Learn Data Analytics at Ironhack Remote
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
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.
During your first 60 hours as an official Ironhack Data Analytics student you will be laying the foundation for success in Remote. 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 Remote before applying?
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.
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 - 9:45Instructor-led Class Session
These 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 - 10:00Break
During your break, both students and staff should leave their computer, stretch and have a snack!
10:00 - 10:45Independent Student Work Session
During 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 - 11:00Break
11:00 - 11:45Instructor-led Class Session
11:45 - 12:00Break
12:00 - 12:45Independent Student Work Session
12:45 - 14:00Lunch
14:00 - 14:45Instructor-led Class Session
14:45 - 15:00Break
15:00 - 15:45Independent Student Work Session
15:45 - 16:00Break
16:00 - 16:45Instructor-led Class Session
16:45 - 17:00Break
17:00 - 18:00Open Office Hours
During 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