Develop the skills you need to launch a fulfilling career in Data analytics with our 24-week part-time course or our fulltime nine-week bootcamp.
Learn Data analytics in only nine weeks!
Learn Data analytics in only 24 weeks!
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During your first 60 hours as an official Ironhack Data Analytics student you will be laying the foundation for success in Mexico City. 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!
The first two weeks will introduce you and your classmates to the world of data analytics. Then you will establish your development environment for the classroom as you settle into our tight-knit data community.
- Introductions to data wrangling/cleaning.
- APIs and web scraping.
- Intermediate levels of Git, SQL and Python.
Week three calls for your first project as an apprentice data analyst! Apply your new Python skills by conducting data analysis with real datasets.
In weeks four and five you’ll take a deeper look into the mathematics behind data analytics.
- Utilizing Python to understand inferential statistics and probability.
- Incorporating Python into the fundamentals of business intelligence.
- Learning story-telling techniques in order to visualize your data and insights in presentations.
Week six will mark the start of your second project: a complete data analysis. This will be constructed from data that you will have processed, cleaned and visualized from real datasets!
The final module will introduce you to the fundamentals of machine learning in weeks seven and eight. We’ll start things off by teaching you to understand the machine workflow, and the lessons will only expand from there.
- Both supervised and unsupervised learning.
- The essentials of popular machine learning algorithms.
- Building, training and evaluating models with the Scikit-Learn machine learning library.
For the last week of this module and course, you will face your final and most challenging task: building an end-to-end machine learning project. You will need to process a dataset, extract features, train a model, and use that model to make predictions on new data. When your project is complete, you will compete alongside your fellow students in our Hackshow.
To ensure the safety of our students and staff, we have migrated all ongoing and upcoming classes to a remote learning environment. Learn more about Our response to COVID-19
DepositOur courses fill up fast. Secure your spot at Ironhack by making an advance deposit when you are accepted into the program. Deposit amount: $9,000 MXN
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.
Finance up to 100% of your Bootcamp cost. With preapproval in just 15 minutes and repayment in 3, 6, or 9 monthly installments with no interest or up to 36 months with interest, Edupass makes accessing your future a snap. Start your Ironhack journey whenever you want with confidence. With Edupass, you’ll have access to flexible and fast financing. In less than 15 minutes you can submit your preapplication to finance the bootcamp of your choice.
You can pay your loan in 18 monthly installments with no interest or up to 36 months with interest. Boost your professional development with financing alternatives from Accede Educación, tailored to your educational program. You can comfortably pay back your bootcamp costs over 36 months. Apply for free by filling out a simple form on their website!
Climb Credit is a financing option available to students who are US citizens or residents who have immediate family members residing in the United States. Finance the cost of your tuition and living expenses with fixed interest rates. Without penalty for prepayment, you can settle your debt as soon as you want.
Friend get friend. Get a 5% discount if your friend signs with you in one of our courses.
Want more information?Visit our Financing page
The tech community suffers from a gender gap, which is why we are proud to promote women in tech with an upfront scholarship of 10% off for any of our Web Development and Data Analytics courses.
Yonatan is constantly searching for new ways to apply analytics and creative thinking to everyday challenges. Yonatan's favorite saying is “everything is funny if you go into it deep enough”. It's clear that Yonatan delves deep into topics and has a great time doing it. His passion for applying deep knowledge and learning to improve himself and society makes Yonatan a true leader in the field, both inside and outside of the classroom. When he is not giving classes, Yonatan is working as a music engineer or walking in nature.Mexico City
In the course-data-analytics-campus bootcamp you will study from 9 a.m. to 6 p.m., Monday through Friday. The schedule may be subject to changes depending on the chosen campus.
9:00Start your day energized
Pour 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.
9:30Lecture block 1
Your first block of lectures begins, where you’ll dive deep and learn some of the intricacies of !
11:30Data lab 1
Apply the concepts you’ve learned in the previous lecture to a new tutorial or challenge. Time to roll up your sleeves and code!
Take a well-earned break and recharge! Our campus is centrally located, so good eats are always easy to find.
14:00Lecture block 2
Afternoon lectures commence, continuing your development of even more skills and techniques.
16:00Data lab 2
Time to solve a project by yourself! This will be a hands-on exercise calling for you to apply your knowledge in real-world practice.
Once 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.
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!
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