Displaying schools 26-50 of 76 in total

I was doing my masters' degree in Space engineering and I was unhappy as I didn't find anything that kept me interested and devoted. I had tried a few things in data science and tried to self-learn but I  realized quickly that the initial learning curve in this was really steep.  I have heard people use the phrase for data science - "It's easy, It's not Rocket science", but having studied rocket science as well,  i found out that data science was not easy.  
Browsing through hundreds of online courses and trying to learn from thousands of resources I was overwhelmed by the ever-changing and ever upgrading field of Data Science.
I needed some structure and a beginners level course which was a challenge to find.
I came across the data science course offered by Ubiqum and decided to enroll in it. 
Their  “learn by doing”methodology really focused on the practical aspects of data science which helped in greatly reducing the steep initial learning curve. Having said about the practical aspects, theoretical aspects are not forgotten either and the mentors discuss all the theory before, during and after every task.  
The projects are designed in such a way that the difficulty levels up with every subsequent project and this helped me build up a very strong base.
I now have completed many projects at Ubiqum and ventured deep into the domain of data science and I would like to thank Ubiqum to provide me with the catapult which helped me launch myself into a career in data science. 

I have attend the Sept-Dec 2019 session of Vivadata bootcamp. Vivadata bootcamp is a 10 week program covering python programming, data collection, data analysis, machine learning (supervized and unsupervized), NLP, data engineering and deep learning.

I have found the content of the classes to be of high quality: written courses, video courses, exercises and corrections are accessible on their platform and remain accessible after the bootcamp. The courses are dense, oriented towards practice (lots of exercises and projects)  and the pace was strong from the beginning to the end (be motivated!).

The teachers and teachers assistants are knowledgeable and very available to support students whenever questions are coming up. I enjoyed the teaching style, the playful content and engaging projects that contributes to make the challenging experience fun as well.

The cohort is kept to a maximum of 15 fellows (not always the case in other bootcamps). I appreciated that Vivadata accepted fellows from diverse backgrounds and levels of education (I’ve seen other bootcamp only accessible to fellow holding a master or PhD which is in my opinion meant to inflate their employment rate after the bootcamp) as long they show they are serious and motivated by completing the preparatory work.

While all the resources are available for free online, I am glad that I joined a bootcamp because I don’t think I would have been able to learn so much by myself in such a short amount of time. Having the support of classmates and teachers to solve issues allowed me to avoid great frustrations met when you start coding and being part of a cohort was very motivating.

I am extremely satisfied with the Vivadata’s bootcamp and I would recommend this bootcamp to someone motivated (because it requires a strong commitment) who wants to learn a lot about python and data science in a short amount of time and has for short term plan to add data skills to his/her current job/domain or long term plan (because it will require more practice and studying) to become a data scientist

The application process can be daunting and intimidating, however, each step has its reasons. This makes each cohort learn and progress in a homogeneous pace, which is key to a successful completion of the TDI. 

I was part of the D.C 2017 winter cohort and the 8 weeks were key to position myself as a Data Scientist in the industry. You share and work collaboratively with the rest of the cohort, making it invaluable because you are not only learning from the diverse curriculum but also from your peers. At the end of the day, Data Science is both a Science and an Art, so different perspectives and approaches to problem-solving definitely enhance your skillset. 

Additionally, there is a focus on soft skills, from getting your resume up to speed to effective communication. Each week there are dedicated sessions on how to tackle interview questions, how to sell yourself, and how to navigate opportunely the recruiting process, complementing TDI's rigorous technical curriculum. 

Going to the TDI was not only enriching but also enjoyable. You come out of the program with a powerful network of top-notch data scientist, a second to none skillset and the right toolkit to navigate the corporate world.

• How you decided to pursue this career path and what led you to apply to the Boot Camp:
• Data Analytics was introduced to me by a family member studying in another state; they mentioned data analytics being relevant to multiple fields which caught my attention. After speaking with an advisor to confirm the facts, I signed up for the Data Analytics program through ASU! Although I was new, the instructions provided helped boost my efforts in the program, and all instructors provided extra help for any learner at any level. My undergraduate degree is in Nutrition & Dietetics, and a dream of mine is to research further into nutrition science. Data Analytics can help me pursue and excel within my career! 

• Your experience with the boot camp and your favorite aspect of the program:
• My experience with the boot camp has been nothing short of stellar. Each lecture introduced a new topic that dove deeper in coding. This was also a fast paced program, but the instructional team knew how to teach and navigate the class so that we could all understand and succeed. I was nervous navigating through the program, however I am grateful and excited that I did not give up. Data Analytics will forever be a topic that I enjoy, and the possibilities are endless!

• Any advice you would give to other prospective students:
• If Data Analytics excites you, sign up! This experience provides insight to various activities and provides an immense amount of course study material that will allow any learner to explore and challenge their minds. Car data, microbial data, stock market, medicine, etc; the possibilities are endless.