Siam AhmedData Analyst
Overall, it helped me build a strong foundation in Power BI, SQL, and Excel. I'm confident these skills will support me in my future career as a Data Analyst.
Now at
Starting from Saturday 19 December · Every Saturday
Data AnalyticsCareer Bootcamp
Become job-ready with industry leaders from Banglalink, BRAC Bank & Field Nation.
12Weeks
12Classes
98Seats left
Enroll now →
Chosen by 5,000+ students
From ৳3,990Student price· Standard ৳4,990
Fatehin
Atiqul
Faruqui
Banglalink
BRAC Bank
Field NationLive online class with Google Meet · Every Saturday
What you get
Built to get you
job-ready.
Live classes12
Live on Google Meet with a mentor and a teaching assistant. Recordings stay available.
Portfolio6 pieces
Graded work you can show recruiters in interviews.
Assessments4
Weighted, mentor-reviewed assessments that mirror real job tasks.
Certificate+ Letter
A certificate of completion and a recommendation letter.
Mentors
Learn from people
who do the job.
Practitioners, each teaching the module they work in every day.
Module 1 · Classes 1–4
Fatehin Siddique ChowdhuryCVM and Digital Analytics Manager, Banglalink, Banglalink
Module 2 · Classes 5–8
Atiqul Islam ChowdhuryAssociate Manager, BRAC Bank PLC, BRAC Bank
Module 3 · Classes 9–12
Faruqui (S. M. Al Faruqui )Data Engineer, Field Nation
Syllabus
12 classes,
3 modules.
Every Saturday, live on Google Meet.
Module01Excel4 classes · 19 Dec – 9 Jan
Fatehin
- 19DecFoundations & Analyst Workflow2 hours · SaturdayWhat analysts do, roles and career paths · The workflow from raw data to insight to decision · Data types and sources · Tool setup check: Excel desktop, MySQL + DBeaver, Power BI Desktop
- 26DecExcel for Analysis2 hours · SaturdayClean table layout and shortcuts · IF, SUMIFS/COUNTIFS, XLOOKUP, INDEX-MATCH · Cleaning: TRIM, text-to-columns, duplicates, data validation
- 02JanSummarization & Power Query2 hours · SaturdayPivotTables and PivotCharts · Power Query to import, clean and merge files · Conditional formatting
- 09JanEDA & Excel Dashboard2 hours · SaturdaySpotting trends and outliers, and asking the business question first · Which chart for which question · Slicers and dashboard layout
Module02SQL4 classes · 16 Jan – 6 Feb
Atiqul
- 16JanRelational Databases & Core SQL2 hours · SaturdayTables, keys, schemas · SELECT, WHERE, ORDER BY, LIMIT · GROUP BY, HAVING, aggregates
- 23JanJOINs & Multi-Table Analysis2 hours · SaturdayINNER and LEFT JOIN · Join pitfalls (row duplication, NULLs) · CASE WHEN and date functions
- 30JanSubqueries, CTEs & Window Functions2 hours · SaturdaySubqueries vs CTEs · ROW_NUMBER, RANK, LAG, running totals · Recruitment-test style problems solved live
- 06FebSQL Business Insights2 hours · SaturdayKPI queries: revenue, repeat customers, monthly cohorts · Readable queries and basic optimization · Preparing SQL output for BI tools
Module03Python4 classes · 13 Feb – 6 Mar
Faruqui
- 13FebPython Foundations for Analytics2 hours · SaturdayPython basics · Variables, data types, loops and functions · Introduction to NumPy and Pandas · Importing CSV and Excel files
- 20FebData Cleaning & Manipulation2 hours · SaturdayPandas DataFrames · Handling missing values and duplicates · Filtering, sorting, grouping and merging datasets
- 27FebEDA & Data Visualization2 hours · SaturdayDescriptive statistics · Identifying trends and outliers · Matplotlib and Seaborn · Business KPI analysis
- 06MarCapstone: Business Data Analysis2 hours · SaturdayEnd-to-end analysis using Python · Cleaning and visualizing datasets · Business insights · GitHub portfolio preparation
Module01
Excel
4 classes · 19 Dec – 9 Jan
InstructorFatehin
19Dec
Foundations & Analyst Workflow
What analysts do, roles and career paths · The workflow from raw data to insight to decision · Data types and sources · Tool setup check: Excel desktop, MySQL + DBeaver, Power BI Desktop
26Dec
Excel for Analysis
Clean table layout and shortcuts · IF, SUMIFS/COUNTIFS, XLOOKUP, INDEX-MATCH · Cleaning: TRIM, text-to-columns, duplicates, data validation
02Jan
Summarization & Power Query
PivotTables and PivotCharts · Power Query to import, clean and merge files · Conditional formatting
09Jan
EDA & Excel Dashboard
Spotting trends and outliers, and asking the business question first · Which chart for which question · Slicers and dashboard layout
Module02
SQL
4 classes · 16 Jan – 6 Feb
InstructorAtiqul
16Jan
Relational Databases & Core SQL
Tables, keys, schemas · SELECT, WHERE, ORDER BY, LIMIT · GROUP BY, HAVING, aggregates
23Jan
JOINs & Multi-Table Analysis
INNER and LEFT JOIN · Join pitfalls (row duplication, NULLs) · CASE WHEN and date functions
30Jan
Subqueries, CTEs & Window Functions
