Free
Excel Basics
Formulas, formatting and your first report
Free
47,022 learners enrolled
Data & Analytics Demand tier: B+
Python for Data Analysis
Clean, Analyze & Visualize Data
ByAsif Mahmud Python & Data Science Mentor · MSc, BUET
৳ 1,990
7-day money-back guarantee
About This Course
Python for Data Analysis is a complete, project-based course — Clean, Analyze & Visualize Data. It is built for learners in Bangladesh who want practical skills that translate into real income, real jobs and real opportunities, and it works just as well for learners anywhere in the world.
Across 12 modules and 60 lessons (about 15 hours), you will work through Data Foundations, Data Cleaning, Spreadsheet/Query Basics, Functions & Logic and more. Every chapter follows the same rhythm: key concepts, a hands-on step-by-step demo, applying it to your own project, and a real-world practice task.
The course is available in both Bangla and English with lifetime access, downloadable resources and a verifiable certificate on completion. You can ask mentors questions in the community at any time.
What You'll Learn
- Master data Foundations — from concept to real application
- Master data Cleaning — from concept to real application
- Master spreadsheet/Query Basics — from concept to real application
- Master functions & Logic — from concept to real application
- Master data Modeling — from concept to real application
- Master analysis Workflow — from concept to real application
- Build real projects and portfolio pieces as you learn
- Follow a clear next-step roadmap to jobs, clients or income
Requirements
- A laptop or smartphone with internet
- No prior experience needed — we start from zero
- Willingness to practise 30–45 minutes a day
Who this course is for
- Job seekers targeting analyst / MIS / reporting roles
- Business students and finance professionals
- Anyone who works with numbers every day
Course Content
12 modules · 20 chapters · 60 lessons · 15 hours total
1 Data Foundations
Chapter 1.1 Data Foundations: Concept & Why It Matters
Data Foundations — key concepts for Python for Data Analysis
Preview 20m
Hands-on: Data Foundations step-by-step
Preview 18m
Apply it to: Clean, Analyze & Visualize Data
12m
Chapter 1.2 Data Foundations: Setup / Framework
Data Foundations — key concepts for Python for Data Analysis
15m
Hands-on: Data Foundations step-by-step
9m
Apply it to: Clean, Analyze & Visualize Data
19m
2 Data Cleaning
Chapter 2.1 Data Cleaning: Setup / Framework
Data Cleaning — key concepts for Python for Data Analysis
13m
Hands-on: Data Cleaning step-by-step
19m
Apply it to: Clean, Analyze & Visualize Data
9m
Chapter 2.2 Data Cleaning: Hands-on Workflow
Data Cleaning — key concepts for Python for Data Analysis
18m
Hands-on: Data Cleaning step-by-step
16m
Apply it to: Clean, Analyze & Visualize Data
14m
3 Spreadsheet/Query Basics
Chapter 3.1 Spreadsheet/Query Basics: Hands-on Workflow
Spreadsheet/Query Basics — key concepts for Python for Data Analysis
14m
Hands-on: Spreadsheet/Query Basics step-by-step
20m
Apply it to: Clean, Analyze & Visualize Data
18m
Chapter 3.2 Spreadsheet/Query Basics: Real-World Example
Spreadsheet/Query Basics — key concepts for Python for Data Analysis
13m
Hands-on: Spreadsheet/Query Basics step-by-step
15m
Apply it to: Clean, Analyze & Visualize Data
17m
4 Functions & Logic
Chapter 4.1 Functions & Logic: Real-World Example
Functions & Logic — key concepts for Python for Data Analysis
19m
Hands-on: Functions & Logic step-by-step
13m
Apply it to: Clean, Analyze & Visualize Data
19m
Chapter 4.2 Functions & Logic: Mistakes & Troubleshooting
Functions & Logic — key concepts for Python for Data Analysis
