Nod

Course:
I had a fantastic exprience at the bootcamp.
The course was packed with content and it was quite alot to take in sometimes.
You definetly cant slack around at this bootcamp.
I was not really used to the fast pace of the course, but you will find ways to adapt.
With some persistence and commitment you will learn ALOT!
Main focus was on analyzing data in a variety of fields, shape and condition.
We also practiced preparing, cleaning, reasoning, questioning and story-telling which was nice.

Be prepared:
We used python for this with alot of different clever libraries to make things easier and efficient.
You absolutly need to prepare yourself with some knowledge of python basic syntax.
The programming is basic and easy but be prepared! Your focus should entierly be on data-analytics. 
Machine Learning was a really cool part, it was alot easier than expected. 
I think some academic background will be helpful, you don't need to solve complex math problems yourself since python will do it for you.
But understanding the mathmatical process behind the different statistical theories will greatly enhance your learning experience and skills.

Class:
Teachers are talented and friendly. I got alot of support and help when needed.
They worked hard from the beginning to push the class into positive vibes.
My classmates were very friendly and supportive, we had no bad apples in class.
The athmosphere in class was very relaxed and quiet during leasures,labs and code-a-longs.

Conclusion:
Don't hesitate, just do it!

The Data Analyst Program offers a fantastic opportunity for those seeking to build a strong technical foundation in the field. The comprehensive curriculum covers essential topics, ensuring that students are well-equipped for their careers.

One standout aspect of the program is the in-person seminars on statistics. These sessions provide a unique opportunity to delve deeper into complex statistical concepts, ensuring that students fully grasp the material. Having these explanations delivered face-to-face greatly enhances understanding and retention, setting this program apart from others in the industry.
Overall, this Data Analyst Program is a top choice for anyone looking to gain a solid technical foundation in data analysis, with the added benefit of outstanding in-person seminars on statistics.

This 10-weeks bootcamp has been an amazing experience and I enjoyed every minute of it! My background was that of a pure bench scientist but now I can independently analyze my own big data sets using python, which has been a challenge before. I previously had almost no coding experience, but I'm amazed by how much I learned within that short amount of time.

The curriculum covered basic python, SQL, machine learning and data analysis and visualization. I specifically liked that we were allowed to choose our own topics for the many mini-projects and I could immediately apply my new skills to my actual work field or own data.

I can only recommend it to anyone - people who want to advance their skills for their current work and people looking to change careers!

Even with prior experience, working as a BI analyst, the bootcamp was perfect. The pace is high and the coding foundation is taught in less than two weeks (I actually picked up a lot of new helpful tricks), and after that every day is packed with everything you need to know about data analytics to solve most every day tasks as an analyst. 
The mixture between teaching a concept, translating it in to code and letting the students explore it further with projects creates a wide understanding even of the most complex subjects. You can’t compare it to taking an online course, or University course for that matter. The ten weeks really fast-forwarded my coding and analytic skills with years.
But what impressed me the most was the dedication from the teachers. They work just as hard as the students to make sure that every topic is learned by everyone. 

My 10 weeks experience with the Nod Coding Bootcamp was amazing. It is very beginner friendly. Before attending the Bootcamp it took me forever to handle tables and data using Python because I spent a lot of time googling. Now I can handle data easily without checking the documentation at all (basic data overview, EDA, and visualization). Teachers are nice and fun. It was very intensive and I was tired every day but it was very amazing that at the end of the course I found I learned incredibly much.