Data analysis with python

voska89 · 2026-06-03T04:36:40+0100

Data analysis with python
Published 6/2026
Created by Akansha yadav
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 51 Lectures ( 27h 20m ) | Size: 18 GB

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.
Homepage

Code:

https://www.udemy.com/course/python-with-codingdidi

Data analysis with python

voska89

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