12m
Hands-on: Functions & Logic step-by-step
18m
Apply it to: Clean, Analyze & Visualize Data
12m
5 Data Modeling
Chapter 5.1 Data Modeling: Mistakes & Troubleshooting
Data Modeling — key concepts for Python for Data Analysis
20m
Hands-on: Data Modeling step-by-step
10m
Apply it to: Clean, Analyze & Visualize Data
20m
Chapter 5.2 Data Modeling: Optimization / Advanced Practice
Data Modeling — key concepts for Python for Data Analysis
19m
Hands-on: Data Modeling step-by-step
9m
Apply it to: Clean, Analyze & Visualize Data
19m
6 Analysis Workflow
Chapter 6.1 Analysis Workflow: Optimization / Advanced Practice
Analysis Workflow — key concepts for Python for Data Analysis
17m
Hands-on: Analysis Workflow step-by-step
11m
Apply it to: Clean, Analyze & Visualize Data
17m
Chapter 6.2 Analysis Workflow: Concept & Why It Matters
Analysis Workflow — key concepts for Python for Data Analysis
14m
Hands-on: Analysis Workflow step-by-step
16m
Apply it to: Clean, Analyze & Visualize Data
18m
7 Visualization
Chapter 7.1 Visualization: Concept & Why It Matters
Visualization — key concepts for Python for Data Analysis
10m
Hands-on: Visualization step-by-step
12m
Apply it to: Clean, Analyze & Visualize Data
14m
Chapter 7.2 Visualization: Setup / Framework
Visualization — key concepts for Python for Data Analysis
13m
Hands-on: Visualization step-by-step
11m
Apply it to: Clean, Analyze & Visualize Data
17m
8 Dashboards
Chapter 8.1 Dashboards: Setup / Framework
Dashboards — key concepts for Python for Data Analysis
19m
Hands-on: Dashboards step-by-step
17m
Apply it to: Clean, Analyze & Visualize Data
19m
Chapter 8.2 Dashboards: Hands-on Workflow
Dashboards — key concepts for Python for Data Analysis
12m
Hands-on: Dashboards step-by-step
18m
Apply it to: Clean, Analyze & Visualize Data
16m
9 Business KPIs
Chapter 9.1 Business KPIs: Hands-on Workflow
Business KPIs — key concepts for Python for Data Analysis
16m
Hands-on: Business KPIs step-by-step
14m
Apply it to: Clean, Analyze & Visualize Data
12m
10 Automation/AI Assistance
Chapter 10.1 Automation/AI Assistance: Real-World Example
Automation/AI Assistance — key concepts for Python for Data Analysis
9m
Hands-on: Automation/AI Assistance step-by-step
15m
Apply it to: Clean, Analyze & Visualize Data
17m
11 Data Quality
Chapter 11.1 Data Quality: Mistakes & Troubleshooting
Data Quality — key concepts for Python for Data Analysis
18m
Hands-on: Data Quality step-by-step
20m
Apply it to: Clean, Analyze & Visualize Data
14m
12 Capstone
Chapter 12.1 Capstone: Optimization / Advanced Practice
Capstone — key concepts for Python for Data Analysis
11m
Hands-on: Capstone step-by-step
17m
Apply it to: Clean, Analyze & Visualize Data
15m
About the instructor
Asif Mahmud
Python & Data Science Mentor · MSc, BUET
4.8 Rating
7,900 students
10 Courses
Asif teaches Python, data analysis and AI-assisted coding to beginners with zero background. His learners now work at startups, banks and remote companies.
More from this instructorReviews
4.6212 Reviews
No reviews yet. Be the first to review!
Write a review
FAQs
What language is the course in?
Every lesson is available in both Bangla and English — you can switch at any time.
How long do I get access?
Lifetime. Once enrolled, you keep access forever, including future updates.
How do I pay?
bKash, Nagad, Rocket, card or bank transfer — instructions appear at checkout. The course unlocks once payment is verified.
Do I get a certificate?
Yes. Complete all lessons and download a verifiable certificate.
Related Courses
Power BI Dashboard Builder
Raw Data to Business Insights
৳ 2,990
6,257 learners enrolled
৳ 2,490
1,384 learners enrolled
৳ 1,990
Enroll & Pay