ส่วนลดค่าธรมมเนียมการศึกษา ฿5,000: 18-19 กุมภาพันธ์
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Bootcamp

Data Science, Analytics and Engineering Bootcamp

100% Job Guarantee: Get a job within 6 months or receive a refund
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Bootcamp

Data Science, Analytics and Engineering Bootcamp

Qualification

2 Certificates

Duration

3-6 Months

Start date

Ongoing

Study mode

Full-time/Part-time

Location

Online

Tuition
฿38,000
10 Months
฿41,500
12 Months
Minimum Entry Standard

No Minimum Qualifications. All Levels Welcome.

Dive into the dynamic field of data with our Data Analytics, Science, and Engineering Bootcamp. Designed for aspiring data professionals and those looking to enhance their analytical skills, this program offers a comprehensive, hands-on approach to understanding and leveraging data. From foundational concepts to advanced techniques, you’ll learn to analyze, interpret, and visualize data to make informed decisions and solve real-world problems.

Through project-based learning and expert guidance, you’ll master tools like Python, SQL, and Tableau while gaining a deep understanding of data engineering pipelines and machine learning models. By the end of the bootcamp, you’ll have a robust portfolio that showcases your ability to derive insights and drive impactful outcomes with data.

What you will learn

Our carefully crafted curriculum equips you with the skills needed to excel in data analytics, science, and engineering, including:

  • Understanding and working with data pipelines and engineering processes;
  • Analyzing large datasets using Python, SQL, and advanced data visualization tools;
  • Building predictive models through machine learning techniques;
  • Gaining expertise in data cleaning, transformation, and integration for decision-making.

Join us to develop the technical skills and problem-solving mindset needed to thrive in today’s data-driven world and make meaningful contributions in any industry.

คณาจารย์

Mentor Name

Program Name

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Job Guarantee - Get a Job in 7 Months or Get a Refund

Pre Pay-Day Sale

We're dedicated to turning learning into careers. That’s why we introduced our Job Guarantee—making your learning journey risk-free. It’s simple: secure a job within 7 months of graduation, or we’ll refund your tuition.

read the terms

Teaching and Assessments

Study With Your Personal Teaching Team

Faculty Advisor

Schedule unlimited 1-on-1 lessons with industry and research experts in their field.

เมนเทอร์ทำอะไรบ้าง
ผู้เชี่ยวชาญนี้ทำงานในสาขานั้นๆ และให้คำแนะนำทางปฏิบัติที่จะช่วยให้คุณพัฒนาทักษะได้เร็วขึ้น ผ่านการสนทนาทางวิดีโอพวกเขาจะช่วยตอบคำถาม ให้คำแนะนำเกี่ยวกับโปรเจ็กต์พอร์ตการทำงาน และทุกอย่างที่คุณต้องการ
Career Advisor

Get matched with an experienced career counseling expert who will help you achieve your goals.

โค้ชด้านอาชีพทำอะไรบ้าง
ที่ปรึกษาด้านอาชีพของคุณ ช่วยคุณวางแผน ค้นหา สัมภาษณ์ และเจรจางานใหม่ของคุณ โค้ชด้านอาชีพของคุณจะสนับสนุนคุณจนกว่าคุณจะได้งานแรกของคุณ
Student Success Manager

Your success manager keeps you on track and supports every aspect of your learning.

Student Success Manager ทำอะไรบ้าง
Student Success Manager ของคุณจะสนับสนุนทุกความต้องการของคุณ ตั้งแต่การให้กำลังใจไปจนถึงการจัดการปัญหาด้านบริการ

Learning

Contents

40% Data Science

30% Data Analytics

30% Data Engineering

Learning Method

20% การเรียนแบบตัวต่อตัว

15% Office Hours

30% Video Lectures

30% Projects

Learning Timeline

Part-time

Estimated Time of Completion: 6-7 Months

Study load: 15-25 Hours/Week

Career Coaching Starts: Month 5

Full-Time

Estimated Time of Completion: 3-4 Months

Study load: 35-45 Hours/Week

Career Coaching Starts: Month 2

STRUCTURE

Pre Pay-Day Sale

Learn more about the structure of your program below.

Core Modules

In the first part of the program, you will be studying the following modules.
B. Structured Thinking

Develop structured problem-solving skills through clear frameworks and organized analysis. Learn to model solutions, make effective decisions, and communicate results professionally for real-world applications.

20 Hours
D. Database Design [Optional]

Learn relational database design, including entities, keys, normalization, and dependencies. Gain hands-on experience creating efficient structures and managing relationships for IT, data analysis, and software development.

15 Hours
E. SQL

Master SQL for managing and querying relational databases. Learn to create, update, and retrieve data, use advanced features like JOINs and indexes, and optimize database performance through hands-on projects.

