Share this link via
Or copy link
Overview
This course focuses on Exploratory Data Analysis (EDA) using Python, a crucial step in any data science workflow. Starting with Python basics, learners dive into data wrangling, visualization, and statistical summaries using libraries like pandas, seaborn, and matplotlib. Each module is reinforced with real datasets and hands-on exercises to uncover patterns, outliers, and insights. Ideal for beginners and intermediate learners, the course prepares students to approach data methodically, understand its structure, and derive actionable conclusionsâessential skills for building effective models....
Syllabus
- Getting Started
- Pandas Building Blocks
- Pandas_Data Structures
- Data Indexing And Selection
- Essential Functionalities
- Data Handling
- Data Cleaning And Preparation
- Data Wrangling
- Data Grouping And Aggregation
- Time Series Analysis
- How To Analyse With The Part of Real Life Projects
Instructor
Pruthviraja L
Reviews
No reviews yet. Be the first to review!
Alternative Courses
Introduction to AI Programming Welcome to the AI programming with...
Free
You must be logged in to submit a review.