Nod Review: Learn Machine Learning In Stockholm

July 8, 2021
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Nod is an in-person data analysis bootcamp located in Stockholm, Sweeden, that promises to turn you into an independent coder capable of setting up your own machine learning pipeline within only 10 weeks of intensive and immersive coding. Classes are from 9 am to 5 pm, Monday through Friday, and are divided into new coding lessons followed by coding labs where you'll apply every new concept.

The course material covers everything needed to learn how to program from scratch, so you don't need any previous coding experience to apply. Having said that, the application process does include an initial interview and a technical assessment in order to determine if you're a good fit for the program, so it may help to go over some coding essentials available online for free before applying.

The bootcamp costs 50,000 SEK (approximately $5,800 USD) and is held quarterly in January, April, July and October. Its main benefits are a fast-learning environment in a small class size setup that maximizes interaction with instructors. It is definitely a young school and could use a bit more experience in terms of job placement and career support, but, as far as her skills go, they do a great job at covering the key topics you'll need to be successful in the tech industry. If you're in Stockholm or are able to move there for 2 and a half months and commit wholeheartedly to learn how to code, then Nod is an excellent option.

Nod is an in-person data analytics bootcamp located in Stockholm, Sweeden, and founded in 2020. It's a young school but one that is slowly carving its name in the Swedish coding bootcamp scene by accruing positive reviews from its alumni.

The school's only offering, for the time being, is its Data Analytics Coding Bootcamp, which is an in-person, full-time 10-week bootcamp focused on the Python and SQL programming languages. These are two of the most popular and in-demand skills in the tech industry, and Nod does a great job at teaching their students how to use them to tackle real-world problems.

Who Is Nod For?

Nod is designed for non-coders looking to switch careers, start a new career in tech, or simply want to add some of the most relevant skills you can have to their resume. It's a 10-week, full-time, 400-hour immersive course that requires you to put in all your time and energy, so it's safe to say that it's not a realistic option for those who currently have other commitments such as a full-time (or even part-time) job, or who are still at school.

Additionally, the fact that it's an in-person course limits its availability to those who currently live in Stockholm or who are able to move to the Swedish capital for a little under 3 months. They do not offer an online version of the bootcamp for the time being, so remote learners are a no-go with Nod.

Features & Benefits of Nod

Here are a few of the most important features and benefits of Nod:

In-Person Instruction

In-person instruction creates an environment where students can concentrate better because there will be fewer distractions, such as the ones you'll find at home. This will grant you a better understanding and a higher chance of completing the course, especially since you'll also be able to interact with instructors and peers.

A classroom also grants the opportunity to access more information since you'll be in the same place as your instructor and peers, making it easier to make yourself heard and to solve any issues that come up on the fly. This also makes it easier to make friends, problem-solve and build a network with people of different backgrounds.

Nod teaches its bootcamp in a small classroom setting that is designed for comfort, focus and productivity, with a low student to instructor ratio that ensures each student will get their turn to clear up any doubt that comes up during the labs or lessons.

Personalized Mentorship

All courses have an instructor in charge of giving each student hands-on help whenever needed. They are in charge of leading workshops and helping students with any problems they might run into during the week. Their job at Nod is to make sure that students are always able to complete all class assignments successfully.

They are the coaches that support and guide students to success. Instructors have the expertise and knowledge to teach their students how to code and succeed professionally once they graduate.

Project-based Curriculum

A project-based curriculum is a must-have feature for any self-respecting coding school today, and Nod doesn't disappoint in that respect. This means that Nod’s curriculum is built around real projects that you’ll be working on throughout the course's length. Not only does that imply that you’ll learn by doing, but also that, by the end of the course, you’ll have a set of fully functioning apps or other products that will now be a part of your portfolio.

In the coding labs, you'll be working on real datasets provided by Nod instructors, but you'll also be able to work on your own datasets or on specific projects that you're interested in. That is one of the keys to giving you both the experience and the confidence to work on your own projects and become an independent coder after your graduate.

