Applied Data Analysis using Software: A Practical Approach to Analysing Real-World Datasets
Applied Data Analysis using Software: A Practical Approach to Analysing Real-World Datasets
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
The program fees:
For Indian Participants:
Students UG/PG: ₹500 INR
Research Scholars: 650 INR
Faculty Members and other professionals: 800 INR
For International Participants:
Students UG/PG: $ 6 USD
Research Scholars: $ 8 USD
Faculty Members and other professionals: $ 10 USD
International participants may pay thru PayPal. PayPal id: info@grtedu.com
Topics Coverage:
Day1: Introduction to Applied Data Analysis
Introduction to statistical and econometric methods.
Overview of quantitative methods and its applications.
Understanding structures of real-world datasets (sources, types, structure, and data quality).
Software introduction: Setup and basics
Data Cleaning and Preprocessing
Handling missing data and outliers.
Data transformation and normalization.
Practical exercises with datasets.
Q & A session
Day 2: Descriptive statistics: Concepts and Applications
Introduction to Descriptive statistics
Univariate and Bivariate analysis
Univariate analysis: Concepts and Applications
Central Tendency: Mean, Median and Mode
Measures of Dispersion: Range, Variance, Standard Deviation
Hands-on practice: Data analysis and visualization using software - Histograms, Bar Charts, and Pie Charts
Q & A session
Day 3: Hypothesis testing: Concept and Applications
Introduction to Hypothesis Testing:
Type of Hypothesis:
Types of errors:
Type of test:
Parametric: Concept and Application
t-test (one-sample, independent, paired), ANOVA.
Non-parametric tests: Concept and Application
Mann-Whitney U test, chi-square tests, Wilcoxon signed-rank test and Kruskal-Wallis test
Hands-on exercises: Software Application and Result Interpretation
Q & A and feedback session.
Day 4: Bivariate analysis: Correlations and Regression
Correlations: Concept and Applications
Type of Correlations
Pearson and Spearman Correlation Test
Regression analysis: Concept and Applications
Type of Regression: OLS, Linear, logistic, and multivariate methods.
Regression Equation of Y on X
Regression Equation of X on Y
Hands-on exercises: Software Application and Result Interpretation.
Q & A and feedback session.
Day 5: Advanced Analysis – Cross-Sectional, Time-Series, and Panel Data
Cross-Sectional Analysis
Overview of Cross-Sectional Studies
Statistical Techniques and Applications
Time-series Analysis (ARIMA, fixed/random effects models)
Basics of Time-Series Data: Trend, Seasonality, and Noise
Techniques: Moving Averages, ARIMA Models
Applications in Forecasting
Panel data Analysis
Concept of Panel Data: Cross-Sectional and Time-Series Combination
Fixed Effects and Random Effects Models
Hands-on exercises: Software Application and Result Interpretation.
Q & A and feedback session.
Valedictory Session:
Summary of Workshop Highlights
Participant Feedback and Q&A
Closing Remarks
How to Register:
To register for this training program, please fill out the registration form.
https://forms.gle/oGvEib2h4ZNcv8iq8
Contact for Queries:
To register or for any inquiry, feel free to get in touch with us via the following contact details. We are here to assist you!
Email: info@grtedu.com
Alternative Email: grtedu@outlook.com
Website: www.grtedu.com