Course overview
A structured, project-led pathway into data analysis with python.
Use practical sales, customer, inventory and operations datasets to clean, analyze and communicate information. Students learn spreadsheets, SQL, Python, Pandas, visualization and dashboard principles for defensible business decisions.
Why this course is useful
The course connects durable foundations with current professional workflows and portfolio evidence.
How you will learn
Instructor demonstrations, guided labs, individual practice, peer review and portfolio projects.
Skills and technologies
Data cleaning
Apply data cleaning in practical work.
Spreadsheet analysis
Apply spreadsheet analysis in practical work.
SQL
Apply sql in practical work.
Python
Apply python in practical work.
Pandas
Apply pandas in practical work.
Data visualization
Apply data visualization in practical work.
Exploratory analysis
Apply exploratory analysis in practical work.
Business reporting
Apply business reporting in practical work.
Dashboard design
Apply dashboard design in practical work.
What you will achieve
- Explain the field’s core concepts
- Apply tools safely and effectively
- Plan and complete practical work
- Review quality using professional criteria
- Present a portfolio-ready final project
Full course syllabus
Projects you will build
Sales analysis
Plan, create, review and present a complete sales analysis.
Customer behavior report
Plan, create, review and present a complete customer behavior report.
Inventory analysis
Plan, create, review and present a complete inventory analysis.
Business performance dashboard
Plan, create, review and present a complete business performance dashboard.
Final analysis case study
Plan, create, review and present a complete final analysis case study.
Who this is for
- Students exploring a technology career
- Beginners seeking structured practical training
- Junior practitioners strengthening foundations
- Career changers building portfolio evidence
Prerequisites
- Basic computer literacy
- A suitable laptop and internet access
- Commitment to regular guided and independent practice
Your instructor
Nisha Koirala
Data and AI Instructor
Nisha Koirala is an experienced practitioner who connects current industry delivery methods with clear, inclusive instruction.
Upcoming batches
Completion certificate
Infotraid Data Analysis with Python Completion Certificate
Awarded after meeting attendance, assessment and project requirements.
Requirements include at least 80% attendance and completion of the required projects and assessments.