Nod's Course List

Students who enroll in Nod's bootcamp get more than 400 hours worth of training in data analytics. The school currently only offers one program, which is their Data Analytics Coding Bootcamp.

In the following table, you'll find an overview of its basic features and cost.

CourseCourse TypeCourse LengthTuition
Data Analytics Coding BootcampFull-Time
In-person
10 Weeks
(40 hours/week)
50,000 SEK (around $5,800)

Here’s a breakdown of everything this program offers:

Data Analytics Coding Bootcamp

LocationIn-person
Stockholm, Sweeden
Class SizeSmall but otherwise not stated.
Start DatesQuarterly
(January, April, July and October)
Time CommitmentFull-Time
40 hours per week.
Course Length10 Weeks
Cost of Tuition50,000 SEK
(around $5,800)

As stated above, this 10-week bootcamp is currently Nod's only offering. It is a course split into 3 basic modules spread across 10 weeks that will teach you all you need to know to become an autonomous coder and data analyst. The main aim of the course is for you to be able to independently develop your own machine learning models, both supervised and unsupervised, so you can begin working on client projects right away.
The course focuses on the Python programming language and its libraries, as well as on SQL, plus a series of data visualization tools that will make your projects look awesome.

Skills You Will Learn

The Data Analytics Coding Bootcamp course focuses on the following skills:

  • Machine Learning, the study of computer algorithms that improve automatically through experience and by the use of data.
  • Matplotlib, a comprehensive library for creating static, animated, and interactive visualizations in Python.
  • Seaborn, a Python data visualization library based on matplotlib that provides a high-level interface for drawing informative statistical graphics.
  • NumPy, a library for the Python programming language that supports creating large multidimensional arrays and vectors, along with a large collection of high-level mathematical functions to operate on them.
  • Pandas, a fast, powerful, flexible and easy-to-use open-source data analysis and manipulation tool that is built on top of the Python programming language.

Coding Languages You Will Learn

The core coding languages you will learn in the Data Analytics Coding Bootcamp course are:

  • Python, free software environment and programming language for statistical computing and graphics supported by the R Foundation for Statistical Computing.
  • SQL, a domain-specific programming language designed to manage data held in a relational database management system or for stream processing in a relational data stream management system.

Modules You Will Go Through

Here's a general overview of the three main blocks the Bootcamp is divided into:

FIRST BLOCKIn the first block, you'll work through the fundamentals of the Python language, including data types, data structures, loops, conditional statements and functional programming.
At the end of the block, you'll be introduced to powerful Python libraries such as Numpy and Pandas, as well as dive deep into the world of SQL.
SECOND BLOCKHere we will continue to work with Pandas, and you will become an expert at cleaning, manipulating and analyzing data. You will use Matplotlib and Seaborn to make powerful visualizations.
Finally, you will get hands-on experience in applying statistical concepts using Python, like Bayesian A/B-testing, the Central Limit Theorem and Regression Analysis.
FINAL BLOCKBy this time, you are ready to be introduced to the world of Machine Learning, both Supervised and Unsupervised. You will learn to train, test and evaluate different Machine Learning models that you build using real-world datasets.
By the end of the Bootcamp, you will be comfortable building your own Machine Learning pipelines.

Job Placement & Career Support

Nod makes sure to surround you with people who will support students every step of the way and whose main focus is their success. You will also be working hand to hand with cohort classmates to solve the problems given to them throughout the course.

Nod also helps prepare you to land your dream job in tech. They do this during the last week of the bootcamp where they cover:

  • LinkedIn profile optimization.
  • Crafting your CV.
  • Job application training.
  • Technical interview training.

Other than that and all the hard skills in coding you'll get, the school doesn't offer much valuable training in other soft skills that many recruiters today look for, such as leadership, teamwork, entrepreneurship, emotional intelligence and so on.

Student Outcomes

Since Nod is still a very young school, they don't have enough data on the performance of their alumni in the tech industry, so we still can't judge them in terms of how many graduates actually manage to find jobs or the median income or salary increase after attending the bootcamp.

