You may just be starting out and already feeling overwhelmed with where to start, especially because everything you’re finding seems confusing and unstructured.
Maybe you’ve even tried teaching yourself some Data Science through Youtube and random blogs posts, but you haven’t come as far as you would’ve liked.
It seems like everyone wants to hire a Data Scientist, and yet, when you look at the requirements on job listings, you still feel like all of these jobs are so far out of your reach.
There seems to be an endless list of requirements to qualify for a full-time data scientist role.
Even if you did manage to learn all of these skills, you may still lack the required experience and practice on real data projects.
I know exactly how that feels – I’ve been there, I spent 5 years:
and now… I’m working as a full-time Data Scientist.
I tackle new Data Science problems everyday in my role, and continuously get messages from recruiters because I’ve finally developed all the skills that professional Data Science roles require.
These skills are easily attainable when taught in an efficient and structured way with the help of practical and real-life data problems for you to master your skills with.
Let me show you through an example of why this is, and relate this to why having Data Science skills so significantly benefit you and your career
Let’s take an Average Joe at an office job.
These are his skill sets, and the skill sets of all of his coworkers:
Joe’s average day looks like this:
The problem with Joe is not that he’s unskilled, but rather that the sales deck that he’ll create will look just like those submitted to the same client from other teams.
It doesn’t stand out, and there’s nothing special about it.
But notice: the new and improved Joe didn’t ignore or forget his previous skills, he just does it better and faster now, using data to back up his claims and drive new strategies, making him far more valuable and useful for producing quality, valuable and solid recommendations.
If Joe now has to create another sales deck next week for a new client, all he has to do is…
Not only is Joe doing a better job than his competitors, providing more value through his newfound skills, but he’s also made his life easier by automating his work.
But... it was also so time-consuming... and it was stressful because nobody gave me a simple path to learning everything I needed to.Everyone gave me bits and pieces of a huge Data Science puzzle that took me years to piece together on my own.
They weren't realistic for what a Data Scientist actually has to do in their job.
So for this course, I created a simple, straight-forward 10 week program that takes a total beginner to a data scientist in the shortest amount of time possible, learning everything that you would need for a professional data science job.
I created exercises that become increasingly challenging and are completely realistic to prepare you for the work that you’d actually have to do at a real Data Scientist role.
And yes, you can definitely try to learn all of this yourself. That’s what I did, but it took me 5 years to get here.
Alternatively… you could instead commit to 10 weeks of learning exactly what you need, without wasting time googling or worrying about not covering all the right techniques to land a data science role.
P.S. Did I mention your commitment would be less than 5 hours per week?
I created Data Scientist in 10 Weeks because I understand how long it takes to learn Data Science correctly, and I honestly think everyone can benefit from having Data Science skills.
When I first started 5 years ago, this is what my internet browser looked like on a regular basis:
I went through every blog and every Youtube video trying to find out what I needed to learn to become a Data Scientist, and then I tried to teach myself.
I spent a LOT of time watching videos that taught me nothing, reading different blog posts that just repeated the same basic content. Wasting all that time trying to find the right resources and never learning anything useful.
Ultimately, I just started doing my own projects. I googled every little problem I came across – and trust me, there were many – and progress was slow, but at least there was progress.
After almost 3 years of practice I finally pieced together enough knowledge and had learnt enough to qualify myself for Data Science positions.
Once I got my first job, I started learning even more, because of all of my practical, real data science projects.
The point I’m making is:
I understand how difficult it is to learn Data Science, and how most of the content out there is just a repeat of the same, simple, basic information.
Data Scientist in 10 Weeks is based on the journey I went through, providing all the information you’ll need to start qualifying for Data Science positions.
It’s organized in a way that’s easy to follow and includes a lot of practical exercises with sample solutions, that become increasingly challenging, so that you’re actually solving problems that Data Scientists do every day.
1 - Learn how to program, starting from zero prior experience
2 - Build a complex and interactive game
3 - The programming skills to let you automate your work
4 - How to manage, process, analyze, and visualize data using Python
5 - Techniques on how to debug and mistakes to watch out for
1 - How to make many different types of visualizations
2 - How to customize your graphs to make them look better and display information clearly
3 - How to make heatmaps and animations of your visualizations
4 - Exercise sheets with sample solutions for you to practice what you’ve learnt and to check your results with how I would solve the same problem
5 - Tips on good practices to have to make great, informative visualizations
1 - How to handle data with Python
2 - Analytical techniques and tools so that you can analyze your data in whatever way you want to
3 - Exercise sheets with simulated real world data so that you can solve practical tasks that are relevant to the professional world
4 - Sample solutions so that you can check your work and understand how I approach the same problem
5 - Tips on how to approach Data Science problems and how to best solve them
1 - How to interact with an SQL database using Python
2 - Grabbing data from all sorts of website and creating and automating your own web crawlers
3 - What is an API and how to use them
4 - Interacting with a social media API to get social media data and gaining actionable insights from them
5 - Learning how to get data from anywhere on the internet so that you can get the data for the projects that you’re interested in
- Gretelle, Web Development Student
- Joshua, Product Specialist & Web Developer
- Alexander, Designer
Data Scientist in 10 Weeks includes all the things I've had to learn over the past 5 years of becoming and working as a Data Scientist, and it's what I teach to more than 9,000 of my students across different platforms.
