Batch-2
Professional Course in Business Analytics & Data Science with 3 months Internship
Program Overview
Total Duration: 6 Months
Training Phase
First 3 Months
Internship Phase
Last 3 Months
Training
Duration
3 Months
Live Tutorial
50+ Hours
Total Projects
5 Industry Standard
Core Topics Covered:
Excel for Business Analytics
Power BI
Tableau
SQL & Data Management
Python for Data Analytics
Advanced Statistics
Machine Learning with R
Generative AI
Internship
Duration
3 Months
R&D Tutorial
15+ Hours
Capstone Project
1 Industry Standard
Internship under CARSIT (UK) - https://carsit.bcet.uk/
Work on 1 major capstone project aligned with industry standards
Direct supervision & R&D mentorship
Research & Publication Focus:
Projects meeting Q1 or Q2 journal standards will receive funding and support from CARSIT for publication. Opportunity for international recognition and academic contribution.
Course Certification
Internationally accredited certificate from Brit College of Engineering Technology, London.
Course Instructor
Prof. Dr. Karim Mohammed Rezaul
Professor of Computing, Communication Tech & Business Information System
University of Westminster, London
PPA Business School, France
Instructor's Profile: https://softminister.com/karim.pdf
Course Fee
Standard Fee
20,000 BDT
EARLY BIRD Students
12,000 BDT
40% Exclusive Discount (limited time only)
Payment Methods:
Bkash
Bank Transfer
Visa / Mastercard
No USD/International payment required
1
Microsoft Excel
Business Analytics & Advanced Data Management
Data Entry, Validation & Cleaning Techniques
Flash Fill, Text-to-Columns & Conditional Formatting
Advanced Lookup Functions (VLOOKUP, XLOOKUP, INDEX-MATCH)
Complex Formulas & Nested Logic (IF, IFS, AND, OR)
Text, Date & Financial Functions
Dynamic Arrays & What-If Analysis
Advanced Pivot Tables & Pivot Charts
Power Query for Data Transformation
Power Pivot & Data Modeling
Dashboard Design & Reporting Automation
Introduction to DAX within Excel
2
MySQL
Database Management & SQL Mastery
Database Architecture & Schema Design
CRUD Operations (SELECT, INSERT, UPDATE, DELETE)
Advanced JOINs, UNION & Aggregations
GROUP BY, HAVING & Subqueries
String, Numeric & Date Functions
Constraints, Indexes & Views
Stored Procedures & Query Optimization
3
Power BI
Business Intelligence & Data Visualization
Data Preparation & Transformation
Data Cleaning, Filtering & Validation
Advanced Power Query Transformations
Merging, Pivoting & Custom Columns
Dashboard Design & Visualization
Interactive Charts, Graphs & Slicers
KPI Design & Business Metrics
Visual Best Practices & UX Design
Data Modeling & DAX
Data Model Optimization & Relationships
Calculated Columns, Measures & KPIs
Advanced DAX & Time Intelligence
Dynamic Reporting & Scenario Analysis
Deployment & Security
Publishing to Power BI Service
Permissions & Security Configuration
4
Tableau
Advanced Data Visualization & Storytelling
Multi-Source Data Connections
Interactive Visual Analytics
Calculated Fields & Parameters
Advanced Dashboard Customization
User Interactivity & Actions
Data Storytelling & Presentation
Responsive Design (Desktop, Tablet, Mobile)
Performance Optimization for Large Datasets
5
Python, Generative AI & Machine Learning
Data Science & AI Applications
Python for Data Analytics
Pandas for Data Manipulation
NumPy for Numerical Computing
Matplotlib & Data Visualization
Machine Learning Fundamentals
Supervised & Unsupervised Learning
Deep Learning Basics (ANN, CNN, RNN)
Building AI Applications
Generative AI & LLMs
Understanding Large Language Models
Fundamentals of AI
Applied AI
Real-World Business Applications
6
Machine Learning with R
OPTIONAL
Statistical Computing & Advanced Analytics
R Programming Fundamentals
Data Manipulation with dplyr & tidyr
Statistical Analysis & Modeling
Machine Learning Algorithms in R
Visualization with ggplot2
Predictive Modeling & Forecasting
What Our Students Say
"This course is designed in a way that provides a 360-degree learning experience — covering everything from data visualization to data analysis"
"I joined this course by edulinking through the Masterclass program & as a BBA student I can not expect that I can learn data analytics & data science topic, it exceeded my expectation."
"After doing this course I feel capable of contributing the cross-functional department of my Bank that works with Data !"
Batch 2 Schedule
Starting Date: 21st December, 2025
Class Time: 9.30 pm - 11.50 pm (Bangladeshi Time)
Class Day: Weekly 2 days (Saturday & Thursday)
Class Medium: Google Meet
Note: The date and time are tentative and may change depending on the schedule.
Course Fee
Standard Fee: 170 USD / 20,000 BDT
For EARLY BIRD Student Network: 100 USD / 12,000 BDT (40% Discount)
Payment Method (For Bangladeshi Students):
Bkash
Bank Transfer
Visa / Mastercard
Note: No USD/International payment required
Enrollment Process
1
Step 1-> Book Your Seat (No Payment Needed)
Since seats are limited and distributed on a first come, first served basis.
No payment is required at this stage.
Note: Booking your seat is completely free and secures your position in the program.
2
Step 2-> Complete Your Enrollment
After completing step 1, you will receive an email with payment instructions.
Once payment is done, submit the Post-Payment Form given in mail to finalize your registration.
Important: Check your email inbox (and spam folder) for detailed payment instructions and the completion form.
Regular Price:
৳20,000
🎉 Exclusive 40% OFF
For EARLY BIRD Student Network
৳12,000
Save ৳8,000!
Use Coupon Code
EARLY BIRD
Hands-On Learning with Industry-Standard Projects
Previous Batch Interns
Batch 2 Schedule
Starting Date: 21st December, 2025
Class Time: 9:30 PM - 11:50 PM (Bangladeshi Time)
Class Day: Weekly 2 days (Thursday & Saturday)
Platform: Google Meet
Note: Schedule is tentative and subject to adjustment based on operational requirements.
Payment Methods
Bkash
Bank Transfer
VISA/Mastercard
Enrollment Process
1
Reserve Your Seat
Book your position without payment. Seats are allocated on a first-come, first-served basis.
Note: Booking your seat is completely free and secures your position in the program.
2
Complete Enrollment
Receive payment instructions via email. Submit payment within the deadline and complete the post-payment form to finalize registration.
Important: Check your email inbox (and spam folder) for detailed payment instructions and the completion form.
