Introduction to Data Science course
(online course)
Get up to speed with data science in 2 hours!
Case studies, practical examples and all the key concepts explained.
So you heard that "data is the new oil" -- but you don't really know what that means…
Don’t worry, no one else does either.
Data Science has gotten popular in the last few years. Still, a lot of the associated concepts are unclear or misunderstood. There’s a communication gap between practicing data professionals and people who just want to get started in this field. If you are an aspiring data scientist — or someone who comes from the business side — I have good news: with this course we’ll close this gap for you!
AI? ML? Deep Learning? Big data? What is what within data science?
You hear a lot of buzzwords these days regarding data science. I don’t want to hurt anyone’s feelings here… but in the popular media these words are actually used randomly without any relevance. They pick a buzzword, and they write the same nonsensical article.
In this course, I’ll demystify everything. I’ll clarify all the data science related buzzwords and show you what they really mean in their professional sense! I’ll provide a lot of examples and even a step-by-step case study which will help you to clear up all the confusion.
Your headstart with data science
Whatever is your exact end-goal with data science, to get started with it, you’ll have to have an overall understanding of it. There are so many available articles, books, and videos out there. It’s almost frustrating! You could literally spend years going through all these only to get the basics.
So I wanted to create something that will give you a headstart with learning data science.
The Introduction to Data Science course is a compact yet comprehensive course, by design. In other words, there is everything in it that you’ll need and nothing that you won’t.
Curriculum -- Introduction to Data Science course
- What is Data Science? (A few examples and a useful definition.)
- Case study: a typical data science project step by step. (Case study.)
- What is what? Clarifying the commonly misinterpreted key concepts. (Machine Learning, Artificial Intelligence, Predictive Analytics, Deep Learning, Big Data, etc.)
- Different data professional profiles: Data Engineer, Data Analyst, Data Scientist, etc... (Who should be good at what?)
- 14 typical data science projects explained with examples (from beginner to advanced level)
- How to get started? (A few tips, if you want to become a data scientist.)
This is an introductory data science course. There are no prerequisites. We’ll start from scratch and we’ll clarify everything with examples.
Easy-to-understand, real-world examples. (Without buzzwords.)
Since 2014, I’ve held data science online courses and workshops for over 2,000 participants, all over the world.
I have two key-principles: (1) being practical and (2) being easy-to-understand.
I put an extra effort into breaking down complex data science concepts and explaining them in a way that everyone can understand them. The best “tool” to do so is to use a lot of examples and true-to-life case studies. So there will be no shortage of these in the course. Most data science concepts will be introduced using examples — coming from my or my colleagues real-life practice.
Who is this for? Prerequisites.
This is an introductory data science course. So there are no prerequisites to enroll. We will start from zero and go through every key concept thoroughly.
The Introduction to Data Science Course is designed for everyone who wants to invest 2 hours in furthering their career.
But hey, if you want to see proper “target groups,” here they are:
- aspiring data scientists
- online business professionals (specialists or team leads)
- digital marketers (SEM, SEO, PPC, Social, etc.) and UX professionals
- data analysts and digital analysts (working in Google Analytics and/or in Excel)
- HR professionals
- finance professionals (working in Excel)
Note: I’ll bring many data science project examples from the online world (e.g. startups, e-commerce business, online business, etc.) — as I have a lot of experience with these. Regardless, most of the things, I’ll show you can be applied for offline projects, too (e.g. in a factory).
I had over 2000 participants in my data science courses and workshops — from companies like:
and many more…
After finishing this 2-hour data science course:
- You'll clearly understand every key concept related to data science -- so you can use them properly when you talk with your colleagues, managers and even with practicing data scientists at your company
- You'll have a clear picture about what works how and why -- so you'll understand how you can profit from applying data science.
- And hopefully you'll get inspired and will have enough base knowledge to get started with your own data science career!
Presenter
Tomi Mester is a practicing data analyst and researcher since 2012.
He has worked for Prezi, iZettle (acquired by Paypal) 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.
Check out the intro video for more info >>
Details
Registration: The Introduction to Data Science course is a completely self-paced online course – you decide when you start and when you finish. If you enroll now, you’ll get immediate access for to all course materials. You’ll have lifetime access, too.
Price: $47 (plus your country’s VAT if you live in the EU)
ps. If you are from Hungary, please email me before you register: tomimester@data36.com.
Guarantee
I worked (and will keep working) really hard to make this course the best available, and I stand behind it 100%.
I understand that enrolling in an online course is not always an easy decision, so I made this decision totally risk-free for you: if you request one, I’ll give you a full refund within the first 30 days.
Registration
This course became the part of the Junior Data Scientist’s First Month bundle. You can get access to it, if you enroll in the Junior Data Scientist’s First Month course, here:
Frequently Asked Questions
Are there any prerequisites?
No.
This is an introductory data science course. There are no prerequisites to enroll. We will start from zero and go through every key concept thoroughly.
When does the course start and finish?
The course starts now and never ends! The Introduction to Data Science course is a completely self-paced online course – you decide when you start and when you finish.
Will I have to code in this course?
No. This is not a hands-on course. Videos only. As I said… introduction! 😉
How much time does the course take?
It depends on you. Watching the videos will take ~2 hours. You can speed them up to finish faster — or you can spend more time by digging deeper into the links I listed at the end of the course.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have immediate and unlimited access to this course for as long as you like – across any and all devices you own.
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.
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.)
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