30 Hours
F. Portfolio Project 1

Analyze data using Excel with Open Government Data of Thailand. Learn data preprocessing, visualization, and presentation through platforms like Coda or Notion, building professional portfolio projects for real-world application.

15 Hours
G. Data Visualization with Tableau and Power BI

Learn to create compelling visualizations using Tableau and Power BI. Master importing data, advanced analytics with DAX and calculations, and building charts, maps, and KPIs for effective data presentation.

40 Hours
H. Portfolio Project 2

Enhance data analysis skills using Power BI or Tableau with NASA datasets. Learn DAX or Tableau calculations, data modeling, and professional presentation techniques through platforms like Coda or Notion.

20 Hours
I. Python

Learn Python fundamentals, from setup and basic operations to advanced topics like loops, data structures, and object-oriented programming. Gain hands-on experience to apply Python skills in IT, data analysis, and software development.

35 Hours
N. Final Portfolio Project

Apply Python and SQL skills to analyze United Nations data. Learn to prepare datasets, perform analysis with Pandas, create visualizations, and present findings in a professional portfolio for future opportunities.

45 Hours

Data Science

ในส่วนที่สองของหลักสูตร คุณจะได้ศึกษาโมดูลต่อไปนี้
C. Exploratory Data Analysis (EDA)

Learn to inspect, clean, and visualize data to uncover insights and test hypotheses. Use Python and EDA libraries like YData Profiling, SweetViz, and Missingno for effective analysis, reinforced through real-world projects.

25 Hours
D. Machine Learning Fundamentals

เสริมสร้างพื้นฐานด้าน Machine Learning ตั้งแต่การเตรียมข้อมูลจนถึงการสร้างและประเมินโมเดลแบบมีผู้สอนและไม่มีผู้สอน ฝึกฝนผ่านไลบรารี Python และโปรเจกต์จริงเพื่อประยุกต์ใช้เทคนิค ML ได้อย่างมีประสิทธิภาพ

30 Hours
E. Sampling Strategy and Model Evaluation

Learn data sampling techniques like Stratified and Cluster sampling, and handle imbalanced datasets with methods like SMOTE. Master model evaluation metrics, including Confusion Matrix, Precision, Recall, F1-Score, ROC, and AUC, for effective data analysis.

15 Hours
F. Introduction to Classification and KNN Algorithm

Explore the basics of classification and the K-Nearest Neighbors (KNN) algorithm. Learn to implement KNN in Python, optimize parameters, and solve real-world data classification problems with confidence.

20 Hours
G. Decision Trees

Master Decision Trees for classification and regression through concepts like Entropy, Information Gain, and Pruning. Apply these techniques with real-world case studies and hands-on practice to build and evaluate effective models confidently.

20 Hours
H. Data Science Portfolio Project I

Enhance data handling expertise through EDA, sampling strategies, and applying KNN and Decision Tree algorithms. Learn to build predictive models and evaluate performance using Precision, Recall, and F1-score for professional-level projects.

25 Hours
I. Random Forests and SVM

Learn to apply Random Forests and Support Vector Machines (SVM) for data analysis. Master feature importance, parameter tuning, and performance evaluation through Python libraries, hands-on demos, and real-world projects.

15 Hours
J. Linear and Logistic Regression

Master Linear and Logistic Regression for predictive modeling and data analysis. Learn to build, interpret, and optimize models for real-world applications, including handling imbalanced data and feature selection.

20 Hours
K. Naive Bayes

Learn the principles and applications of Naive Bayes Classifier, including Multinomial Naive Bayes and Bayesian Networks. Master feature selection, parameter tuning, and handling imbalanced data for efficient real-world classification tasks.

15 Hours
L. Computer Vision

Gain foundational skills in digital image processing and analysis with tools like OpenCV and TensorFlow. Learn techniques like edge detection, object detection, and CNN-based deep learning through hands-on projects and real-world applications.

15 Hours

Data Engineering

ในส่วนที่สามของหลักสูตร คุณจะได้ศึกษาโมดูลต่อไปนี้
A. Introduction to Azure Cloud Computing

Learn the basics of Microsoft Azure, including resource management, SQL database setup, and cost optimization. Gain hands-on experience in Azure Portal and apply real-world cloud solutions with expert guidance.

15 Hours
D. Azure Data Lake

Master data management with Azure Data Lake, focusing on architecture, access control, and Active Directory integration. Learn setup, data analysis tools, and security best practices through comprehensive demos and real-world examples.

15 Hours
E. Azure NoSQL & Cosmos & Databricks

Learn the fundamentals of cloud computing with Microsoft Azure, including resource management, access control, and SQL database configuration. Gain hands-on experience in data storage, geographic replication, and cost optimization with expert guidance.