These types of statistics are sometimes essential to decide whether to enroll in any particular school's programs. However, no school ever started out with a track record of success stories, and in this case, the lack thereof is simply a reflection of how young the school is.

Costs, Payment Plans & Scholarships

#1 Costs

As of writing this review, Nod's Data Analytics and Coding Bootcamp has a price tag of 50,000 SEK, which is roughly $5,800 USD at the current exchange rate. This price includes a 7,500 SEK registration fee and, if you're a private customer, it also includes the VAT.

For companies hiring Nod to train their employees, the VAT is not included.

#2 Payment Plans

There are no payment plans with Nod, only upfront payment. It is worth mentioning that they accept payments both in Swedish krona and in bitcoin.

#3 Scholarships

Nod doesn't offer scholarships at the time of writing this review.

#4 Refund Policy

The school offers a full money-back guarantee but does not offer details about the conditions to get the refund. That information is available after you are accepted.

Program Timeline

Here are the specific topics you'll cover during the 10 weeks of the bootcamp:

Week 1: Introduction to programming with Python.Here you will go through the fundamentals, data structures, string operations, list comprehensions and functions to get comfortable with coding syntax.
Week 2: Functional programming, Regular expressions and objects in Python.Here you will learn and practice functions more deeply. You will also practise some Regex and API parsing before coding your own games, where you learn how to create interactive logic.
Week 3: SQL.During the third week, Nod will introduce you to SQL, and you'll write tons of queries to quickly become proficient in database handling. Here nod will also start diving into Pandas which is arguably the most important Python library for data analysis, where you learn how to handle large amounts of data very efficiently and effectively.
Week 4: Big Data Management and Analysis with PythonHere you will continue to work with important libraries as Numpy and Pandas. You will focus on data visualization with Matplotlib as well as getting introduced to web scraping.
Week 5: Big Data Management and Analysis with Python IIHere you will go more in-depth on cleaning and shaping data to make visualizations even more powerful with the help of Seaborn and Matplotlib. You will also deal with textual data.
Week 6: Fundamentals of statisticsHere, you will thoroughly go through important statistical concepts as statistics are a fundamental part of data analytics and data-driven decision-making. You will cover the central limit theorem, Bayes theorem, different distributions and more. You'll continue to use Pandas and Numpy to put your statistical skills into practice.
Week 7: Statistics in practiceHere, Nod will go into more advanced statistical concepts and introduce A/B testing, time series analyses, and multiple linear regression that students can use as assets in their individual projects. This week is an important bridge to be ready to go into machine learning as an understanding of statistics is integral to understand machine learning.
Week 8: Machine LearningHere Nod will introduce you to machine learning focusing on unsupervised machine learning covering clustering, dimensionality reduction and principal component analysis. You'll be introduced to supervised machine learning and the machine learning workflow at the end of the week, including hyperparameter tuning and cross-validation.
Week 9: Machine Learning IIMore on supervised learning by diving deep into classification and regression tasks suitable to solve with supervised learning. At the end of this week, all students are comfortable with building their own machine learning pipelines.
Week 10: Final project and career prep week!The last week of the Bootcamp will mainly focus on your final individual projects where students get time to do a fantastic last delivery to be proud of and to showcase. Nod also helps you prepare for job applications/technical interviews and assist you in sharpening your LinkedIn profiles/CVs.

A Typical Day At The Nod Coding Bootcamp

Classes are from 9 am to 5 pm, Monday to Friday.

  • 9 am to 1 pm: you'll be exposed to new concepts during codealong classes.
  • 1 pm to 2 pm: Lunch break
  • 2 pm to 5 pm: After lunch, it will be time for your daily coding lab, where you'll apply the new concepts and practice what you learned during the mornings.
  • 5 pm to 6 pm: At the end of the class, instructors review your code, check for any obvious mistakes, and offer feedback.
  • After 6 pm: If you want, you can stay after 6 pm and keep practicing and get extra help until 8 pm.

How To Apply To Nod

Step 1: Go To Their Website

You can start your enrollment process by visiting Nod's website. You can do so by clicking the button below.

