Data Analytics Bootcamp (Full-time)

Ironhack offers an intensive course that covers a broad range of data analytics topics, with a particular emphasis on Python coding and Machine Learning. The curriculum is organized into weekly clusters, helping students navigate the extensive subject matter in a structured manner. Over nine weeks, students become familiar with all key areas of data analytics. However, retention of information may vary based on individual backgrounds, prior skills, and predispositions towards IT.The course aims to comprehensively introduce various topics and is responsive to student needs. However, it tends to prioritize breadth over depth, focusing more on presenting numerous topics rather than on thorough teaching. As a result, students are often shown examples of code and skills rather than receiving detailed instruction. Graduation from the bootcamp depends on the completion of "labs"—exercises based on the covered topics. These labs can sometimes feel outdated and are often challenging relative to the level of instruction provided.
In conclusion, the Ironhack bootcamp is a valuable experience for anyone aiming to apply for Data Analyst or Data Scientist positions. Graduating from the bootcamp can facilitate access to the hiring process. However, it is important to note that the bootcamp alone may not fully prepare you for the job. It is highly recommended to supplement the bootcamp with personal study and further preparation to meet the requirements of hiring companies.

Studying at Ironhack is a hell of an experience! The program is structured really well and the overall course is challenging, but in a very positive way. I absolutely recommend the Full Time In-Person bootcamp, the relationship that you can build with your peers and teachers is great and make you learn at light speed. The environment is always friendly and helpful and the overall learning experience is something that I end up loving. I really recommend this bootcamp.

I started the Data Analytics Bootcamp at Ironhack last month and I'm thrilled about the experience so far. The management is very organised, the teaching team is competent and patient, the structure of the course is very effective and enjoyable. 

I've decided to start coding and learning data science when I no longer was happy being a journalist. In 3 monthes, i've learned more than i could expect: it was trully life changing! I've got a new job in just two monthes after finishing my bootcamp and couldn't be happier! Best life decision ever!

I started the bootcamp with little to no expirience related to the field and finished it ready to work. This materialized as a job in only ten days after completing the Career Week, where they prepared me for the job hunt.It was a great way of jump starting my new career, paired with great people and fond memories, 10/10!

Doing the Data Analytics Bootcamp at Ironhack was the best choice I could've done for beggining my career as data analyst. The content of the course is very dense and complete, but the teachers know how to make you learn in a simple way. The support they give you during the couse and aftewards is amazing, you really feel they care about you and that they gonna make everything in their hands so you can learn this new abilities and get a job when the course is done.I must mention as well that the content is very up to date and they give you many tips that would take months to get by studing by yourself.Another great point is the community they have, I've met a lot of people in the area, from colleagues to alumni and even great professionals with many year of exeperience that came to tell their professional history and answer any questions we had. In addition to meet data analyst people we have the opportynity to meet people from other areas, once Ironhack have 3 other courses, and make our contacts network even bigger and diversified.

I do not have words to describe this course. It has been amazing from the staff to the colleagues and the teachers. You don't have time to feel bored or slow, every day you learn something new and the team pushes you to give your 100%. It's super rewarding because you are capable of amazing things in a matter of weeks. And once the course is done there is a career guidance week that will help you achieve your career goals. Special shout out to our super dedicated data teachers Xose and Gladys. Honestly, doing this career change is the best decision I've taken in my whole life.

The course, in general, met all my expectations and even ensured my hiring in this field as a Data Analyst in an American company.As it is a more dynamic and hands-on course option, I learned quickly and intuitively, and I have acquired the necessary skills and knowledge to enter the job market more safely.There are points that could be improved: need to review the materials, availability of exercises answers (sometimes not even the teachers' results were similar), better formatting of the final projects of each module (such as providing pre-selected options of topics/themes).

I have never thought about being able to learn so much in such a short time surrounded by really nice and professional people.I'm a career changer at 43 years old, and never felt uncomfortable (neither physically with their top-of-the-line furniture!)From the moment I came for the first time to get to know the Campus, when coincidently the same who was going to be my instructor, received me and gave very useful tips that help me to decide and choose between the other 3 Bootcamps.The program manager, instructors, colleagues, and all the events they do, together with a very updated curriculum program for the classes, make every so pleasant to learn when is time to do it.If you are wondering to start a new career in tech, don't doubt and waste your time, turn yourself into an IRONHACKER!

