Introduction

Statistical Business Analysts to uncover patterns, make informed decisions, and gain a competitive edge. This training provides a comprehensive understanding of statistical techniques, data analysis, and predictive modeling to help professionals make data-backed business decisions. Participants will learn key concepts such as hypothesis testing, regression analysis, and data visualization, equipping them with the skills needed to transform raw data into actionable insights.

Prerequisites

• Basic knowledge of mathematics and statistics
• Familiarity with Microsoft Excel or any data analysis tool (e.g., R, Python, SAS)
• Understanding of fundamental business concepts

Table of Contents

1. Introduction to Statistical Business Analysis
1.1 Understanding the Role of Statistics in Business
1.2 Importance of Data-Driven Decision Making
1.3 Key Statistical Concepts and Terminologies

2. Data Collection and Preparation
2.1 Data Types and Sources in Business Analysis
2.2 Data Cleaning and Preprocessing Techniques
2.3 Handling Missing and Outlier Data

3. Descriptive Statistics and Data Visualization
3.1 Measures of Central Tendency (Mean, Median, Mode)
3.2 Measures of Variability (Range, Variance, Standard Deviation)
3.3 Data Visualization Techniques (Charts, Graphs, and Dashboards)

4. Probability and Hypothesis Testing
4.1 Basic Probability Concepts for Business Decision Making
4.2 Null and Alternative Hypotheses
4.3 t-Tests, Chi-Square Tests, and ANOVA

5. Regression Analysis for Business Insights
5.1 Simple and Multiple Linear Regression
5.2 Interpreting Regression Coefficients
5.3 Identifying Business Trends Using Regression Models

6. Predictive Analytics and Forecasting
6.1 Introduction to Predictive Modeling
6.2 Time Series Analysis for Business Forecasting
6.3 Implementing Predictive Models in Decision Making

7. Business Applications of Statistical Analysis
7.1 Market Trend Analysis
7.2 Customer Segmentation Using Statistical Methods
7.3 Fraud Detection and Risk Assessment

8. Case Studies and Hands-on Practice
8.1 Real-World Business Scenarios Using Statistical Analysis(Ref: SAS Statistical Business Analyst exam training)
8.2 Data-Driven Decision Making in Different Industries
8.3 Final Project and Practical Implementation

Conclusion

Statistical business analysis is a critical skill that empowers professionals to make data-backed decisions with confidence. By mastering key statistical techniques and predictive modeling, participants can drive business success through insightful analytics. This Statistical Business Analysts training equips learners with practical skills to analyze business data effectively, optimize strategies, and enhance decision-making processes in any industry.

Reference