Data Analysis for Everyone

Learn data analysis from scratch — practical, guided, and made for every experience level

years of legacy
+
lifetime trainees
ratings
Level

Beginner

Duration

1 session per week.
Basic Course: 4 Sessions
Advanced Course: 6 Sessions

Pricing

2000 2500 BDT for the Basic Course
4000 4500 BDT for the Advanced Course

Mode

Online via Google Meet

About the Course

The Data Analysis for Everyone course introduces essential statistical and data analysis techniques through practical, hands-on training in Stata. You’ll learn to turn raw research data into publication-quality analysis with confidence. No prior experience is required—making it the perfect starting point for students, researchers, and professionals seeking practical, skill-based learning.

Course Module

  • Basic Course
  • Advanced Course
Session 1

Introduction to Stata and Data Management

• Overview of STATA Console

• Importing raw data files

• Exporting data files

• Variable and data type

• Types of files, i.e., Do file, Logfile.

• Labeling data & variables

• Value labeling

• Renaming variables

• Examining the data

• Editing the data

Session 2

Data Management (continued) & Exploratory Data Analysis

• Creating and recoding variables

• Generating variables and observations

• Dropping and replacing variables

• Summary/Descriptive statistics

• Frequency Distribution

• One-way Table

• Two-Way Table (Crosstable)

• Measures of Central Tendency

• Measures of Dispersion

•Result interpretation & writing in manuscript

Session 3

Data Visualization

• Creating and describing statistical graphs & charts

• Bar diagram

• Component bar diagram

• Line diagram

• Histogram

• Scatter diagram

• Box & whisker plot

•Graph interpretation & writing in manuscript

Session 4

Recap of the Course with Problem Solving

• Recap of the course

• Problem solving

Session 1

Introduction to Stata and Data Management

• Overview of STATA Console

• Importing raw data files

• Exporting data files

• Variable and data type

• Types of files, i.e., Do file, Logfile.

• Labeling data & variables

• Value labeling

• Renaming variables

• Examining the data

• Editing the data

Session 2

Data Management (continued) & Exploratory Data Analysis

• Creating and recoding variables

• Generating variables and observations

• Dropping and replacing variables

• Summary/Descriptive statistics

• Frequency Distribution

• One-way Table

• Two-Way Table (Crosstable)

• Measures of Central Tendency

• Measures of Dispersion

•Result interpretation & writing in manuscript

Session 3

Data Visualization

• Creating and describing statistical graphs & charts

• Bar diagram

• Component bar diagram

• Line diagram

• Histogram

• Scatter diagram

• Box & whisker plot

•Graph interpretation & writing in manuscript

Session 4

Hypothesis Testing & Bivariate Analysis

• Statistical concepts behind hypothesis testing (i.e., Normal distribution, Null hypothesis, Alternative hypothesis, Test statistic, p-value)

• Parametric tests for mean comparison (i.e., One-sample t-test, Paired t-test, Independent sample t-test, Analysis of Variance)

• Parametric tests for proportions (i.e., One-sample test of proportion, Two-sample test of proportion)

• Correlation analysis(i.e., Pearson’s Correlation Coefficient)

• Categorical data tests(i.e., Chi-square test, Fisher’s exact test, McNemar’s test)

• Non-parametric tests

•Result interpretation & writing in manuscript

Session 5

Statistical Modeling & Regression Analysis

• Introduction to statistical modeling and regression analysis

• Simple linear regression analysis

•Multiple regression analysis

•Logistic regression analysis

• Result interpretation & writing in manuscript

Session 6

Recap of the Course with Problem Solving

• Recap of the course

• Problem solving

Course Outcomes

Growth

Upon completion, you will strengthen your understanding of research methodology, develop critical thinking, and the confidence to plan your own research.

Certificate

You will receive a Certificate of Completion from the School of Research, demonstrating your proficiency in research methodology, manuscript writing.

CV

This certification will enhance your academic and professional profile, improving your eligibility for postgraduate studies, research positions, and academic career opportunities.

Instructor

M Azmain Iktidar

Co-founder

MBBS, MPH, MD Candidate

Testimonials

It was focused and informative!
Komolesh OpuCompany Name
Very informative. Glad to attend it.
Alvi RahmanCompany Name
Informative!
Ponmoy Sarker ShuvoCompany Name
Informative discussion. Thank you.
Satyajit BanikCompany Name
Well arranged and informative.
Md. Abu Sayed Al-AminCompany Name
Very informative.
Rupok BhaduryCompany Name
Interactive. So glad to attend.
Mithila BanikCompany Name
It was amazing. Learnt a lot
Humaira Tasnim ChowdhuryCompany Name
The session was really informative, time worthy, and focused. Looking forward to more sessions like this. Thanks!
Ajoy KhetanCompany Name
It was a good and time-worthy session. It was very informative, with no hidden commercial purpose, and very focused, and I loved it. Thanks, moderator.
Ashis TalukderCompany Name
It was an amazing session!
Urmi BiswasCompany Name
It was a very nice session. Looking forward to future updates.
Sharna SahaCompany Name
It was concise, focused, and easy to understand. Excellent session.
Tonmoy HaqCompany Name
It was Very helpful & interesting as well. Thank you.
Ankita Paul KristiCompany Name
It was tremendously helpful. Thank you for the inside-outs.
Sadia Tasnim BivaCompany Name

FAQs

Need more information regarding this training?

Message Us

When will the
next training
be launched?

To Be Announced
Scroll to Top