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Learn Data Analytics in Miami

Become a data analyst at Ironhack Miami in nine weeks (full-time) or 24 weeks (part-time).

Data Analytics bootcamp (Full-time)

Our course formats

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.

Miami campus doesn't offer Data Analytics courses

What you will learn during the Data Analytics bootcamp in Miami

Prework

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!

Module 1: Introduction to and Python

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.

Topics include:

- 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.

Module 2: Advanced

In weeks four and five you’ll take a deeper look into the mathematics behind data analytics.

Topics include:

- 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!

Module 3: Get a handle on the fundamentals of machine learning

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.

Topics include:

- 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.

Want to learn more about Ironhack and our data bootcamp in Miami before applying?
Download syllabus

Why should you study Data Analytics in Miami

From the public sector to investorsMiami’s tech scene refuses to stop growing. The city’s rapid expansion of startups and accelerators has brought with it a wide swath of investors. Goldman Sachs set up shop with its 10,000 Small Businesses program, the international mentorship program Endeavor created its first U.S. outpost there and Silicon Valley’s 500 Startups venture capital fund has a base downtown. But it’s not just investors – Miami is one of 10 cities participating in Bloomberg Philanthropies’ What Works Cities initiative. This is one of the largest efforts to enhance the use of data and evidence in the public sector.
Data education across the cityData is the new oil! The vast majority of Miami's tech scene is booming with data meetups and innovation centers. Collaborate with tech startups, conquer hackathons, and get involved with AI and Machine Learning communities.
Tech conferences and eventsMiami’s tech boom has perpetuated its growth through a healthy and ever-changing climate of open discussion. Its many conferences and events being the biggest forums. Chief among them is the Data and AI Forum 2019, an essential annual data and AI gathering. Customers, Business Partners and developers across all industries come together to discuss how analytics can generate better decision making and more effective business strategies. Attend to learn how they can drive smarter decisions, formulate more effective strategies and achieve better business outcomes with analytics.

Upcoming Data Analytics cohorts in Miami

Here are the upcoming dates for our bootcamps in Miami. Reserve your spot today!

Miami campus doesn't offer Data Analytics courses

Application process for the Data Analytics courses in Miami

01

Apply online

Apply to the course that is best for you.
02

Personal interview

Our admissions team at Ironhack will contact you to schedule a personal interview and make sure that we can help you meet your goals in .
03

Technical assessment

After the personal interview, you will need to pass a technical assessment to show that you are ready for our fast-paced learning environment.
04

Deposit and prework

Once you have completed the technical assessment and paid the deposit, you will be granted access to the prework. The prework is fundamental to the program, and you must complete it before starting the course in .
05

The course begins

Once you have completed the prework for at Ironhack , you will be ready to begin learning!

Our financing options at Ironhack Miami

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

Enjoy fixed interest rates and low monthly payments when covering your tuition and living expenses with Climb Credit. No prepayment penalties mean you can pay off your loan as quickly as you like.

Skills Fund

Focus on your career with all your costs covered by Skills Fund! Regardless of your current income or employment history, you can customize the loan that best fits your needs.

Ironhack’s income share agreements

Seize your Ironhack experience without paying a cent until you land your dream job! Your education will be fully funded until you’ve secured a role making at least $40k per year.

Want more information? 

Visit our Financing page
Ironhack Women Scholarship
Scholarship for women

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.

What sets Miami apart?

The Magic City will enchant you with its unforgettable mix of modern culture and laid-back seaside vibes as well as blended Latin and North American traditions.
Only a few steps from our campus you’ll find sublime beaches, sunshine all year-round, and two national parks right next door: the Everglades and Biscayne National Park.
Or find your way to Miami Beach’s Art Deco district. This classic neighborhood is bursting with art, incredible beachfront buildings, an ever-expanding multitude of galleries and the incomparable street art of Wynwood Walls.

Data Analytics Instructors at Ironhack Miami

Ironhack Data Analytics instructor Himanshu Aggarwal
Himanshu Aggarwal

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.

data

Ironhack Data Analytics instructor David James Knight
David James Knight

David is a data consultant with a multidisciplinary background that includes design, web development, and law. He specializes in data engineering, data visualization, and machine learning solutions for organizations in the legal and criminal justice sectors, such as the City of Miami Police Department and the American Bar Association.

data
Course Information

A typical day at Ironhack Miami

In the 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.

Monday to Friday

9:00

Start 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.

9:30

Lecture block 1

Your first block of lectures begins, where you’ll dive deep and learn some of the intricacies of !

11:30

Data 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!

13:00

Lunch

Take a well-earned break and recharge! Our campus is centrally located, so good eats are always easy to find.

14:00

Lecture block 2

Afternoon lectures commence, continuing your development of even more skills and techniques.

16:00

Data 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.

18:00

After-course events

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.

Projects built by students

Is your electricity consumption 20–20–20?
Is your electricity consumption 20–20–20?

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!

Ingrid Munné, data analytics
More Questions?

Call us

+1 (305) 907 7086

or send us an email

mia@ironhack.com