Applied Data Analysis using Software: A Practical Approach to Analysing Rea

Global Research & Training is pleased to announce an upcoming online hands-on workshop on "Applied Data Analysis using Software: A Practical Approach to Analysing Real-World Datasets". This workshop aims to provide participants with vital analytical skills through practical, hands-on sessions using software. It emphasizes both the theoretical foundations and the practical application of statistical and econometric tools and technique.

Program overview:

In today’s data-driven world, proficiency in data analysis is crucial for researchers, academicians, and professionals to draw meaningful insights and support evidence-based decisions. This workshop aims to equip participants with essential analytical skills through hands-on training using statistical and econometric tools. With a focus on both theoretical understanding and practical application, it bridges the gap between academic concepts and real-world challenges. It emphasizes enhancing research quality and rigor by equipping participants with the skills to apply appropriate statistical methods and interpret results effectively. By fostering a deep understanding of data, the workshop prepares attendees to excel in their respective fields, contribute to impactful research, and compete in a globally competitive environment.

This comprehensive approach makes the workshop an invaluable resource for students, research scholars, early career researchers, faculty members and other professionals aiming to advance their careers and tackle contemporary research challenges. This workshop will be useful for participants across disciplines like economics, statistics, social sciences, sciences, business, management, medical and engineering etc. Participants will learn key techniques such as descriptive and inferential statistics, hypothesis testing, correlation and regression analysis, along with advanced methods like cross-sectional, time-series, and panel data analysis. The use of software ensures that attendees gain practical exposure to modern data analysis methods.

Program Highlights:

Dates: July 10th – 14th, 2025

Time: 3:00 PM to 6:00 PM IST

Platform: Google Meet

Topics Coverage:

Day1: Introduction to Applied Data Analysis

Introduction to statistical and econometric methods.
Overview of quantitative methods and its applications.
Meaning & Scope of Applied Data Analysis
Understanding structures of real-world datasets (sources, types, structure, and data quality).
Levels of Measurement: Nominal, Ordinal, Interval, Ratio
Type of Variables: Continuous, Discrete, Dependent, Independent
Types of Data Structures: Cross-sectional, Time-series, Panel
Importance of Data Cleaning & Pre-processing
Overview of Statistical Software: Setup and Interface
Importing and Viewing Datasets
Data Cleaning and Preprocessing: Handling, Missing values, Outliers, Labelling
Data transformation and normalization Techniques
Practical exercises with datasets.
Data walkthrough & result interpretation
Q & A and feedback session.

Day 2: Descriptive Statistics – Concepts and Applications

Introduction to Descriptive statistics
Univariate and Bivariate analysis: Introduction
Univariate analysis: Concepts and Applications
Measures of Central Tendency: Mean, Median, Mode
Measures of Dispersion: Range, Variance, Standard Deviation, IQR
Shape of Distribution: Skewness & Kurtosis
Data Visualization Basics: Tables, Charts, Graphs
When and Why to Use Descriptive Statistics

Computing Descriptive Statistics (Software-based)
Creating Frequency Tables, Charts (bar, pie, histogram, boxplot)
Interpretation of Output Tables (Mean, SD, Skewness)
Identifying Outliers with Boxplots
Q & A and feedback session.

Day 3: Hypothesis Testing – Concepts and Applications

Introduction to Hypothesis Testing:
Types of Hypothesis: Null vs Alternative
Types of errors: Type I & Type II Errors, Significance Level (p-value)
Types of test: Parametric Tests vs Non-Parametric Tests
Parametric Tests: Concept and Application
- One-sample t-test
- Independent t-test
- Paired t-test
- One-way ANOVA
Non-Parametric Tests: Concept and Application
- Chi-Square Test
- Mann–Whitney U Test
- Wilcoxon Signed-Rank Test
- Kruskal-Wallis test
Hands-on exercises: Software Application and Result Interpretation