The ExpertRating Online Statistics Course
(leading to ExpertRating Statistics Certification).

Statistics provides unique, investigative insights to data and presents that data objectively. The days of making decisions by instinct or coin toss are long gone. Nowadays decisions are based on facts and if these facts are numerical data, then Statistics comes into play. If you are planning a career in Statistics or management, you cannot afford to miss this online Statistics course! Give yourself an employment advantage by developing analytical and mathematical skills that are consistently in high demand.

ExpertRating Statistics Certification

Careers in Statistics are on an upswing and the demand for trained Statistics currently exceeds supply. So give your career an edge by registering yourself for this Statistics Course.  

 Online Statistics Course requirements: For taking this Online Statistics Course you need Proficiency with basic algebra, Internet access, e-mail, and the Microsoft Internet Explorer or Mozilla Firefox Web browser.

          

          

Boost your job and career prospects with the ExpertRating Statistics Certification.

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ExpertRating Statistics Certification Course Coverage (Chapters 1-6)

This in-depth courseware includes all aspects of Statistics.

Chapter 1- Statistics Certification Program
Chapter 2- Organizing and Presenting your Data
Chapter 3- Measures of Central Tendency and Dispersion
Chapter 4- Introduction to Probability
Chapter 5- Research Methods
Chapter 6- Sampling


Chapter 1- Statistics Certification Program

1.1 The Final Certification Test
1.2 Introduction
1.3 Understanding the How, What, and Why of Data
1.4 What is Statistics?
1.5 Branches of Statistics
1.6 Why is data needed?
1.7 Data collection: Sources and methods
1.8 Statistics and Computer Programs
1.9 Summary of Key Concepts
1.10 Chapter Review Questions

Chapter 2- Organizing and Presenting your Data

2.1 Data Organization
2.2 Presenting Your Data
2.3 Cross Tabulating Your Data
2.4 Summary of Key Concepts
2.5 Chapter Review Questions

Chapter 3- Measures of Central Tendency and Dispersion

3.1 What is central tendency?
3.2 Measures of Dispersion
3.3 Summary Of Key Concepts
3.4 Chapter Review Questions

Chapter 4- Introduction to Probability

4.1 Probability Concepts
4.2 Visualizing Probability Events
4.3 Summary Of Key Concepts
4.4 Chapter Review Questions

Chapter 5- Research Methods

5.1 Scientific Research Method
5.2 Quantitative Research Methods
5.3 Qualitative Research Methods
5.4 Research Ethics
5.5 Summary of Key Concepts
5.6 Chapter Review Questions

Chapter 6- Sampling

6.1 Sampling Process
6.2 Probability Sampling
6.3 Non-Probability Sampling
6.4 Sampling Methods' Strengths and Weaknesses
6.5 Summary of Key Concepts
6.6 Chapter Review Questions

 
   
 

Continued...... Course Coverage (Chapters 7-12)

Chapter 7- Hypothesis Testing
Chapter 8- Correlations between Variables
Chapter 9- Making Predictions- Linear Regression Analysis- Part 1
Chapter 10- Making Predictions Linear Regression Analysis - Part 2
Chapter 11- Making effective comparisons through Analysis of Variance (ANOVA)
Chapter 12- Using Excel in Statistics


Chapter 7- Hypothesis Testing

7.1 Populations and Samples
7.2 Hypothesis Testing Process
7.3 Hypothesis Testing in a Nutshell
7.4 Summary Of Key Concepts
7.5 Chapter Review Questions

Chapter 8- Correlations between Variables

8.1 Correlation
8.2 Correlation Co-efficient
8.3 Summary of Key Concepts
8.4 Chapter Review Questions

Chapter 9- Making Predictions- Linear Regression Analysis- Part 1

9.1 Relationship between Variables- Correlation Analysis
9.2 Conducting Regression Analysis
9.3 Summary of key concepts
9.4 Chapter Review Questions

Chapter 10- Making Predictions Linear Regression Analysis - Part 2

10.1 Random Error Term
10.2 Multiple Regression
10.3 Strengths and Limitations Of Regression Analysis
10.4 Summary Of Key Concepts
10.5 Chapter Review Questions

Chapter 11- Making effective comparisons through Analysis of Variance (ANOVA)

11.1 Two Sample Tests or T-test
11.2 The t-test and ANOVA
11.3 ANOVA: an assessment
11.4 Summary Of Key Concepts
11.5 Chapter Review Questions

Chapter 12- Using Excel in Statistics

12.1 Measures of Central Tendency (Refer to Chapter 3)
12.2 Measures of Dispersion (Refer to Chapter 3)
12.3 Hypothesis Testing (Refer to Chapter 7)
12.4 Correlation Analysis (Refer to Chapter 8)
12.5 Simple Linear Regression Analysis ( Refer to Chapter 9)
12.6 Multiple Regression Analysis (Refer to Chapter 10)
12.7 Analysis of Variance ANOVA (Refer to Chapter 11)