// handwritten-style notes · Data Science
Data Science Simplified Handwritten Notes
✓ prepaid: extra 10% off + free shipping · COD available
Data Science Simplified is the data-science elective and the first three months of a data role in 116 full-colour pages of handwritten-style notes — NumPy, pandas, cleaning, EDA, Matplotlib, statistics, hypothesis testing, regression, classification, clustering and the scikit-learn workflow, every step shown with its code and output.
Most data-science material starts with maths you don't have yet or a framework you don't need yet. This book starts where the course does: a CSV, a DataFrame, a question. Statistics arrives when the data needs it, and machine learning arrives as a workflow (load, split, fit, evaluate) rather than a wall of formulas.
What's inside
- What data science is, Python for data, NumPy and pandas essentials
- Data cleaning and exploratory analysis on real-looking datasets
- Visualisation with Matplotlib — which chart for which question
- Statistics basics, probability, hypothesis testing explained with one worked example each
- Regression, classification, clustering and model evaluation
- The scikit-learn workflow, plus mini projects you can put in a portfolio
Who it's for
Data Science electives in B.Tech, BCA and BSc, students switching toward data roles, and anyone who has finished Python basics and wants to use them. Deep learning and production MLOps are out of scope. Pairs with Python Simplified.
Why handwritten-style
A DataFrame is a table; a regression is a line through points; a confusion matrix is a 2×2 grid. All of them are drawn in colour, next to the pandas or scikit-learn call that produced them.
Book details
- 116 pages · 24 × 18 cm · 80 GSM paper · full-colour print
- Python 3.14, pandas, NumPy, Matplotlib, scikit-learn
- Pack variant: Data Science + Python saves 10%
Delivery
Ships within 24 hours, Monday to Saturday. 2–4 days in metros, 4–7 days elsewhere, tracking on WhatsApp. Cash on delivery across India; prepaid orders get free shipping and an extra 10% off.
- subject
- Data Science
- pages
- 116
- size
- 8
- paper
- 80 GSM
- 4-colour, full page
- version
- Python 3.14 · pandas · NumPy
- level
- beginner → exam
- language
- English
- publisher
- Study Delight Publications
- sku
- HC-Data_Science
same topic, two books
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HANDWRITTENCODE
TYPED TEXTBOOK
What's inside · 16 topics · 116 pages
Questions about Data Science
Is it actually handwritten?
The notes are set in a handwritten-style font and printed in full colour — the look of a topper's notebook, clean and easy to read on every page.
How long does delivery take?
Ships within 24 hours. 2–4 days in metros, 4–7 days elsewhere, tracking on WhatsApp.
Can I return it?
Received a damaged or wrong book? Send us a photo on WhatsApp and we sort it out. Full details are in our return & refund policy.
why students keep this on the desk
What makes the Data Science notes different
// every program, with what it prints
Code on the left, output on the right
no more "did I get it right?"
Every program in the Data Science notes is printed with the exact output beside it, so you type it, run it, and check yourself in seconds — no YouTube pause-and-rewind.
- Short programs, one idea each
- Common errors shown and explained
- Written for the current release
// the topper's notebook, printed
One idea per box. Colour does the remembering.
your brain files a page, not a paragraph
Definitions, syntax, examples and exam tips each sit in their own coloured box with arrows between them. Flip to any page and you know where you are.
- Full colour on 80 GSM paper
- Handwritten style, zero handwriting mistakes
- 24 × 18 cm — fits in a bag, opens flat
// nothing outside the syllabus
Follows your university units, in order
revise in hours, not weeks
Topics are arranged the way B.Tech, BCA and BSc papers are set — so revision before a sessional is a straight read from page 1, not a hunt through a 600-page textbook.
- Index with page numbers for every topic
- Exam-style questions at the end of each unit
- Ships within 24 hours, COD available
students say
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