 From zero to hero in Data Analytics. Amazing course, amazing support from teachers, staff and classmates. Great career guidance to find a job after finishing the bootcamp, in less than 4 months I was already working as a Data Analyst in a medium-seniority role. 

I wouldn't tell you to believe anything they tell you in the selection interview, their networking in some countries is 0. Don't choose them for the networking, career week is very basic and I was promised in the interview that they would help me in the country I was in and they have no idea about the market. The quality of study is very fast, it's not because it's a bootcamp, I did two and at Ironhack they save a lot on teachers, they would need at least 3 TA's and they have 1. The reviews on GitHub are fast, you can apply to jobs with a horrible GitHub and not know it, you leave without knowing how to make a good GitHub. Personally I complained and they ignored me and now that I have a job they write to me to use me as an example and publicity, many people who come out as an example of success in Ironhack did not get help from Ironhack. It is very expensive for what they offer. The career week is about making your CV and very basic things, we didn't improve our GitHub, there was no networking and they didn't help us at all to make a portfolio, I don't recommend it.

Dear Leadies and Gentelmen,
I will share with you my terrible experience with Ironhack hoping that it will be useful to you and that you will not make the mistake I made. 
I also read a lot of reviews and saw very few negative ones, even ignoring them thinking that these were just exceptions, people who did not want to learn something new. But now I know they were people telling the truth. 
I don't want to offend anyone, I just see Ironhack as a service provider and I evaluate it as I see it.
So let's begin!  
1. The Teacher – Ignacio Soretas 
He can't speak English properly!
He has a hard time understanding what we said, of course, I understand that English is not his mother language, but this is not just about pronunciation, it’s about the word combination he uses. He just lacks the ability to explain, to express himself correctly. Also, if you ask him a question, either verbal or written, he cannot understand what you are asking him, he cannot answer the question. It happened very often we asked him the same question in 1283091238901 different ways, just to understand what we are asking him and he again either says that he does not understand the questions or starts talking nonsense. Things that have nothing to do with the question.
Example:
Question: Hey Ignacio, how to clean this data? 
Answer: It’s very important to clean your data. OR I don't understand what you're asking
#################################################################################################
It flows from topic to topic.
Very often while talking about one topic he turns to another or goes back explaining some things he forgot to say, but we talked about them 2 hours ago and now he remembered to say them.
Let me give you a similar example that will help us understand what I mean.
Let's imagine that we have a task to cook a pizza. I guess most of the people reading this post know how to cook pizza and that's why I chose this example.Here's how Ignacio Soretas would explain how to cook a pizza.
Example:
Once you bought the dough from the store now roll it out and start making a pizza, then Michael Jackson was a very famous singer of the time, I forgot to tell you that he had no children, take the pizza out of the oven and eat.
This was an example that contained words and objects that are close to our daily lives. It was easy to detect the catch, but now imagine he is talking about stuff you hear for the first time like data analysis, statistics etc... It’s impossible to understand what he means, but he left you with confusion with many questions.#################################################################################################
2. Curriculum 
The simplest and most basic things we all need to know we’re not explained. Things like how to create a table (Data Frame) in Pandas (Python library used to operate with data). How to fill this table with information. How to change the values in the table and other basic stuff.
The biggest downside is that they didn't teach us to THINK like a data analyst, they didn't teach us how to ask questions and how to check them, through the data, how to clean data, and many many more. #################################################################################################
Also, the exercises we had to do were not well structured and are not suitable for beginners. Task descriptions are very bad, it is difficult to understand what they want from us even for a person who is a native English speaker.
Very often the exercises included tasks that were not adequate for everyday life. Things that have nothing to do with us. Difficult to assimilate and thus further complicate the understanding of the task.
For example, things like some Pokemons and similar cartoon characters. We had the task to process a table with the characteristics of Pokemon and draw conclusions about them. Like ‘Who is the strongest Pokemon?’.
As you can guess for people who have never seen this cartoon and have no idea about Pokemon, the difficulty of the task increases. Once because you do not understand what information the table contains and second because you do not understand how the code work, with which you are trying to process the table.
It would be much better if the exercises contained things that are much closer to the problems in real life, things that we encounter every day, such as tables with information about food and so on.################################################################################################# 
The lectures were nothing more than reading aloud, and there was nothing of added value. Not to mention that there were days when the lectures lasted about 4-5 hours from 9 to 14:00 in the afternoon and after such a long listening nothing remains in your head.
The information should be conveyed in small steps and at small intervals, not a lot of information together.
#################################################################################################

