Succeed with our Data Prep Materials
Everyone starts out at different levels when they enter TDI’s data science or data engineering programs. To help get everyone on the same page, we’ve put together these prep materials to ensure you feel fully prepared from day one of your program.
Past alumni have said that they were able to get more out of their programs because they took the time to practice these skills before starting the bootcamps.
Below, we’ve put together five modules that will give you a taste of what our programs are like, and provide you with an understanding on what you should know before starting your data journey in our bootcamp.
Each of these modules should take about five hours to work through, give or take depending on your past experience.
Make sure you look at each module’s Action Items and the accompanying materials. Take deeper dives into the topics you’re not familiar with, and make sure you’re set up for success across all the modules.
When working through a coding tutorial, it can be really tempting to copy and paste code from the tutorial directly into the Python shell and think you understand it.
Don’t do this! Type the code in character by character: this forces you to learn the commands so that when you need to actually use them, you’ll have them closer to your fingertips.
Things to note: These are the first five modules of our 12-module pre-course plan. When you’re accepted to the program, you’ll see these prep materials, along with seven other modules, to help you succeed in the program.
You did it! Congratulations on completing the prep materials and taking the first step in preparing for your program.
How was it?
If you struggled, that’s ok! There are plenty of skill levels that apply and get accepted into our bootcamps, so you’re always welcome to apply.
Now that you’ve got this under your belt, take a peek at what our admissions process looks like past this point and see what other steps you might need to take.
Not ready for a bootcamp? We’ve got you covered. Take our “data 101” course, Data Science Essentials to whip your data basics into shape. You’ll strengthen and build upon your current data skills and improve your Python mastery. You’ll also get automatic entry into our next bootcamp when you graduate from Essentials.
Need More Info? Talk with Admissions!
Meet the Instructors
Meet Alumni Who've Been in Your Shoes
TDI gave me my first insight into data science in the business world. Thoroughly designed mini-projects are excellent stepping stones to tackling real-world problems. A good amount of well-sorted study materials and meticulously designed notebooks are always there to help you to excel in your job interviews.
TDI introduced me to a wide range of material and gave me the confidence to pursue a Data Science career. Particularly with my Capstone project, I tailored it to the Healthcare and Marketing industry. My project presentation in my interview directly led to me beating out other applicants with more experience than myself. The experience and feedback received via the Capstone Project was instrumental in getting me the job I have now.
TDI provided me with a great introduction to the platforms and technologies in ML used in the industry. They selected projects and exercises emulating a real ML work environment. Working side by side with instructors and fellows was a crucial part of the learning experience. It also helped to build connections that I still value greatly.
Meet Alumni Who've Transitioned From Academia
“I’m a recovering academic,” says Dr. Andrew Grazyk. He was one of the few who managed to stay in academia for a couple of years before making the switch to industry. He completed his PhD in Economics in 2017 before applying to TDI in 2019 when his research projects dried up and his ambitions changed. He was stuck—he needed to learn new computational techniques to break into the industry, but didn’t have proper structure and guidance to gain them. Until The Data Incubator popped up in a google search. He accredits our instructors as the key component in the development of his skills.
For Newton Le, “TDI was my way out.” Newton found himself without opportunities for research which left him unable to secure an academic position. The data science fellowship was just what he needed to secure a job outside of research and into the computational problem-solving he enjoyed. He landed his first job with Crunchbase through our hiring partner program after he joined TDI in 2016. Within months of graduation, he was working as a data engineer and is now the tech lead for the machine learning pipelines team at Twitter—where he’s been since 2017 and calls his journey “sorta unbelievable.”
Hechen Ren remembers watching many of her peers’ research hit trends that her field in physics just didn’t allow. The oversaturation of her post-doc didn’t lend her any favors either. So in 2019, after chatting with industry friends, she was convinced that TDI was going to bring her the success she was looking for. “It was important for me to find something that struck a balance between value and passion,” she says, but she found that balance by utilizing the statistical modeling skills she learned at TDI for the research and development department at Afiniti where she’s been since graduating.
TDI isn’t your typical program. We work hard to ensure that we offer the best training from the best instructors, using the latest tools and real-world data so you can feel confident when you step into your new job in data.
- Cohort-style program. Make the transition from academia to the business world, or enhance your data skills while you work with an excited and exceptional peer group. We aim to keep our cohorts intimate, to maximize your interaction with instructors.
- Hands-on experience. All of the projects you complete in the program are designed to give you experience with real data sets while solving real business problems.
- Accessible instructors. Every section has a dedicated data instructor to lead discussions and assist students.
- Mentorship from industry leaders. Learn from alumni and senior data scientists and data analysts while you build your professional network.
- A large network of hiring partners. We work with a number of actively-hiring partner companies each cohort to help find you your dream career—and not just another job.
To apply to the Data Science or the Data Engineering programs, you’ll need to possess these requirements:
- A master’s degree or PhD completed before the beginning of the program, or a PhD that will be completed within 3 months of finishing the program, or a Bachelor’s degree with extensive data-related work experience
- Some prior programming experience
- A foundational knowledge of statistics for Data Science or computer science for Data Engineering
- Proficiency in the English language
If you’ve got all that, then you’re eligible to apply for the Data Science or the Data Engineering program.
To put it plainly, yes. We require all applicants to be familiar with at least one programming language to apply. The Data Science and the Data Engineering program application also requires applicants to take a coding challenge before getting accepted into the program.
While the programs emphasize Python, many of our applicants have experience with other languages, and have varying degrees of coding experience.
- For our Data Science applicants, they usually have a strong background in probability, statistics, and experience with programming, scripting, or statistical packages.
- We’ve had successful applicants with degrees in political science, economics, computer science, mathematics, physics, chemistry and more.
- For our Data Engineering applicants, they should have a strong background in computer science, software development, and experience with programming.
- Data Science Essentials is meant for students who are looking to learn essential data science skills, who may be new to Python and are looking for a more robust learning program, those interested in learning the fundamentals of quantitative analysis or who are looking to apply to the Data Science Fellowship.
To attend our full-time or part-time online Data Science Program as a scholar, the tuition is: $11,000
To attend our full-time or part-time online Data Science & Engineering Program the tuition is: $10,000
For those paying in cash for the Data Science or the Data Engineering programs, we offer two discount options:
- $2,000 for those who apply during our early admissions time frame
- $1,000 for those who apply during our regular admissions time frame
Financing is available through Ascent or other lenders of your choice.
We also offer income sharing, where you don’t pay anything for tuition until you start your career and are earning over a certain threshold. Income sharing is an agreement between you, The Data Incubator, and our partner, Leif. Check out the details under the question “What is income sharing?”
If you’re placed with one of our hiring partners after your training, we’ll refund 30% of your tuition*.
A limited number of scholarships are available for the full-time data science and engineering programs. Check out the details under the question “Do you offer scholarships?” to learn more.
We encourage you to put your best foot forward during your application for a chance to earn one of these coveted scholarships.
*Participants who use Ascent or Income Sharing Agreements to finance their participation are not eligible for the 30% placement refund.