Are you interested in data science? Make sure to join my on-demand webinar where I talk about what it’s like to be a data scientist!
The best way to learn data science
I have been in data science education for a long time: universities, bootcamps, online courses, mentoring students. You name it, I’ve done it.
I have a very good understanding of what works and what doesn’t. In brief, here are the pros and cons of each mode of learning:
Universities
The most standard option. Universities can provide a great learning experience, but are very expensive, need at least 1 year of commitment, and are usually not very flexible.
Bootcamps
Bootcamps can be very efficient, but superficial. They are more focused on speed, and sometimes on flexibility, but not so much in depth. A bootcamp can be a great option for some people, but it is difficult to provide the same quality of education that you would get from a university.
MOOCs
Online courses and MOOCs are the most flexible option. However, they are usually not as effective as universities and bootcamps. The lack of a real life social aspect is largely to blame.
Personal mentoring
Personal mentoring can be a great way to learn and improve your skills. However, this is a good option for very committed students, as the lack of a structured curriculum and the interaction with other students can make it difficult to learn.
Enter Datalyst Academy
My experience led me to blend the best elements from all types of courses to create a unique program. This program is Datalyst Academy. I am referring to Datalyst Academy as a “next generation bootcamp” that combines elements of universities, bootcamps, MOOCs and personal mentoring, in the best possible way.
What are the benefits of the Datalyst Academy?
- It is flexible: It can fit around anyone’s schedule, and can be done in as few as 3 months, or as long as up to 1 year or more.
- Topics which are best for solo-learning, like coding, are being taught online.
- Lectures are online, but are supported by additional content, so they can fit around anyone’s schedule.
- There are offline face-to-face workshops in order to facilitate social interaction.
- There is 24/7 mentoring and support, which helps speed up learning.
- The students get the chance to work on projects of their own choice, which enables them to do things they like, or related to their work.
Get in touch if you want to know more or if you want a discount!
Are you interested in data science? Make sure to join my on-demand webinar where I talk about what it’s like to be a data scientist!