SKILLS
Learn Data Analytics at Ironhack Tampa
Join our Data Analytics bootcamp and get the hands-on skills you need to land a job in the growing tech industry and be part of any company's workforce as a Data Analyst
9 weeks full time or 24 weeks part time
PYTHON
SQL
TABLEAU
STATISTICS
AND MORE!
Learn Online & Meet our community
Our Courses in Tampa are "hybrid"
Our classes are online!
Learn from the comfort of your home
And enjoy the flexibility that brings
Collaborate in person
At our Embarc Collective space
And experience a sense of community
Make use of our career events
Get to know amazing tech companies
Network & stay connected!
Our Courses
06 Jun - 05 Aug
15 Aug - 14 Oct
17 Oct - 23 Dec
05 Jul - 17 Dec
English
Tue & Thu, 18:30 - 21:30 (undefined)
Sat. 10:00 - 17:00 (undefined)
US$13,000.00
Career Week - 19 Dec
All our courses include
Career Services program
We help you identify your ideal outcome, and reach it as fast as possible.
Multiple payment options
Different options available to make the tuition not a blocker to start your new career.
Course Information
SKILLS
Online Prework
Module 1
Module 2
Module 3
During your first 60 hours as an official Ironhack Data Analytics student you will be laying the foundation for success in Tampa. During the prework phase you will:
1. learn the fundamentals of command line, Git, Python, MySQL and statistical analysis
2. familiarize yourself with the basics of programming and statistics and
3. connect with your peers and expert academic staff by utilizing our Slack channel.
Once you’ve completed the prep materials and synced up with your class, you’ll be ready to dive into the course!
Want to learn more about Ironhack and our Data analytics bootcamp in Tampa before applying?
Career Services
Careerhack is Ironhack's Career Services program. It's designed to help Ironhackers identify their ideal outcome, and reach it as fast as possible. We've helped thousands of students land their dream job in tech. Discover how we will help you!
Do you need help with the payment? Our financing options help you find the support you need so you can focus on your career and developing new skills.
Climb Credit
Climb Credit offers low-interest loans to cover your tuition and living expenses. Enjoy fixed interest rates and low monthly payments while attending class and for three months after graduation, your loan payment will be interest-only, followed by full principal-and-interest payments. With no prepayment penalties, you can pay off your loan as quickly as you like.
Partnership with fixed interest rates
Interest-Free Recurring Payments with Climb
Pay over time. Payments will be processed automatically. Make 4 recurring payments of $3,000 by debit card, credit card or bank transfer - no fees. Total payment does not include the $500 deposit.
Make 4 recurring payments of $3,000 by debit card, credit card or bank transfer - no fees.
Climb Loan
Reduced payments of ~$67 to $115 for first 3 months, then pay it off over 36 monthly payments. Offer and final payment terms subject to approval. Applying does not impact credit score. Co-borrower options available. Total payment does not include the $500 deposit. Total payment: ~$13,038 to $14,155 over 39 months.
Low, affordable monthly payments — loans offered by Climb.
Deferred Climb Loan
$0 per month for first 6 months, then pay it off over 36 monthly payments. Interest does accrue during the 6 month deferment and will be added to the principal to be paid off over remaining 36 months. Offer and final payment terms subject to approval. Applying does not impact credit score. Total payment does not include the $500 deposit. Total payment: ~$14,017 to $15,942 over 42 months.
No loan payments during class — loans offered by Climb.
Jan loves working with data in all its forms and finds that analysing it satisfies his curiosity. He worked as a database administrator, IT consultant, developer, team lead, department head and CTO. Teaching allows him to combine working with data and helping people grow. In his spare time he likes to draw (anything), paint (portraits) and sing (opera).
Loves to explore data, create, and diagnose models beyond performance metrics. On his free time, he loves to fly paragliders with his friends or going to the countryside with his MTB.
In the online Data analytics bootcamp, you will study from 9 a.m. to 6 p.m., from Monday to Friday. Your schedule will consist of four 45-minute Instructor-Led Class Sessions, three 45-minute Independent Student Work sessions, and one 60-minute block of open office hours.
9:00 - 9:45
Instructor-led Class SessionThese Instructor-Led sessions last for 45 minutes. These are led by the instructor and include a mixture of lecture, demos, and short checks for understanding (Kahoot, mini-activity, cold-calling students, etc)
9:45 - 10:00
BreakDuring your break, both students and staff should leave their computer, stretch and have a snack!
10:00 - 10:45
Independent Student Work SessionDuring the self-study sessions, you should focus on doing your independent work. Take this time to meet with your project team, read through content in the student portal, write a summary or work on labs. Our TAs will be available via Slack to provide support and help.
10:45 - 11:00
Break
11:00 - 11:45
Instructor-led Class Session
11:45 - 12:00
Break
12:00 - 12:45
Independent Student Work Session
12:45 - 14:00
Lunch
14:00 - 14:45
Instructor-led Class Session
14:45 - 15:00
Break
15:00 - 15:45
Independent Student Work Session
15:45 - 16:00
Break
16:00 - 16:45
Instructor-led Class Session
16:45 - 17:00
Break
17:00 - 18:00
Open Office HoursDuring these 60 min sessions, TAs will be available online. Student attendance is not mandatory and instructor attendance is not required. This is an opportunity for students to drop-in and ask questions or seek help with homework and/or labs.
20% increase of energy efficiency, 20% decrease in CO2 emissions, and 20% of energy production from renewable sources, all by 2020: a challenging goal to meet. Ingrid was inspired to analyze Spain’s electricity consumption in order to determine whether or not we are on the path toward a more sustainable rate of electricity consumption. She found some particularly interesting patterns that we are following as users!
We are committed to helping you start your career in tech. Our financing options range from traditional loans to pay-for-success models so you can choose the option that best fits your needs. Simply get in touch with our admissions team and they will give you more information about the available options.
Get in touch with our Admissions team