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  • Course Length:
  • 4 hours

In the age of Automation and AI, statistics are critical in developing automation capabilities or just understanding how AI works. This course provides an overview of statistics and analytics that are used within the telecom industry. Statistics principles are explored from a definition, functional and specific uses perspective. It starts with an introduction to Data Science Fundamentals. The course then moves to key Statistical Analysis and Inference techniques. The course concludes with a discussion on Time Series and the uses within the telecom industry.

A high-level technical overview to personnel involved in product management, marketing, planning, design, engineering, and operating wireless (4G, 5G) and wireline access networks

After completing this course, the student will be able to:
■ Describe Statistical Analysis
■ Describe Inference
■ Describe Linear Regression
■ Describe Logistic Regression
■ Analyze Time Series

1. Data Science Fundamentals
1.1 Measures of central tendency
1.2 Measures of Dispersion
Exercise: Use Case Example

2. Statistical Analysis
2.1 Hypothesis testing
2.2 Type I and Type II Error
2.3 Correlation Analysis
Exercise: Hypothesis Testing Examples

3. Inference
3.1 Linear Regression interpretation
3.2 Logistic Regression interpretation
Exercise: Linear vs. Logistic Regression Examples

4. Time Series
4.1 Introduction to Time Series
Exercise: Time Series Example