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Best Practices in Data Cleaning and Statistical Assumptions

Name: Best Practices in Data Cleaning and Statistical Assumptions
Price: 499 INR
Availability: InStock

Learn to prepare data for analysis by testing statistical assumptions, cleaning and screening data, and addressing common myths about power, sampling, and distributional normality. This course covers practical techniques for handling outliers, transformations, complex sampling, and missing data to improve research quality.

What You'll Learn

Test and evaluate statistical assumptions including normality, linearity, and homoscedasticity

Apply data cleaning and screening techniques to identify and handle outliers and missing data

Calculate and interpret statistical power and its impact on replicability

Account for complex sampling designs in statistical analysis

Use transformations such as Box-Cox to address distributional violations

Critically evaluate research practices related to data cleaning and assumption testing

About this course

Best Practices in Data Cleaning and Statistical Assumptions is a self-paced beginner-level finance online course on GreyAcademy, taught by Saurav Singh. It has 13 modules and 15 chapters, and it takes about 10 hours to complete. Enrol once and learn at your own pace. You get a completion certificate when you finish all the lessons.

Topics covered: BEST PRACTICES AS YOU, BEST PRACTICES IN, PREFACE, ABOUT THE AUTHOR, • SECTION I •, • SECTION II •, Performing a K-S or S-W Test, Data Missing Completely at Random (MCAR), SUMMING UP: WHAT ARE BEST PRACTICES?, Score on Exam, Socioeconomic Status Composite, WHEN A VARIABLE VIOLATES THE ASSUMPTION OF NORMALITY and more.

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Course Content

Module 1

Introduction

3 chapters

BEST PRACTICES AS YOULocked

→

BEST PRACTICES IN

Your Instructor

This Course Includes

Lifetime access

Mobile & desktop access

Certificate of completion

Price Breakdown

Course Fee:₹423

1 chapters

• SECTION III •Locked

→

Saurav Singh

Trading expert with 15+ years of experience. Built 19 companies and invested in 78 startups.

sauravsingh@cre8r.in

Best Practices in Data Cleaning and Statistical Assumptions

What You'll Learn

About this course

Course Content

Introduction

Your Instructor

Student Reviews

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This Course Includes

Price Breakdown

ABOUT THE AUTHOR

• SECTION I •

• SECTION II •

Performing a K-S or S-W Test

Data Missing Completely at Random (MCAR)

SUMMING UP: WHAT ARE BEST PRACTICES?

Score on Exam

Socioeconomic Status Composite

WHEN A VARIABLE VIOLATES THE ASSUMPTION OF NORMALITY

Student Test Grades

RELIABILITY AND MULTIPLE REGRESSION

• SECTION III •

Saurav Singh

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