Udemy – Sales Analytics: Sales Analysis & Modeling using Excel 2025-5

Udemy – Sales Analytics: Sales Analysis & Modeling using Excel 2025-5 Downloadly IRSpace

Udemy – Sales Analytics: Sales Analysis & Modeling using Excel 2025-5
Udemy – Sales Analytics: Sales Analysis & Modeling using Excel 2025-5

Sales Analytics: Sales Analysis & Modeling using Excel, If you are a sales professional or someone looking to enter this field, knowledge of sales data analysis is a must-have skill in today’s world. Sales Analytics is an essential aspect of any sales organization, and understanding how to analyze and model your sales data can give you a competitive edge in the market. Are you tired of relying on guesswork to drive your sales strategies? Are you ready to make data-driven decisions that can increase your sales and improve your bottom line? If so, then enrolling in this course is a must. This course will give you the skills and knowledge you need to make data-driven decisions, increase sales, and achieve your career goals. Sales data analysis is critical for success in today’s fast-paced and competitive sales environment. This course will help you understand the key metrics and techniques used by top sales professionals to measure performance, identify trends, and make data-driven decisions. You’ll also learn how to effectively communicate your findings to stakeholders and drive business results. Whether you are a sales professional, marketer, business analyst, entrepreneur, or student, this course will give you the skills you need to succeed in today’s data-driven world. Enroll now and take the first step towards becoming a sales analytics expert.

What you’ll learn

  • Analyze data in different stages of the sales process based on analytical models
  • Create decision tree models to segment the leads and identify which segment is most likely to convert
  • Create charts and graphs in Excel to visualize sales data, including bar charts, line charts, and scatter plots
  • Analyze and make sense of sales data, and develop insights to improve sales performance using Excel
  • Create interactive dashboards using Excel, which can be used to track and monitor key sales metrics
  • Use time series forecasting to predict future sales and how to interpret and evaluate the results of these predictions
  • Perform simple linear regression analysis and use it to understand the relationship between different variables and predict future sales using Excel
  • Increase customer lifetime by identifying which customers are likely to leave using a logistic regression model
  • Find which items can be cross sold using Market Basket Analysis and Lift

Who this course is for

  • Anyone who wants to improve their ability to analyze sales data and use analytics to improve sales performance
  • Students in business, marketing, or related fields who want to learn about sales analytics and pursue a career in sales and marketing analysis
  • Sales representatives, sales managers, and other sales-related roles who want to understand the data and metrics used to measure sales performance, and use analytics to make data-driven decisions
  • Business analysts and other professionals who want to understand the data and metrics used to measure business performance, and use analytics to identify opportunities for improvement
  • Entrepreneurs who want to understand the data and metrics used to measure the performance of their business, and use analytics to make data-driven decisions

Specificatoin of Sales Analytics: Sales Analysis & Modeling using Excel

  • Publisher : Udemy
  • Teacher : Start-Tech Academy
  • Language : English
  • Level : All Levels
  • Number of Course : 69
  • Duration : 4 hours and 47 minutes

Content of Sales Analytics: Sales Analysis & Modeling using Excel

Sales Analytics_ Sales Analysis & Modeling using Excel

Requirements

  • A PC/ laptop with good internet connection and MS Excel installed on it

Pictures

Sales Analytics_ Sales Analysis & Modeling using Excel

Sample Clip

Installation Guide

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Subtitle : English

Quality: 720

Download Links

Download Part 1 – 1 GB

Download Part 2 – 481 MB

File size

1.47 GB