python
3 weeks
Your introduction to the world of data science! Key concepts and basic syntax in Python. Loops, conditions, and functions. The pandas library for data analysis. Your first analytical case study, followed by your first project.
Data Preprocessing 
3 weeks
+1 project for your portfolio
Compensating for less-than-perfect data. Handling missing and duplicate values. Changing data types. Systems thinking for analysts.
Exploratory Data Analysis (EDA)
3 weeks
+1 project for your portfolio
Performing initial scans to detect patterns in data. Building basic graphs and generating your first hypotheses.
Statistical Data Analysis
3 weeks
+1 project for your portfolio
Probability theory, the most common distributions, and statistical methods in Python. Sampling and statistical significance. Identifying and handling anomalies.
Integrated Project 1
1 week
+1 project for your portfolio
Identify patterns to help you determine whether a given video game will be commercially successful or not.
Data Collection and Storage (SQL) 
2 weeks
+1 project for your portfolio
How databases are structured and how to pull data from them using SQL queries. Finding data online.
Business Analytics
2 weeks
+1 project for your portfolio
Applying data analysis in business. Business metrics and KPIs. User data analysis. Marketing analytics and related tools. The sales funnel.
Making Business Decisions Based on Data
2 weeks
+1 project for your portfolio
Methods and tools for testing hypotheses. Experimental design. Seasonality. Cohort analysis. A/B testing.
How to Tell a Story Using Data
2 weeks
+1 project for your portfolio
Presenting your research. Data visualization 
methods. Creating reports to explain findings. The seaborn library.
Integrated Project 2
1 week
+1 project for your portfolio
Bring together everything you’ve learned so far to analyze the results of a food app’s A/B test.
Automation
2 weeks
+1 project for your portfolio
Automating data analysis processes and scripting routine tasks. Data visualization methods. Presenting results.
Forecasts and Predictions
2 weeks
+1 project for your portfolio
Machine learning methods and applications. Classification, forecasting, clustering. Regression. Decision trees.
Final Project
2 weeks
+1 project for your portfolio
Apply everything you've learned in a two-week program that recreates the experience of working as a junior analyst.
Career Prep Course
2 weeks
This is a course devoted to preparing for life after Practicum. During this course, you will learn how to create a resume, a LinkedIn profile, and a GitHub account, along with improving networking and interviewing skills. This course is self-paced and ends with a final task. We’ll also perform a review of your career artifacts.
Career Acceleration Program
Up to 6 months after graduation
Prepare for real-world interviews and gain experience through authentic practice. This program is designed to help you find a real job and also provides some work with technical skills.

  • Attend mock interviews
  • Receive 1:1 career coaching
  • Write technical articles and demonstrate your knowledge
  • Produce demo videos of your work
  • Participate in extracurricular activities
  • Join the Slack community
*Only available for students with permission to work in the US.
Apiary Projects
5-6 weeks
2+ real projects for your portfolio
You'll gain confidence 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. The Apiary projects become available for participants sometime between the 8-10th Sprint, depending on the project. They are also available after graduation.

  • Assemble a portfolio project based on actual data
  • Get a recommendation on LinkedIn by a real company
  • Gain experience with freelance project workflow
Take advantage of our
limited-time __ Back to School offer!
Kickstart your new career with 30% off
Tuition
Join a 7-month bootcamp. Learn online with a flexible schedule and a convenient payment scheme.
Pay all at once and save $2,070.
Upfront
Pay in monthly installments.
Loan
Get a loan through our partners.
*
Monthly
$4,830
$770/m
$9,500 in total
One time payment
$1,100
$6,650 in total
$6,900