Diploma in Data Science
The Post Graduate Diploma (PGD) in Data Science at NGen IT equips professionals with critical skills in Python, machine learning, data analysis, SQL, and deep learning over six months, with flexible payment options and hands-on project experience.
Duration
6 Month
Lectures
48
Projects
4
Course Overview
The PGD in Data Science is a comprehensive program spanning two semesters and six courses. This curriculum is designed to provide participants with the necessary skills to excel in the rapidly growing field of data science. Key areas of study include Python programming, machine learning, data analysis, SQL database management, and deep learning. The program culminates in a hands-on project where participants apply their knowledge to real-world data science challenges. With flexible payment options and the opportunity to receive tuition waivers, this program is an ideal choice for professionals looking to advance their careers in data science.
Course Curriculum
- 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
- 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
- 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
- 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
- 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
- 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
Course Schedule
| Venue | Starting Date | Duration | Fees |
|---|---|---|---|
| Mohammadpur | 2024-09-01 | 6 Month | 40000 Tk |
Admission Is Going On
Enroll now to any of our Offline (On- Campus) or Online (Live Class) courses as per your suitable time.
Call This Number: 01958025050
