Correlation One

I recently graduated from Correlation One's Data Science 4 All program as part of their second cohort. I didn't know what to expect going in, but I knew it would be very beneficial to become well-verses in data analysis. Correlation One gave me more than I could have bargained for with not only very knowledgable professors and TA's teaching us in-demand skills, but also building a community of peers — a network of some of the most talented and driven people I've seen — that I can stay connected with through the long-term.

I've been recommending this program to everyone because outside of your time and effort, there's nothing else this program requires. It's free and accessible for all. 

Since joining this program I not only acquired foundational skills in data science, but I also got a new job and doubled my salary. Don't wonder when the time is right to pivot in your career; make the moves to get you to your goals. 

This program was fantastic. It had theoretical and practical teachings and mixed in professional development and career exploration opportunities. If you come in with no Python experience, this will be a huge learning curve for you to overcome. I took one course and actually struggled initially. It's hard to get a gauge of whether the content was difficult to master or that I did not put enough time into my learning, however I do think if they provided readings or supplementary practice for the code that we learned, it would've been easier for students to follow along in class and not fall behind.    

Something I did not like was the lack of guidance for the final project and the very small offering of entry level roles through sponsor partnerships. It was expected that people with no data science, and sometimes no business or research background, take a data set and produce something useful. All we had was a mentor to give us guidance once a month and then a TA (who has a full time job as well) to support 20 groups. I think the idea was great but the execution not so much. Secondly, many of the job postings that they had on the website were like mid level and higher positions. Makes me wonder if theres a mismatch in the needs of organizations and training provided, or if more of the students accepted into this program actually already had substantial experience in data science.

My experience in the Correlation-One DS4A/Empowerment training fellowship was amazing. To give context on my background, I have two graduate degrees and attended two universities that are consistently ranked in the top-5 university programs in the world. I also have several years of management experience at Fortune-100 companies and despite these credentials, I have found it near impossible to find work in the technology sector. Part of the reason (I believe) is that technology firms are historically underrepresented by BIPOC/LBGTQ+/Veterans/Women. In fact, this is the problem Correlation-One aims to solve. The other reason for not finding meaningful work in the technology sector was my lack of data analytic skills. I have always been a consumer of analytics --BUT-- I was never a producer of data or analytics. And while some professionals may never need to be data producers (i.e., someone that captures, wangles, and publishes meaningful data insights), Correlation-One believes that for the aforementioned underrepresented groups this is a critical skillset needed to get into tech-forward companies and excel at those companies. I agree.

The genius behind this data science training is that you, the learner, will never have to rely on just one vocational sector. Data science and analytics impacts just about everything, from healthcare to equity trading to solving the COVID-19 crisis. And the best part about attaining this knowledge is that you can use these skills for the rest of your life. You can work for a company. You can become a consultant. You can do one-off, ad-hoc projects. There is literally no limit to what you can do once you become a data scientist or analyst. As for me, simply mentioning on my LinkedIn profile that I was accepted into the DS4A program generated a lot of conversations with recruiters from top-tier, household name technology companies... before I even matriculated from the program! That is the opportunity that comes with being a fellow in the Correlation-One program.

About the program: You do not need to know how to code prior to admission. You will go through a pre-foundational Python course (that you must complete successfully) prior to moving to the focus of the program, data analytics. During the pre-foundational Python program the instructors literally lead you by the hand to make sure you understand what you are learning. They want you to succeed. I have been a part of "weed-out" academic programs and this is not one of them. This is an "all-in" program where everyone from the co-founders to the TA's to the mentors want you to succeed. That said, some of my peers did not make it out of the pre-foundational tier, possibly due to other priorities or being overwhelmed. I do not know why some did not move forward to the second tier of the program but I would argue that it has nothing to do with "smarts." The admission rate is less than 5% so all that were admitted have the skills to succeed.

