The Junior Data Scientist's First Month
(Class of February, 2020)

A 100% practical online course. A 6-week simulation of being a junior data scientist at a true-to-life startup.

"Solving real problems, getting real experience - just like in a real DS job."

Everybody talks about how exciting is to be a data scientist.


But when you actually want to become one, nobody shows you what you'll have to do day by day when you'll go to the office and run real data projects for real businesses. 


In this 6-week online course I'll show that to you.


Even more: I'll let you try and experience what data scientists do in real life!

"This is a 100% practical data science video course, where you will get the true-to-life data set of a true-to-life startup and use it to solve true-to-life data science tasks."

The things data scientists really do...

Here's a short list of what data scientists do in real life:

  • Coding. That'll take ~70-80% of your time as a data professional. Data cleaning, data wrangling, data analysis, etc. - mainly in SQL and Python.
  • Automating stuff. We don't like to do repetitive tasks, we make the computer do it for us.
  • Discovering and understanding the data.
  • Running analyses (or machine learning projects) to get insights and create business value.
  • Thinking. Data science is a difficult profession. To know what is the right project to start with - and later to understand your research results - you have to spend time thinking.
  • Learning new things. Data Science is a new and rapidly growing field of science. To become great and stay great, you'll have to learn new things continuously.
  • ...

As you can imagine, many of these tasks require strong technical skills - as well as critical business thinking and a self-starter attitude.


You'll have to know how to write complex queries in SQL, 100+ line long Python scripts and how to use an actual data server in the cloud. But you'll also have to know the business reason behind your data project.


Data Science is complex but you can learn it and train yourself to be prepared for the challenge!

Side note: two things data scientists don't do... (click for drop-down!)

Let's get prepared for a real d​​​​ata scientist position!
Steepen your learning curve and solve real data science challenges!

When I asked a previous student of this course why he took it, he said:

"Because this is the only data science course where I'll have to set up and work on a real life data server."

Yes!


JDS gets you prepared for real life data challenges.
But you can get prepared only if you practice on a real life data environment.


Of course, the course is much more than that.

I carefully hand-picked the most important (and most common) tasks that you will do as a junior data scientists in your first years. In JDS:

  • You will create your own data server. (Good for further practicing even after the course ends.)
  • You will download a true-to-life data set. Just like in real projects, the fresh data will flow in day by day. So you will set up a data download automation, too.
  • You will clean the data. (And automate it, as well.)
  • You will load the data into SQL tables and into Jupyter Notebooks (Python).​​​​​​​​
  • You will run various data analyses to create business value.​​​​
  • You will create automated data visualizations.
  • You will run two simple but effective machine learning projects, too.
  • And many more things...
junior data science course real life like tasks

I structured all these and built them up as one 6-week end-to-end case study of a fictional startup. While you are solving it, you will build your first true-to-life data project together with your data skills.


I've put a great emphasis on finding the right balance. The course is easy to follow, still challenging enough to keep you motivated for the whole six weeks.

junior data scientist course testimonial nisha

"This course indeed gives you a sneak peek of a junior data scientist's life. Each and every task is very relevant to the core." 


- Nisha, Singapore (previous JDS student)

Note: Nisha works as a Junior Data Scientist now.

SQL and Python will be your most valuable skills

SQL and Python are the two most popular and most commonly used data science languages. That's why I chose them as the primary languages we'll use in the course.


The market value of these two languages are quite high as well. Which means that if you master Python and SQL, you won't have a problem to get a job in the next 10 years (or more).


Why am I so certain about that?

For two reasons:

  • 1
    Python and SQL are used for decades. They are trending ever since then. And they will stay for another few decades for sure.
  • 2
    The shortage of data scientists continuously grew in the last few years. According to Linkedin's 2018 workforce report, there is a shortage of 151,717 people in the United States. And based on my experience this is not a US only but a world-wide trend.

So focusing on learning Python and SQL, the two main languages of data science might be the best investment of your life.

