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Tech Stack Used

Lesson 2: Tech Stack Used

This project uses the following technologies and tools:

  • Python: Core programming language used for data analysis and visualization.
  • Google Colab: Platform used to run notebooks and execute Python code online.
  • Pandas: Used for loading the CSV file, cleaning data, handling missing values, and performing analysis.
  • NumPy: Used for numerical operations and data type handling.
  • Matplotlib: Used to create basic visualizations such as line plots and bar charts.
  • Seaborn: Used to create advanced and visually appealing statistical charts for analysis.

These tools work together to convert raw data into meaningful insights.

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Sales Data Analysis Project for Beginners Using Data Science

J

Jebasta

Sales Data Analysis Project for Beginners Using Data Science

MODULE 1 : Introduction
lessonIntroduction
lessonWhat Is Data Science?
lessonWhat Is Sales Data Analysis?
lessonAim of the Project
MODULE 2 : Pre-requisites and Tech Stack Used
lessonPre-requisites & Tech Stack Used
lessonBasic Requirements
lessonTech Stack Used
lessonInput and Output
MODULE 3 : Necessary Concepts
lessonNecessary Concepts
lessonData Cleaning
lessonHandling Missing Values
lessonData Type Conversion
lessonData Aggregation and Grouping
lessonExploratory Data Analysis (EDA) and Data Visualization
lessonCharts Used in the Analysis
MODULE 4 : Step-by-Step Implementation
lessonStep-by-Step Implementation
lessonDataset Download and Environment Setup
lesson Loading the Dataset
lessonUnderstanding the Dataset
lessonData Cleaning and Preparation
lessonExploratory Data Analysis and Visualization
MODULE 5 : Data Analysis and Insights From Sales Data
lessonData Analysis and Insights From Sales Data
lessonRevenue Trends Over Time
lessonTop Products by Revenue
lessonQuarterly Revenue Analysis
lessonCustomer Insights Based on Revenue
MODULE 6 : Conclusion
lessonConclusion
lessonLearning Outcome
lessonLive Output and Analysis Overview
lessonMCQs
lessonResources

Get in Touch For Details

Sales Data Analysis Project for Beginners Using Data Science

MODULE 1 : Introduction
lessonIntroduction
lessonWhat Is Data Science?
lessonWhat Is Sales Data Analysis?
lessonAim of the Project
MODULE 2 : Pre-requisites and Tech Stack Used
lessonPre-requisites & Tech Stack Used
lessonBasic Requirements
lessonTech Stack Used
lessonInput and Output
MODULE 3 : Necessary Concepts
lessonNecessary Concepts
lessonData Cleaning
lessonHandling Missing Values
lessonData Type Conversion
lessonData Aggregation and Grouping
lessonExploratory Data Analysis (EDA) and Data Visualization
lessonCharts Used in the Analysis
MODULE 4 : Step-by-Step Implementation
lessonStep-by-Step Implementation
lessonDataset Download and Environment Setup
lesson Loading the Dataset
lessonUnderstanding the Dataset
lessonData Cleaning and Preparation
lessonExploratory Data Analysis and Visualization
MODULE 5 : Data Analysis and Insights From Sales Data
lessonData Analysis and Insights From Sales Data
lessonRevenue Trends Over Time
lessonTop Products by Revenue
lessonQuarterly Revenue Analysis
lessonCustomer Insights Based on Revenue
MODULE 6 : Conclusion
lessonConclusion
lessonLearning Outcome
lessonLive Output and Analysis Overview
lessonMCQs
lessonResources

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HCL GUVI (Grab Your Vernacular Imprint) Geek Network Private Limited is a leading online learning and skills development company, incubated by IIT Madras and IIM Ahmedabad.

Established in 2014 and acquired by the HCL Group in 2022, HCL GUVI is dedicated to providing effective and high-quality learning and skilling programs that transcend language barriers in technology education. HCL GUVI today is trusted by over 4.8 million users, 20 languages and 2500+ corporate partners.

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Refer & Earn

HCL GUVI (Grab Your Vernacular Imprint) Geek Network Private Limited is a leading online learning and skills development company, incubated by IIT Madras and IIM Ahmedabad.

Established in 2014 and acquired by the HCL Group in 2022, HCL GUVI is dedicated to providing effective and high-quality learning and skilling programs that transcend language barriers in technology education. HCL GUVI today is trusted by over 4.8 million users, 20 languages and 2500+ corporate partners.

app storeplay storeRefer & Earn
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