Datascience ki Baatein
Namaste! Main yahan hoon Data Science sikhane — bilkul zero se, apni bhasha mein.
Agar aap college student ho, working professional ho jo career switch karna chahta hai, ya koi bhi jo Data Science seekhna chahta hai but English-only content overwhelm karta hai — yeh channel aapke liye hai.
Yahan milega:
✅ Python, Pandas, NumPy basics
✅ Statistics aur SQL — bina jargon ke
✅ Real projects on Indian datasets
✅ Career roadmap aur interview prep
Naya video har Tuesday aur Saturday, 7 PM. Subscribe karo, journey shuru karo!
Datascience ki Baatein
NEW VIDEO — Pandas Video 6 LIVE!
Merge, Join & Concatenate.
Aaj cover kiya:
Concatenation (pd.concat, axis=0/1)
Merge (pd.merge — inner, outer, left, right)
Join method (df.join())
Column name conflicts (suffixes)
Real project mein data kabhi ek jagah se
nahi aata — yeh skill isliye zaroori hai.
https://youtu.be/WB405t8eDBQ
Comment mein batao:
Merge ya join — aap kaunsa zyada use karte ho?
Tuesday 7 PM: Pandas Project
1 week ago | [YT] | 0
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Datascience ki Baatein
NEW VIDEO — Pandas Video 4 LIVE!
Data Cleaning.
Aaj cover kiya:
- Missing values (isnull, dropna, fillna)
- Duplicates (duplicated, drop_duplicates)
- Data type conversions (astype, to_datetime)
- String cleaning methods
- Real messy dataset cleaned end-to-end
70% of real DS work is this. Master this,
master the job.
https://youtu.be/_rP0XvTkS-w?si=rRpM8...
Comment mein batao:
Aap fillna use karoge ya dropna, missing
values ke liye?
Saturday 7 PM: GroupBy & Pivot Tables!
2 weeks ago | [YT] | 2
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Datascience ki Baatein
NEW VIDEO — Pandas Video 3 LIVE!
Selection, Filtering & Indexing.
Aaj cover kiya:
- loc vs iloc — the real difference
- Boolean filtering (most-used DS skill)
- Multiple conditions with & and |
- isin() and string filtering
- Real-world filtering examples
https://youtu.be/_aR_6b1G4nc?si=pBL_x...
Comment mein batao:
loc aur iloc ka confusion clear hua?
Saturday 7 PM: Data Cleaning!
3 weeks ago | [YT] | 1
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Datascience ki Baatein
NEW VIDEO — Pandas Video 2 LIVE!
Reading and Writing Data.
Aaj cover kiya:
- pd.read_csv(), read_excel(), read_json()
- Common parameters aur real-world issues
- Encoding problems solve karna
- Writing data back with to_csv(), to_excel()
- Real dataset walkthrough
https://youtu.be/tVY1mrNGJaw
Comment mein batao:
Aap sabse zyada kaunsi file format use
karte ho — CSV, Excel, ya JSON?
Tuesday 7 PM: Selection & Filtering!
3 weeks ago (edited) | [YT] | 1
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Datascience ki Baatein
NEW SERIES — PANDAS SHURU HO GAYI!
Video 1 LIVE!
Aaj cover kiya:
✅ Pandas kya hai aur kyun important
✅ Series (1D labeled data)
✅ DataFrames (2D labeled data)
✅ Multiple ways to create both
✅ Essential attributes (shape, dtypes)
✅ Exploration methods (head, info, describe)
🔗 https://youtu.be/gY1bsoN1uJs
Comment mein batao:
Series aur DataFrame — difference clear hua? 🤔
Saturday 7 PM: Data Reading & Writing!
1 month ago | [YT] | 0
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Datascience ki Baatein
🎯 NumPy SERIES FINALE LIVE!
5 videos, foundation complete ✅
Aaj Video 5 mein:
✅ Reshaping, Transpose, Concatenation
✅ Copy vs View (common mistake!)
✅ COMPLETE Mini Project — Student Analysis
✅ Pandas Bridge — Magic Moment!
🔗 https://youtu.be/aN37MZfbe1M
Comment mein batao:
NumPy series kaisi lagi? Best video kaunsi
lagi? 🤔
PANDAS SERIES COMING SOON! 🚀
1 month ago | [YT] | 0
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Datascience ki Baatein
🚀 NEW VIDEO — NumPy Video 4 LIVE!
Random Module Deep Dive.
Aaj cover kiya:
✅ Basic random generation
✅ Random Seed — The seed=42 mystery solved
✅ Normal & Uniform distributions
✅ Random selection & sampling
✅ Shuffling data (aur kyun zaroori hai)
✅ Dummy dataset creation (ML workflow)
🔗 https://www.youtube.com/watch?v=hV52G...
Comment mein batao:
Kya aap ne pehle "random_state=42" dekha
tha kabhi bina samjhe? Aaj clear hua? 🤔
Saturday 7 PM: NumPy SERIES FINALE!
1 month ago | [YT] | 1
View 0 replies
Datascience ki Baatein
🚀 NEW VIDEO — Career Discussion LIVE!
"Should You Learn Coding in AI Era?"
Ek viewer ka question — sabka confusion.
Aaj honest jawab diya:
✅ AI kya kar sakta, kya nahi
✅ T-Shape Skills Model
✅ 9-12 month realistic roadmap
✅ Foundation vs Trend chasing
https://youtu.be/SKOaCybjIgo?si=uHf2y...
Share you opinion ?
Tuesday 7 PM: NumPy Video 4 continues!
1 month ago | [YT] | 2
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Datascience ki Baatein
NEW VIDEO — NumPy Video 3 LIVE!
Aaj cover kiya:
✅ Element-wise Operations
✅ Broadcasting (the magic!)
✅ Vectorization — no more for-loops!
✅ Math functions (sqrt, log, exp)
✅ Statistical functions (mean, std, median)
✅ axis=0 vs axis=1 explained clearly
Vectorized code = 50-100x faster than loops.
🔗 https://youtu.be/t5OxzhHA3nE
Comment mein batao:
axis=0 aur axis=1 ka confusion clear hua? 🤔
Saturday 7 PM: SPECIAL Career Video —
"AI Era mein Coding" — viewer request!
1 month ago | [YT] | 0
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Datascience ki Baatein
🚀 NEW VIDEO — NumPy Video 2 LIVE!
Aaj cover kiya:
✅ 1D & 2D Array Indexing
✅ Slicing techniques (all patterns)
✅ Boolean Filtering — THE key skill
✅ Multiple conditions (& and |)
✅ Fancy indexing
✅ Modifying values with conditions
Real DS example: Filter students with
marks 80+ in one line!
🔗 https://youtu.be/Ie949QGxZ6o?si=1Rwef...
Comment mein batao:
Boolean filtering samajh aaya? 🤔
Tuesday 7 PM: Operations + Broadcasting!
1 month ago | [YT] | 2
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