It took me almost a year to translate my "Introduction to Data Science with Python" course into an online version. The result is a new, expanded version of the course, packed to the brim with practical knowledge.
When I came out last year with an offer of live training via Microsoft Teams, many people came back to me saying that they would love to participate, but they couldn't allocate so much time during the 3 days of training. And that's when the idea was born to professionally record everything I have to say in a studio, edit it and present it in a condensed form. 🙂
A short, simple course was supposed to come out, introducing the topic of Data Science, which I will do in 2-3 months. It didn't work out. The whole thing took me almost a year of long work after hours, but I don't regret it. During this time, I listened to your requests and opinions, added more information and in the end, a course came out that has:
I wanted to create a course that treats the topic of Data Science in a holistic way , and I believe I have managed to do that. I cover other topics that are significantly related to Data Science, such as:
The exact agenda and course description can be found on the Data Science Plus training platform. Link below. 👇
Having managed one of the largest Facebook groups on data science for the past few years, I have discovered that a major challenge young Data Science aspirants face is finding a suitable job in the industry. For this reason, I wanted part of my course to address this issue.
One lesson, several dozen minutes long, deals with this very topic. I also included a 10-step guide entitled "How to get your dream job in Data Science?" . Step by step, I guide the student through the job search process. We conduct a SWOT analysis, build a CV based on strengths, create a portfolio of projects, filter the list of potential employers, etc. Gradually, we maximize the chance of finding the right job in the Data Science industry.
Another idea that guided me was a practical approach . I tried to present everything that has a practical use in data analysis. No beating around the bush, no doing "art for art's sake". Only proven techniques, tools and algorithms.
Many people have reported to me via the contact form and on Facebook groups that most trainings and courses are detached from the reality known from business projects. My course does not suffer from this problem. 😉 During it, the course participant has to work through a real use case , which is to imitate what we deal with in real projects. He must decide for himself:
Of course, the student is not left to his own devices. With each successive module, his knowledge is gradually expanded, and as a result, the analysis becomes more and more complete. As the instructor, I only try to assist in an appropriate way and arouse curiosity about individual issues. 😉
To give you an additional example of what project work looks like, throughout the course I include a whole bunch of examples and my own conclusions from various projects that I had the opportunity to provide. This is information that you won't get anywhere else.
Although the course starts at a beginner level and gradually moves to an intermediate level, I have included additional materials for "top students" that cover advanced topics. For example, I have prepared information that expands on individual lessons, such as target encoding or linear tree .
I have also included a lot of additional, high-quality and free sources of knowledge in the course, which are intended to support the student's development for many months (and maybe even years) after its completion.
The whole thing is complemented by additional, bonus materials that I have prepared, including a tutorial, cheat sheet, presentations, bonus content that expands knowledge. 🎁 🙂
I would like to add here that each participant receives access to all materials for 12 months .
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In addition to the materials on the training platform, I have included tools that are intended to support students and make learning even more effective.
I am absolutely certain of the quality of what I have delivered and I guarantee your complete satisfaction. However, if for any reason you do not like the course, just let me know by email within 14 days of purchase and I will refund your money.
To sum up: you risk nothing and you can only gain! 🙂
The course is available for pre-sale on the Data Science Plus platform only until Friday, June 28 at a special price. I encourage all interested parties to take advantage of the opportunity.
There are many reasons to buy the course right now – during its pre-sale period (you get access to all content “right away”). Perhaps the biggest of them is the price, which is 30% lower than the regular price . A detailed description of the course, along with its agenda, can be found on the DataSciencePlus.pl website.
And that's all from me. Once again, I encourage you to buy it and wish you a quick improvement in your skills in data analysis and modeling! 🙂 I am convinced, bordering on certainty, that anyone who completes the course will be 100% satisfied. And even if you think you have some experience in data analysis and modeling, the course "Introduction to Data Science with Python" will certainly surprise you in some aspects. I recommend it! 🙂