15 Hours
F. Introduction to Google Certified Professional Data Engineer

Understand the role of a Data Engineer and prepare for the Google Certified Professional Data Engineer exam. Learn to manage batch and streaming data, use GCP services, and build efficient, secure data systems with hands-on practice.

10 Hours
G. GCP Storage Product

Master GCP storage fundamentals, including storage classes, data transfer, and database concepts like scalability, availability, and durability. Learn efficient data management, OLTP vs. OLAP, and storage access setup for effective cloud solutions.

5 Hours
I. AWS Data Engineering Fundamentals

Learn data engineering essentials on AWS, covering Data Warehouses, Data Lakes, ETL pipelines, and database optimization. Gain expertise in Amazon S3 security, versioning, replication, and lifecycle management for efficient big data handling.

15 Hours

Class Schedule

Pre Pay-Day Sale

หลักสูตรส่วนใหญ่ของเรา (40 ECTS credits) เรียนแบบ Blocks ซึ่งคุณจะมุ่งเน้นเรียนวิชาเดียวในระยะเวลา 5 สัปดาห์ต่อครั้ง โดยตารางเรียนจะจัดไว้หลัง 19.00 น. ในวันธรรมดา และในช่วงวันหยุดสุดสัปดาห์ พร้อมคลาสสด 2-3 ครั้งต่อสัปดาห์ในแต่ละ Block

เพื่อเพิ่มความยืดหยุ่น วิชาพื้นฐานด้านเทคโนโลยีสองวิชา ได้แก่ Python for Business Analytics และ Data Analytics and Modelling จะจัดการเรียนแบบ asynchronous ที่ให้คุณสามารถเรียนตามจังหวะของตนเองได้

สำหรับหลักสูตร Digital Action Programme for Business Administration (30 ECTS) จะใช้เวลาเรียน 9 เดือน โดยคุณและทีมจะพบกับคณาจารย์แบบออนไลน์ทุกสองสัปดาห์

เราจะเริ่มต้นโปรแกรมด้วยงาน ต้อนรับอย่างเป็นทางการ และปิดท้ายด้วยงาน พิธีสำเร็จการศึกษา ทั้งนี้ในระหว่างโปรแกรมจะมีการจัด กิจกรรมสร้างเครือข่ายแบบพบปะด้วยตนเอง ทุกๆ 1-2 เดือน

Find more details about the teaching and learning format of your program here

Faculty

Our faculty members have years of real-world work experience in the most challenger, prestigious companies in Thailand and Beyond.

Interact with our faculty through:

1-on-1 Sessions

Office Hours

Live Classes

Offline Events

Course DirectorMarta is a Honorary Senior Clinical Lecturer and the Course Director. She is also a Consultant in Paediatric Allergy at Imperial NHS Healthcare Trust. Her research focuses on food allergy (particularly FPIES), and food immunotherapy, quality of life and improved allergy diagnostics.
LEARNING DESIGNER
Eri Sugita
Senior Software Engineer @ Credible
MENTOR
Phanuwit Kittirong
Senior Software Engineer @ BigC
MENTOR
Napasorn Lalitsasivimol
Data Engineer @ Mindshare
MENTOR
Traivith Chumpkhun
Software Engineer @ Abacus Digital
LEARNING DESIGNER
Sharon Cheng
Software Engineer @ Apple
MENTOR
Smith Tripornkanokrat
Data Scientist @ WeStride
Untitled UI logotext
MENTOR
Thanaphon Kallapapruek
Software Enigneer @ Zicure
MENTOR
Runchana Laohawiwat
Data Scientist @ Data Cafe
FACULTY
Chanintorn Chalermsuk
Head of Digital Technology and Innovation Dept. @ Southeast Asia University
MENTOR
Tutchaphol Panyim
UX/UI Designer @ Winter Egency
MENTOR
Sorawichaya Tiratrakoonwichaya
UX/UI Designer @ NDID
MENTOR
Tanatepon Kulrattanarak
Full Stack Engineer @ InnovestX
MENTOR
Pemika Cunaviriyasiri
Data Engineer @ YDM
MENTOR
Surapa Laohawiwat
UX/UI Designer @ Baksters
MENTOR
Puttawit Srianuwatphong
Business Intelligence @ Central Retail
LEARNING DESIGNER
Richard Chiang
Software Engineer II @ Oscar
FACULTY
Dr. Tanainan Tanantpapat
MDTI Program Director @ Southeast Asia University
MENTOR
Thanaphon Kallapapruek
Software Engineer @ Zipcure
MENTOR
Bandita Kulthammanon
Programmer @  Thailand Post
MENTOR
Wiwisana Chuaykoon
Business Intelligence @ Central Retail
LEARNING DESIGNER
Miki Sugita
Manager @ PwC
MENTOR
Wiwisana Chuaykoon
Business Intelligence @ Central Retail
MENTOR
Sorayuth Meeyim
Data Scientist @ CJ Express Group
MENTOR
Chonnakarn Rungjaroenporn
Data Engineer @ Adastra
MENTOR
Patsachol Tangsongsuwan
UX/UI Designer @ Central Food Retail Group (CFG)
FACULTY
Dr. Wilailuk Rakbumrung
Assistant Professor @ Southeast Asia University
MENTOR
Pakkaphong Akbhut
Application Engineer @ Hitachi eBworx
MENTOR
Nuttachai
Kulthammanit
Senior Software Engineer @ LSEG
Course DirectorMarta is a Honorary Senior Clinical Lecturer and the Course Director. She is also a Consultant in Paediatric Allergy at Imperial NHS Healthcare Trust. Her research focuses on food allergy (particularly FPIES), and food immunotherapy, quality of life and improved allergy diagnostics.

