-
Need Identification (Objective) : Analyzing sales data to improve customer experience and increase revenue.
-
Data Collection : Chose random sales dataset from google in .csv format.
-
Data Cleaning : Performed Data cleaning and manipulation by removing duplicate or irrelevant observations, fixed structural errors, handle missing values.
-
Exploratory Data Analysis(EDA) : Performed Exploratory Data Analysis(EDA) using python libraries like pandas, numpy.
- Visualization : Data Visualization using through various charts using python libraries like matplotlib and seaborn.
By performing data analysis steps gained useful insights from raw data which help organization to increase revenue.