Immersive Data Science Bootcamp

Become a data scientist in four months. Learn by doing, and receive 1-on-1 mentoring and career coaching from industry experts to land a job as a data scientist.

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Live classes & office hours

1-on-1 mentorship with experts

Career coaching to land a job in the industry

A large amount of data is generated from our daily use of apps and websites. This includes everything from credit card purchases and commute schedules, to the heartbeat tracked by smart watches. This data helps companies make decisions, generate hypotheses, and gather insights.

Innovative data collection and processing tools have recently transformed the data science field. Organizations from a wide range of industries now compete for experts who can help them manage their data science efforts.

Learn data science fundamentals.

You'll learn how to gather, manipulate and analyse data to gather insights and test hypotheses.

Get hands-on experience with real projects.

Learning by doing helps you make greater progress, faster. You'll practice your skills while working on real assignments.

Receive feedback from an industry expert.

You'll be mentored by an expert data scientist who will offer feedback on your assignments, and answer questions about data science.

Our Program Includes

Live Classes

You'll attend live classes taught by our data science instructor, covering the key topics for the week.

Office Hours

You'll attend regular office hour sessions to ask questions and receive feedback on your works in progress.

Cohort Meetings

You'll meet with your colleagues on a weekly basis to share progress, help one another, and hold each other accountable.

What You’ll Learn


Getting Started

  • Introduction
  • How the Program Works
  • Required Tools
  • Mentor Calls
  • Community and Peers
  • Questions and Support


Introduction to Data Science

  • Data Science Fundamentals
  • State of Data Science – Industry & Trends
  • Components of Data Science
  • Business Intelligence
  • Deep Learning, Machine Learning & Artificial Intelligence
  • Working with Big Data
  • Career in Data Science
  • A Day In the Life of a Data Scientist


Introduction to Python

  • Why Learn Python?
  • Programming with Python
  • Python Structure – Controls
  • Python Structure – Data
  • OOP – Object Oriented Python
  • Python Challenges


Data Collection

  • Summary
  • Common Databases Extensions
  • Importing Data with Python
  • Web Scraping
  • Data Collection Project


Data Manipulation

  • Python Libraries
  • Arrays and Matrices with NumPy
  • Data Manipulation with Pandas
  • Python – Importing Data
  • Python – Cleaning Data
  • Exercises with Pandas


Data Visualization

  • Data Storytelling
  • Design Graphics
  • Exploring Matplotlib
  • Statistical Plots with Seaborn
  • Interactive Views with Boken
  • Assembling Dashboards
  • Project – Visualization with Matplotlib
  • Project – Generating Responses with Seaborn
  • Project – Interactive Graphics with Bokeh


Introduction to Probability and Statistics

  • Introduction to Statistics
  • The Probability Theory
  • Descriptive Statistics
  • Theory and Application of Statistical Inference
  • Hypothesis Testing
  • Correlation and Regression
  • Exploratory Data Analysis (EDA)
  • Data Analysis Assignment


Versioning, Databases and SQL

  • Introduction – Terminal
  • Git, Github and Versioning
  • Using Data in CSVs, JSONs and Databases
  • Relational Databases and NoSQL
  • Introduction to SQL
  • SQL - Sorting, Groups, Aggregations and Types of Joins
  • Subqueries and Advanced Queries
  • Project - SQL in Practice


Machine Learning

  • Introduction to Machine Learning
  • Supervised and Unsupervised Learning
  • Building Models with Scikit-Learn
  • Regression Algorithms
  • Classification Algorithms
  • Clustering Algorithms
  • Regression Project
  • Classification Project


Capstone Project

  • Project Overview
  • Defining a Problem
  • Exploration and Analysis
  • Building a Model
  • Performance Evaluation
  • Writing a Case Study
  • Capstone Project Presentation


Career in Data Science

  • How to Get Started
  • Understanding Job Titles
  • Data Science Teams and Org Structure
  • Your Resume and LinkedIn
  • Networking and Community
  • Interview Prep and Training
  • Building your Portfolio
  • Next Steps

This is what your routine will look like

Every Day

You'll review the provided course materials, work on your assignments, and make progress towards the learning goals for the week.

Every Week

You'll attend live classes taught by the course instructor, ask questions during live office hours, and receive feedback via 1-on-1 calls with your mentor.

Every Month

Our career coaching team will work with you to map your career goals and identify companies and opportunities that are a strong fit to your profile.

After graduation, you'll be:

Ready to work as a data scientist

Our team of career coaches will help you prepare for the interview process and land a job as a data scientist.

Ready to apply your knowledge about data science

After learning how the data science process works, from gathering data to deploying models, you'll be ready to apply it.