Supavich was an MBA Summer Intern - Investment Manager at AddVentures, leading investments in Climate Tech and AI startups across Southeast Asia and Australia.

Previously, as a Senior Consultant at Bluebik Group, he led projects like developing a super app with 2M+ users and an insurance platform generating $10M in 3 months. He also worked on digital lending strategies at Kasikorn Bank and advised major projects at AEC Advisory and PwC.

Pitcha is currently Portfolio Manager and Investor Relations at SeaX Ventures, overseeing a portfolio of 30+ deep-tech startups across the US, Europe, and APAC with a total AUM of $70M. Her role includes monitoring performance, supporting fundraising, and strategizing Asian market expansion.

Previously, she served as Assistant Director of Digital Asset Policy and Financial Innovation at the SEC Thailand, where she developed policies for digital token issuance, such as utility tokens and NFTs, and designed regulatory frameworks to promote blockchain adoption in fundraising and investment.

With additional experience as a consultant at IQVIA, driving market strategies for pharmaceutical products, and as an auditor at PwC, Pitcha combines expertise in investment management, market analysis, and strategic planning to support technology-driven businesses in the digital era.

Surapa is an experienced UX/UI Designer currently working at AEC Infraconnect Company Limited. She specializes in creating user interfaces that balance functionality and aesthetics, meeting user requirements effectively.

Previously, she worked at Baksters as a UX/UI Designer, where she was responsible for project planning, competitor analysis, conducting user research to identify pain points, and designing user journeys. Her role included creating low- to high-fidelity wireframes, clickable prototypes, and conducting usability testing to ensure a seamless user experience.

Surapa also contributed to Comanche Gogoji Company Limited, focusing on researching and designing wireframes for hotel software and websites. Her diverse design skills enable her to create user-centric products that deliver exceptional experiences.

Hasadin Songsee

Instructor

Graduated from Rajamangala University of Technology Thanyaburi with a Bachelor's degree in Computer Studies, Faculty of Industrial Education. He has specialized in Web Development with experience in developing websites that meet both UX/UI and full functionality.

With a commitment to the development of technology for digital education and learning, he is interested in EdTech and Web Development to create an effective and modern learning experience.

Pemika Cunaviriyasiri

Curriculum Director and Lecturer

Pemika is a skilled Data Engineer with experience in data analysis and solution development. She is currently a Data Analyst Mentor at WeStride and works as a Data Engineer at YDM Thailand.

Previously, Pemika served as a Data Scientist at the Office of Public Sector Development Commission (OPDC), specializing in data collection, cleaning, and creating analytic dashboards using tools like SQL and Python.

Chawin Asavasaetakul

CEO and President

ผู้ก่อตั้ง WeStride Institute of Technology สถาบันที่มุ่งเน้นการเรียนรู้ด้านเทคโนโลยีผ่านแนวทาง Project-Based Learning และหลักสูตรที่ตอบโจทย์ตลาดแรงงาน พัฒนาแพลตฟอร์มที่เข้าถึงง่าย และช่วยให้ผู้เรียนเติบโตในสายอาชีพดิจิทัล

ในบทบาทของ President, Administration มีหน้าที่กำหนดนโยบายทางวิชาการ การบริหารหลักสูตร รวมถึงการพัฒนาโครงสร้างพื้นฐานด้าน IT ให้สถาบันมีความทันสมัย พร้อมสร้างเครือข่ายความร่วมมือกับองค์กรระดับโลก เพื่อให้ผู้เรียนได้รับประสบการณ์ที่ดีที่สุดและมีโอกาสก้าวสู่เส้นทางอาชีพด้านเทคโนโลยีอย่างมั่นคง

Gabby Tan

Fellow

Gabby is a Private Equity Analyst at Goldman Sachs, currently working in the Corporate Private Equity team in London. She previously held the role of Private Equity Analyst Intern at the same firm, gaining expertise in private equity investments.

