လက်တွေ့အသုံးချ
ကွန်ပျူတာသိပ္ပံ၊ အချက်အလက်သိပ္ပံ နှင့် သတင်းသိပ္ပံ ပညာရပ်ဆိုင်ရာသင်တန်းများ
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Programming Courses
(C&C++, Java, C#.NET, Python)
======================================= •Basic Concepts •Variables and Data Types •Control Flow (IF, Switch, Case, etc) •Loops (For, While, Do...While, etc) •Functions & Methods •Basic Algorithms (Search & Sort) •Data Structures (Stack, Queue, Linked List, Dictionary, etc) •Object Oriented Programming •GUI Programming (for C# & Java) •Problem Solving •Basic Knowledge for Software Engineering
**Prerequisite: NO
Study Plan • ~1.5-Hours-A-Day / 2-Days-a-Week • ~24 Hours Total Fees for entire course: 300,000 Kyats |
ü 09-793 693 135
ü kks@info-therapy.com
ü Address: အမှတ် (၂၁-ခ)၊ တတိယထပ် (ဝဲ)၊ ၁၆၄ လမ်း (တာမွေပလာဇာ နှင့် နောက်ကျောကပ်)၊ တာမွေမြို့နယ်။
NOTE =====
• သင်ကြားမည့် မှတ်စုများသည် MIT, Harvard, Columbia စသော အမေရိကန် တက္ကသိုလ်ကြီးများနှင့် Microsoft ၏ သင်ရိုးများကို ပေါင်းစပ်အခြေခံပြီး၊ ကွန်ပျူတာသိပ္ပံပညာရပ်ဆိုင်ရာ ပါမောက္ခများ ပညာရှင်များ ရေးသားသည့် ၂၀၁၈ ထက် နောက်မကျသော ရည်ညွှန်းစာအုပ်များကိုသာ အသုံးပြုသည်။ • ထိုက်သင့်သော ကျိုးစားအားထုတ်မှုရှိသူတိုင်း မုချတတ်မြောက်ကျွမ်းကျင်စေရမည်ဟု တာဝန်ယူ အာမခံသည်။
Instructor/Tutor
Information
======================
Experience
ü have more than 20 years of software
development experiences both in local and overseas, well familiar with
heterogeneous software systems in multi-national corporations
Education
ü Ph.D(ICT) Candidate, Asia e-University,
Malaysia : doing research on "Fast Forest Quantile Regression Model for
Software Estimation"
ü M.Sc. (Computer Science), Yangon University
ü B.Sc. (Hons.) (Business Information
Technology), University of Greenwich, UK
ü AGTI(EP), Government Technical Institute
Certification
ü Professional Program Certificate of Columbia
University: Data Science for Executives (edX and ColumbiaX, 2017)
ü Verified Certificate of Harvard University:
Using Python for Research (edX and HarvardX, 2017)
ü Charter Member of Microsoft Professional
Program for Data Science (2017)
ü Verified Certificate on Machine Learning for Data Science and
Analytics
ü Verified Certificate on Statistical Thinking for Data Science and
Analytics
ü Verified Certificate on Data Science Essentials
ü Verified Certificate on Programming with Python for Data Science
ü MCAD, MCSD, MCPD, Microsoft Certified
Professional Developer for Enterprise Application since 2006
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Data Structures and
Algorithms (with Python or Java)
======================= • 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 algorithm, 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:-) **Course contents may be changing and updated. **Prerequisite: Basic level of Programming Knowledge (with any language)
Study Plan
• ~1.5-Hours-A-Day / 2-Days-a-Week • ~24 Hours Total Fees for entire course: • 300,000 Kyats |
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Introduction to DBMS
(with MS SQL Server)
================================= •Introduction to Transact-SQL •Querying Tables with SELECT •Querying Multiple Tables with Joins •Using Set Operators •Using Functions and Aggregating Data •Using Subqueries and APPLY •Using Table Expressions •Grouping Sets and Pivoting Data •Modifying Data •Programming with Transact-SQL •Error Handling and Transactions
**Course contents may be
changing and updated.
**Prerequisite: NO
Study Plan
• ~1.5-Hours-A-Day / 2-Days-a-Week • ~24 Hours Total Fees for entire course: 300,000 Kyats |
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Introduction to Data
Warehousing (with MS SQL Server)
========================================= -What is data warehouse & difference between DB & DW -MS SQL Server & Visual Studio -How to design and implement a data warehouse -Logical & Physical Design -ETL Concept & Process -Microsoft SSDT, SSIS, SSAS, SSRS -Solving Business Problems by writing T-SQL -Essential Concepts for Data Analysis -Big Data Concept **Course contents may be changing and updated. **Prerequisite: Introduction to DBMS (with MS SQL Server)
Study Plan
• ~1.5 Hours-A-Day / 2-Days-a-Week • ~24 Hours Total Fees for entire course: 300,000 Kyats |
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Machine Learning with
Python
======================= -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
**Prerequisite:
Under-Graduate Level Knowledge
Duration & Fees: ~30 Hours, 400,000 Kyats |
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Data Science Fundamentals
====================== -What is Data Science? -Basics of Statistics -Statistical Analysis Tools such as PowerBI & Excel -Data Visualizations, Charts, Graphs -Descriptive, Associative, Comparative and Predictive Analysis
**Prerequisite:
Under-Graduate Level Knowledge & Basic Programming Knowledge with Python
Duration & Fees: ~30 Hours, 400,000 Kyats |
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Advanced Data Science
================== -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 **Prerequisite: Under-Graduate Level Knowledge, Basic Programming Knowledge with Python & Basic Data Science Duration & Fees: ~32-40 Hours, 400,000 Kyats |
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Microsoft Professional Program
Certificate for Data Science
============================================= -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 Duration & Fees: 90-100 Hours, 800,000 Kyats / 9+1 Subjects ***Excluding exam fees to Microsoft/Exam-Centre (~ USD 1500-2000) ***Courses/Subjects may vary as per Microsoft. |
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