Exciting Announcement!

Key Takeaways

you might have noticed that I've been far less consistent with my YouTube content this year honestly I feel like I've let down many of the people who are trying to learn this field or to land a data job in retrospect it's hard for me to see the things that I've let fall by the wayside and it's not something I'm necessarily proud of on the other hand I've taken a lot of this time off because I've been working on something that I believe in the missing piece that rounds out the content that I've been producing for years on YouTube and other social platforms I spent the last nine months building out the education stack that I wish that I had when I was learning the field the stack is designed to take someone with just basic knowledge of statistics and coding and to help them get to the level of a data scientist these courses are specifically made for three types of people or three groups one you're transitioning into data science from another field two you're a student and you want to understand the real world application of data science and three you're already a data scientist and you want a reference for brushing up on the fundamentals if you're thinking oh he's just trying to sell me another course you're only half right while the video content for the courses the flash cards and the tests are all bundled together at a really good price the most important part the Practical applications are all available for free on kaggle on GitHub and on YouTube the cool thing is that you've already been kind of taking these courses the 12 plus hours of course material they're an extension of my YouTube content that fills in all the gaps it provides you with a clear road map and also gives you real world business applications and theory on all of the algorithms we're halfway through the video and I haven't even told you the best part yet I got to build out these courses with one of my really good friends Jeff Lee what's up guys who's one of the most accomplished data scientists that I know he's currently working as a data scientist at one of the largest streaming services in the world and he was able to land at six job offers at Big tech companies during the beginning of the pandemic which was one of the toughest job markets in recent history because without saying that he really knows his stuff and he was able to bring additional practical knowledge to all of the content that we produce together in total we built three courses that make up the stack the first course is on the machine learning process where we take you through all of the steps that a data scientist goes through when doing a data science project projects can get messy so we've done everything that we can to prepare you for when you encounter one of these in the real world from Project planning data cleaning feature engineering cross-validation and everything in between we cover all of these through the lens of our own experiences next we have our ml algorithms course this one is focused specifically on machine learning algorithms that most data scientists use on a daily basis we go through the benefits and the drawbacks of each one of these and the limitations or constraints that come with certain approaches this is meant to be slightly more theoretical and we have plenty of examples on kaggle and coming up on YouTube or how you would apply these in the real world finally we have our Deep dive on business applications and coding walkthroughs in this course we talk about how real companies are leveraging many of the algorithms that we teach about in the algorithms course Jeff also breaks down from scratch coding implementations for each of the algorithms so you know how they work these can be great for helping you to prepare for an interview or just to bore your friends at dinner between the three of these courses we promise you that we've distilled everything that we know about the domain and honestly a heck of a lot more that we didn't know when we first started out on this project my personal favorite part about this course is that we included all of the GitHub repos and all the resources that we use to make these courses so you can reference them yourselves and learn from the other incredible people that are putting content out there on the internet our goal is also to improve these courses over time we did a soft launch of the courses over the last few months just to get feedback on them and have them continue to evolve we've already added more practical applications flash cards and useful resources to help you grow as the domain does just like my last course we've partnered with 365 data science to make these resources possible you can buy this bundled course for a limited time for I think around 79 but you also have the option to subscribe to membership on the 365 data science platform for this you not only get access to our data science course stack but you also get access to courses from other incredible creators like Tina Huang shashankalanathy or Pizza Hut and python programmer check out the links to both options in the description and in the pin comment below well I figure only my biggest supporters have made it this long into the video so I have some exciting news for you all as well now that I have more time because the majority of the coursework is done I can finally start producing more YouTube content again as I mentioned before these courses are meant to integrate seamlessly into the content that I produce on YouTube I'm also working hard to see how new technologies like llms integrate into the data science stack expect to see more videos around how I expect AI to impact the future and how these tools and advanced systems can be used to enhance data science work until next time I hope that our data science course stack helps you on your data science Learning Journey