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The Data science fellowship is a program to give early career researchers an opportunity to gain skills and practical knowledge that they require in order to manage data science projects. These data science fellowship programs are specially designed to make early researchers gain experience in solving environmental science data and software issues, undertaking the research related to open data infrastructure and practice, and in conducting outreach and in creating the learning materials helpful in enhancing the awareness and understanding of productive research.
With this fellowship, fellows gain monitorship and experiences in research-related activities. The data science fellowship also motivates fellows to develop new projects and collaborations.
With this guide, you will learn what is Data science fellowship, data science fellowship for undergraduates, their eligibility criteria, etc.
What is Data science fellowship program?
The data science fellowship program is an immersive boot camp for those who are passionate about the field of data science and early career researchers with STEM degrees. With this fellowship program, the fellows will get the option to work in close association with expert instructors and thus can develop in-demand skills and launch their career in data science.
This fellowship program will emphasize only practical skills and every section in this project will help you build skills in the field of data science. Also, you will get the chance to work with real-world data in order to solve real-world problems.
Along with all these features, this data science fellowship program will provide you with the opportunity to work on your capstone project. Here you will get the option to select the public data of your interest and design a functioning tool in order to show off your talent to future employers.
Data science fellowship in Canada
There are several Canadian registered universities that are providing fellowship to those who are passionate and want to learn skills in order to become a data scientist, data engineer, and data analyst. With this data science fellowship in Canada, you will get the option to learn skills and practice in coding as well as other projects in order to advance your data career.
Fellow can start their data science fellowship in Canada from different universities like:
- Ryerson University
- University of Calgary
- Carleton University
- Saint Mary’s University
- University of Victoria
- University of New Brunswick
- Acadia University
- Lakehead University
- University of Dayton
Data science fellowship in the UK
The UK is also having several leading universities that are providing Data science fellowship and help the users to learn skills they will need in order to become data scientists, data analysts, or data engineers.
In the UK, a DSSG (DATA SCIENCE FOR SOCIAL GOOD) runs a fellowship program to train the top talent from data science, artificial intelligence, and machine learning to work on real-world data science challenges and thus gain experience.
The DSSG tie-up with non-profit organizations and government in arranging their fellowship programs in order to deliver a positive social impact. This Data Science for Social Good Summer Project 2021 is being run by the University of Warwick. With this fellowship program, fellows get the chance to achieve more in their data science-related skills.
Data Science fellowship in Standford
Standford university in California invites fellows from US-based universities for a data science fellowship program that usually runs for 8 to 10 weeks in late June through late August. Here in this program, fellows get the chance to work for full -time on different real-world data science projects with technical mentorship from advanced graduate students and Standford researchers.
This training program also includes technical training and discussion on project-related and data science topics. The ultimate goal of this fellowship program is to create a unique, top-class data science learning program for fellows where they gain experience while working on real-world data science problems.
Data science fellowship in Northwestern
With the data incubator fellowship program in Northwestern, the masters, PHDs, and postdocs students in STEM and social fields get the chance to earn experience as data scientists.
Those who have completed their master’s or Ph.D. degrees or in the one year of graduating with a master’s or Ph.i9. degree are allowed to apply for this fellowship program. Fellows are allowed to attend the program in :
- New York City
- San Francisco Bay Area
- Washington, D.C.
Data science fellowship in London
For those who have graduated recently and looking for their career in the field of data science, then the fellowship program will help them gain experience and this advance their career as data scientists, data analysts, or data engineers.
In London, the Science to Data Science program offers a five-week boot camp for Analytical MSCs and PhDs who are planning to move into the data science career. In order to join this program, fellows need to have at least an MSc degree or higher in analytical science and intermediate programming skills in Java, Python, or similar.
The data science fellowship program includes coursework, networking sessions, and virtual panel debates, and the option to take a day for exploring in London. Also, the program offers virtual classes that allow fellows to participate in online coursework via chats, video calls, and another online collaborative for those who can not afford to move to London.
Data Science fellowship in India
The best data science fellowship program in India with the highest ratings is delivered by IIT-IIM-ISI. The program takes around 2 years to complete and you will earn the degree from the most elite schools in India.
