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Ironhack Remote Data Analytics Bootcamp

Become a Data Analyst in a live online environment now! Develop your knowledge in business intelligence, data modeling, data analysis and perform increasingly complex data analysis based on real-world datasets.

Data analytics bootcamp (Full-time)

Our course formats

Acquire the tech skills you need to launch a fulfilling career in Data with our Online Data Analytics Bootcamp in full-time or part-time format. Shape your analytical skills remotely with our flexible courses and with the support from expert instructors.

Remote Data analytics Bootcamp (Full-time)

Become a Data Analyst in only 9 weeks - learn from home in a live remote environment!

9 weeks7.500 €Mon-Fri9:00 - 18:00
Selected format
Remote Data analytics Part-time course

Become a Data Analyst in only 24 weeks - learn from home in a live remote environment!

24 weeks7.500 €Tue-Thu 15:00 - 18:00Sat. 10:00 - 17:00
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Select one of the formats above for specific course information. Otherwise, information about the Data analytics bootcamp (full-time) will be shown by default.

What you will learn during the Remote Data analytics bootcamp

Prework

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!

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 online Data analytics bootcamp before applying?
Download syllabus

Why should you study a Remote Data analytics Bootcamp?

Best virtual data practicesLearn data analytics remotely, in a live interactive classroom with other students. Daily standups, challenging datasets, real business projects with a team and much more. Gain experience in remote work skills while you get ready to enter the digital workforce.
Sharpen your skills in Data analyticsExpand your skills, improve in-job competitiveness, switch career paths or seek new employment opportunities in the data and information technology sectors. Learn not only the skills to become a data analyst but also how to adapt to a remote working environment.
Use your time wiselyLearning Data Analytics and becoming a data analyst should not be incompatible with your routine. Maybe your commute gets in the way to study an in-person course, or you have responsibilities to tackle at home or you are located too far from our campuses. Join Ironhack Remote and get ready to become a Data analyst from the convenience of your home.
Lively virtual tech communityExplore the infinite possibilities of belonging to a community with more than 5,000 Ironhackers across the globe. Meet your peers, share ideas and projects, network, attend our online and in-person events and much more. You will make friends that will last a lifetime.

Upcoming live Remote Data analytics cohorts

Here are the upcoming dates for our online Data analytics bootcamps. Reserve your spot today!

Dates
Schedule
Career Week
?
The Career Week happens for every cohort on week 10. During this week we guide students through the whole job-hunting process: from networking to personal and technical interviews, pitching, negotiating offers etc.
Price
Status
Don’t see any suitable dates? Check our remote part-time courses!
Covid-19 update

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

Deposit

Our courses fill up fast. Secure your spot at Ironhack by making an advance deposit when you are accepted into the program. Deposit amount: 750€

Application process for the Remote Data analytics Bootcamp and part-time course

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!

Financing options at Ironhack Remote

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

What sets our global remote community apart?

Join the digital world and learn from anywhere you want with all the benefits of in-person education. Participate in a live virtual classroom, interact with your Instructor as well as other students, and join a global community of over 5,000 alumni.
If you like to learn in a fun and interactive manner - this is the right class for you. Besides the Instructor-led sessions taught by highly trained professionals, there will be friendly competitions with Kahoots, Bootcamp Jeopardy, Pictionary, Draw Swords, and more!
Take time to dive deep into our Ironhack community. Get to know your live remote classmates and exchange experiences, projects and much more with other like-minded people around the entire globe. Create relationships with your classmates who might even be your co-workers in the future!

Data analytics Instructors at Ironhack Remote

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.

Course Information

A typical day during the remote Data analytics bootcamp

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.

Monday - Friday

9:00 - 9:45

Instructor-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 - 10:00

Break

During your break, both students and staff should leave their computer, stretch and have a snack!

10:00 - 10:45

Independent 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 - 11:00

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 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.

Testimonials by Remote Data analytics students

The opinions of our Remote Bootcamp Students
The opinions of our Remote Bootcamp Students

Studying a remote Data analytics bootcamp has a lot of benefits! Read the reviews of our bootcamp students on our transition to remote learning

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The reviews of our Remote Part-time students
The reviews of our Remote Part-time students

Would you like to find out what is it like to study a remote Data analytics Part-time course? Hear from our Part-time students on our transition to remote learning

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More Questions?

Call us

+351-911-011-808

or send us an email

remote@ironhack.com