The mindset that will help you to solve all your future data challenges

Besides Python and SQL there is one more thing that will make you an outstanding data professional.


It's the mindset how you approach a data problem.


Data Science is all about thinking critically, solving problems and just in general: finding the smartest way of doing things.


It's hard to learn this mindset from books - it's much easier to learn it via practicing.


The Junior Data Scientist's First Month course is designed so you will meet with data problems that if you can overcome once, you won't just learn how to solve that specific problem but also how to approach all similar data problems you might meet during your entire career.

junior data scientist course testimonial asmeeta

"It is a different course and this is where you will definitely make a remarkable change in your learning curve. But what makes it even better is the way the coach, Tomi ensures that everyone is on track, understanding the course material and enjoying it." 


- Asmeeta, London, United Kingdom (previous JDS student)

Note: Asmeeta currently works as Management Information Analyst.

Are you ready for a real job?
Get your data science knowledge evaluated!

One of the most common questions I get from JDS registrants is this:


"Where will I get by the end of the course? Will I be ready to apply for a job?"


As much as I'd like to answer "yes", my answer is still: "it depends on you".


I mean, there are great student success stories. Quite a few students got hired right after finishing the course - or just in a few months. So yes, it's totally possible that you will be one of them, too! In fact, I want you to be one of them!


But that depends on many things:

  • your commitment and your ambitions
  • how hard you work during this 6 weeks
  • your prior knowledge (are you completely new to data science or you are coming here with some prior knowledge)
  • ...

There are two things I guarantee though:

  • By the end of the course you will see a significant improvement in your learning curve.
  • At the end of the course, I'll personally evaluate your skills in a 1-on-1 Skype session and will give you feedback whether you are ready to apply for your first DS position or not. And if not, I'll also highlight which skills of yours should you improve further and how.
junior data scientist course testimonial marcus

"During the course, it felt like Tomi was mentoring me, showing his workflow, inspiring me and also challenging me to think critically. This data science course definitely gave me confidence and direction to keep developing myself in this area."


- Marcus, Stockholm, Sweden

How this course works. 
Watch this video first!

As you can see, the Junior Data Scientist's First Month video course is a 100% practical online data science course, where you will get the true-to-life data set of a true-to-life startup and use it to solve true-to-life data science tasks for 6 weeks.


Let me tell you a bit more about the details!

Here's a video where I summarize everything you need to know about the course:

The schedule of JDS

If you enroll, you will receive a data science task every Monday, Wednesday and Friday for six weeks. One or two days after receiving each task you will get the solution from me: the code base sent in text format and the detailed explanation sent in video format.


The tasks guide you through exactly on those steps that you would go through as a junior data scientist at a real company.

junior data scientist course testimonial nuno

"I thought: Bash, SQL, and Python in just six weeks? Then the course started, Tomi supplied the materials in chunks to not overwhelm his students and thank god for that. The course was easy to follow, with real-world exercises/problems…"


- Nuno S., Cape Verde

Curriculum - The agenda of the 6 weeks

WEEK #1

Monday

Intro videos. Setting up your own data server (with SQL, Python, pandas, numpy, etc.) (with free coupon for DigitalOcean.)

Wednesday

Get the raw data! Download and transforming the raw data of the Send-a-Tree startup.

Friday

Automating the dataload.

WEEK #2

Monday

Putting everything into SQL.

Wednesday

Automating the SQL import process. Running exploratory data analyses.

Friday

Creating and analyzing user segments. Giving advices to the hypothetical marketing department.