Subqueries vs CTEs · ROW_NUMBER, RANK, LAG, running totals · Recruitment-test style problems solved live
06Feb
SQL Business Insights
KPI queries: revenue, repeat customers, monthly cohorts · Readable queries and basic optimization · Preparing SQL output for BI tools
Module03
Python
4 classes · 13 Feb – 6 Mar
InstructorFaruqui
13Feb
Python Foundations for Analytics
Python basics · Variables, data types, loops and functions · Introduction to NumPy and Pandas · Importing CSV and Excel files
20Feb
Data Cleaning & Manipulation
Pandas DataFrames · Handling missing values and duplicates · Filtering, sorting, grouping and merging datasets
27Feb
EDA & Data Visualization
Descriptive statistics · Identifying trends and outliers · Matplotlib and Seaborn · Business KPI analysis
06Mar
Capstone: Business Data Analysis
End-to-end analysis using Python · Cleaning and visualizing datasets · Business insights · GitHub portfolio preparation
How it works
From payment
to placement.
Everything runs on tools you'll use at work: Google Classroom for material, Google Meet for live classes.
- Step 01Secure your seat
Pay with bKash, Nagad or card. Instant confirmation by email.
- Step 02Join Google Classroom
Resources, assignments and recordings live in your cohort's classroom.
- Step 03Attend live on Google Meet
Live, interactive classes (Every Saturday) with real-time Q&A.
- Step 04Complete assessments
TAs on call. Use the AI and productivity tools you'd use on the job.
- Step 05Build a recruiter-ready CV
Field-specific CV standards, designed in Canva.
- Step 06Get a recommendation letter
Signed by your mentors, for your job applications.
- Step 07Earn your certificate
Score 80% or more to unlock your certificate of completion.
Assessments
Graded like
a real job.
4 real-work assessments add up to your final score. Reach 80% to unlock your certificate.
4 assessments · 100%
40%AssessmentAssessment
20%MidtermMidterm exam
20%FinalFinal exam
20%AttendanceClass attendance
Certificate
Unlocks at 80%
Locked
Your score80% to unlock
Your certificate stays locked until you score at least 80% across the assessments.
- Score 80% or more overall
- Attend at least 80% of classes
- Submit assessments on time
Student stories
From this bootcamp
to real careers.
Alumni outcomesOur students now work at
Tanvir AhmedJunior Data Scientist
The content was well organized and structured. It provided a clear, step by step guide to entering the field of data analysis. The assessments also helped reinforce my understanding of the concepts.
Now at
Zainab Binte SufianBI Analyst
I think the course is well structured and has vital information to have a basic to indepth understanding of it easily.
Now at
Pricing
One programme,
priced for you.
98 seats left2 of 100 taken · batch 5B13
Best valueUnder 28
Student
For students below 28
Professionals
Standard
For job-holders and people above 28
৳4,990One-time payment
Enroll as standard →Every plan includes
- 12 live classes on Google Meet
- Class recordings in Google Classroom
- 4 graded assessments
- Certificate of completion
- Recommendation letter
- Group chat with your TA
- Placement support
FAQ
Common
questions.
Still unsure? Talk to an advisor.
What is the class modality?
- Classes are live on Google Meet
- Teacher and teaching assistant stay in class
- Students can ask questions live
- A 15-minute FAQ session happens after each class
Are classes recorded if I miss one?
- Yes
- Recordings stay available for 6 months
- Access continues even after the course ends
What are the job placement opportunities?
- HDNB gives job placement support
- Top students who attend regularly and submit assessments on time can have their CVs and assessments shared with career partners
- Career partners may contact them if there is a hiring need
- There is no guaranteed job placement
How can I communicate with instructors?
- Through the live Google Meet classes
- Class sizes are kept limited for better interaction
How can I communicate with teaching assistants and classmates?
• Through a dedicated Google chat for each group
What are the prerequisites for the course?
- Only a personal computer and internet connection
- No educational background is required
Will I receive a certificate upon completion?
- Yes
- You need at least 80% attendance
- You also need to complete the final term assessment successfully
How much time do I need to invest?
- Around 2 hours/week for classes
- Around 3 to 5 more hours/week for assessments
- Total expected time: 5 to 8 hours/week
- Program length is usually about 3 months
Batch 5B13
Enroll now →Ready to start your Data Analytics career?
98 seats left · from ৳3,990 for students