• Post category:StudyBullet-13
  • Reading time:11 mins read


Unlock the Power of Data: Master sales analytics techniques & build analytical models in Excel for Improved Performance

What you will 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

Description

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.

In this course, you will:

  • Prepare and process sales data to find answer to sales questions
  • Visualize sales data and create dashboards to share with stakeholders
  • Gain expertise in using decision tree models to segment leads and identify most-likely-to-convert leads
  • Master the art of sales forecasting, including trend analysis and predictive modeling
  • Become proficient in making regression model to predict churn probability and creating retention plans
  • Apply your newfound knowledge through hands-on projects and real-world case studies

Why learn Sales Analytics?

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.

Course activities

Throughout the course, you will complete hands-on projects and real-world case studies to reinforce your learning. You’ll have the opportunity to apply your newfound skills and knowledge to real sales scenarios and see the impact of your analysis on sales performance. Some of the activities you would do in this course are:

  1. Segment leads and identify the segment which is most likely to convert
  2. Forecast future sales based on historical sales data
  3. Find the relationship between sales and other factors and use it to focus resources on factors that drive sales
  4. Predict the probability of churn for customer and create a retention plan accordingly

5 Reasons why you should choose this Sales Analytics course

  1. Carefully designed curriculum teaching you about all aspects of Sales analytics and tools used while doing analysis
  2. Step-by-step guidance & sales related examples and case studies to help you become a skilled sales analyst
  3. Downloadable Excel files containing data and solutions used while creating models for sales analytics
  4. Class notes and assignments to revise and practice the concepts on sales analytics
  5. A supportive and engaging community of fellow students

What makes us qualified to teach you?


Get Instant Notification of New Courses on our Telegram channel.


The course is taught by Abhishek and Pukhraj. Instructors of the course have been teaching Data Analytics, Machine Learning and Business analytics for over a decade. They have an in-depth knowledge of business data analysis and visualization using tools like Excel, SQL, Python and Tableau.

We are also the creators of some of the most popular online courses – with over 1 million enrollments and thousands of 5-star reviews like these ones:

I had an awesome moment taking this course. It broaden my knowledge more on the power use of SQL as an analytical tools. Kudos to the instructor! – Sikiru

Very insightful, learning very nifty tricks and enough detail to make it stick in your mind. – Armand

So if you’re ready to take your sales skills to the next level, enroll in Sales Analytics: Sales Analysis & Modeling using Excel today!

Cheers

Start-Tech Academy

English
language

Content

Introduction

Welcome to the course
Course resources
Defining Sales Analytics
Types of Analysis
Quiz

Measuring performance using KPIs

Introduction to Sales KPIs
KPIs to measure Salesperson performance
Marketing KPIs
Financial KPIs
Customer related KPIs
Quiz – Sales KPI’s
Case Study on KPI’s – Blunder Pifflin
About the case and data
Case study – Joining data tables in Excel
Cleaning the data using filters in Excel
Finding Lead Conversion Time
Practice Activity

Analyzing sales data and finding answers

Aggregating data on regions
Aggregating data on categories
Aggregating data on time dimension
Evaluating salesperson performance
Practice Activity

Visualizing Sales Data

Pie Chart for region-wise percentage contribution
Bar chart for category-wise average order value
Line chart for lead generation trends
Scatterplot for salesperson performance analysi
Creating a simple sales dashboard
Practice Activity

Modeling the sales process & Prospecting

The Whale model
Data questions from whale model
Quiz – whale model
Lead segmentation using decision trees
Preparing Excel for analysis – XLSTAT
Lead Segmentation Case Study
About the lead data
Building a decision tree model in Excel
Interpreting result – Tree nodes
Interpreting result – Classification criteria
Inference from the model result
Predicting using the trained model
Advanced customization options for decision trees
Practice Activity

Deriving more value from existing customers

Market Basket Analysis – Identify what to cross-sell
Prerequisite – Excel Solver
Perform MBA and Lift in Excel
Quiz – Market basket analysis and Lift
Practice Activity

Sales Forecasting

Introduction to sales forecasting
Trend and Seasonality model for sales forecasting
Additive time series model in Excel
Multiplicative time series model in Excel
Linear regression model for predictions
Understanding the output of linear regression model
Quiz – Sales forecasting
Case study – Linear regression
About the data
Preprocessing the data
Building a linear regression model in Excel
Predicting values using the trained model
Using XLSTAT for creating a linear regression model
Practice Activity

Increasing Customer Lifetime

Importance of retention for sales teams
Logistic regression model for churn prediction
Confusion Matrix for model accuracy
Quiz – Retention and logistic regression
Retention case study and data
Creating a logistic regression model using Excel
Predicting churn probability using trained model
Practice Activity

Congratulations and about your certificate

Bonus lecture