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Python with Pandas & NumPy

Go from Python novice to confident data analyst. This course covers Python fundamentals, then deep-dives into Pandas and NumPy — the powerhouse libraries used by data scientists and analysts worldwide.

⏱ 8 Weeks 📶 Beginner Friendly 🌐 Online & Offline 🛠 Project-Based 📜 Certificate
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Course Fee
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✔ 8 Weeks of Live Instruction
✔ Hands-on Projects & Assignments
✔ Recorded Session Access
✔ Doubt Clearing Sessions
✔ Completion Certificate
✔ Online & Offline Batch Options
Curriculum Overview

What You'll Learn

A comprehensive journey from Python basics to real-world data analysis.

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Python Fundamentals — syntax, data types, variables & operators
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Control Flow — if/else, loops, comprehensions
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Functions, Modules & Packages
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Object-Oriented Programming in Python
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NumPy Arrays, Operations & Broadcasting
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Pandas Series & DataFrames
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Data Cleaning & Transformation Techniques
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GroupBy, Merge, Pivot & Reshape
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Data Visualisation — Matplotlib & Seaborn
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File I/O — CSV, Excel, JSON & APIs
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Exploratory Data Analysis (EDA)
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Capstone Mini-Project: Real Dataset Analysis
Week by Week

Course Curriculum

MODULE 01 Python Foundations
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Setting up Python & VS Code environment
Variables, Data Types & Type Casting
Strings, Lists, Tuples, Sets & Dicts
Conditional Statements & Loops
Practice Exercises & Mini-Challenges
MODULE 02 Functions & OOP
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Defining & Calling Functions
Lambda, Map, Filter & Comprehensions
Classes, Objects, Inheritance & Polymorphism
File Handling — Read, Write, Append
Exception Handling with Try/Except
MODULE 03 NumPy Deep Dive
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NumPy Arrays — 1D, 2D, nD
Indexing, Slicing & Fancy Indexing
Universal Functions (ufuncs) & Broadcasting
Linear Algebra with NumPy
Random Number Generation
MODULE 04 Pandas Mastery
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Series & DataFrame — creation & manipulation
Selecting, Filtering & Sorting Data
Handling Missing Values & Duplicates
GroupBy, Aggregation & Pivot Tables
Merging, Joining & Concatenating DataFrames
MODULE 05 Visualisation & EDA
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Matplotlib — Line, Bar, Scatter, Histogram
Seaborn — Heatmaps, Pair Plots, Box Plots
Exploratory Data Analysis workflow
Reading CSV, Excel, JSON & REST APIs
Capstone Project — End-to-end Dataset Analysis

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