Step 2: Fill Out The Application Form

On their landing page, you'll find the basic application form. All you need to put in is your name, phone number, email, age and a short sentence explaining why you want to apply.

Step 3: Interview

After applying, Nod onboarding representatives will call you for an interview to assess whether you're a good fit for Nod and whether Nod is a good fit for you.

Step 4: Assessment

If you approve the interview, you'll have to go through a technical assessment to see where you stand in terms of technical abilities.

Step 5: Enroll And Start Your Course

If you are approved after the assessment, congratulations, you're in!

How to Get Accepted

The most important thing to keep in mind when applying is that you go over some of the basics of computer programming beforehand to ace the technical assessment.

Nod User Reviews

Here are just a handful of verified Nod reviews from a few of their members:

“The course is very well organized. The teachers are very motivated and they are always there for you when help is needed. I'm very happy and surprised about how much I were able to learn in 10 weeks, both within programming and also about self growth. Overall a good balance with labs and projects, always intense and fun at the same time. I definitely recommend Nod.”Andreas Kördel.

“Extremely good balance between theory sessions and practice of what you've learned. The atmosphere at the Bootcamp between teachers and students is really good. I have both learned a lot during the weeks but also had a really fun time at the Bootcamp.”Max Larsson.

“Great Bootcamp, absolutely loved it!! They allow you to think creatively, innovatively, independently with the goal to make you a self going programmer for the future. With the combination of Theory sessions, code along, and projects they have made sure that I am ready to start working as a Data Scientist. ”Filip Lundkvist.

“I attended Nod with almost no prior coding experience. I did not know what to expect when I decided to join the program but in these ten weeks, I’ve felt like I have learned so much. I now can confidently say that I know Python, SQL, Pandas, Machine Learning, Data Visualization, and so much more! The way of teaching at Nod is absolutely perfect for me personally, every day when going home I have learned something new with the perfect mix of theory, practice, and individual projects.”Vincent Wallenborg

“I did this bootcamp in the autumn of 2020 and could not be happier about it! I had some experience in java but wanted to learn python, pandas and SQL since im inrerested in machine learning and have realised during this course how important these skills and how sought after they are amongst employers. Even though it had a steep price it was worth every penny and i have gained a new perspective of what i want to work with in the future.”Axel Tevell

How To Contact Nod

In the following table, you'll find the most important contact info so you can get in touch with Nod to learn more, ask any questions you may have or sign up.

Phone+46 762 19 68 96
Email[email protected]
Social Media
Apply Now button
Mailing AddressTegelbacken 4A, Stockholm, Sweden

In Summary

Nod is a great option for those living in Stockholm and who want to learn how to code either to switch careers, start a new career or simply boost your skillset to set yourself apart from the competition in your current career. Considering the fact that it's an in-person bootcamp, the price point is manageable. Sadly, they don't offer an online version of their bootcamp, so the only way to attend is if you live in Stockholm or can move there for around 3 months.
Nod promises to turn you into an independent coder capable of setting up your own machine learning pipeline (supervised and unsupervised) within only 10 weeks of intensive and immersive coding. This is an in-person and full-time commitment that is not really an option for those currently holding a job or still at school. Other than that, pretty much anyone who has the drive and desire to learn how to make sense of vast amounts of data and produce meaningful insights that will guide decision-making in any enterprise will benefit from attending this bootcamp.

Even though the course covers coding from scratch, the application process includes an initial interview and a technical assessment to determine if you're a good fit for the program, so, to increase your chances of being accepted at Nod, it may help to go over some coding essentials available online for free before applying.

The bootcamp costs 50,000 SEK (approximately $5,800) and is held quarterly in January, April, July and October. Its main benefits are a fast-learning environment in a small class size setup that maximizes interaction with instructors. It is definitely a young school and could use a bit more experience in terms of job placement and career support but, as far as hard skills go, they do a great job at covering the key topics you'll need to be successful in the tech industry. If you're in Stockholm or can move there for 2 and a half months and commit wholeheartedly to learn how to code, then nod is a great option.

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