Learning Data analysis with python

[voska89]

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

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

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