(Beginner SQL task)

WEEK #3

Monday

Complicated segmentation task with revenue calculations. (Intermediate SQL task)

Wednesday

Figuring out the right business metrics. Creating the SQL query to get it! (Advanced SQL task)

Friday

Visualization. Presenting and automating the business metrics! (Google Data Studio)

WEEK #4

Monday

Creating funnel analysis to measure the purchase process. Generating the visual for it. (Advanced SQL task)

Wednesday

Warm-up task - cohort analysis in Python for a smaller data set. (Basic Python task)

Friday

Cohort analysis on our real data set. (Basic Python task)

WEEK #5

Monday

Basic predictions with Python. (Intermediate Python task)

Wednesday

Predicting the number of expected registrations with two different regression models! (Intermediate Python task)

Friday

Categorizing the unknown values with classification. (Advanced Python task)

WEEK #6

Monday (The Final Test Task)

You will get a new data set from another fictional startup and a final task to test your freshly gained data science knowledge. You will have 4 days to solve this new task, and if you send me your solution, I'll personally evaluate it and give you feedback about it through a 1-on-1 Skype session.

Friday

Deadline for the final test task.

You will get access to these things:

  • 16 exciting data science tasks
  • 26 video solutions (~5 hours in total) with in-depth explanations
  • 16 code-based solutions, immediately usable
  • Dedicated class Slack group and the power of networking with fellow students 
  • 1-on-1 call to discuss your career path and other questions
  • email Support - if you get stuck
  • +1: free access to another video tutorial on how to install your data server so you have your own data environment to practice
junior data science course materials

And one more thing:

You will get lifetime access to all course materials (tasks, videos, solutions) and to all future updates!

junior data scientist course testimonial stephen

"The course sets you up with everything you need to get going. More importantly, it was clear that Tomi was going to be a friendly and relaxed mentor."


- Stephen, United Kingdom

junior data scientist course testimonial robert

"The Junior Data Scientist course provides a very practical, approachable, and enjoyable tour of the actual processes and tools required to turn raw data into actionable insights. I highly recommend it and Tomi who was responsive and helpful throughout the course."


- Robert, California, USA

A sneak peek into the course curriculum

I've created a short screen capture video to make it more transparent what does it look and feel like to be a part of a JDS class.

(I've recorded it at WEEK #4 of the Class of March, 2019.)

The Junior Data Scientist's First Month video course will take you here...

  • You will have real experience with the three most important data science languages: Python, SQL and bash!​​​​
  • You will have hands-on experience in solving real tasks. You will get more confident with data science in general which will help you to perform much better on job interviews.
  • You will get a clear understanding what it takes to be (and become) a data scientists. What are the tasks you will solve during the job and what skills are needed for them?
  • You will get an overview about where are you at in the process: whether you are job ready or not (yet)? The course will spotlight your strengths but also the areas where you have to improve yourself.

I wanted to create a unique online course.


(As far as I know) this is the only data science course where the whole curriculum is based on a simulation.

​Again, in JDS: you will get the true-to-life data set of a true-to-life startup and use it to solve true-to-life data science tasks.


I fine-tuned this course for 1.5 years and now at its final format I really believe that it's a different data science course:

  • it's challenging
  • it makes you think
  • it makes you practice

Two frequently asked questions

"How big is the data set we will work with?"

"What languages will we use in the course?"

Send-A-Tree, the hypothetical startup you will work on

(a video from the intro section of the course)

W​​​​ho is this for?

The Junior Data Scientist's First Month video course is designed for aspiring data scientists and for those who wants to generally see and experience what does a data scientist do.


But I've seen a few common profiles in the 150+ students who already took this course.

Let's break it down:

  • 1
    Young professionals and (freshly graduated) university students. Most universities can't prepare you for a data science job. They teach you basic skills but usually they don't show you the big picture and how these skills work in context. I'll show that to you so you can fill all the gaps in your DS knowledge -- the way you couldn't do in a university: by practicing.
  • 2
    Marketers. If you are a digital marketer, you already have an important data science skills at your hand: business thinking. We will upgrade that to business thinking with data. And more importantly, you will learn Python and SQL so you can take advantage of those in your day-to-day job, as well as in your whole career.
  • 3
    Data Analysts. If you are a data analyst who used the data tools (Excel, SQL, maybe Python), this course will take your knowledge to the next level. The end-to-end case study you'll solve will help you to get a great grasp of data science. And of course, you will learn many new things that will make your daily job easier, faster and more fun - starting from tomorrow.
  • 4
    Engineers. I know, engineering is a well-paid job, too. And I know that if you are an engineer, you are looking at data science to find something more exciting that you are currently doing - or simply to widen your perspectives. Besides, if you don't know Python and SQL, here's an opportunity to learn them in a fun way.

