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Sales data Analysis in Python
Rating: 4.3 out of 5(56 ratings)
3,301 students

Sales data Analysis in Python

Indian sales data analysis, data analysis using seaborn and pyplot in python, Data visualization in python
Created byHarman Waheed
Last updated 6/2024
English

What you'll learn

  • How to analyze large dataset in python
  • How to visually see important components of data
  • In-depth knowledge of patterns of seaborn in python
  • Graphs handling through matplotlib

Course content

3 sections19 lectures39m total length
  • What you need to start0:25
  • What in this course0:48
  • Dataset we will be working with0:12
  • Downloading dataset2:26

Requirements

  • No programming experience is required. If you understand python a little, its a plus point

Description

Hi there, welcome to this course of Sales data analysis in python. Its for you if you want to get started or in field of data analysis. We will go advanced in data analysis through graphs in python.

We hope you are already familiar with the language 'English' just. Yeah! Even if you are beginner you can start this course and will hopefully enjoy it!

In this course we will be extracting meaningful information from a large dataset with 11k data points. Its a large data with many columns like customer id, name, number of orders, amount spent etc.


We will be using an Indian sales dataset. The dataset contain almost 10k rows of data with many columns like customer name, costumer id, product customer bought, amount he spent, number of orders he made and a few more.

What we will do in this course:

  • Clean our data

  • Analyze it

  • Extract some patterns in data

  • Extract product giving good result economically

  • Extract the type of audience interested in shopping

And much more! gear up!

It is advanced that you should practice the codes as well with us. This will create a strong base of yours in the field of data science and analytics.

Good luck for your journey!



Who this course is for:

  • a person who want to boost his/her skills in data analysis and visualization in python
  • a person interested in recognizing hidden patterns in data