Please see course contents, duration and fees for tutoring classes.
(Convenient time and hours per day, Convenient days per week.)
(Convenient time and hours per day, Convenient days per week.)
Education For Computer Science & ICT Students
Programming Languages
Courses:
- C & C++, Java, Microsoft .NET (ASP.NET, VB.NET, C#.NET), Python
- ~24 Hours, 300,000 Kyats/Language
Theoretical Subjects
Courses:
- Data Structures & Algorithms, Software Engineering, Database Management System, Introduction to Artificial Intelligence
- ~24 Hours, 300,000 Kyats/Subject
Applied Subject (Theoretical + Practical)
Course: Data Structures & Algorithms with Python
Course Outline:
• Introduction to data structures and abstract data types
• array, linked list, stacks, dictionaries, queues
• binary search trees, balanced trees: AVL trees and red-black trees
• heaps & heapsort algorithm
• basic graph algorithms, breadth-first and depth-first search
• shortest path algorithms, Dijkstra's algroithm, Bellman-Ford algorithm, Kruskal algorithm
• bubble, selection, insertion, merge : Sorting Algorithms
• quicksort, counting sort, radix sort: Algorithms
• Essential Maths
• Asymptotic Analysis & Big Oh, Omega, Theta Notations
• Many/Some/Few - Problems
Duration & Fees: ~24 Hours, 300,000 Kyats/Subject
Course Outline:
• Introduction to data structures and abstract data types
• array, linked list, stacks, dictionaries, queues
• binary search trees, balanced trees: AVL trees and red-black trees
• heaps & heapsort algorithm
• basic graph algorithms, breadth-first and depth-first search
• shortest path algorithms, Dijkstra's algroithm, Bellman-Ford algorithm, Kruskal algorithm
• bubble, selection, insertion, merge : Sorting Algorithms
• quicksort, counting sort, radix sort: Algorithms
• Essential Maths
• Asymptotic Analysis & Big Oh, Omega, Theta Notations
• Many/Some/Few - Problems
Duration & Fees: ~24 Hours, 300,000 Kyats/Subject
Education For Professionals
Machine Learning with Python
Course Contents:
- Python Basics
- Pandas DataFrame, Summary Statistics, Correlation Matrix
- What is Machine Learning?
- Supervised & Unsupervised
- Classification & Clustering
- K-Means, K-Nearest Neighbors, Principle Component Analysis (PCA)
- Basic Natural Language Processing
- ~24 Hours, 300,000 Kyats
Data Science Fundamentals
Course Contents:
- What is Data Science?
- Basics of Statistics
- Statistical Analysis Tools such as PowerBI & Excel
- Data Visualizations, Charts, Graphs
- Descriptive, Associative, Comparative and Predictive Analysis
- ~32 Hours, 400,000 Kyats
Advanced Data Science
Course Contents:
- Excel, PowerBI, SQL
- What is Microsoft Azure Machine Learning?
- Supervised and Unsupervised Learning with Python
- PCA, K-Means, K-Nearest Neighbors on Azure
- Linear Regression
- Natural Language Processing
- Web Service on Azure
- ~32 Hours, 400,000 Kyats
Microsoft Professional Program Certificate for Data Science ***
Course Subjects:
- Data Science Orientation
- Query Relational Data
- Analyze and Visualize Data
- Understand Statistics
- Explore Data with Code (Python)
- Understand Core Data Science Concepts
- Understand Machine Learning
- Use Code to Manipulate and Model Data (Python)
- Applied Data Science
- Final Project
- ~90-100 Hours, 800,000 Kyats / 9+1 Subjects
- ***Excluding exam fees to Microsoft (~ USD 1500-2000)
- ***Courses/Subjects may vary as per Microsoft.
Services for Business Executives
Analysis & Design Works For Software Systems
- Preliminary Analysis
- Cost & Benefit Analysis
- Estimation
- BRS (Business Requirement Specification)
- SRS (Software Requirement Specification)
- Detailed Design Specification (External Design/Internal Design)
- Quality Assurance
Data Science Works
- Data Cleansing, Data Manipulation, Data Mining, Data Visualization, etc
- Descriptive Analysis
- Associative Analysis
- Comparative Analysis
- Predictive Analysis