Free Month! Get Full Access to All Courses on Our Newly Redesigned Platform

Ned Krastev 18 Oct 2021 3 min read

365 Data Science - Free Month until Nov 18th

Last week was very special for the entire 365 Team, as we launched our completely redesigned website. After months of hard work, we introduced our rebranded identity, along with some amazing new features.

We broke down the program into structured career tracks, created exams to help you test your skills and validate your expertise, and replaced the certificates of completion with prestigious certificates of achievement. To support you in your job-seeking process, we also added an in-platform resume builder that allows you to create a job-winning resume in minutes and even get contacted by our partner companies in case they are looking for candidates with your skills and qualifications.

We wanted to share all of this with you.

So, to celebrate our new start, we’re giving you full-month access to everything on 365 Data Science – for FREE!

From October 18ᵗʰ to November 18ᵗʰ, you will be able to enjoy the courses, the exams, the improved functionalities, and all the content we have created at no cost. Simply register to join in and start learning!

Those of you, who are already subscribed to our Free Plan can now access all courses just by logging into their account at

But that’s not all! In case you want to keep on learning with the complete program once the free month is over, we’ll be giving away 5 annual subscriptions to 365 Data Science.

We are happy to help you get a head start on your data science journey and invite you to share this information with anyone who might benefit from this one-of-a-kind opportunity.

Join today and start learning!

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Ned Krastev

Co-founder of 365 Company

Ned is a Master of Finance at Bocconi University with years of advisory experience in some of the world’s top international enterprises. A visionary and co-founder of 365 Data Science, he has helped thousands of students gain competitive advantage through his courses Introduction to Excel, Advanced Microsoft Excel, Data Analysis with Excel Pivot Tables, Python for Finance, and Introduction to Tableau.