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 Sep 09, 2025
- Last Date to Apply Sep 02, 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 is a seasoned leader with over 24 years of experience driving organizational strategy, policy development, digital innovation, and research excellence. Currently serving as the Chief Digital Officer & Director Center of Information & Technology at IoBM, he previously held the position of CIO & Director Center for ICT at IBA Karachi.
Dr. Batada is the author of “Digital Pakistan,” a roadmap for the government, industry, and academia for digital transformation. He is a respected industry leader on the topics of digital transformation, innovation, and leadership and is frequently invited to speak at conferences and events.
Dr. Batada has provided consultancy services to private and public sector organizations, and is also a well-known educator who has taught at various prestigious universities in Pakistan.
Dr. Batada is committed to giving back to society. He founded the Sindh Research Incubation Centre (SRIC) and partnered with government and donor agencies to launch youth training programs. Under his leadership, over 10,000 students have been trained, boosting Pakistan’s freelancer economy and contributing to GDP growth.
Dr. Batada’s expertise and leadership in technology have earned him numerous accolades, including the World CIO 200 Awards (LEGEND) by the Global CIO Forum from 2020 to 2024 and the Living Legend Excellence Award by Ideal Excellence Award in 2018. He has also served on various boards, including FPCCI, P@SHA, PAFLA, ICAP-DAAB, and PIPFA.
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.