The second tier of the program is where the magic happens. You learn so much in the first couple of weeks (data cleaning, data wrangling, analysis and interpretation, visualizations, etc...) and it is extremely satisfying. You work on real-world problems and the skills you learn can be applied immediately. All of this learning is ultimately displayed in a team project that you will submit toward the end of the program. You will apply everything you've learned in a project of your team's choosing and you will present it to your class section. But, the course is not just all code and analytics. There's music! Lot's of good music. And there are speakers from industry to talk to you and will connect with you on social media. As I mentioned previously, everyone associated with Correlation-One (partners, speakers, mentors, lecturers, staff) from soup-to-nuts *wants* to see you succeed in this program. In fact, the partners are paying for your education --and-- will offer you employment if your skills and professional background fits their needs. 

So, what is my negative feedback? None. I have been fortunate to attend some of the best universities in the world and I can honestly say that DS4A has been my best academic experience. I even shock myself when I say that but it's true. Prior to being admitted to DS4A, I researched other data science programs but for some of those programs cost was a barrier and for other programs the quality of the curriculum was questionable. Correlation-One is a fully, vertically integrated training fellowship and the team has thought of everything; they teach you the fundamentals, they take a deep dive into data science and analytics, they have their own job portal for graduates with jobs from the underwriters of the program, you keep the learning materials forever, you have access to the recorded lectures forever, you build a strong cohort of like-minded data scientist in every vertical imaginable, you obtain a verified certificate upon graduation, and they keep in touch with you even after you've completed the course. There are many more benefits but I am running out of space to write.

Bottom line, I was blown away with what is offered to fellows of Correlation-One and it is my belief that no other data science program can match their offering. I am so happy that I found Correlation-One and applied. And I am even happier that they have accepted me into their community.

It is fairly intense, especially if you don't have a programming background. However, they offer a free pre-course for Python if your results indicate you should improve that. 
I loved that there was a big focus on business insights not forgetting the technical part (mainly with pandas and SQL). I think they have a really clear vision of what the market is asking for a Data Scientist and that's what you'll get in this course!. Besides, you'll be working and learning with people of diverse ages, ethnicities, nationalities, educational/professional backgrounds, etc. Plus a really inclusive and friendly environment with the best music within sessions B)

I feel extremely lucky to part of the family of this world class organizion,  as a Data Science student. Throughout my stay with DS4A, I have acquired highly demanded skills and knowlege in the in ever growing Data Science field. The abundance of resources I gained from their world class instructors, mentors, TA's  and classmates was beyong what I have ever emagined. It's just a great blessing to be around with people with endless generosity and willingness to help.  I hope eveyone that's keen to learn gets the valuable opportunity to be part of these wondeful project.

I don't know where to start. Even though I am a Master's student in Analytics it was extremely difficult for me to secure an internship let alone a full-time entry role. Honestly, I have applied for more than 1000 entry-level and internship opportunities and was not even selected for an interview before DS4A. My story got changed after I joined the DS4A program which helped me learn the most important skills in the data science market, to do multiple portfolio projects that I showed cased during my interviews, to curate my resume in a way employers are motivated to invite me for interviews, to have confidence on myself and most importantly to network with amazing people who looks like me.  Folks, this is not just a Bootcamp, it's a community where everyone is valued, respected, heard, and loved! Thank you DS4A for helping me secure a fully remote paid internship even before I completed the program which is going to be a full-time position after 3 months of the internship period. I am still getting flooded with interview requests because of the portfolio projects I have done with the skills I gathered from the program! Good luck to everyone in the program!! 

I attended DS4A from may to august on 2020. It was an amazing experience. It's not only that instructors have profound foundations on the technical concepts and its applications, or the passion for teaching they have; but also each class is design to help you understand from practice very useful concepts in analytics (that, at least in my case, I've used everyday from then). 

Sure, sometimes the bootcamp might be demanding. But all those difficulties are rewarded. And all of that without even taking into account the network of other graduates, with whom you could expand further what have been learnt, or with whom you could find new opportunities to apply the new knowledge.