Data Analysis using STATA-Intermediate level

About Course

Welcome to the transformative journey into the world of data analysis with STATA – an immersive course designed to empower you with the skills and knowledge needed to harness the potential of data for informed decision-making. In an era where data drives critical choices across diverse industries , mastering the art and science of data analysis is not just a skill; it’s a strategic advantage.

STATA, a versatile and powerful statistical software, is at the heart of this journey. Its user friendly interface, extensive capabilities, and robust statistical tools make it the preferred choice for professionals and researchers worldwide. Whether you are a novice eager to explore the basics or an experienced analyst aiming to refine your skills, this course caters to all levels, ensuring you become proficient in leveraging STATA for comprehensive data analysis.

What Awaits You:

Hands-On Learning: Immerse yourself in a dynamic learning experience with hands-on exercises, real-world case studies, and interactive sessions that bridge the gap between theory and practical application.
Comprehensive Coverage: From the fundamentals of data management and exploratory data analysis to hypothesis testing including but not limited to; linear and logistic regression models, ANOVA, post-hc test, t-tests, Chi square, correlation, Data visualization and non- parametric tests such as Kruskal Wallis, Wilcoxon rank-sum test,etc. Our comprehensive curriculum ensures you master a diverse array of analytical tools.
Expert Guidance: Learn from seasoned instructors with extensive experience in both data analysis and STATA. Benefit from their insights, practical tips, and real-world examples that bring the concepts to life.
Practical Projects: Apply your knowledge through practical projects, tackling real-world challenges. Gain the confidence to navigate complex datasets and extract meaningful insights that drive impactful decisions.
Peer Collaboration: Engage with a community of like-minded learners, fostering collaboration, knowledge exchange, and a supportive network that extends beyond the course duration.

Join the Data Revolution: Your Future Begins Here

Understand and apply univariate,Bivariate and Multivariate analysis
Data cleaning and Manipulation in STATA
Transforming string data to coded
Renaming variable labels
Creating new variables
Deleting variables
Recoding and replacing data
Transforming numerical data to categories
Normality test for numerical data
Descriptive statistics for qualitative and quantitative data
Data visualization
Histograms bar plots, scatter plots, and box plots
Customizing charts and plots
Exporting charts and plots for reports
Understand how to select the right statistical test for analysis
Use P value to draw conclusions about data
Perform and interpret t-tests
Perform and interpret Chi-square test
Analysis of Variance (ANOVA)
Post Hoc Analysis
Perform and interpret Simple and multiple linear regression
Perform and interpret Bivariate and multivariate logistic regression
Understand Odds ratios and coefficients
Non parametric tests

Course Content

Introduction to STATA Interface
For beginners, if this is your first encounter with STATA software, this is to provide you with a brief introduction to STATA for purposes to make your data analysis using STATA-Intermediate level a smooth progress.

Useful Learning Resources

01:18
STATA interface

13:45

Data Transformation and Cleaning
• Handling missing data • identifying outliers and duplicates • Deleting variables • Labeling data values • Transforming string to coded (Encoding) • Renaming Variables • Renaming variable labels • Creating new variables • Recoding and replacing data • Categorizing numerical data • Normality test • Descriptive statistics • Exploratory Data Analysis (EDA)

Identification of Errors in Data set

21:32
Managing Errors in Data set

25:30
Renaming Variables and Variable labels

08:13
Labeling Data Values

09:33
Transforming string variables to coded data

14:20
Advanced replace command using “if” Qualifier

10:58
Converting Numerical Data to Categories

13:39
Normality Test for Numerical data Part 1

10:43
Normality test for Numerical data Part 2

09:52
2×2 Tabulation-EDA extended

12:39
Quiz

Data Visualisation

Inferential statistics

Understanding Univariate, Bivariate and Multivariate Analysis

08:49
Statistical Test selection

09:50
Descriptive Statistics

17:23
One sample t-test

15:55
Two sample t-test

11:41
Test for measure of association (Chi Square test)

09:35
Bivariate Logistic Regression

29:51
Postestimation analysis-Marginal prediction

08:30
Multivariate Logistic Regression

22:48
Crude and Adjusted Odds ratio

02:13
Simple linear regression Analysis

09:10
Post estimation analysis-Linear prediction

04:54
Multivariate linear regression

05:15
Analysis of Variance (ANOVA)

00:00
Post-hoc Analysis

00:00
Non parametric tests

00:00

Course recap and Summary

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About Course

What Will You Learn?

Course Content

Introduction to STATA Interface For beginners, if this is your first encounter with STATA software, this is to provide you with a brief introduction to STATA for purposes to make your data analysis using STATA-Intermediate level a smooth progress.

Useful Learning Resources

STATA interface

Identification of Errors in Data set

Managing Errors in Data set

Renaming Variables and Variable labels

Labeling Data Values

Transforming string variables to coded data

Advanced replace command using “if” Qualifier

Converting Numerical Data to Categories

Normality Test for Numerical data Part 1

Normality test for Numerical data Part 2

2×2 Tabulation-EDA extended

Quiz

Data Visualisation

Different Data visualization techniques for Qualitative and Quantitiative data part 1

Data Visualization part 2

Data Visualization Part 3

Customizing Charts and plots

Exporting Plots and Charts to reports

Quiz

Inferential statistics

Understanding Univariate, Bivariate and Multivariate Analysis

Statistical Test selection

Descriptive Statistics

One sample t-test

Two sample t-test

Test for measure of association (Chi Square test)

Bivariate Logistic Regression

Postestimation analysis-Marginal prediction

Multivariate Logistic Regression

Crude and Adjusted Odds ratio

Simple linear regression Analysis

Post estimation analysis-Linear prediction

Multivariate linear regression

Analysis of Variance (ANOVA)

Post-hoc Analysis

Non parametric tests

Course recap and Summary

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Student Ratings & Reviews

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Introduction to STATA Interface
For beginners, if this is your first encounter with STATA software, this is to provide you with a brief introduction to STATA for purposes to make your data analysis using STATA-Intermediate level a smooth progress.