Post Graduate Diploma in Data science

START:
May 26, 2023
DURATION:
24 weeks
CREDIT:
18

INSTRUCTORS:

Md. Aksadur Rahman
Data Science & Machine Learning Trainer | Analyst | Program Manager | Project Manager | Lead Business Analyst | ERP Consultant | Supply Chain Consultant | QA Manager
Ishteaque Alam
Senior Software Engineer at Apurba Technologies Ltd.
Afzal Hossain
Assistant Professor ARMY IBA Savar,BUP
Rafiqul Islam
LEAD DATABASE ADMINISTRATOR
Mohammad Ali
Lecturer, Department of Computer Science and Engineering United International University, Dhaka, Bangladesh

Categories

6th batch admission of Post Graduate Diploma in Data Science (PGDDS) offered by

IBER, United International University & BASIS Institute of Technology & Management (BITM)

Admission is now closed for this batch

(Seats are limited)

Expected date for Class start  November 01, 2024

(Classes will be held on campus only on Friday)

Admission Requirements:

*Bachelor’s degree from any UGC-approved university or college from Any discipline (i.e. BSC, BSS, MBBS, BBA etc.)

 

Admission Required Documents:

  • 2 Passport size photographs
  • Photocopy of NID/Passport
  • Photocopy of SSC, HSC & Bachelor both Certificates & Mark sheet

 SEMESTER-1

  1. Programming on Core Python
  • An Introduction to Python & Basic Syntax
  • Language Components & Loop
  • List, Tuple, Set & Dictionary
  • Functions, Regular Expressions
  • Classes, Objects & Method
  • Inheritance, Overloading, Encapsulation
  • Modules & Packages, Database/File
  • Data Structures & Algorithms
  1. SQL Database Design and Develop
  • Introduction, RDBMS, Normalization, SQL Command, No SQL
  • Primary key & foreign key, Constraint, Select record
  • SQL Operators, Group By, SQL Joining
  • String Functions, Aggregate function. Scalar function. Date Functions, Wildcards
  • Temporary Table, Clone Table, Sub Query, Views, Trigger
  • Stored Procedures, Parameters, Output parameters, Return values, Advantage
  • Indexing, Clustered, Non Clustered, Transactions, DeadLock, Prevent Deadlock
  • SQL Injection, Prevent Injection, Cursor, Backup/Restore, Maintenance, Scheduling
  1. Data Analysis & Data Visualizations
  • Introductions & Statistics Revisited
  • Data Visualization with Python
  • Missing value handling, Data Normalization
  • Working with numerical & categorical data
  • Working with text data
  • Exploratory data analysis part 1
  • Exploratory data analysis part 2
  • Data Visualization & reporting using Power BI


SEMESTER-2

4. Machine Learning using Python

  • Introduction to Machine Learning
  • NumPy arrays, Built-in methods, Indexing, slicing, Pandas, Series, DataFrame
  • Linear Regression Theory, Algorithm, Exercise, Model
  • K Nearest Neighbors Theory, Algorithm, Exercise, Model
  • Decision Tree Theory, Algorithm, Exercise,
  • Random Forests, Splitting, Entropy, IG, Bootstrap, Bagging
  • Support Vector Machines Theory, Algorithm
  • K Means Clustering Theory, Algorithm, Exercise
  1. Deep Learning using Python
  • Introduction to Neural Networks & Neural Networks Basics
  • Perceptron & Multilayer Neural Network
  • Activation Functions, Optimization Algorithms & others
  • Regression using Deep Neural Networks
  • Classification using Deep Neural Networks
  • Convolutional Neural Network (CNN) & Case Studies
  • Sequence Models
  • Transfer Learning
  1. Data Science Project
  • Project Selection & Introduction to MLOPs
  • Tracking and model management
  • Models and data Pipelines
  • Model Deployment
  • Project update & evaluation
  • Model Monitoring
  • Best Practices
  • Project presentation & final evaluation

Degree requirements:

Students must complete the following six courses with a minimum of 2.5 CGPA.

 

After Completing This PGD You Will Be Able To:

  • Coding in Python
  • Getting data from database using SQL
  • Data analysis using Python
  • Feature Engineering
  • Machine Learning
  • Training Deep Learning Model
  • Deploy your Machine Learning Model
  • Create dashboards using BI tools like PowerBI
  • Best practices in Data-driven product development

Tuition fees Breakdown:

  • Admission Form: Tk. 500.00
  • Admission Fees: Tk. 10,000.00 (non refundable)
  • Tuition Fees: Tk. 32,400.00 for the program (Waiver applicable only on this amount)
    Total cost of the program: Tk. 42,900.00

Waiver on tuition fees:

  • 25% on tuition fees (Tk 8100/-) off for UIU graduates;
  • 25% on tuition fees (Tk 8100/-)off for a group of 3 or more employees from the same organization;
  • 25% on tuition fees (Tk 8100/-)off for the members of any registered professional bodies in Bangladesh;
  • 25% on tuition fees (Tk 8100/-)off for ICAB, ICMAB, CA students and  graduates;
  • 30% on tuition fees (Tk 9720/- )off for paying full tuition fees at the time of admission.

Note: Students will be eligible for any ONE of the above waiver options.

Course Duration: 24 Weeks

Mode of Payment:

  • Installment 1: Tk. 15,000.00 (at the time of admission)
  • Installment 2: Tk. 13,700.00 (before the final exam of Term-I)
  • Installment 3: Tk. 13,700.00 (before the final exam of Term-II)

Admission form is available in UIU permanent campus admission office.

 

Contact person:

Md. Anisur Rahman Khan
Executive, IBER,
United International University

Cell; 01770152783
Friday to Tuesday(9am- 6pm)
Email: iber@uiu.ac.bd

 

Quick Contact

IBER Office, Room-315, Level-3,

Our Websites & Social Media Pages

United International University,

United City, Madani Avenue,

Dhaka, Bangladesh

Contact Person

Md. Anisur Rahman

Executive, Institute of Business And Economic Research (IBER)

+88 01770152783

iber@uiu.ac.bd

 

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