Diploma in Big Data Analytics
Program Courses

1. Big Data & Data Lakehouse with Snowflake
- Big Data concepts, Data Lakehouse vs. Data Warehouse, Snowflake architecture, schema design, data ingestion, optimization

Data Visualization & Advanced Analytics with Power BI
– Understand the Business Intelligence workflow from end-to-end
– Blend and transform raw data into beautiful interactive dashboards
– Hands-on sessions with Power BI
– Implementation of BI solutions in real-world industry use cases

3. SQL & NoSQL Data Processing in Snowflake
- SQL: Queries, JOINs, CTEs, Window Functions, Performance Tuning
NoSQL: Handling JSON, Avro, Parquet in Snowflake, VARIANT Data Type, Flattening Semi-Structured Data

4. Capstone Project & Industry Application
- End-to-end real-world project using Snowflake & Power BI, covering best practices, optimizations, and final presentations


Program Fees
Step 1: Applicant Fees is PKR 1,000/- (Final selection will be done after the interview)- Non-refundable.
Step 2: Then your interview will be scheduled.
Step 3: After selection, you can pay PKR 125,000/- OR PKR 150,000/- with 2 or 3 months installments.
Note: No refunds will be issued once the classes have commenced.
Duration
- Four Months
- Starting from May 26, 2025
- Last Date to Apply May 23, 2025
- Days & Timings 6:00 pm to 9:00 pm (Every Tuesday & Thursday)
Target Audience Criteria
Fresh Graduates, Marketing Assistants/Officers, Sales Personnel, IT Personnel, Marketing Managers interested in learning how to incorporate digital marketing and strategies into their current strategy.
Eligibility Criteria
Candidates preferably having a bachelor’s degree or currently enrolled in a bachelor’s degree program are eligible to apply.
FAQ
If a student is registered on a certain batch then he/she cannot transfer to another batch.
Trainers Profile
Dr. Imran Batada
Dr. Imran Batada has trained over 2,000 industry professionals in Data Analysis over the past few years.
Kashif Majeed
He had developed and supervised software projects of Inventory Management, Quality Control, Accounts, Payroll and Human Resource Management Systems using Visual Basic.Net, PHP, Laravel, My SQL and SQL Server for different organizations.
He had taught object-oriented programming using C++ and Java and Data Warehousing, Data Analysis, Data Visualization using Power BI, R SQL Server Analysis Services and Oracle 12c. Recently he taught Artificial Intelligence, Machine Learning using Python.
His research interest is Data science and knowledge Graphs. He did his research thesis on generation of Knowledge Graphs from teacher’s Data on Data Lake.