Data Analysis

Data Analysis with Python

Learn spreadsheet analysis, SQL, Python, data visualization and practical reporting.

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.

Beginner 12 weeks84 training hoursPhysical · Online · HybridEnglish with Nepali explanations where required
Data Analysis with Python course

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

Updated 7/16/2026
Module 1Data Analysis Fundamentals2 topics

Develop practical competence in data analysis fundamentals through guided examples, review and applied exercises.

1. Data Analysis Fundamentals: Core concepts and professional practice

Understand and apply data analysis fundamentals in realistic project work.

  • Explain the important concepts and their trade-offs
  • Complete a practical exercise and evaluate the result

2. Data Analysis Fundamentals: Applied workflow and review

Understand and apply data analysis fundamentals in realistic project work.

  • Explain the important concepts and their trade-offs
  • Complete a practical exercise and evaluate the result

Projects you will build

Intermediate

Sales analysis

Plan, create, review and present a complete sales analysis.

Data cleaningSpreadsheet analysisSQLPython
Intermediate

Customer behavior report

Plan, create, review and present a complete customer behavior report.

Data cleaningSpreadsheet analysisSQLPython
Intermediate

Inventory analysis

Plan, create, review and present a complete inventory analysis.

Data cleaningSpreadsheet analysisSQLPython
Intermediate

Business performance dashboard

Plan, create, review and present a complete business performance dashboard.

Data cleaningSpreadsheet analysisSQLPython
Intermediate

Final analysis case study

Plan, create, review and present a complete final analysis case study.

Data cleaningSpreadsheet analysisSQLPython

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.

PythonPandasMachine LearningResponsible AI
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Upcoming batches

Data Analysis Morning Cohort9/10/2026 · Sunday, Tuesday, Thursday · 07:0009:00
HybridChoose batch

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.

Frequently asked questions

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