Professional Skills Self Paced

Pandas

This course is designed to transform you from a beginner into a confident Pandas user who can clean, transform, and analyze real-world datasets efficiently for data-driven decision making.

4.8 (102 ratings)
289 enrolled 7 hours Professional tamil

What You'll Learn

  • Fundamentals
  • Data Import & Export
  • Data Cleaning
  • Data Preprocessing
  • Data Filtering & Sorting
  • Group By, Joins, Merge and Transform
  • Statistics and Real-world Problems

Requirements

  • Python Fundamentals
  • VS Code
  • Jupyter Notebook

Tools & Technologies

Pandas Pandas

Course Description

This Pandas course is a complete, job-oriented program designed for freshers, students, and career switchers who want to build strong data analysis skills using Python. Starting from the fundamentals, you will learn how to work with Series and DataFrames, import data from multiple sources, clean and preprocess datasets, and perform real-world operations step by step.

Right for You?

Who This Course is For

  • Freshers starting Data Analytics
  • Job seekers & career switchers
  • Students in Data Science fields
  • Anyone learning Python & Pandas

Course Curriculum

25 modules • 110 lessons
Module 1: Introduction 5 lessons • 24m
  • Course Introduction 5m
  • Creating Series 5m
  • DataFrame using List 5m
  • DataFrame using Tuple 4m
  • DataFrame using Dictionary 5m
Module 2: Paths 5 lessons • 14m
  • Absolute Path 3m
  • Relative Path 3m
  • Relative Path One Level Up 3m
  • Relative Path Two Level Up 2m
  • Relative Path u2013 Sub Directory 3m
Module 3: Read Data 6 lessons • 19m
  • From Clipboard 3m
  • From CSV (Comma Separated) 3m
  • From CSV (Colon Separated) 3m
  • From Excel File 4m
  • From JSON File 3m
  • From Pickle File 3m
Module 4: Write Data 4 lessons • 20m
  • To CSV File 5m
  • To Excel File 5m
  • To JSON File 5m
  • To Pickle File 5m
Module 5: Access Data 2 lessons • 12m
  • Access Column 6m
  • Access Columns 6m
Module 6: Attributes 9 lessons • 23m
  • Row Index and Column Names 3m
  • Data Type 3m
  • Information 3m
  • Values 3m
  • Axes 3m
  • Dimensions 3m
  • Size 2m
  • Shape 3m
  • Memory Usage 3m
Module 7: Type Conversion 1 lesson • 15m
  • Type Conversion 15m
Module 8: Copy vs Reference 2 lessons • 4m
  • Copy DataFrame 2m
  • Refer DataFrame 2m
Module 9: Indexing 4 lessons • 12m
  • Set Index 3m
  • Reindexing Rows 3m
  • Reindexing Columns 3m
  • Reset Index 3m
Module 10: Iteration 3 lessons • 14m
  • Iterating Items 5m
  • Iterating Rows 5m
  • Itertuples 4m
Module 11: Handling Cell Values 5 lessons • 14m
  • At Method 3m
  • iat Method 3m
  • loc Method 3m
  • iloc Method 3m
  • Combinations 2m
Module 12: Handling Row Values 3 lessons • 10m
  • Get & Set Row Values 4m
  • Range of Rows 3m
  • Intermittent Rows 3m
Module 13: Handling Column Values 6 lessons • 24m
  • Get & Set Column Values 5m
  • Continuous Range 4m
  • Intermittent Range 4m
  • Row + Column Combination 4m
  • Prefix & Suffix 3m
  • Min/Max Row Index 4m
Module 14: Keep or Remove Values 5 lessons • 12m
  • Drop Rows 3m
  • Drop Columns 3m
  • Pop Column 2m
  • Truncate Rows 2m
  • Truncate Columns 2m
Module 15: Filtering Data 8 lessons • 24m
  • Condition Filtering 4m
  • Index Filtering 3m
  • Column Filtering 3m
  • Like Values 3m
  • Between Function 3m
  • Date Filtering 3m
  • Time Filtering 2m
  • List Filtering 3m
Module 16: Logical Operations 4 lessons • 16m
  • AND 4m
  • OR 4m
  • NOT 4m
  • Combined Logic + Pitfalls 4m
Module 17: Sorting Data 3 lessons • 8m
  • Single Column Sort 3m
  • Multiple Column Sort 3m
  • Null Priority 2m
Module 18: Math Operations 3 lessons • 14m
  • Arithmetic Operations 5m
  • Matrix Multiplication 5m
  • Evaluate Method 4m
Module 19: Functions 8 lessons • 45m
  • Custom Functions (Series & DataFrame) 8m
  • Assign Functions 5m
  • Aggregate Functions 6m
  • GroupBy 6m
  • Transform 5m
  • Map 5m
  • Lambda 5m
  • Pipe 5m
Module 20: Align DataFrame 4 lessons • 12m
  • Left Join 3m
  • Right Join 3m
  • Inner Join 3m
  • Outer Join 3m
Module 21: Concatenate & Join 4 lessons • 7m
  • Concatenate (Same Columns) 2m
  • Concatenate (Different Columns) 2m
  • Join (Different Columns) 2m
  • Join (Same Columns) 1m
Module 22: Merge DataFrame 4 lessons • 14m
  • Left Merge 4m
  • Right Merge 3m
  • Inner Merge 3m
  • Outer Merge 4m
Module 23: Descriptive Analysis 8 lessons • 47m
  • Uniqueness 6m
  • Duplicates 6m
  • Central Tendency 7m
  • Statistical Analysis 7m
  • Ranking 6m
  • Relationship Analysis 5m
  • Trend Analysis 5m
  • Cumulative Operations 5m
Module 24: Sampling 2 lessons • 7m
  • Undersampling 3m
  • Oversampling 4m
Module 25: Missing Value Handling 2 lessons • 7m
  • Find Missing Values 3m
  • Handle Missing Values 4m
Our Advantage

Why Choose This Course

  • Complete Pandas from basics to advanced
  • Job-focused with real-world use cases
  • Structured, easy-to-follow modules
  • Tamil explanation for better clarity

Your Instructor

Parthiban Kannan

Parthiban Kannan

Co-founder & Manager

17 Courses

14+ years of experience in digital transformation, leading teams of 15+ members and delivering 160+ projects for organizations like Lakshmi Machine Works, Milacron, Schneider Electric, Aatomz Research, and Variablz Technologies. AI innovator with a patent approved by the Government of India, with strong expertise in Data Science, Data Analysis, Business Intelligence, and Software Development.

Course Outcomes

What Our Students Build

Articles, projects, research papers and more — real work by our learners applied beyond the classroom.

View All Outcomes
FAQ

Frequently Asked Questions

Is this Pandas course really free?

Yes, this is a 100% free course available on YouTube.

Is this a self-paced course?

Yes, you can learn at your own pace anytime, anywhere.

Who can take this course?

Freshers, students, job seekers, and career switchers.

Do I need prior Python knowledge?

Basic Python is recommended, but beginners can still follow along.

What language is the course in?

The course is explained in Tamil.

Can non-Tamil learners take this course?

Yes, you can use YouTube subtitles/translate option.

Will this course help me get a job?

Yes, it builds strong Pandas skills required for Data Analyst roles.

Will I get a certificate after completion?

No, this is a free YouTube course and does not include certification.

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