Ready to continue building your portfolio

You'll have a case study and framework for expanding your portfolio and building a personal brand in the industry.

Familiar with terms and concepts used in data science

You'll understand the terminology used by data scientists. This will include gathering, manipulating, analyzing, and visualizing data, and everything in between.

We'll help you land a job in the industry

We are fully committed to helping our students succeed. Our team of experts will coach you during the job search process, making sure you are prepared to land your a job in the industry.

Develop your skills.

You'll get hands-on experience during the program, and develop the skills required for an entry-level position.

Practice for interviews.

We'll make sure you are prepared for every step of the interview process, from phone interviews to technical challenges.

Learn how to negotiate offers.

You'll also learn how to negotiate offers, and understand how stock options and vesting schedules work.

How Career Coaching Works

We'll work closely with you to help you land a job as a data scientist. Read below what our unique career coaching approach looks like.


Understand what your ideal company looks like

We'll work with you to define your career goals for the short, medium, and long term, and understand what you’re looking for in terms of company culture, industry, and size.


Identify opportunities that match your profile

We'll help you find job openings that match your profile. In addition, we'll also review your LinkedIn and resume, and offer tips on how to improve both.


Help you prepare for the interview process

You’ll be ready for the interview process. Our team will walk you through interview scenarios and common questions, and explain how to prepare for technical challenges.


Help you negotiate offers and land a job

We'll teach you how to approach job offers, negotiate compensation, benefits, and stock options, navigate vesting schedules, and more.

Our mentors are industry experts who work at top companies.

Meet Your Data Science Mentor

Our mentors are experienced data science experts passionate about education and helping others.

We've helped hundreds of students learn new skills

"Looking to make a career transition after graduating in economics, I decided to enroll in Awari, and I couldn't have made a better choice. The course materials and 1-on-1 mentorship really helped me build a portfolio and land my first job in the industry."

Luciano I.


"The program kicked off my career transition, and the mentorship was super helpful. I had extremely valuable exchanges with experts who really understood the topic at hand, and had a lot of experience to share."

Camila B.


"I really enjoyed the experience. The mentors were very experienced and had a lot to share. The program itself helped me deepen my knowledge, and I was able to better prepare myself for the challenges of a career transition."

Patricia P.


"The program was a big surprise for me. I was able to really get into the subject matter and learn what are the industry expectations for someone who is getting started. I'd say the capstone project and the mentoring sessions were the highlights. Getting my questions answered and feedback on my deliverables were essential for identifying areas of improvement."

Tassia P.



Make an investment in your career. Learn data science from industry experts, and get career coaching to land a job after the program.

Apply Now →

Up to 12x on the card

$ 749 ,00

Or in cash at 1x $3.000,00.

  • 100% money-back guarantee

  • 300+ hour curriculum built by experts

  • Weekly live classes and office hours

  • Weekly 1-on-1 calls with your mentor

  • Career coaching to land a job in the industry

  • Certificate of completion after graduation

Frequently Asked Questions

Below are some frequently asked questions. Feel free to get in touch with us if you have any other questions. Our team will get back to you as soon as possible.

Ask a Question

What are the upcoming cohort start dates?

Our upcoming cohorts will start on and October 26th.

For how long will I have access to the course materials?

You'll have lifetime access to the course materials, including future updates and the student and alumni communities.

How long is the program?

Our data science intensive program lasts 16 weeks. We'll continue to work with you, and offer career coaching sessions, for another six months after your graduation date.

How many hours of work will it be?

You'll need approximately 300 hours to complete the program, including the time spent in live classes, office hours, course materials, mentorship calls, and your assignments.

How does the admission process work?

We have a limited number of spots available for each cohort. Our application process consists of a phone interview (lasting approximately 30 to 60 minutes) to understand your career goals and learning profile. Candidates who are a strong fit for the program then must work on a short logical challenge. If approved, you'll be able to select a start date and enroll.

Is this an in-person or remote course?

The program is completely remote, and we have live classes available in different timezones. This means you'll have the flexibility to study wherever you are, and make sure the workload fits your routine.

What are the prerequisites for the program?

The key requirement is that you have at least some coding experience with a programming language (e.g., Python). If you don't, no worries! If you don't have experience, we offer a prep track for students who are approved, at no extra cost.

How does the mentoring work?

Our student success team will book a call with you and present a few expert options who might be a good fit based on your profile and goals.

Once you're paired with a mentor, you'll have weekly half-hour calls to ask questions, receive feedback on your assignments, and discuss your future career in data science.

Is there a certificate of completion?

Yes! You’ll receive a certificate of completion once you complete the program and deliver your capstone project.