BITS WILP Data Science Knowledge Base: Semester 1 Resources

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Before You Proceed…

Overview Of Sem 1

Data Science & Engineering Semester 1 will ideally have four subjects (listed below); Each subject will have a prescribed handout which lists the topics and syllabus for that course. Each course will have quizzes, assignments, (EC1) mid-semester exam (EC2), final-semester exam (EC3).

Exam results are usually displayed on the mettle portal and you can download the PDF of your results for your reference. Example report of ISM EC3(Final Exam) can be found here

1. Essential Mathematics For Data Science (EMDS)

EMDS/MFML is one of the toughest subjects in Data Science & Engineering semester one. Since it involves understanding of the concepts thoroughly, this is not a subject you can just a day before exam and still score good marks. But, this subject can be easily conquered if concepts are understood well.

EMDS Previous Year Question Papers – Digital (Softcopy)

Practice previous year question papers as much as possible to maximise your scores. 

EC-2 Mid Semester Previous question papers

EC-3 End Semester Previous question papers

!! ENROLL NOW – All Premium Notes + Solved PYQs + Study Guides (Softcopy)

We have collected various papers and curated questions along with detailed solved explanations – Topic wise!!. So that you don’t need to scramble around for multiple papers. This question banks cover everthing. This will be a hardcopy book that will be couriered to your location (anywhere in India)


PYQB-MFML

FreeNotes:

PremiumNotes: Enroll here for notes on important topics. This will have PYQs + Notes + Study Guides for all subjects, no need to buy seperately for each subject.

You don’t have infinite time to study. So don’t buy all the books as per handout and waste your money; What I recommended below is enough to cover all topics to score well. Whatsapp us for curated solution manuals.

Books for Open Book Exams as per handout (click on each for purchase links)

Books Recommended By Seniors for easy learning (click on each for purchase links)

Buy Complete Bookset which contains all the required books + solution manuals + custom reference compilations.

 

🎥 Follow the below list during your daily commute to office, I’ve added easy to understand links for all important concepts.

Linear Algebra (Build Your Fundamentals)

Need more? !! ENROLL NOW – All Premium Notes + Solved PYQs + Study Guides

Vector Spaces & Rank

Practice previous year question papers as much as possible to maximise your scores. 

EC-2 Mid Semester Previous question papers

EC-3 End Semester Previous question papers

!! ENROLL NOW – All Premium Notes + Solved PYQs + Study Guides (Softcopy)

We have collected various papers and curated questions along with detailed solved explanations – Topic wise!!. So that you don’t need to scramble around for multiple papers. This question banks cover everthing. This will be a hardcopy book that will be couriered to your location (anywhere in India)


PYQB-MFML

FreeNotes:

PremiumNotes: Enroll here for notes on important topics. This will have PYQs + Notes + Study Guides for all subjects, no need to buy seperately for each subject.

You don’t have infinite time to study. So don’t buy all the books as per handout and waste your money; What I recommended below is enough to cover all topics to score well. Whatsapp us for curated solution manuals.

Books for Open Book Exams as per handout (click on each for purchase links)

Books Recommended By Seniors for easy learning (click on each for purchase links)

Buy Complete Bookset which contains all the required books + solution manuals + custom reference compilations.

 

🎥 Follow the below list during your daily commute to office, I’ve added easy to understand links for all important concepts.

Linear Algebra (Build Your Fundamentals)

Need more? !! ENROLL NOW – All Premium Notes + Solved PYQs + Study Guides

Vector Spaces & Rank

2. Processing For AI Ready Data (PFARD)

PFARD is one of the most relevant subjects in the course, AI-readiness of data across modalities, e.g., audio, text, images, graphs, spatial, time-series; data wrangling (munging); contextual enrichment of metadata; feature selection; modality-specific feature extraction techniques for different data modalities; multimodal feature extraction; knowledge graph; pre-trained deep learning model-based feature extraction; pre-processing for deep learning; for data governance, e.g., fairness, explainability, security and privacy; regulatory compliance.

