Data Scientist: The Sexiest JobHarvard Business Review
of the 21st Century
Become a leading data analyst today
Hands-on, intensive data analytics training
A McKinsey survey of over one thousand businesses found that the most pressing skills gap to be addressed was data analytics - with nearly half of respondents saying it was the most urgent priority when it comes to upskilling.
And PwC's 2019 annual CEO survey found that more than 1/3 of CEOs believed skills gaps in data analytics are the most crucial threat for their organization.
Do you have what it takes to save the day?
Choose from our new full-time, 8-week program, or our part-time, 20-week program (evenings only). Both programs cover the same information, are taught by the same instructors, and provide the same hands-on data training. Master the skills and tools you need to help any organization better utilize and understand its data.
Work closely with TDI's experienced data instructors, dedicated to teaching data analytics.
Find your first role as a data analyst with our extensive and exciting hiring partner network.
Upskill your data analysis with convenient evening courses twice a week over 20 weeks.
Get hands-on, real-world experience applying the tools employers value to real data sets.
Our live, virtual training allows you to connect with students and your instructor in real time.
Our class sizes ensure you'll receive personalized attention and feedback during your training.
Who's it for?
The Data Analytics Program is the perfect training for current and recent college and graduate students, working professionals, and data practitioners who are looking to increase data analytics skills and find a career in the in-demand field of data analytics.
So if you:
Then this class is for you.
When is it?
The Fall application is open June 1 - July 30 and classes will begin September 20.
The full-time program lasts for 8 weeks, Monday-Friday, 9:00 AM ET - 5:00 PM ET and the part-time program lasts for 20 weeks, Mondays and Wednesdays from 7:00 PM ET - 9:30 PM ET. Tell us your preference for full-time or part-time on your application.
What does it cost?
Tuition for the Data Analytics Program is $10,000.
Our Data Analytics Diversity Scholarship is designed to help remove barriers and provide opportunities for women, veterans, LGBTQ+ individuals, and those from racial and ethnic backgrounds who are traditionally underrepresented in data. This full-tuition scholarship is designed to help combat the lack of diversity in tech. Please note that the diversity scholarship is only available for our full time Data Analyst Program.
Looking for financing information? Check out our options here.
In addition to the in-demand skills and programs you'll learn in our Data Analytics Program, we'll also help you craft your resume and hone your interview skills so you can shine in front of potential employers.
Our career services team will work with you and our pool of hiring partners to find you amazing opportunities you won't see anywhere else. You could be working an exciting new career in a matter of months for a leading company like:
About the Data Analytics Program
Upon completion of this program, you'll be able to:
Data Wrangling with Python
Between 60-73% of an organization's data is untouched for analysis, leaving valuable opportunities on the table. In this section, you'll learn the Python tools and programs needed to start processing that unused data, distilling key insights and trends, and begin turning that information into easily digestible, business-focused findings. Topics include:
Companies collect data from a number of different places, but they don't all arrive in the same way. In this section, you'll learn how to use Structured Query Language (SQL) to extract and analyze data stored in multiple databases, integrate SQL queries with Python, and begin to process the mountain of untouched data your organization has sitting around. Topics include:
Many business professionals lack the data literacy skills to interpret and understand the insights drawn by data analysts, and aren't comfortable accessing or using the data at their disposal. In this section, you'll use Python and Tableau to create powerful and easy-to-follow visualizations of the data you collect, understand how to best present your findings to different audiences, and find the right problems to solve for your organization. Topics include:
Every business leader wishes they could predict the future of their market and their business. With machine learning, you can do just that. In this section, you'll learn the basics of machine learning so that you can start predicting trends that your organization can use to streamline the business. Topics include:
With loads of data you will find relationships that aren’t real.Forbes Magazine
Big data isn’t about bits,
it’s about talent.