In either one of these groups you are, the Junior Data Scientist's First Month course is the perfect choice for you.


If you are in none of these groups and unsure whether this course is for you or not, send me an email to tomimester@data36.com and we will figure it out together. (Don't worry, I won't want to make you enroll if I don't see that this is the perfect fit for you.)

A personal thought

Learn Data Science the Hard Way!  (click for drop-down)

Presenter

Tomi Mester is a practicing data analyst and researcher for 7+ years.


He has worked for Prezi, iZettle and several smaller companies as an analyst/consultant.


He’s the author of the Data36 blog where he writes posts and tutorials on a weekly basis about data science, AB-testing, online research and data coding.


He's an O'Reilly author and presenter at TEDxYouth, Barcelona E-commerce Summit and Stockholm Analytics Day. More info about Tomi: check out the intro video. >>

Details

Start date: 17 February 2020


You will receive a data science task every Monday, Wednesday and Friday for six weeks (until 30 March 2020). After that, you will have unlimited access to this course and for all the tasks for as long as you like.


Price: $497 (plus your country’s VAT if you live in the EU)


The max. number of attendees is 40!


ps. If you are from Hungary, please email me before you register: tomimester@data36.com.

Guarantee

In the last two years I worked really hard to make this course the best. 150+ satisfied students already took it.

And if you made it this far with reading, I assume you want to take it too.

I understand that enrolling in an online course is not always an easy decision, so I made this decision totally risk-free for you: there's a 30-day 100% money-back guarantee.

Registration

The registration for the next class (Class of February, 2020) opens on 10 February 2020, Monday.

If you'd like to be added to the waiting list, just enter your email address below, and you'll be the first to be notified when I open registration.

Testimonials.
(Previous Students Say...)

junior data scientist course testimonial nisha

"A big shout-out to Tomi for coming up with this remarkable course. As the name suggests, this course indeed gives you a sneak peek of a junior data scientist's life. Each and every task is very relevant to the core. I strongly feel that this is a perfect learning platform (including the blog!!) for someone who wants to get into the field of data science and has a limited programming background.


Yes, I was one of them and it did help me in getting the basics right and I hope it will help others too. Good luck to the future participants."


Nisha, Singapore
(Note: Nisha works as a Junior Data Scientist now.)

junior data scientist course testimonial balazs

"I presented Send-A-Tree (the hypothetical startup project from the course) as a sample case study during my interview session for a Data Analyst job. I've got hired. Now, I am working there as a full-time DA."


Balazs, Budapest, Hungary
(Note: Balazs works as a Data Analyst now.)

junior data scientist course testimonial asmeeta

"Following the promising reviews for JDS course, I registered and successfully completed the course. My aim was to refine my data analysis skills. It is a different course and this is where you will definitely make a remarkable change in your learning curve.


But what makes it even better is the way the coach, Tomi ensures that everyone is on track, understanding the course material and enjoying it. In my case, I really enjoyed the course and did not feel it stressful even if there was a lot of new material. I would therefore, highly recommend it if you are seeking to start or improve your analytics skills. Big thanks, Tomi!"


Asmeeta, London, United Kingdom
(Note: Asmeeta currently works as Management Information Analyst.)

junior data scientist course testimonial tomi g

"This course provided me with a lot of insights about the necessary coding skills as well as the business thinking which every Data Scientist should have!"


