Data analysis with python

Learn NumPy, Pandas, Data Visualization, EDA & Real-World Projects From Scratch

What you'll learn
⚡ Learn Python programming fundamentals required for data analysis and data science from scratch.
⚡ Analyze and clean real-world datasets using NumPy and Pandas efficiently.
⚡ Create professional data visualizations using Matplotlib and Seaborn libraries.
⚡ Perform Exploratory Data Analysis (EDA) and build real-world data analysis projects confidently.

Requirements
❗ No programming experience needed. This course is beginner-friendly and everything will be taught step by step.
❗ A computer or laptop with internet connection is required for coding practice and projects.
❗ Basic knowledge of using a computer and installing software will be helpful but not mandatory.
❗ Passion to learn Data Analysis, Python, AI, or Data Science is all you need to get started.

Description
Want to become a Data Analyst or start your journey inMachine Learning and AI using Python?

This course is designed forabsolute beginners who want to learnData Analysis with Python step by step, simply and practically.

Whether you are

✨ A college student

✨ A beginner in programming

✨ Switching careers

✨ Preparing for Data Analyst roles

✨ Learning AI/ML foundations

This course will help you build strong real-world data analysis skills .

What You Will Learn

✨ Python basics for data analysis

✨ NumPy from scratch

✨ Pandas for data manipulation

✨ Data cleaning techniques

✨ Handling missing values

✨ Data visualisation using Matplotlib & Seaborn

✨ Exploratory Data Analysis (EDA)

✨ Working with CSV datasets

✨ Real-world projects

✨ Data Analyst workflow

✨ Industry-level practices

✨ Beginner-friendly coding approach

Course Features

✨ 48+ structured video lectures

✨ Beginner-friendly explanations

✨ Hands-on coding practice

✨ Real-world datasets

✨ Practical projects

✨ Step-by-step learning path

✨ Notes & practice files included

✨ Learn by building projects

✨ Real Projects Included

In this course, you will work on real datasets like

✨ Netflix Dataset Analysis

✨ Sales Data Analysis

✨ Student Performance Analysis

✨ IPL / Cricket Dataset Analysis

✨ Exploratory Data Analysis Projects

These projects will help you understand how data analysts work in real companies.

Tools & Libraries Covered

✨ Python

✨ NumPy

✨ Pandas

✨ Matplotlib

✨ Seaborn

✨ Plotly

✨ CSV Files & Datasets

✨ Jupyter Notebook / Google Colab

Who this course is for
⭐ This course is designed for beginners, students, aspiring Data Analysts, Machine Learning beginners, and anyone who wants to learn Data Analysis with Python from scratch using practical real-world projects.

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