Topic Wise Notes (Free + Premium)

FreeNotes:

PremiumNotes: Enroll here for wise notes for important topics. This will have PYQs + Notes + Study Guides for all subjects, no need to buy seperately for each subject.

Don’t buy all the books as per handout and waste your money; What I recommended below is enough to cover all topics to score well.

Books for Open Book Exams as per handout (click on each for purchase links)

Books Recommended By Seniors for easy learning (click on each for purchase links)

Buy Complete Bookset which contains all the required books + solution manuals + custom reference compilations.

This is a newly introduced subject. Previous papers are currently not available. But we have prepared topic wise notes for each topic item. You can refer to them to improve understanding of the concepts.

FreeNotes:

PremiumNotes: Enroll here for wise notes for important topics. This will have PYQs + Notes + Study Guides for all subjects, no need to buy seperately for each subject.

Don’t buy all the books as per handout and waste your money; What I recommended below is enough to cover all topics to score well.

Books for Open Book Exams as per handout (click on each for purchase links)

Books Recommended By Seniors for easy learning (click on each for purchase links)

Buy Complete Bookset which contains all the required books + solution manuals + custom reference compilations.

This is a newly introduced subject. Previous papers are currently not available. But we have prepared topic wise notes for each topic item. You can refer to them to improve understanding of the concepts.

3. Introduction To Data Science (IDS)

This subject – Introduction To Data Science – focusses on Data Analytics, Data and Data Models, Data wrangling, Feature Engineering, Classification and Prediction, Association Analysis, Clustering, Anomaly Detection, exploratory/explanatory data analysis with visual storytelling, Ethics for Data Science.

Recommended Books

Don’t buy all the books as per handout and waste your money; What I recommended below is enough to cover all topics to score well.

Books for Open Book Exams as per handout (click on each for purchase links)


  • Dive into Deep Learning – Aston Zhang

  • Deep Learning – Ian Goodfellow, Yoshua Bengio

Books Recommended By Seniors for easy learning (click on each for purchase links)


  • Dive into Deep Learning – Aston Zhang

Buy Complete Bookset which contains all the required books + solution manuals + custom reference compilations.

FreeNotes:

PremiumNotes: Enroll here for wise notes for important topics. This will have PYQs + Notes + Study Guides for all subjects, no need to buy seperately for each subject.

Practice previous year question papers as much as possible to maximise your scores. 

EC-2 Mid Semester Previous question papers

EC-3 End Semester Previous question papers

More Solved Papers ? Enroll here For more previous year question papers & other resources. This will have PYQs + Notes + Study Guides for all subjects, no need to buy seperately for each subject.

Don’t buy all the books as per handout and waste your money; What I recommended below is enough to cover all topics to score well.

Books for Open Book Exams as per handout (click on each for purchase links)


  • Dive into Deep Learning – Aston Zhang

  • Deep Learning – Ian Goodfellow, Yoshua Bengio

Books Recommended By Seniors for easy learning (click on each for purchase links)


  • Dive into Deep Learning – Aston Zhang

Buy Complete Bookset which contains all the required books + solution manuals + custom reference compilations.

FreeNotes:

PremiumNotes: Enroll here for wise notes for important topics. This will have PYQs + Notes + Study Guides for all subjects, no need to buy seperately for each subject.

Practice previous year question papers as much as possible to maximise your scores. 

EC-2 Mid Semester Previous question papers

EC-3 End Semester Previous question papers

More Solved Papers ? Enroll here For more previous year question papers & other resources. This will have PYQs + Notes + Study Guides for all subjects, no need to buy seperately for each subject.

4. Modern Database Systems (MDBS)

Foundations of Structured Data Management – SQL; Distributed Database Architecture; CAP theorem trade-offs; ACID vs BASE; NoSQL Data Stores: Key-Value Stores, Document Stores, Column Family and Graph Databases; Cloud Databases and NewSQL Systems; Overview of Data Warehouses, Data Lakes, and Lakehouse Architecture; Specialized Databases: Vector, Streaming, Temporal and Spatial Databases; Emerging Trends in Data Systems.

