course | Sales and Commercial Data Analysis
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DIGTR-1547 | Sales and Commercial Data Analysis
Course Sector : Digital Transformation and Innovation
| Duration | Date from | Date to | Course Venue | Course fees | Book a course |
|---|---|---|---|---|---|
| 3 Days | 2025-12-14 | 2025-12-16 | El Doha | $3,250 | Book now |
Course Introduction
This comprehensive course is designed to equip participants with the skills and techniques necessary to analyze sales and commercial data effectively. Throughout this program, participants will learn the fundamentals of data analysis, including data collection, cleaning, and management strategies. They will delve into exploratory data analysis techniques to uncover patterns, trends, and customer insights that inform sales and commercial strategies.
Additionally, participants will gain proficiency in advanced data analysis techniques such as predictive analytics, regression analysis, pricing analysis, and sales funnel analysis to optimize sales strategies and overall business performance. Get ready to unlock the power of data analysis and propel your sales and commercial success to new heights.
Course objective
- Develop the skills and knowledge necessary to analyze sales and commercial data effectively, enabling participants to make informed business decisions based on data-driven insights.
- Acquire proficiency in data collection, cleaning, and management techniques to ensure the accuracy and reliability of sales and commercial data for analysis.
- Enhance the ability to conduct exploratory data analysis (EDA) to uncover patterns, trends, and customer insights that drive sales and commercial success.
- Gain proficiency in advanced data analysis techniques such as predictive analytics, regression analysis, pricing analysis, and sales funnel analysis to optimize sales strategies, pricing decisions, and overall business performance.
Course Outline | Day 01
Introduction to Sales and Commercial Data Analysis
- Overview of Sales and Commercial Data Analysis
- Importance of Data Analysis in Sales and Business Decision-making
- Types of Sales and Commercial Data
- Data Collection and Management Strategies
- Data Cleaning and Validation Techniques
- Introduction to Data Analysis Tools and Software
Course Outline | Day 02
Exploratory Data Analysis for Sales and Commercial Insights
- Exploratory Data Analysis (EDA) Techniques
- Descriptive Statistics and Data Visualization
- Customer Segmentation and Profiling
- Market Basket Analysis and Cross-Selling Opportunities
- Trend Analysis and Sales Forecasting
- Key Performance Indicators (KPIs) and Metrics for Sales Analysis
Course Outline | Day 03
Advanced Data Analysis Techniques for Sales Optimization
- Predictive Analytics and Machine Learning for Sales
- Regression Analysis and Sales Drivers Identification
- Pricing Analysis and Price Optimization Strategies
- Sales Funnel Analysis and Conversion Rate Optimization
- Customer Lifetime Value (CLV) Analysis
- Sales Performance Dashboards and Reporting
- Case Studies and Real-world Applications of Advanced Data Analysis Techniques
BOOST’s Professional Attendance Certificate “BPAC”
BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.
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