Often they said to us that if we had questions we should ask Google or our teammates and if we failed then we would ask for help from the assistant or the teacher. Well, this brings us automatically to the question if I have to ask my classmates or Google then why did I pay you more than 7K euros?################################################################################################# 
SQL is the number 1 required skill to find a job as a data analyst, well we learn it only for one week… but spend 3 weeks in ML doing something that nobody understands, and nobody will hire us to make a model that we don’t understand how they work.
Tableau is the number 2 required skill to find a job as a data analyst but we learn it only one day! ONLY ONE DAY, yes you read right ONLY ONE DAY!#################################################################################################3. Job support is even worst. I will tell you only that few months later I can’t find a job in the analytics field,  and I will end there, hopefully, I helped you to understand what are the hidden costs of taking a Bootcamp at Ironhack.#################################################################################################Of course, there are many more bullshits around them but yea, that’s enough for now.As a summary!
STAY AWAY from IRONHACK! STAY AWAY from IRONHACK!Go to Udemy, Coursera, etc… and remember Data Analytics isn’t a sprint it’s a lifelong journey!

I enjoyed Ironhack's culture and the other students that were in the course, but the performance of our teacher and curriculum was simply not straightforward or clear. Halfway through of the Berlin's Full-time data analytics course, I withdrew from the course due to the confusion and lack of comprehensive lessons. With 7 years of data-analytics experience, I didn't think it would be confusing to understand the teacher, however it was simply painful going so fast-paced. For a course that was marketed to me with a strong focus in the curriculum, the pedagogy and pacing from the teacher didn't seem to work for me (or others in the class based on their complaints), as it often didn't make sense (i.e unnatural progression of lessons, class activities that didn't test you on the lesson just covered, or even questions that were badly written that it takes native-English speakers 10m to figure out what they're asking...) They did not use the online course features as much as they could have and relied on the teacher to provide all learnings. The teacher and the teaching assistants were very kind and did try to address my issues, however, the changes did not happen quick enough nor comprehensively.Due to Corona regulations, there may have been some consolidation of courses, which caused our class simply to be too big (about 29 students at the start, when I was told there would only be 15) - this with the fact that the teacher didn't field questions, or retained the focus of the module, questions from students (with diverse backgrounds and experience) often took the discussions to places that were not adequate for beginners.Perhaps I had bad timing and simply landed in a strange class since our original teacher had been replaced due to him getting Corona. However, Ironhack's performance has left me with a bitter taste in my mouth and I feel like they were simply a learning/teaching startup that grew too quickly to fulfill the needs of the students. They were going for quantity of students in their class not the quality of teaching/graduates. They're culture focused on "staying positive" and as great as this is, when providing criticism to the program director, they were focused mainly on "actionable" items - relying on solutions from the students, not from the teaching staff or administrative team. From those graduates that I still keep in touch with from my class, they have candidly mentioned that it wasn't the best experience for them either.