Topic Wise Notes (Free + Premium)

FreeNotes:

PremiumNotes: Enroll here for wise notes for important topics. This will have PYQs + Notes + Study Guides for all subjects, no need to buy seperately for each subject.

Don’t buy all the books as per handout and waste your money; What I recommended below is enough to cover all topics to score well.

Books for Open Book Exams as per handout (click on each for purchase links)

Books Recommended By Seniors for easy learning (click on each for purchase links)

Buy Complete Bookset which contains all the required books + solution manuals + custom reference compilations.

This is a newly introduced subject. Previous papers are currently not available. But we have prepared topic wise notes for each topic item. You can refer to them to improve understanding of the concepts.

FreeNotes:

PremiumNotes: Enroll here for wise notes for important topics. This will have PYQs + Notes + Study Guides for all subjects, no need to buy seperately for each subject.

Don’t buy all the books as per handout and waste your money; What I recommended below is enough to cover all topics to score well.

Books for Open Book Exams as per handout (click on each for purchase links)

Books Recommended By Seniors for easy learning (click on each for purchase links)

Buy Complete Bookset which contains all the required books + solution manuals + custom reference compilations.

This is a newly introduced subject. Previous papers are currently not available. But we have prepared topic wise notes for each topic item. You can refer to them to improve understanding of the concepts.

Frequently Asked Questions (FAQs)

Will they allow Textbooks in exams?

Textbooks are generally allowed in the final exam (EC3). Your understanding of the concepts are tested in detail. Even if you take textbooks it won’t help if you don’t prepare well from the beginning. Not all textbooks are useful. Whatsapp us to get tips & tricks.

It will totally depend on the toughness of the paper and performance of your class. It’s a good thing because its difficult to score even single digit marks in subjects like mathematics for machine learning. So don’t let absolute marks freak you out. If the paper was tough, it would be tough for everyone in the class. So relative grading is generally beneficial.

Absolutely. When I was enrolled I had to deal with hectic work and studies at the same time. Regular dedicated few hours a week is more than enough to clear the course. Whatsapp us for dedicated mentoring or guidance.

The final grades are generally decided based on EC1 (Quiz/Assignments) + EC2(Mid semester exams) + EC3(End semester exams). So, ensure to submit all quizzes and assignments on time because these are generally easy and will ensure you have good enough EC1 marks. So even if you perform badly in EC2 or EC3 your EC1 marks will protect you.

Exams can be a combination of both numerical and conceptual. Each subject has a unique topic list and generally concept patterns repeat. So picking the important concepts can make or break your exams. Whatsapp us for subject specific tips & how to crack each subject.

Textbooks are generally allowed in the final exam (EC3). Your understanding of the concepts are tested in detail. Even if you take textbooks it won’t help if you don’t prepare well from the beginning. Not all textbooks are useful. Whatsapp us to get tips & tricks.It will totally depend on the toughness of the paper and performance of your class. It’s a good thing because its difficult to score even single digit marks in subjects like mathematics for machine learning. So don’t let absolute marks freak you out. If the paper was tough, it would be tough for everyone in the class. So relative grading is generally beneficial.

Absolutely. When I was enrolled I had to deal with hectic work and studies at the same time. Regular dedicated few hours a week is more than enough to clear the course. Whatsapp us for dedicated mentoring or guidance.

The final grades are generally decided based on EC1 (Quiz/Assignments) + EC2(Mid semester exams) + EC3(End semester exams). So, ensure to submit all quizzes and assignments on time because these are generally easy and will ensure you have good enough EC1 marks. So even if you perform badly in EC2 or EC3 your EC1 marks will protect you.Exams can be a combination of both numerical and conceptual. Each subject has a unique topic list and generally concept patterns repeat. So picking the important concepts can make or break your exams. Whatsapp us for subject specific tips & how to crack each subject.

BITS WILP AIML Knowledge Base: Semester 2 Resources

BITS WILP AIML Knowledge Base: Semester 1 Resources

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