Pandas - Full Course in Tamil | Zero to Hero in Data Analysis | 2026 | Free Tutorial
🐼 The MOST Complete Pandas Course in Tamil — Updated for 2026!
Whether you're a fresher or a job seeker looking to break into Data Analytics or Data Science, this is the only Pandas course you'll ever need.
📌 25 Sections | 112 Topics | 7 Hours | Fundamentals to Advanced
🌐 Course Language: Tamil | Use YouTube Translate for other languages
📚 WHAT YOU'LL LEARN — COMPLETE COURSE CONTENT
00:00 📌 Section 1 — Introduction
▸ Course Introduction
▸ Creating Series
▸ DataFrame using List
▸ DataFrame using Tuple
▸ DataFrame using Dictionary
24:14 📌 Section 2 — Paths
▸ Absolute Path
▸ Relative Path
▸ Relative Path One Level Up
▸ Relative Path Two Level Up
▸ Relative Path – Sub Directory
38:01 📌 Section 3 — Read Data
▸ From Clipboard
▸ From Comma Separated Values (CSV)
▸ From Colon Separated Values (CSV)
▸ From Excel File
▸ From JSON File
▸ From Pickle File
57:40 📌 Section 4 — Write Data
▸ To CSV File
▸ To Excel File
▸ To JSON File
▸ To Pickle File
01:17:30 📌 Section 5 — Access Data
▸ Access Column
▸ Access Columns
01:29:52 📌 Section 6 — Attributes
▸ Row Index and Column Names
▸ Data Type
▸ Information
▸ Values
▸ Axes
▸ Dimensions
▸ Size
▸ Shape
▸ Memory Usage
01:52:32 📌 Section 7 — Type Conversion | Casting
▸ Type Conversion
02:07:35 📌 Section 8 — Copy vs Reference
▸ Copy DataFrame
▸ Refer DataFrame
02:11:46 📌 Section 9 — Indexing
▸ Set Index
▸ Reindexing Rows
▸ Reindexing Columns
▸ Reset Index
02:23:59 📌 Section 10 — Iteration
▸ Iterating Items
▸ Iterating Rows
▸ Itertuples
02:38:17 📌 Section 11 — Handling Cell Values
▸ Using At Method
▸ Using Index At (iat) Method
▸ Using Location Method
▸ Using Index Location Method
▸ Using Combinations
02:52:27 📌 Section 12 — Handling Row Values
▸ Get and Set Row Values
▸ Get and Set Range of Row Values
▸ Get and Set Intermittent Row Values
03:02:51 📌 Section 13 — Handling Column Values
▸ Get and Set Column Values
▸ Get and Set Continuous Range of Column Values
▸ Get and Set Intermittent Range of Column Values
▸ Get and Set Combinations of Rows and Column Values
▸ Adding Prefix and Suffix to Column Names
▸ Get Row Index of Minimum and Maximum Value in a Column
03:26:54 📌 Section 14 — Keep or Remove Values
▸ Drop Rows
▸ Drop Columns
▸ Pop Column
▸ Truncate Range of Rows
▸ Truncate Range of Columns
03:38:31 📌 Section 15 — Filtering Data
▸ Filter Rows Based on a Condition
▸ Filter Rows Based on Row Index
▸ Filter Rows Based on Column Name
▸ Filter Rows Based on Like Values
▸ Filter Rows By Range of Values using Between Function
▸ Filter Rows By Date Values
▸ Filter Rows By Time Values
▸ Filter Rows By List of Values
04:02:34 📌 Section 16 — Logical Operations
▸ Logical AND
▸ Logical OR
▸ Logical NOT
▸ Logical Operations in Combinations – Pitfall and Solution
04:18:23 📌 Section 17 — Sorting Data
▸ Sorting Rows By Single Column
▸ Sorting Rows By Multiple Columns
▸ Prioritizing Null Values While Sorting
04:26:23 📌 Section 18 — Math Operations
▸ Arithmetic Operations
▸ Matrix Multiplication
▸ Evaluate Method
04:40:30 📌 Section 19 — Functions
▸ Applying Custom Functions on Series
▸ Applying Custom Functions on DataFrame
▸ Assign Functions on DataFrame
▸ Aggregate Functions on Series
▸ Aggregate Functions on DataFrame
▸ Group By Function
▸ Transform Function
▸ Map Function
▸ Lambda Function
▸ Pipe Function
05:25:40 📌 Section 20 — Align DataFrame
▸ Align with Left Join
▸ Align with Right Join
▸ Align with Inner Join
▸ Align with Outer Join
05:37:18 📌 Section 21 — Concatenate & Join DataFrame
▸ Concatenate with Same Column Names
▸ Concatenate with Various Column Names
▸ Joining with Various Column Names
▸ Joining with Same Column Names
05:44:07 📌 Section 22 — Merge DataFrame
▸ Merge with Left Join
▸ Merge with Right Join
▸ Merge with Inner Join
▸ Merge with Outer Join
05:58:23 📌 Section 23 — Descriptive Analysis
▸ Uniqueness
▸ Duplicates
▸ Central Tendency
▸ Statistical Analysis
▸ Ranking
▸ Relationship Analysis
▸ Trend Analysis – Difference & Percentage Change
▸ Cumulative Operations
06:45:05 📌 Section 24 — Sampling
▸ Undersampling
▸ Oversampling
06:52:30 📌 Section 25 — Missing Value Handling
▸ Find Missing Values
▸ Handle Missing Values
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