Indian sales data analysis, data analysis using seaborn and pyplot in python, Data visualization in python, urdu hindi

What you will 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


Hi, videos of this course is recorded in Urdu or Hindi language and written lectures are in English language. You can view total English version of this course of mine in my account as well.

Programming language in this course: Python

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!

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It is advised 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.

This course is for you 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.

Good luck for your journey!




Language in this course
How to complete this course

Beginning with dataset

Downloading and importing dataset
Downloading and loading dataset in python live
Cleaning our data
deleting null values

Plotting Graphs

Visualizing dataset, countplots for better understanding
Comparison graphs, interrelating and understanding sales
Sales analysis based on product category and gender of costumer
sales analysis based on occupation and age groups of costumer
Video lecture: plotting basic graphs, part 1
Video lecture: changing graph size, part 2
Video lecture: plotting more graphs, part 3
Video lecture: Adding borders, part 4
Video lecture, Groupby function to analyze dataframes, part 5


All done for this course