Sorry for this long paragraph, you can jump to the conclusions :)I enrolled Ironhack trying to change my careerpath, from business related job positions to data analytics. First of all, when we started the students were really enthusiastic about this course even though we knew that the experience would be really intense, in terms of learning.We started the first day and our teacher didn't know how to teach, he had really good background but we ended up being more confused than how we started (having done pre-work). Then we started complaining about the teaching quality and all they tell us is, yes, please give us more feedback. (The course is 9 weeks) During the first 3 or 4 weeks of full python learning, we learn a lot, but thanks to youtube tutorials, which leads us to spending 3-4 more hours on average than the other data analytics to complete the assignment. During the 5th-6th week we start with Statistics, and we don't understand a thing. and then 7th-8th week it's Machine Learning, magic happens here and in the classroom something breaks (some electrical supply) and we cannot use the projector, we ping administration saying hey, we have a problem, please check, don't do it the last week (we have to do a final project and we need to be really focused). At some point the General Manager of Ironhack Barcelona, Adrià Baqués, he came to our class to listen to our complains  and he basically told us that professors are like Unicorns , it's really difficult to find a good professor, so we were really happy (irony) with his intervention (which was late (but hey, better late than never)) which set us even in sadder mood. TAs in my opinion, they were good, not outstanding, they were trying to have fun all the time when we were struggling, but I also understand that's because the teaching quality was not the best.Environment and team spirit (Ironbeers), good but I think I prefer a little worse environment and better teaching quality.My conclusion about Data Analytics course in Ironhack, I think they are confused about what a data analyst does (even though they try to stress hardly the differences between Data Analysts, Data Scientists and Data Engineer), data analysts don't need a full week on Machine Learning (but I guess it's because Machine Learning seems attractive and trendy). We even weren't taught how to interpret charts or how it's better to conduct an analysis, which should be a must for any data analyst course, also SQL, we did only 1 day in SQL and in every data analyst position we are asked for SQL knowledge. Moreover, I think they should ask for feedback 3-4 times and do something with it instead of being like hey, we listen to you but we don't do anything.

In general I'm pretty satisfied with the bootcamp as I was a "0 lines of codes written" student and I graduated building projects using AI and data analytics. The main topics I think they could improve:1. Update the curriculum. There was a lack of training regarding cloud engineering when it came to the point of extracting the data. This is something that I found lacking of when going to job interviews.2. Instructors: My instructor was heading out of the institution so the general feeling in my class was that there was not a lot of effort in making us learn state of the art topics3. Job Assistance: I find profoundly unfair that I only have access to interviews with possible recruiters up to 6 months after graduation. If I would have known this I would've probably waited until the pandemic crisis passed. At least in Spain it has been a nightmare.4. Cohort building: My cohort was a mix between business graduates and STEM careers PhD's which was nice to get to know other people but we probably went more into AI rather than business analysis and this hurted my chances when it comes to job seeking. More business oriented training rather than "pneumonia detection" and "Nasa data" was the main point of discomfort.At the end what you put in you get out and if you are more interested in the business side I strongly recommend you aim your projects towards business cases rather than "cool look at what I can do" type of projects.

Excellent choice to get introduced into Data Analytics. It's been only 4 weeks and the progress is exponential. I would recommend the bootcamp not only if you want to change your career path towards Data Analytics but also to acquire some hard skills use data in other roles / industries. 

Everything you need to become a Data analyst

Amazing experience. Teaching team and staff are really pro-active and helps you on achieving your personal goals. Curriculum in the full-time is intense, not for everyone. 

In short: YES, it works!I did not have any coding experience and now I can write code to do stuff that I would have never imagined before and I now found my first job in data analytics.  The Bootcamp is composed by one pre-work module and three course modules. Each course module was 3 weeks long with daily classes and hands-on exercises. I have progressively developed knowledge and skills in Python and MySQL programming, applied statistics, data analysis and engineering. I quickly built increasingly complex data applications to collect, transform, analyse and gain insights from different real-world data sources, ultimately applying basics of machine learning and deep learning algorithms.I recommend the Bootcamp to anyone who is seriously dedicated to commit 3 months of his/her time to learn a new set of skills. It is going to be a demanding, challenging, but incredibly rewarding journey, both in terms of hard and soft skills: the more effort you will put in, the more you will get out of it... guaranteed!I strongly advise you to build some foundations in math and statistics especially, because this is not only about coding, but also also about numbers and logic, a lot! If you are not willing to deal with them, maybe consider a web-dev path.Also, keep in mind that this is going to be just a first step, for as much solid as it can be. Thus, be prepared to keep investing time in learning, it is never going to stop!As last, I have to mention that Ironhack Lisbon team is truly amazing and wll always have your back at any time. Finding your first job aftwewards is going to be up to you, but they will support you as much as they can, sharing tips, connections and opportunities (mainly with Portuguese companies). Put in hard work and trust the process! 

I was part of the first class of Data Analytics in México. It was an amazing bootcamp, all the contents were up to date and rrally relevant. What I really value about the bootcamp is the experience you get: You meet a lot of people from all professional areas and that share the same topic such as Data Analytics. Also, all the community and staff of Ironhack really worries about how you feel with your classes and tasks and really help you get the most out of the experience. I really recommend taking this course.