Because we are so confident in this course and its ability to turn you into a successful Data Scientist, this course offers a 7-Day Money Back Guarantee.
It’s 100% normal to be feeling this way when you’re about to make a big decision that will change your life forever.
We all have that little voice in our head that doesn’t like change, and it wants to keep things the way they are.
I’ve listed out some of the thoughts that voice may be whispering to you…
That’s okay! I don’t assume any prior experience and will walk you through everything.
Absolutely not! Most of the math I use in my Data Science career, and even in my personal projects, is middle school to high school level at most!
Most people are. This course requires about 5 hours of time invested per week, which is 1 hour a day with free time on weekends.
Asking yourself: is it worth it to do a little bit of extra work for 10 weeks so that I can finally get to where I want to be?
Imagine, in 10 weeks you could be prepping your CV for a $100,000 Data Science role, analyzing data in ways that others can’t, and automating your daily work tasks… or you could be in the same place you are today.
Programming only seems intimidating and hard because of those typical black screens and super fast-flowing code in action movies.
Darn you, Hollywood!
Programming is actually one of my favorite things to do in my own spare time – I get into a zen like flow when I program. Plus, being able to program gives you such an amazing superpower in your career and your personal life. (And not going to lie, it makes you seem and look pretty cool.)
You’d be surprised! There is still a major gap between the supply and demand of data scientists in the job market, which means not enough people are data scientists yet to match the demand that’s coming from companies and corporations.
So… if you start now, you could catapult yourself to the front of the pack, and YOU would be the one that has gotten the head start.
Oh absolutely, you can! But it’s difficult and time-consuming; it took me 5 years to get the Data Science skills I have today.
Aren’t you sick of looking up video after video, blog post after blog post, trying to piece together the different lectures, lessons and teaching style into one coherent data science education?You can learn everything you need in 10 weeks in an understandable and organized way. Don’t make the mistake of using your valuable time trying to piece together bits of information.
Remember: the faster you learn these skills, the faster you can start qualifying for Data Science positions.
Max is a published Astrophysicist and self-taught Data Scientist who has been working as a Senior Data Scientist for the past 3 years. Over the course of a few years, Max taught himself Python, C, C++, Machine Learning, Data Science, Web-Scrapping, how to interact with APIs and Data Mining out of interest and geekiness.
Now, he teaches over 13,000 students across various online platforms the valuable and highly demanded skills of programming and data science.
Beginners! It’s for complete newbies to coding, Python, and anything Data Science. This course will take you from the simplest tasks like installing Python all the way through developing an extremely complex program, creating detailed visualizations, analyzing heaps of data, scrapping the web for data, and more (But don’t worry – I’m there every step of the way)!
If you’re just starting out in your career then at the end of this course, you’ll be qualified to apply to entry-level Data Scientist and Data Analyst positions.
If you’re already working then being able to apply to higher level positions depends on your past experience in the field that you’re applying for. For example, if you’re applying for a marketing data scientist position that requires 3 years experience, you’d, of course, only be able to apply if you actually have 3 years of marketing experience.
No. Machine learning is one field Data Scientists can choose to go in, but not everyone is interested in going into machine learning, and it is definitely not a requirement for being a data scientist.
Machine learning is a specialisation that you can go into after you learn, understand, and can correctly use all the Data Science skills. However, if you’re not interested in becoming a machine learning engineer, this time is better spent specialising into the field you want to work in. Some other examples of specializations include marketing & user analytics, autonomous cars, business intelligence, and more.
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 7 days with proof of completing the first week of course content and we’ll give you a full refund.
The course starts now and never ends! It is a completely self-paced online course – you decide when you start and when you finish.
How does lifetime access sound? After enrolling, you will have unlimited access to this course for as long as you like – across any and all devices you own.
Absolutely not! All the programs that we’re going to be using are free to download and install. This course is a one-time purchase that contains everything you need to become a Data Scientist.
Each lesson is an interactive video where I live code in front of you. I walk you through everything we do, and give you an explanation for every line we write. On top of that you get a TON of exercise sheets that let you practice everything you learnt in the last couple of lectures, and I’ve also made sample solutions for every exercise, so that you can see how I would solve each problem.