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Target Output
Weekly Production Deliverable
Deliverable: Arrays fully done. The Data Toolkit (NumPy/Pandas/Matplotlib/Seaborn) done; Kaggle account live; second GitHub project (EDA) shipped.
Monday
0 / 2 done
DSA
Sort an array of 0s, 1s and 2s; Kadane's Algorithm
1.5h
AI/ML
NumPy Mastery
Keith Galli's NumPy tutorial (YouTube): arrays, multi-dimensional indexing, broadcasting, mathematical operations, vectorization
2.5h
Tuesday
0 / 2 done
DSA
Next Permutation
1.5h
CORE
SQL Foundations
Intro to SQL, Why SQL Exists, How Databases Work, DDL vs DML, Database & Table Basics, Data Types, Constraints (Primary/Foreign Key, Unique, Check, Default)
2.5h
Wednesday
0 / 2 done
DSA
Majority Element-II
1.5h
AI/ML
Pandas Mastery
Keith Galli's Pandas tutorial: Series, DataFrames, CSV reading, boolean indexing, filtering rows,
groupby, aggregations, merge, handling missing data
2.5h
Thursday
0 / 2 done
DSA
Find the repeating and missing number
1.5h
CORE
Query Fundamentals & Practice
SELECT, FROM, WHERE, operators, ORDER BY, LIMIT, DISTINCT, AS + TRIM() / LTRIM() / RTRIM() + Quiz + solve: Large Nations, Profitable Customers, Available Seat Streaks, Email Duplicates, Odd Non-Boring Movies, Exceeding Tweet Length
2.5h
Friday
0 / 2 done
DSA
Count Inversions; Reverse Pairs
1.5h
AI/ML
Data Visualization & First Kaggle EDA Project
Matplotlib & Seaborn crash course (freeCodeCamp YouTube) + set up Kaggle account + perform full Exploratory Data Analysis (EDA) on a real dataset (e.g. Titanic) + push notebook with README to GitHub
2.5h
⚡
Weekend High-Load Execution
• 8.0h Daily Deep Focus Lab
Saturday
0 / 3 done
DSA
Maximum Product Subarray; Merge two sorted arrays without extra space
1.5h
AI/ML
NumPy & Pandas Intensive Lab (4.0h)
Kaggle Learn "Python" & "Pandas" micro-courses (earn certificates); complete 20 vector manipulation exercises in Jupyter notebook.
4.0h
APT
Quant M6 & Verbal
Quant M6 Trains, Boats and Streams (Basic & Advance) + Verbal: Idioms and Phrases (Basic & Advance)
2.5h
Sunday
0 / 3 done
DSA
Revision + Contest
redo 3 array problems cold
1.5h
AI/ML
Kaggle Titanic End-to-End EDA Lab (4.0h)
Kaggle Learn "Data Visualization" certificate; perform comprehensive EDA on Titanic dataset with seaborn/matplotlib; submit first Kaggle notebook.
4.0h
APT
Logical & SQL Query Practice
Logical: Syllogism (Basic & Advance) + Filtering Essentials (IS NULL, IN, BETWEEN, LIKE) + solve: Non-Referred Customers, Employee Work Time Summary
2.5h
edit_note
Week 06 Technical Notes & Journal
#LeetCode
#Java
#DSA
#Week06