Sales Analytics: Sales Analysis & Modeling using Excel- (Free Course)

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What you’ll learn

  1. Analyze data at various stages of the sales process based on analytical models
  2. Create a decision tree model to segment prospects and identify which segments are most likely to convert
  3. Create charts and graphs in Excel to visualize sales data, including bar charts, line charts, and scatter charts
  4. Analyze and interpret sales data and develop insights to improve sales performance with Excel
  5. Build interactive dashboards with Excel that can be used to track and monitor key sales metrics
  6. Use time series forecasts to predict future sales and how to interpret and evaluate the results of those forecasts
  7. Perform a simple linear regression analysis and use it to understand the relationship between various variables and predict future sales with Excel
  8. Increase customer lifetime by using a logistic regression model to determine which customers are likely to leave
  9. Find out which items can be cross-sold with cart analysis and promotions

This course includes:

  • 4.5 hours of video on demand
  • 6 quizzes
  • 10 items
  • Certificate of completion

Description

If you are a sales professional or someone looking to enter the field, knowledge of sales data analysis is a must in today’s world. Sales analytics is a fundamental aspect of any sales organization and understanding how to analyze and model your sales data can give you a competitive advantage in the marketplace. Tired of relying on guesswork to drive your sales strategy? Are you ready to make data-driven decisions that can increase your sales and profits? Then enrollment in this course is mandatory. 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:

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Prepare and process sales data to answer sales-related inquiries

Visualize sales data and create dashboards to share with stakeholders

Gain experience using decision tree models to segment prospects and identify the prospects most likely to convert

Master the art of sales forecasting, including trend analysis and predictive modeling

Learn how to build a regression model to predict possible recalls and create a retention schedule

Apply your new knowledge through hands-on projects and real-world case studies

Why study Sales Analytics?

Analyzing sales data is critical to success in today’s fast-paced and competitive sales environment. This course will help you understand the key metrics and techniques top sales professionals use to measure performance, spot trends, and make data-driven decisions. You will also learn how to communicate your findings effectively 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 thrive in today’s data-driven world. Sign up now and take the first step to become a sales analytics expert.

course activities

During the course, you will complete hands-on projects and real-life case studies to deepen your learning. You will have the opportunity to apply your newly acquired skills and knowledge to real-world sales scenarios and see the impact your analysis has on sales performance. Some of the activities that you will do in this course are:

Segment your prospects and identify the segments most likely to convert

Predict future sales based on historical sales data

Find the relationship between sales and other factors and use them to focus resources on the factors driving sales

Predict possible customer churn and create a retention plan accordingly

How to Get this course FREE?

Note: The udemy Courses Will be free for a Maximum of 1000 Learners can use the promo code AND Get this course 100% Free. After that, you will get this course at a discounted price. (Still, It’s a good deal for you to get this course at a discounted price).

External links may contain affiliate links, meaning we get a commission if you decide to make a purchase. Read our disclosure.

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