Data Scientist: The Sexiest JobHarvard Business Review
of the 21st Century
Give yourself a head start
Data Science Essentials from The Data Incubator is an 8-week online class designed to strengthen your data skills, whether it's to improve your core data wrangling and analysis or to qualify for our data science Fellowship program.
We've developed this class with insights from our industry partners, using the same rigorous methodology as our data science Fellowship program to give you the boost your data skills need.
Successfully complete Data Science Essentials and you'll automatically earn a spot in the next TDI Fellowship cohort - and a $1500 scholarship!
Learn from The Data Incubator's experienced data science instructors dedicated to teaching data analytics.
Learn the most sought-after tools and techniques in the industry to help jumpstart your data analyst career.
This class was designed for the busy lives of working professionals with evening sessinos and recorded lectures.
Gain hands-on experience applying the tools employers value to real-world data sets.
Live lectures allow you to ask your instructor questions and interact with your classmates.
Small class sizes ensure you have plenty of access to your instructor and can receive personalized feedback on your progress.
Who's it for?
Data Science Essentials is the perfect class for current and recent college and graduate-level students, working professionals, and other data enthusiasts who are looking for an immersive, hands-on experience in fundamental data science techniques.
So if you're:
Then this class is for you.
When is it?
The next class starts on January 26.
It will run for 8 weeks, with classes twice a week on Tuesdays and Thursdays. Classes start at 7 PM ET and run for 2 hours. And we offer open office hours for a half hour each day.
About Data Science Essentials
Upon completion of this class, you'll be able to:
The next class starts on January 26 and will run for 8 weeks, with classes twice a week on Tuesdays and Thursdays. Classes start at 7 PM ET and run for 2 hours. And we offer open office hours for a half hour each day.
Tuition for Data Science Essentials is $2995. But if you purchase your class by 1/15, you'll receive a $1500 discount!
See what some of our alumni have to say.
"The data science skills I sharpened at The Data Incubator helped me analyze diversity in STEM education, model SaaS stock prices, and compare industry growth rates. The instructor's background in quantitative finance made for relevant use cases that benefit not only data scientists, but also data-driven finance people like myself."
Christian Templeton, Google
Formerly Salesforce, Symantec. Accepted to The Data Incubator Fellowship.
"From day one I was getting my hands dirty working with data using industry-relevant tools. Having completed the program I'm now better equipped to manage engineering and product teams, and able to conduct sophisticated ad-hoc analysis. Everyone at TDI blew me away; truly exceptional."
Michelle Miller, Hack Reactor
Formerly Berkeley, Smithsonian
"Their heavy focus on applied learning meant that I was working on real data and solving real problems right from the start. While lectures were a valuable component of their courses, the real learning took place while working on projects. These projects were practical, engaging, and instructive, and generally great opportunities to get hands-on experience with what I had learned in the lectures."
David Kwon, Yelp
Formerly University of California, Berkeley
This class is designed for anyone who would like to learn the essentials of data science. Students will gain hands-on experience working with some of the most in-demand big data technologies and leave ready to kickstart their data science careers.
You can find the dates of upcoming sessions and register via The Data Incubator's Eventbrite page.
Data Science Essentials includes five hours of lectures each week. You'll also want to allot extra time for reviewing lectures and working on the associated projects; we generally recommend setting aside at least five additional hours per week for this, but it's up to you how much time you'd like to put in.
As Data Science Essentials is intended to add a set of skills for students who are currently employed full time, we do not offer placement or job search support for this class.
Data Science Essentials can act as prep class for students applying to our Data Science Fellowship, and builds skill sets in two areas essential to the Fellowship: the ability to code proficiently in Python and the ability to apply statistical methodology to datasets. Successful completion of the class earns you a spot in the next Fellowship program!
The Data Incubator's Fellowship program is a full-time, intensive data science program spanning two months. Fellows in the program should have programming experience, a background in a highly analytical field, and the ability to work independently on programming projects. This course is for people with advanced degrees who want to make a full transition from academia to industry-focused data science.
Data Science Essentials, on the other hand, is a part-time, online program designed for people who'd like to learn the essentials of data science to augment their current skill sets. The class is centered on data wrangling and analysis using Python and is taught by a live instructor. Prior coding experience is definitely a plus, but not required (see next section).
There's no official skill set required for this class, but a basic understanding of the Python language is strongly encouraged. If you don't have any experience with Python, we recommend you complete Codecademy's free Python basics courses before beginning the Essentials program. With that said, we've had successful students in the past who came to us with no prior coding experience.
Data Science Essentials students will learn how to programmatically work with large, real-world datasets to solve business problems. Over the course of eight weeks, students learn how to extract, clean, and analyze data using Python. Students will leverage Python's powerful libraries to build predictive models to make better decisions, and help employers solve business problems using data-driven insights.
With loads of data you will find relationships that aren’t real.Forbes Magazine
Big data isn’t about bits,
it’s about talent.