In the case when you cannot afford the 2-year program, you can go for short-term courses by IIT Hyderabad and IIT Bangalore. This program lasts for six months. Along with these elite universities, many private universities are also offering data science fellowship courses that usually include tie-ups from esteemed foreign universities.
Insight data science fellowship
Insight’s data science fellowship program offers an intensive post-doc training fellowship for 7 weeks that plays a major role in bridging the gap between data science and academics.
The program also includes the feature of need-based scholarship.
In this program, fellows get the option to gain experience in building real-world data science solutions in a collaborative environment.
With this fellowship program, users get the option to learn from top industry leaders and insight alumni.
Visit our related article to know detailed information on How did insight data science fellow program become unbeatable.
Eligibility for data science fellowship program
For those who want to join the data science fellowship program, there is a need for at least an MSc degree or higher in analytical science. Also, the fellow needs to have intermediate programming skills in Java, Python, or similar.
Generally, the top fellowship providers demand the fellows to have a Ph.D. degree or those who are in the one year of graduating with a Ph.D. degree.
Data Science fellowship at the Data incubator
The data incubator offers a data fellowship course that runs for eight weeks. For those who have already skilled in the data science field, this program enhances their skills to the top and thus advances their career.
With this program, students get mentorship from the hiring companies directly like Microsoft, LinkedIn, etc. This fellowship program helps the fellows to build their portfolio while working in this fellowship program and show off their skills.
Data Science for social good fellowship
DSSG or Data science for social good fellowship offers a paid program that aims at training data scientists to work on data mining, big data, machine learning, and data science projects.
The tie-up with the non-profit organizations and government to train the fellows in the data science field and help them gain experience on real-world challenges.
Visit our related article on Data Science for social good to know more details.
Columbia data science institute fellowship
Columbia University is a data science institute that offers one of the best data science fellowship programs. Those who have completed their MS in data science can apply for the fellowship program.
With this fellowship program, the fellows will get the opportunity to work in close association with expert instructors and thus can develop in-demand skills and launch their career in data science.
Harvard data science fellowship
Those who are interested in data science and have done their Master’s or Ph.D. degree can apply for this fellowship program. The fellowship program runs for around 2 years and will train the fellows to be successful data scientists, data analysts, or data engineers.
The fellows will get the opportunities to get engaged with the broader data science community and gain experience while working on real-world data science challenges.
Flatiron data science fellowship
The flatiron data science fellowship program trains a tired and true data science curriculum which is specially tailored to assure the fellow’s graduate as well-rounded data scientists. The fellowship program allows the fellows to use real-world tools in order to learn from some best instructors.
Every course section in this fellowship program will teach you a proven and living data curriculum that turns you into adaptable and valuable data scientists after completion of this course.
So these are some best Data science fellowship programs that will help you gain experience in the field of data science. Users in this fellowship program get the opportunity to work in real-world data challenges and gain experience in order to become great data scientists, data analysts, or data engineers.
How difficult is to get into data science fellowship?
The time spends in the Data Science fellowship is tough for fellows. The fellows are going to be rigorous. Being a data scientist is difficult. Many students try to learn data science but only some of them get success in learning the data science skills. It requires the students to have a combination of hard skills like Python and SQL and soft skills like communication and business skills.
How do Udacity’s data analyst nano degrees stack up against Zipfian Academy’s data science fellowship?
Udacity offers data analyst nano degrees which is in itself a great experience. The quality of their lessons is great and their project-level matches to some extent with the Zipfian’s material.
With Udacity, the user will get a self-paced basket of MOOCs and free courses. Those who are not having time and money to invest should go for Udacity’s data analyst nano degrees.
The Udacity is a great resource to develop quality data science skills while the Zipfian is a great investment to be an industry’s leading data scientist.
How does the Data incubator and Insight Data science fellowship program compare to each other in terms of job placement, course content, and teachers?
The data incubator’s screening process is more objective while the screening process for the Insight fellowship program is more subjective.
In terms of job placement, course content, and teachers, both programs are considered highly. Insight started earlier so has more connection with hiring partners but there is no big difference between both organizations.