She also served as a UN Climate Youth Advisor, contributing to policy development on climate change. Additionally, she worked as a Sourcing Analyst Extern at Battery Ventures and as a Private Equity Summer Analyst at Accel-KKR, focusing on early- and growth-stage B2B software and technology buyouts.

Gabby is passionate about driving positive impact in both investment and sustainability through her roles in leading global organizations.

Korawan Sutum

Admissions Coordinator

Korawan is a Sales Executive and part of the Admissions Team at WeStride. She plays a key role in guiding prospective learners to select programs that align with their skill development and career goals. Her expertise in negotiation and sales helps learners gain confidence in pursuing career transformations.

Prior to joining WeStride, she held various roles in business development and educational consulting at organizations like RGF HR Agent and Schola, where she honed her skills in sales, public relations, and client relationship management.

With extensive experience in Telesales and educational consulting, Korawan has supported numerous learners in finding the right programs to achieve their learning objectives and career aspirations.

Tanatepon is a Full Stack Engineer at InnovestX, where he plays a key role in developing and maintaining financial technology systems. With expertise in both Front-end and Back-end development, he creates efficient and user-focused applications that meet business needs seamlessly.

Previously, Tanatepon worked as a Software Engineer at Refinitiv (LSEG) and as a Full Stack Developer at Coraline. His experience includes developing Front-end with React.js and Material-UI, Back-end with Node.js and Hapi.js, and managing databases using MySQL and MS SQL.

He also gained foundational skills in web development through apprenticeships at Thai Programmer Association and Software Park CodeCamp, where he honed his knowledge of HTML, CSS, JavaScript, React, Redux, and Node.js.

Pakkaphong is an Application Engineer at Hitachi eBworx, specializing in building applications using ReactJS and Spring Framework with over two years of experience in software development.

He also serves as a Web Development Mentor at WeStride, where he guides learners in mastering web technologies such as ReactJS and JavaScript. Previously, he worked as a Frontend Developer at Tech BaseCamp, focusing on modern website development.

With expertise in web and application development, Pakkaphong is dedicated to supporting learners and creating systems that align with business needs in the digital age.

Saksorn Srisak

Career Specialist

Saksorn is a Career Development Specialist at WeStride, where he has helped over 400 individuals transition into tech roles like Front-End Developer, Data Analyst, and UX/UI Designer. He specializes in resume reviews, LinkedIn optimization, and connecting learners to new job opportunities.

As a Software Tester, he has worked with AIS, True Corporation, and Smartblocktech, focusing on API testing, UAT, and tools like Jira, Postman, and DBeaver.

Saksorn combines his expertise in career development and software quality assurance to drive success for individuals and systems alike.

Asst. Prof. Dr. Nuth Otanasap is the Program Director for the MSc. in Management of Digital Technology Innovation and the Director of the Center of Educational Innovation and Technology at Southeast Asia University. With over 18 years of experience in academia, he focuses on advancing educational innovation and digital technology solutions for modern challenges.

He also serves as the Head of the Computer Engineering Department, specializing in IoT, preparing students with cutting-edge skills to thrive in the rapidly evolving tech industry.

Pornpimol is the Head of the Computer Science Department at Southeast Asia University, where she plays a vital role in curriculum development and fostering student growth in technology and computer science.

She holds a degree in Computer Science from the National Institute of Development Administration (NIDA) and a degree in Business Computer Information Systems from North Texas State University, equipping her with expertise in both technology and business applications of information systems.

With her extensive knowledge and experience, Pornpimol is dedicated to developing tech-savvy professionals ready to tackle challenges in the digital era.

Pinyada Srichot

Admissions Team

Pinyada is part of the Admissions Team and serves as a Senior Business Development Specialist at WeStride. She plays a key role in providing guidance and support to learners throughout the admissions process, ensuring they develop the skills needed to confidently transition into new career paths.

Her role also includes contributing to marketing campaigns and collaborating with the team to expand WeStride’s network, driving program enrollments that align with job market demands.

Previously, she worked in business development and marketing roles, where she honed her skills in client relationship building, negotiation, and managing complex tasks—expertise she now uses to empower learners in their career transitions.

Phanuwit is a Senior Frontend Developer at 7 Solutions Company Limited, specializing in Frontend development with technologies like Next.js and TypeScript. He has extensive experience in building modern web applications and systems.

He also serves as a Full Stack Development Instructor at WeStride, mentoring learners in Full Stack development using React.js, JavaScript, CSS, and HTML5.

Previously, he worked as a Senior Software Engineer at Big C Supercenter and a Frontend Engineer at HarmonyX Solution, with expertise in Vue.js, Nuxt.js, Tailwind CSS, and web3.js.

