One Year Certificate Couse

Online Certificate Course on Data Science, Big Data and Machine Learning (Register)

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Fee: 2,000/= per month, Admission Fee: 500/=

Instructor: Prof. Dr. Noman Islam

(BS,MS, PhD and Postdoc in Computer Science, Former Instructor PIAIC Pakistan)

Mr. Nasir Hussain (Lead AI Teacher, PIAIC)

Mr. Anees Ahmed (Lead AI Teacher, PIAIC)

Mr. Muhammad Qasim (Data Scientist, UBL)

Duration: 12 months

No. of courses: 12

Skills learned: Python, numpy, pandas, django/flask, scikit-learn, tensorflow, Hadoop, Hive, Pig, Spark, HTML/ JavaScript, jQuery, AJAX, angular, Ionic, MongoDB, SQL Server, dockers, kubernetes, AWS

Each course will complete in two months.

2+1 means 2 hours of online class and 1 hour of lab exercise at home

Fee for each month is 2000/=

Certificate will be issued at the end of completion of this course

Programming Fundamentals (2+1)

· Introduction to programming, algorithm, flow chart

· Variables, Loops, Conditional Statements

· Lists, tuples and dictionaries

· Functions and recursion

· File I/O

Outcome: Students will be able to implement fundamental programming concepts using python

Object Oriented Programming (2+1)

· Introduction to OOP

· Classes, objects

· Encapsulation

· Constructor

· Method and operator overloading

· Exception handling

· Object serialization

· Databases, SQL(DML, DDL, stored procedures, triggers, constraints)

· We will use SQL Server

· NoSQL databases

· We will use MongoDB

Outcome: Students will be able to implement fundamental OOP concepts using python, and can develop a small database application using mongodb or SQL server

Data Structures (2+1)

· Sorting algorithms

· Stacks, queues and linked list

· Hashing

· Trees/ graphs and traversal algorithms

· Complexity analysis and Big O notation

· Dynamic programming

Outcome: Students will be able to design, analyze and implement basic algorithms using python

Web Development (2+1)

· Web Programming languages (HTML/ CSS/ Java Script)

· HTTP standard

· Server side programming using (django/ flask), JINJA template engine

· Cookies/ sessions

· Responsive design

· jQuery

· AJAX

Outcome: Students will be able to develop a web-applicaton using HTML / Java Script and python platform

Mobile Application Development (2+1)

· Mobile application development platforms

· Type Script

· AngularJS

· Ionic framework

Outcome: Students will be able to develop mobile and web applications using JavaScript and angular/ ionic framework

Cloud Computing (2+1)

· Introduction to virtualization and cloud computing

· Introduction to AWS platform

· Containers

· Kubernetes

Outcome: Students would be able to setup a private cloud and deploy any application (machine learning, web application)

Mathematics for Data Science (2+1)

· Functions, continuity, composition

· Derivatives, chain rule

· Straight lines, chain rules

· Matrices, dot products, determinants

· Eigen values

Data Science (2+1)

· Scientific computing using Numpy

· Data cleaning, pre-processing and analysis using Pandas

· Data visualization using Matplotlib and Seaborn

Outcome: Students will be able to perform basic datascience tasks such as data preprocessing, cleansing and visualization using python

Artificial Intelligence(2+1)

· Search algorithms

· Adversarial search

· Reasoning and knowledge representation

· Learning

Outcome: Students will be able to develop basic AI applications and implement algorithms using python

Machine Learning (2+1)

· Introduction to machine learning: training, bias-variance trade-off, loss functions, optimization

· Supervised learning

· Regression and Classification

· Linear regression, logistic regression, decision trees, SVM, ANN

· Ensemble methods

· Unsupervised learning

Outcome: Students will be able to develop a machine learning model, test and train using scikit learn

Deep Learning (2+1)

· ANN: back propagation, gradient descent, deep neural network

· Convolutional neural network

· RNN and LSTM

· Auto-encoders

Outcome: Students will be able to develop advance deep learning applications using tensorflow

Big Data Analytics (2+1)

· Big data platforms

· ML algorithms such as classification, clustering, recommendation systems

· Introduction to Hadoop / Map Reduce

· Hive, Pig and spark

Outcome: Students will learn to implement basic map reduce applications and analyze data using hive/ pig and apache spark

Register for the course