
Training Date : | 3 – 7 October 2022
**บรรยายเป็นภาษาอังกฤษ โดยวิทยากรต่างชาติ** สอบถามข้อมูลเพิ่มเติมได้ที่ คุณกชพรรณ 02-583-9992 Ext. 81425 สำคัญ!!! กรุณารอการยืนยันเปิดการอบรมจากเจ้าหน้าที่ก่อนการชำระค่าลงทะเบียน |
Time : | 30 Hour(s) |
Days : | 5 Day(s) |
Duration : | 09:00 – 16:00 |
Fee : | 32,000 THB (Excluded Vat 7%) |
Language : | English |
Instructor : | Dr.Tarun Sukhani |
Objectives : | Certified Data Science Specialist (CDSS)
Introduction: Our lives are flooded by large amount of information, but not all of them is useful data. Therefore it is essential for us to learn how to applying data science to every aspect of our daily life from personal finances, reading, lifestyle to making business decisions. Leveraging on this data to make our life easier, or unlock new economic value for a business, is what you are going to learn in this course. This course is a hands-on guided course for you to learn the concepts, tools, and techniques that you need to begin learning data science. We will cover the key topics from data science to big data, and the processes of gathering, cleaning and handling data. This course is well balanced between theory and practical, and key concepts are taught using case studies references. Upon completion, participants will be able to perform the basic data handling tasks, collect and analyze data, and present them using industry standard tools. Upon completion of this course, you will be able to: – Identify appropriate model for different data types. |
Who Should Attend : | Who Should Attend:
The course is vendor-neutral. It is suitable for Department Head, Business Analyst, Market Analyst, Data Analyst, BI practitioner, IT Managers, Software Developer, System Analyst, Startups who are working with Data, and any Business / IT Executives who are interested in learning data science, or who want to begin their career as data scientist. Target audience: This workshop is intended for individuals who are interested in learning data science, or who want to begin their career as a data scientist. Prerequisites: All participants should have basic understanding of data, relations, and basic knowledge of mathematics. EXAMINATION: – No. of Questions: 50 Questions |
Benefits : | Participants will be equipped and ready to perform the basic data handling tasks, collect and analyze data, and present them using industry standard tools. |
Course Outline : | Day 1
Introduction to Data Science • What is Data? Data Processes • Extract, Transform and Load (ETL) Data Quality • Raw vs Tidy Data Life of a data scientist • Identify problem
Day 2 Beginning Databases • Types of Databases Structured Query Language (SQL) • Performing CRUD (Create, Retrieve, Update, Delete) Introduction to Python • Basics of Python language Lab: Exploring data using Python
Day 3 Data Gathering • Obtain data from online repositories Exploratory Data Analysis • What is EDA? Lab: Exploring data using R
Day 4 Introduction Text Mining • What is Text Mining? Supervised Learning • What is prediction?
Day 5 Presenting Data • Choosing the right visualization Data Analysis Presentation • Using Markdown language Group presentation Lab: Mini Project Big Data Landscape • What is small data? Big data Tools and Applications • Introducing Hadoop Ecosystem What’s next? • Preview of Data Science Specialist EXAMINATION: • No. of Questions: 50 Questions |
Payment Condition : | Payment can be made by:
1. Cash or Credit Card or Bank Cheque payable to “Software Park Thailand #2” (a post-dated cheque is not accepted) on the first day of the service or within the last day of the service. 2.1 Siam Commercial Bank, Chaengwattana Branch 2.2 Krungsri Bank, Chaengwattana (Software Park) Branch
Notes: – Withholding tax (3%) is exempt. |
Contact Person : | For more information, contact our course coordinator on:
Name: Ms.Kotchaphan Aokdeelert Tel: +66-2583-9992 Ext. 81425 Fax: +66-2583-2884 Email: kotchaphan.aokdeelert@nstda.or.th, ttd@swpark.or.th You are encouraged to use the course schedule as a guide to plan your training. The schedule is accessible at Training Schedule for more information. |
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