With skills in both development and teaching, Phanuwit is dedicated to empowering learners and delivering innovative solutions for modern businesses.

Piriya has over 20 years of experience in procurement and supply chain management, having held key positions such as Head of Procurement & Supply Chain Management at Bumrungrad International Hospital and Asset World Corporation. His responsibilities included developing procurement strategies, managing supply chains, and fostering supplier relationships.

At Western Digital, he served as Director of Materials Management, overseeing local and regional operations, cost reduction initiatives, and sustainability in supply chains. He implemented the EICC Supply Chain Compliance Initiative and led the Global Conflict Minerals Compliance Program.

Piriya also worked as Purchasing Manager at Johnson Controls, Inc., managing sourcing for automotive seating systems, negotiating with suppliers globally, and supporting sales with pricing strategies. His expertise and leadership in supply chain management have been pivotal in driving success across the organizations he has contributed to.

Chanintorn Chalermsuk is a lecturer at the Department of Computer Science, Faculty of Arts and Sciences, Southeast Asia University in Bangkok, Thailand. His interests focus on system development and the application of technology to solve real-world problems.

His published research includes "The Development of a Medication Reminder System for Elderly Users on Android Wear Devices" (2016) and "Solving Late Attendance Issues in Object-Oriented Programming Classes Using Google Classroom for Attendance Tracking" (2015). Both studies emphasize leveraging technology to improve quality of life and enhance learning efficiency.

With expertise in teaching and research focused on practical technological solutions, Chanintorn is committed to advancing learning and addressing technology challenges in the context of Thai society.

Nuttachai Kulthammanit

Software Engineering

Nuttachai is a skilled software engineer specializing in Microservices and Spring Boot, with experience working at global tech companies such as LSEG and DeftDev Tech.

He also serves as a mentor at WeStride, where he helps learners build technical skills in technologies like Node.js and HTML5, preparing them for careers in the IT industry.

With expertise in both software development and teaching, Nuttachai is dedicated to driving innovation in software engineering and empowering learners to succeed in the tech field.

Lealyn Tinoso

Program Director, Philippines

Lea is a skilled Back-end Engineer with a solid foundation in full-stack development. She currently contributes as a Back-end Engineer at WeStride and also mentors aspiring developers in the Full-stack English boot camp.

Before joining WeStride, Lea worked as a Full-stack Engineer for an Australian-based company, where she gained hands-on experience with Ruby on Rails and React.js to create efficient, scalable web applications.

Lea is passionate about mentoring and enjoys helping others develop the technical skills needed to succeed in the tech industry.

Krisda Siangchaew

Academic Council, Administration

Dr. Krisada is a senior technologist at Western Digital Thailand, pioneering the development of Slider manufacturing processes since 2001. His expertise spans magnetic recording and Heat Assisted Magnetic Recording (HAMR), with a focus on developing diamond-like thin films and anti-reflective coatings to enhance data storage technology performance.

Previously, Dr. Krisada served as a lecturer in the Department of Materials Engineering at Kasetsart University from 1998 to 2000, teaching fundamental materials science and materials characterization. He is deeply committed to advancing the boundaries of digital storage technology through rigorous material characterization and failure analysis.

Tanainan Tanantpapat

Academic Council, Administration

Dr. Tanainan is the Program Director of Innovation Management at Southeast Asia University, Bangkok. With over 20 years of experience, he has held strategic roles in communication and public relations at prominent organizations, including the Institute of Theoretical Research under the Royal Initiative and the Thailand Convention and Exhibition Bureau (TCEB).

He earned his Ph.D. from Chulalongkorn University and a Master’s degree from Assumption University, with numerous publications in technology management and social sciences.

Dr. Tanainan is committed to advancing education and community development through his professional and academic work, aiming to create positive impacts in both societal and organizational contexts.

Phaphontee is a Data Analytics Mentor at WeStride, where he teaches and mentors students in mathematics courses related to Data Science and Computer Science, helping them prepare for careers in data analytics and technology.

He also works as a Data & AI Engineer at Fusion Solution Co., Ltd., specializing in Data Engineering and PySpark. Previously, he conducted research in Explainable Machine Learning as a Summer Research Intern at JAIST, Japan, under the Fairness, Accountability, and Transparency Machine Learning (FAccT ML) research unit.

With expertise in data analysis, teaching, and AI system development, Phaphontee is dedicated to empowering learners and building data-driven solutions to advance the tech industry.

Sorawichaya is currently a UX/UI Mentor at WeStride, guiding learners in developing UX/UI design skills and project management capabilities to prepare them for tech careers.

