Data Analysis End-to-End Project for RESUME | STEP BY STEP | Python Project for Data Analyst

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Welcome to our YouTube channel! In this video, we will take you through an exciting project where we dive deep into Amazon sales data analysis using the powerful combination of Excel and Python.

In today's data-driven world, analyzing sales data is crucial for businesses to make informed decisions and optimize their strategies. We will guide you step by step through the process, demonstrating how to leverage various Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn to extract valuable insights from raw data.

Throughout this project, we'll cover the basics, ensuring that viewers of all skill levels can follow along and understand the concepts. Whether you're a beginner looking to learn the fundamentals of data analysis or an experienced professional seeking to expand your knowledge, this video is for you!

Here's a breakdown of what you can expect:

1. Introduction to the project and the importance of analyzing Amazon sales data.
2. Setting up your development environment with Python, Excel, and the necessary libraries.
3. Loading the raw sales data into Pandas DataFrames for efficient manipulation and analysis.
4. Cleaning and preprocessing the data to ensure accuracy and reliability.
5. Performing descriptive statistics using NumPy to gain insights into the dataset.
6. Visualizing sales trends and patterns using Matplotlib and Seaborn.
7. Conducting correlation analysis to identify relationships between different variables.
8. Generating meaningful reports and visualizations to communicate findings effectively.

By the end of this video, you will have a solid foundation in analyzing sales data, using Excel and Python as your go-to tools. The skills you'll gain can be applied to a wide range of real-world scenarios, empowering you to make data-driven decisions and propel your business or career to new heights.

Whether you're an aspiring data analyst, an entrepreneur, or someone who simply wants to harness the power of data, this project is a must-watch. So grab your notepads and join us on this exciting journey of Amazon sales data analysis using Excel and Python!

Don't forget to like, subscribe, and hit the notification bell to stay updated with our latest tutorials and projects. Let's dive into the world of data analysis together!

00:00 Introduction to Python Project
00:40 Install python
02:18 Install Jupyter Notebook
03:27 Download project Data
04:57 Jupyter Notebook Basic
05:30 Basic python project
06:34 Python Data cleaning
26:35 python EDA
44:19 Conclusion
45:22 Thank you

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🟩 𝐉𝐨𝐢𝐧 𝐖𝐡𝐚𝐭𝐬𝐀𝐩𝐩 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐟𝐨𝐫 𝐍𝐨𝐭𝐞𝐬 & 𝐔𝐩𝐝𝐚𝐭𝐞𝐬 🟩
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🟪 ✔️ 𝐌𝐚𝐤𝐞 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐨𝐧 𝐖𝐢𝐭𝐡 𝐔𝐬 𝐎𝐧 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 ✔️ 🟪
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🟨 𝐉𝐨𝐢𝐧 𝐔𝐬 𝐎𝐧 𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦🟨
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🟦 𝐅𝐨𝐫 𝐍𝐨𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐉𝐨𝐢𝐧 𝐎𝐮𝐫 𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦 𝐂𝐡𝐚𝐧𝐧𝐞𝐥 🟦
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🟩 𝙏𝙤 𝙙𝙤𝙬𝙣𝙡𝙤𝙖𝙙 𝙈𝙉𝘾 𝙅𝙤𝙗 𝘾𝙤𝙫𝙚𝙧 𝙇𝙚𝙩𝙩𝙚𝙧𝙨 𝙖𝙣𝙙 𝙍𝙚𝙨𝙪𝙢𝙚 𝙅𝙤𝙞𝙣 𝙤𝙪𝙧 𝙏𝙚𝙡𝙚𝙜𝙧𝙖𝙢 𝙂𝙧𝙤𝙪𝙥🟩
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🌈🌈 𝐋𝐢𝐧𝐤🌈🌈

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This is a great video for beginers but i wish there was more analysis such as:

Time-Based Analysis
Geographical Analysis
B2B vs B2C Analysis
Correlation Analysis
Returns and Cancellations

Delhiteonmission
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yes, perfect tutorial for every bigginer

remydhaliwal
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Great job, I literally understood today what data analysis is....thanks you so much.

the_realkumar
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Madam thx for the project aap ne etane mehanat ke sath esko banaya or hame learn karaya ap ka bahod bahod dhanyabad madam 🙏 thx khup mast watala project minapn try karnar 🙏 thx madam onnce again .

rohitingale
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Great Work Swati !!!! I hope you will touch the heights of Success soon.

aniketpatil
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Great .. clear and deep explanation of the task in a short video !! Great teaching 🙏🏻🙏🏻

ndhakal
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It's a fascinating tutorial for complete beginners in Python, I'm delighted to do this project with your guidance. It would be helpful if you could assist us with how we can publish our work as well

njamrutharikka
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a slight tapori accent but she knows what she is doing and explanation part is really good

lalitbagale
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very well explained, even better than my mentor 😅

aspirant
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swati di hai to ky ku tension leneka .... tension lene ka nhi de ne ka ... nice Marathi mulgi Jay maharashtra..

financialempire
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Good explanation and I like the accent 👍 please post more videos like this

vidyasagarjkollurkar
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If your video had English subtitle not only Indian but also many people would watch this.
But again Tnx.❤. For sharing this vid.

Toxicm
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thanku so much, keep up the good work guys

BikramjotSingh
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aap company main data anaysis in python main krte ho OR is ke elava kuch or extra/customize reqquest
bhi hota hai? AAp ki video se basic ache se clear ho rha hai. Thank you!

gauravarora
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Great video ma'am, but i have one question is it good practices to delete all null values or we should replace with some other values as in this project data decrease drastically from 1.2 lac rows to appx 40k, also i watched the dashboard report video of this amazon project on your channel where sir replaced null value with zero, so can you please do one project where null values are replaced with other value like mean or mode.
The video is very informative keep up the good work ❤

rizwan
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Super, merci beaucoup pour ce partage 👍

beullele
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Thank You for the video. one question, ye chart hum client ko send kese krte hai. mean hum only conclusion hi client ko btate hai OR charts or kuch orr information bhi dete hai.

gauravarora
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this project code was already written or given and we just 'cleaned' it and did some eda but does a data analyst code themselves for any projects usually? Or is it that the code is always given in any project?

Bengali_girl_
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you have directly delete all the null values .. no need to check if other data will b important one ? of different columns .. kindly reply

nishagupta
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Mam Import karne pe error show ho raha hai ki( numpy 1.x cannot be run in numpy 2.1.0 )
kaise thik kare please reply

zeeshanperwez