SKILLS
Learn Data Analytics at Ironhack Miami
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!
Our Courses
10 Jan - 24 Jun
English
Tue & Thu, 19:00 - 22:00 (undefined)
Sat. 10:00 - 18:00 (undefined)
US$13,000.00
Final Call!
Career Week - 27 Jun
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 Miami. 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 Miami 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
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.
Himanshu has a master’s in industrial engineering with a focus on data analysis. He has over four years of experience in tech and has worked on projects across a diverse spectrum of industries including education, healthcare, finance, information and technology, tourism, and manufacturing. This has led Himanshu to develop strong skills in statistics, big data analytics, machine learning, time series analysis, operations research, database management, optimization and data visualization.
In the course-data-analytics-campus part-time course, you will study on weekdays from 6:30 p.m. to 9:30 p.m. (either Monday and Wednesday or Tuesday and Thursday, depending on the campus and cohort) and on Saturdays from 10 a.m. to 5 p.m. The schedule may be subject to changes depending on the chosen campus.
9:00
Start your day energizedPour yourself some coffee to get your day going, as class begins with a review of yesterday’s exercises. You’ll also learn to manage a healthy workflow by incorporating the key strategies of Agile and Kanban.
9:30
Lecture block 1Your first block of lectures begins, where you’ll dive deep and learn some of the intricacies of Data Analytics!
11:30
Data lab 1Apply the concepts you’ve learned in the previous lecture to a new tutorial or challenge. Time to roll up your sleeves and code!
13:00
LunchTake a well-earned break and recharge! Our campus is centrally located, so good eats are always easy to find.
14:00
Lecture block 2Afternoon lectures commence, continuing your development of even more skills and techniques.
16:00
Data lab 2Time to solve a project by yourself! This will be a hands-on exercise calling for you to apply your knowledge in real-world practice.
18:00
After-course eventsOnce the day’s coursework has ended, explore and find innumerable opportunities to meet and network with other data professionals. Meetups, networking sessions and workshops are just down the street, or you can stick around campus to catch up on classwork.
18:30
Daily lessons and standupYour first weekday of the part-time course will begin with two lectures, each lasting about fifty minutes, with a break in between each one.
20:30
Individual projectIndividually apply what you learned during the lectures to a new project laid out in a brief by your teachers.
18:30
Daily lessons and standupYour second weekday of the part-time course starts off with two lectures, each lasting around fifty minutes and featuring a break in between the sessions.
20:30
Individual data projectApply what you learned during the lectures to new projects guided by your teachers.
10:00
Daily standup and lecture block 1Following your usual standup, Saturday starts off with two fifty-minute lectures with a break in between them.
12:00
Hands-on learningApply what you learned during the morning to your individual data project and additional case studies.
13:00
LunchTime to eat, rest and recharge those batteries! Our campus is located in the heart of the city, so you’ll find excellent lunch options in any direction. Feel free to bring food from home, too.
14:00
Lecture block 2Right after lunch, you’ll learn even more theory with some excellent lectures delivered by your lead instructor.
17:00
Show and tellAs each Saturday comes to a close, you’ll have the opportunity to apply everything you’ve learned and review the development of your individual data project.
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