Previously, he worked as an IT Project Manager at Sellsuki and an Information Technology Security Analyst at NDID, gaining expertise in Agile and Waterfall project management methodologies, risk assessment, and vulnerability management.

With a strong background in UX/UI and IT project management, Sorawichaya is committed to empowering individuals and organizations to succeed in the digital era.

Patsachol Tangsongsuwan

Instructor (Asynchronous Lectures)

Patsachol is a professional UX/UI designer with over 3 years of experience in digital design. She has worked as a freelance designer and collaborated with leading organizations, including OOZOU, Central Food Retail Group, and WeStride.

Her expertise lies in user experience design, user-friendly interface creation, and experience testing, focusing on crafting digital products that meet user and business needs.

Smith is a Data Scientist with over 6 years of experience, currently working as a mentor at WeStride. He specializes in guiding learners to develop skills in data analysis and artificial intelligence.

Previously, he worked as a Sound Engineer at Iyuno and as a freelance Data Scientist at King Mongkut's Institute of Technology Ladkrabang. His expertise includes Cloud Computing, Deep Learning, and AI model development.

ปรึกษาด้านอาชีพ

แผนพัฒนาอาชีพ
ทำงานร่วมกับโค้ชอาชีพส่วนตัว เพื่อเสริมสร้างเส้นทางอาชีพของคุณอย่างมั่นใจ พร้อมพัฒนาแผนที่เหมาะกับเป้าหมายด้านอาชีพของคุณ
การสัมภาษณ์จำลอง
เตรียมตัวสำหรับการสัมภาษณ์จริงอย่างมั่นใจ พัฒนาเทคนิคและทักษะที่จะช่วยให้คุณสร้างความประทับใจและเข้าถึงงานในฝันได้อย่างมีประสิทธิภาพ
เรซูเม่และ LinkedIn
ตรวจสอบ LinkedIn และเรซูเม่ของคุณ เพื่อให้คำแนะนำและปรับปรุงให้เหมาะสมกับตลาดงาน ช่วยให้คุณเพิ่มโอกาสในการได้งานที่ต้องการ
พันธมิตรในอุตสาหกรรมกว่า 50+ แห่งของเรา
เชื่อมต่อกับบริษัทชั้นนำระดับโลกที่ต้องการรับสมัครคุณโดยตรง
‛‛
ผมเคยทำงาน Key Account แล้วรู้สึกอิ่มตัวเลยหาความท้าทายใหม่ด้วยการเรียนคอร์ส Data กับ WeStride ตอนนี้เปลี่ยนย้ายสายงานได้สำเร็จ!
Suvee Yodrack
Senior Performance Marketing Analyst
LINEMAN Wongnai
‛‛
สถาบันการศึกษาของ WeStride นั้น คือระบบการสอนที่มี Step ช่วยลำดับความคิดและเปิดโอกาสให้เขาได้ศึกษาและปฏิบัติทักษะในด้าน Data Analytics อย่างเต็มที่
Chawan Chatchatchawal
Sr. Business Partner ที่ บริษัทด้าน Stock Management & Logisticsจาก วิศวกรชีวการแพทย์ สู่

Accreditation

Graduates of our bootcamp programs do not receive an accredited degree. We recommend learners interested in pursuing a globally accredited degree to consider enrolling in our Master's Degree program.

WeStride Institute of Technology's graduate degrees are currently recognized in both Europe, United States, Canada and more than 60 countries globally. WeStride is a full member college of Woolf, offering accredited programs that adhere to European Standards and Guidelines (ESG) (Brussels 2015). Woolf is an accredited degree-granting higher education institution based in Malta with license number 2019-015.

Our graduate and undergraduate degrees are accepted in Thailand through equivalency of qualifications for foreign higher education graduates Ministry of Higher Education, Science, Research and Innovation. Likewise, the degree is also accepted by the Office of the Civil Service Commission.

Learn more about our accreditation

Learning Hubs

Learning goes beyond online—our 7 learning hubs across Thailand offer learners the opportunity to connect, explore, and grow in inspiring spaces.

South East Asia University
19/1 Phetkasem Road (near Soi Phetkasem 106), Nong Khaem District, Bangkok 10160

Phone: 02-8074500 – 27 ext. 190,192
Siam Square Branch
232/5 Siam Square Soi 2, Rama 1 Road, Pathum Wan District, Bangkok 10330

Phone: 090-970-4587
Icon Siam Branch
299 Charoen Nakhon Road, Khlong Ton Sai Subdistrict, Khlong San District, Bangkok 10600

Phone: 090-971-4415
Salaya Branch
999 Siriwattanapakdi Building, Phutthamonthon Sai 4 Road, Salaya, Phutthamonthon District, Nakhon Pathom 73170

