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Join a Data analytics bootcamp

Become a data analyst: full-time or part-time.

Course Information

Your path to a new career in data

SKILLS

Prework

Module 1

Module 2

Module 3

Ironhack Data prework: Before the course

Data prework: Before the course

Dive into the world of data

Once you become an official Ironhack student, you will be given 60 hours of online learning material focusing on command line, Git, Python, MySQL, and statistical analysis. To get you ready for learning , this essential prework will familiarize you with the basics of programming and statistics necessary for the bootcamp. Although you will learn these topics remotely before you arrive at your chosen campus, you won’t be far away from the resources of the Ironhack community. Make use of our Slack channel to connect with your peers and get help from expert academic staff. At the end of your prework, you’ll be ready for the fast pace on campus!

Data analytics Instructors at Ironhack

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Who is our Data analytics bootcamp for?

Recent graduates

Need to enrich your resume with hard-hitting projects? Trying to develop real-world skills that are valued in the data industry? Our bootcamp will help you secure your spot in the data industry.

Career changers

Has your career hit a bottleneck? Switch to the data world! Every single industry is beginning to incorporate Data Analytics — now is the moment for you to leverage your current expertise and evolve your career! Enter the data industry with this course, which has been specifically designed to teach you the necessary knowledge and skills.

Career boosters

Looking to break away from the pack? Read into the secret knowledge of analytics by developing cross-disciplinary expertise in data. With this course, not only can you propel your career forward, you can also take it in a new direction.

Entrepreneurs

Discover how data can give your company that extra edge against the competition in a world that’s accelerating every minute. This course offers you a deep understanding of the current data tech and practices that’ll be essential to growing your company.

Why should you learn Data analytics?

Be on the cutting-edge

Join one of the hottest industries in the market today. Data is taking over decision-making in all areas of industry, business, science and even government. The ability to obtain and analyze data will put you in the right spot to perform at the forefront of innovation.

Data drives decisions

It’s about more than just collecting and analyzing data. You also need to know how to extract and share insights to make more informed decisions. You will learn how to explain your findings clearly and compellingly for diverse audiences.

Real data, hard skills

By combining programming and mathematics, you can rigorously analyze large quantities of data to solve real-world problems. Your skills in Python, SQL and Tableau will set you apart.

FAQs about the Data Analytics course

Will I be learning data science?

Data retrieval, cleaning and analysis are performed by both data analysts and data scientists. Yet it’s the latter that apply machine and/or deep learning models in addition to these functions. Our {{course}} course includes an introduction to understanding the fundamentals of machine and deep learning. However, it does not provide a complete understanding of the field.

What positions can I get coming out of bootcamp?

Most of our students become junior data analysts or junior business intelligence analysts. Although less common, it is not unheard of for them to be placed in other positions, such as junior data engineer or junior data scientist. However, each student’s previous experience is highly influential in their placement.

Do I need a mathematics or programming background for bootcamp?

While certainly useful, we don’t require our students to have any existing qualifications or skills in either mathematics or programming beyond the high school level. However, you will need a sincere interest in both programming and statistics. As is true for all Ironhack courses, you’ll need to be ready to push yourself and not hesitate to work with your teachers and teaching assistants — this is the only way you can get the most out of the course.

What are the pre-requisites to access the Data Analytics bootcamp?

To access the full time or part time program of Data Analytics, you don't need any previous requirement: it is enough if you love learning, you are motivated and willing to work. We recommend this program to those candidates who are passionate about gathering data and extract insights out of information, they should also have a great interest in coding and creating tools to make statistical analysis.

I don't know anything about Data Analytics but I love it, could I join the bootcamp?

Of course! You should always learn more about this area, you can join our webinars and make sure that data analysis is for you. It is not necessary to have any previous training but you should demonstrate this is the path you want to follow.

What is the typical profile of a Data Analyst?

There are as many profies as students! Some of the most common areas are: architecture, engineering, business, biology and geology or social sciences such as psychology, sociology.. but it is not necessary to have a university degree or any specific education. Remember that at Ironhack we are specialized in teaching students with really diverse backgrounds.

What does the structure of the Data Analytics bootcamp look like?

The program has the same structure both in the full time or part time formats: the only difference is the duration of each module. The program is divided in three modules: in the first one, you will get started in Python and visualization tools such Tableau, in the second part you will start working with statistics and probability and in the third module you will learn the basics of Machine Learning and you will be able to do your project from scratch. You will finish the program with a final project in which you will combine the technical and analytical skills. You will work with pair programming methodology, but all your projects will be done individually

How many hours per day should I dedicate to the Data Analytics bootcamp?

In the Full Time program, you should go to class from Monday to Friday from 9am to 6pm, and then you will have a lot of extra work after class. It is a really intensive program that is not compatible with any other activity such as work or studying.

In the Part Time program, you will have class two weekdays during the evening and on Saturdays. It is compatible with your full time job or any other circumstances, but remember that all your free time will be dedicated to the program. We estimate that you should invest at least 15 hours per week, besides the attendance to class.

How will I get the skills of Data Analysis?

The training will be hands-on, guided by experts who combine teaching with their own projects and work. You will have to develop your own projects and exercises based on real life cases since day one. The best learning tool is feedback: this is key for learning at Ironhack. There are no grades or exams, this is disruptive education focused on the real job market.

Is it possible to learn all this is 3 months (Full Time) or 6 months (Part Time)?

Yes, it is possible! You will need to dedicate a lot of work, show true passion and make sure this is for you.

What is the average salary of a Data Analyst?

The salary range of a Web Developer depends on the level of expertise and specialization, as well as the specific country he/she is looking for a job. Usually, at Ironhack our students have a Junior profile and get jobs that don't require any previous experience. You can ask your Admissions Manager in the specific campus you choose, to know about the estimated salary in the country where you want to study.

What kind of job will I be able to get after graduating from Data Analytics?

Usually, the profile our students have is Junior Data Analyst. According to your expectations, experience and interests, you can specialize after or use the learnt skills as a complement to your current profession.

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