The Faculty Data Science & Engineering Fellowship
viaFaculty Fellowship Programme•
5.0 Rating
Difficulty
Beginner
Cost
N/A
Format
Instructor Led
Delivery
In-Person
Time Commitment
8 weeks 1 hrs/week
This comprehensive online course delves into machine learning, data engineering, and business skills through a project-based approach. Participants will engage in hands-on learning using SQL, NoSQL, and Spark to solve real-world business challenges. The course emphasizes practical applications by partnering with companies, allowing learners to showcase their skills in data science and data engineering.
Designed for aspiring data scientists and engineers
Suitable for learners with technical backgrounds
No specific prerequisites required
Project-based learning with industry partners
In-depth exploration of SQL, NoSQL, and Spark
Hands-on experience solving real business problems
Portfolio project to demonstrate skills
Proficiency in machine learning and data engineering
Enhanced problem-solving and business skills
No certifications are covered by this course.
No specific topics are covered by this course.
Graduate 2020
There is no doubt that if you get the opportunity to do this, then you should do it. The big benefits are:
Get experience working on a real-world data science project. Build practical skills and build your CV.
Join network of data scientists who are helpful and supportive, even after the fellowship has ended.
Get intense presentation training, culminating in 5 minute presentation during Demo Day.
Get crash course in data science, which provides strong sense of what is useful to know.
Main con is that the short duration of project means you do not have time to best practice in software engineering. You should supplement this course with other ways to learn this skillset (I recommend contributing to open source packages!)
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