Tomi G, Berlin, Germany

junior data scientist course testimonial greg

"The BEST online training course for Data Science on the market, in my opinion! I learned more from Tomi's JDS course than I've learned from the two previous online courses I enrolled in---COMBINED!"


Greg, Pennsylvania, USA

junior data scientist course testimonial nuno

"I've been following Data36, and I knew that Tomi was a great Data Scientist but I never thought that he was this good at teaching. When I saw the syllabus I was afraid that six weeks would be too short for it. Bash, SQL, and Python in just six weeks? Then the course started, Tomi supplied the materials in chunks to not overwhelm his students and thank god for that.


The course was easy to follow, with real-world exercises/problems and a dedicated teacher that was available via Slack, Email and Call. If you ask me, it can't get better than that."


- Nuno S., Cape Verde

junior data scientist course testimonial marcus

"This course is very well designed and well paced. The videos and tasks took just the right amount of time to be completed, exactly what I needed to stay engaged to be able to finish the course on time.


During the course, it felt like Tomi was mentoring me, showing his workflow, inspiring me and also challenging me to think critically. This course definitely gave me confidence and direction to keep developing myself in this area."


- Marcus, Stockholm, Sweden

junior data scientist course testimonial stephen

"I found Data36 while thinking about what to do with my career on a sandy beach in Bali. After going through a number of Tomi's SQL tutorials and webinars I decided to go a step further and take the course.


The course sets you up with everything you need to get going. More importantly, it was clear that Tomi was going to be a friendly and relaxed mentor. The course content set you up with a technical foundation but also the mindset that gives you the capacity to approach the tasks successfully.


The course was more than manageable with a full-time job. When I did feel slightly against it, Tomi was more than happy to extend the deadline for personal feedback. I felt like I had achieved a lot after 6 weeks, so a big thank you to Tomi!"


- Stephen, United Kingdom

junior data scientist course testimonial robert

"The Junior Data Scientist course provides a very practical, approachable, and enjoyable tour of the actual processes and tools required to turn raw data into actionable insights. I highly recommend it and Tomi who was responsive and helpful throughout the course."


- Robert, California, USA

Frequently Asked Questions

How long do I have access to the course?


How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like.


How big is the data set we will work with?


The dataset grows day by day during the course as the new user data flows in. By the end of the course, in total you will work with a data set of 2.5 million lines and around 12 million data points.


What languages will we use in the course?


We will mainly use SQL and Python. And we will also use a little bit of bash. In this course, we won't work with R.


What if I don't know Python, SQL and bash yet?


If you don't know SQL, Python or Bash - or none of them - don't worry, most of the course participants are in the same situation. The point of this whole course is to show you the missing pieces of your current data science knowledge - for some this is less, for others this is more - and make you learn those missing parts via practical exercises. Just so you know, I’ve even had participants who started the course without knowing any of these data languages and they successfully finished it… Of course, they had to work harder than other participants but I think it was definitely worth it for them.


How much time does a task take?


A task will usually take 1 to 3 hours of active work, depending on your current data science knowledge.

What if I fall behind with a task?


This is an online course where you have lifetime access, so if you fall behind, don't worry, the course is flexible. You can open the task and the solution anytime you want.

If you don't have that much time during the week and want to play catch up on the weekends: no problem! With that said I recommend to lock out 2-3 hours in your calendar for each task.

That will make it much easier for you to keep in line with the course pace and stay motivated throughout the entire 6 week while you see and feel your continuous progress.


Will I get an invoice?


Yes. Individuals get a receipt in the email. Companies get an invoice. EU-based companies get VAT-invoices. If you need something even more special, just reach out to me (tomi@data36.com) and we will solve your administrative issues!


I want to have this for my whole company!


Happy to hear that! Send me an email to workshop@data36.com and we will sort it out! (I hold 1-day live workshops, too.)


What if I am unhappy with the course?


I would never want you to be unhappy! If you are unsatisfied with your purchase, contact me in the first 30 days and I will give you a full refund.