Sales data Analysis in Python

Sales data Analysis in Python, available at Free, has an average rating of 4.25, with 19 lectures, based on 26 reviews, and has 1993 subscribers.

You will learn about 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 This course is ideal for individuals who are a person who want to boost his/her skills in data analysis and visualization in python or a person interested in recognizing hidden patterns in data It is particularly useful for a person who want to boost his/her skills in data analysis and visualization in python or a person interested in recognizing hidden patterns in data.

Enroll now: Sales data Analysis in Python

Summary

Title: Sales data Analysis in Python

Price: Free

Average Rating: 4.25

Number of Lectures: 19

Number of Published Lectures: 19

Number of Curriculum Items: 19

Number of Published Curriculum Objects: 19

Original Price: Free

Quality Status: approved

Status: Live

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

Who Should Attend

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

Target Audiences

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

Hi there, welcometo 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!

Course Curriculum

Chapter 1: Introduction

Lecture 1: What you need to start

Lecture 2: What in this course

Lecture 3: Dataset we will be working with

Lecture 4: Downloading dataset

Chapter 2: Working with our data

Lecture 1: Importing data in python

Lecture 2: Importing dataset in python environment

Lecture 3: Dealing with missing data

Lecture 4: Dealing with missing data video

Lecture 5: Plotting graphs, Extracting data

Lecture 6: Plotting graphs in python, video

Lecture 7: Plotting graphs in python again, video

Lecture 8: Comparison Graphs: CG

Lecture 9: CG: Advanced Plotting, classifying sales on bases of Occupation and Gender both

Lecture 10: Video for upper details

Lecture 11: CG: Classifying sales on the bases of Category of product and Gender

Lecture 12: CG: Analyzing sales with Age Group and Occupation

Lecture 13: Video for upper details

Chapter 3: What next

Lecture 1: you should..

Lecture 2: Congratulations

Instructors

Harman Waheed
Data Scientist

Rating Distribution

1 stars: 1 votes

2 stars: 2 votes

3 stars: 2 votes

4 stars: 9 votes

5 stars: 12 votes

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