Phone: 090-971-5283
Rangsit Branch
52/347 Village No. 7, Phikanes Student Center Building, 1st Floor, Rangsit University, Lak Hok Subdistrict, Mueang District, Pathum Thani Province 12000

Phone: 090-971-5764
Asok Branch
235/3-5 Sukhumvit Road, Khlong Toei Nuea, Watthana, Bangkok 10110

Phone: 090-969-8084
Ubon Ratchathani Branch
50 Chaeng Sanit Road, Nai Mueang Subdistrict, Mueang District, Ubon Ratchathani 34000

Phone: 090-971-6325

Tuition

Tuition
ส่วนลดค่าธรมมเนียม ฿5,000

10 Months
฿38,000
฿38,000
OR
12 Months
฿41,500
฿41,500

ผ่อนชำระด้วยบัตรเครดิต ดอกเบี้ย 0%
ส่วนลดค่าธรมมเนียม ฿5,000

10 Months
฿4,100
฿4,100
/เดือน
หรือ
12 Months
฿4,450
฿4,450
/เดือน

Additional Costs

Application Fee
฿0
Cost of Learning Materials and Supplies
฿0
See full tuition
Installment Payments
Prospective students can opt for a 0% credit card installment plan. Please note that selecting this option will increase the tuition fee by ฿3,000 - ฿5,000.

Please consult with your admissions advisor to learn more about the available credit card installment plans and how they can best suit your needs.
Payment Options
Tuition fees can be paid through direct transfer, wire transfer, or using all major credit cards. Additionally, mobile payment methods such as Alipay and ShopeePay are accepted. The tuition fee remains the same regardless of the payment option chosen.
Difference Between 10 and 12 Months

There is no difference in the program itself; the variation simply accommodates individual preferences. Some students choose the 12-month option to allow more time for studying, often due to work commitments, planned holidays, or personal schedules.

Tax Benefits
Our program is part of the STEMPlus Workforce Development Program under the Ministry of Higher Education, Science, Research and Innovation (MHESI). Certified by MHESI, it qualifies organizations (not individuals) for a 250% tax deduction on training expenses.

Frequently Asked Questions

What Career Can I Pursue After the Data Science, Analytics, and Engineering Bootcamp?

Completing a Data Science, Analytics, and Engineering Bootcamp prepares you for a variety of high-demand roles in the data-driven tech industry. Here are some career paths you can pursue:

  • Data Scientist: Analyze complex datasets to extract insights, build predictive models, and solve business problems using statistical and machine learning techniques.
  • Data Analyst: Interpret data and provide actionable insights to support decision-making through visualization and reporting.
  • Machine Learning Engineer: Design, build, and deploy machine learning models and systems for real-world applications.
  • Data Engineer: Develop and optimize data pipelines, databases, and infrastructure to handle large-scale data processing.
  • Business Intelligence (BI) Analyst: Use data tools and techniques to help organizations make strategic business decisions.
  • AI Specialist: Focus on creating intelligent systems using advanced AI methodologies and algorithms.
  • Quantitative Analyst: Apply mathematical and statistical techniques to solve financial or operational problems.
  • Big Data Engineer: Handle massive datasets using technologies like Hadoop and Spark to enable efficient analysis and processing.
  • Research Scientist: Work on advanced research projects in AI, machine learning, and data science to push the boundaries of innovation.
  • Data Product Manager: Oversee data-centric products and ensure their development aligns with business goals and user needs.

With these skills, you’ll have the opportunity to make a significant impact in industries such as finance, healthcare, e-commerce, technology, and beyond. Your bootcamp training will position you as a competitive candidate in the fast-growing field of data science and engineering.

What Language Is the Program Taught In?

This program is offered in two options: it can be taught in either Thai or English, depending on your preference.

Who Will Be My Personal Mentor?

Your personal mentor will be an experienced industry practitioner carefully selected to support your learning journey. We pair you with a mentor based on their expertise, your specific learning goals, and practical factors such as time zone compatibility. This ensures personalized guidance that aligns with your career aspirations and schedule. Our mentors bring real-world knowledge to help you succeed in your chosen field.

Can I Enroll While Working a Full-Time Job?

Yes, our programs are designed with flexibility in mind. Our bootcamps and MS in Computer Science degree allow you to set your own schedule, making it easier to balance with your work commitments. Meanwhile, our undergraduate and MBA programs focus on live classes held during evenings and weekends to accommodate full-time professionals.

How Often Is the Intake?

Bootcamps and Master’s in Computer Science: These programs offer flexible enrollment, allowing you to start at any time that suits you. There’s no fixed intake period, so you can begin your learning journey whenever you’re ready.

Master's in Business Administration Program: The intake for the MBA program is scheduled for mid-July 2025.

Undergraduate Program: The undergraduate program intake begins in August 2025.

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