The Personal MS(DS) is an initiative to customize the Data Science Masters roadmap according to one's interests hence providing complete autonomy to the learner. The intuition behind #thepersonalmsds is to upgrade skills without formally enrolling into a Master's program at a University. ThePersonalMSDS (beta) is an amalgam of handpicked content taught at different Pakistan-based and International universities based on the student’s feedback. Majority of the content mentioned in #thepersonalmsds can be easily found online. Most of the topics revolve around Mathematics, Statistics, Machine Learning, Deep Learning, Data Science, AWS Cloud Services, and Big Data. Each mini-semester revolves around a particular domain; each mini-semester contains a hand-full of languages, frameworks and libraries.
Important Links | Link |
---|---|
Keep an eye on my progress using this TIL file (2021) | Todayilearned |
Keep an eye on my progress using this TIL file (2019) | Todayilearned |
My last-year ML challenge can be found here | #100DaysOfMLCode |
Tedtalks - Making Sense of too much data | Click here! |
Getting Started with thepersonalMSDS
Course Title | Link |
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Personal Development | Click here! |
Statistics | Click here! |
Mathematics | Click here! |
Big Data | Click here! |
Mathematics | Click here! |
Machine Learning | Click here! |
Deep Learning | Click here! |
Data Science | Click here! |
AWS Machine Learning (Speciality) | Click here! |
AWS Big Data (Speciality) | Click here! |
University | MSDS Roadmap |
---|---|
ITU - Information Technology University | ITU Lahore MS(DS) Roadmap |
FAST Lahore | FAST Lahore MS(DS) Roadmap |
Please contribute more roadmaps | Thanks! |
Note: Feel free to actively contribute in the MS roadmap; If you come across a decent learning material [either paid or free] create a pull request. Contributors will be given credits by referring to their Linkedin / Github profile.
- Contribute by sharing your universities MS(DS) Roadmap.
- Contribute by sharing any online course or specialization you enjoyed!
- Contribute by sharing relevant book(s) for a particular course.
- Contribute by sharing Udacity Nano-Degree's code/content.
- Contribute by sharing TEDtalks on Data Science in the relevant directory.
The tentative roadmap covers four mini-semesters in ~4-6 months:
- Personal Development
- Mathematics
- Statistics
- Big Data
- Machine Learning
- Deep Learning
- Data Science
- Final Kaggle/Project
Milestones
- AWS Machine Learning (Speciality)
- AWS Big Data (Speciality)
Muhammad Hamza Javed is an AWS Certified Solutions Architect - Associate, an AWS Certified Developer, a Packt Author, and a Data Science enthusiast primarily working on Machine Learning, Deep Learning, and Computer Vision. He possesses a Bachelor's Degree in Computer Science from GC University and forty-five (45) certificates in Data Science, Machine Learning, Deep Learning, and Big Data from AWS, Coursera and LinkedIn.
Recent Accomplishments as of 2019:
- AWS Certified Solutions Architect - Associate
- AWS Certified Developer - Associate
- Packt Author - Computer Vision Course
- Packt Author - Geting Started with Tensorflow 2.0 for Deep Learning
- 100DaysOfMLCode
Contact: Linkedin | Kaggle | Facebook | Packt
Content-Types: Books, Coursera, Udemy, Packt, Youtube, Articles, and Tedtalk Tags: MSDS, Masters, DataScience, MachineLearning, DeepLearning, AWS, AWSCloudServices, BigData