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Data Wrangling with Python
Original price was: INR ₹499.00.INR ₹199.00Current price is: INR ₹199.00.
About the Course
The Data Wrangling with Python course is a free, beginner-friendly self-paced program designed to help learners understand how to clean, organize, and prepare raw data for analysis using Python.
In real-world scenarios, data is often incomplete, inconsistent, or unstructured. This course introduces simple techniques to handle missing values, correct errors, transform data formats, and prepare datasets for meaningful analysis. It is an ideal starting point for learners who want to build practical data skills before moving into data science or machine learning.
Program Highlights
• Free beginner-level data wrangling course
• Online self-paced learning format
• Simple explanation of data cleaning and preparation
• Covers missing data, filtering, and transformation basics
• Real-world examples using messy datasets
• Suitable for students and first-time learners
• e-Certification upon successful completion
Course Curriculum
Module 1: Introduction to Data Wrangling
- What is Data Wrangling?
- Why Data Cleaning is Important
- Raw Data vs Clean Data
- Applications in Data Science and Analytics
Module 2: Working with Data in Python
- Understanding Datasets: Rows and Columns
- Loading Data in Python
- Exploring Data Structure
- Basic Data Inspection
Module 3: Data Cleaning Basics
- Handling Missing Values
- Removing Duplicates
- Fixing Incorrect Data Formats
- Filtering and Selecting Data
Module 4: Data Transformation
- Sorting and Grouping Data
- Changing Data Types
- Reshaping and Combining Data
- Preparing Data for Analysis
Module 5: Applications and Next Steps
- Data Preparation for Analytics and ML
- Use Cases in Business and Research
- Career Path in Data Science
- Mini Practice Exercise
Tools, Techniques, or Platforms Covered
Python
Data Wrangling
Data Cleaning
Data Transformation
Datasets
Data Wrangling
Data Cleaning
Data Transformation
Datasets
Real-World Applications
- Cleaning real-world messy datasets
- Preparing data for machine learning models
- Organizing business and research data
- Handling missing and inconsistent values
- Supporting data-driven decision-making
Who Should Attend & Prerequisites
- This course is suitable for students, beginners, freshers, and professionals who want to learn how to prepare and clean data using Python.
- It is also useful for learners from engineering, computer science, business, research, and non-technical backgrounds interested in data.
Prerequisites: Basic Python knowledge is helpful but not mandatory. Basic computer knowledge and interest in data are sufficient.
Frequently Asked Questions
1. Is this Data Wrangling with Python course free?
Yes. This is a free online self-paced course for beginners.
2. Do I need Python knowledge before joining?
Basic Python knowledge is helpful but not required.
3. What will I learn in this course?
You will learn how to clean, organize, and transform data using Python.
4. Who can join this course?
Students, beginners, and professionals from any background can join.
5. Will I receive a certificate?
Yes. You will receive an e-Certification after completion.
6. What is data wrangling?
Data wrangling is the process of cleaning, organizing, transforming, and preparing raw data so it can be used for analysis, reporting, or machine learning.
7. Why is data cleaning important?
Data cleaning is important because real-world data often contains missing values, duplicates, errors, and inconsistent formats that can affect analysis quality.
8. What is the duration of this course?
The Data Wrangling with Python course is designed as a 2–3 week online self-paced course.
9. Is this course useful before learning data science or machine learning?
Yes. Data wrangling is an essential first step in data science and machine learning because clean and well-prepared data leads to better analysis and model results.
10. What makes this Data Wrangling with Python course beginner-friendly?
The course explains data cleaning, missing values, filtering, transformation, and dataset preparation using simple examples, making it suitable for beginners and first-time learners.
The Data Wrangling with Python course provides a practical foundation in cleaning and preparing data for analysis. It is an essential first step for learners aiming to build skills in data science, analytics, and machine learning.
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