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Top 5 Data Analytics Courses in Thailand With Placement

With the expansion of markets and industries in Thailand, there has been an unforeseen demand for data analysts to understand the complex technical aspects of leveraging large volumes of data. As per the fact, In the 21st century, data analytics will be counted among the most trending jobs with a lucrative salary not only in Thailand but across the globe. We have designed the list of best institutes offering data analytics courses in Thailand for your convenience.

List of best data analytics courses in Thailand

Understanding Data Analytics

Data analytics means analyzing raw data to get information that would certainly assist in solving problems and decision-making that help in arriving at conclusions about information.

The data analytics process has many components that can present a variety of initiatives with the use of tools and techniques with processes of data analytics which are automated into mechanical processes and algorithms.

Data analytics techniques uncover the trends and metrics of the current situation, this larger piece of information provides an expansion process to elevate the overall efficiency of a business, boost performance, maximize profit, or make more strategically-based decisions.

It relies on a variety of mechanisms and tools including data visualization, spreadsheets, data mining programs, and open-source languages for data manipulation, and involves disciplines like Excel programming, computer programming, statistics, accounting, finance, and Mathematics.

The data analytics work on models of programming languages like Excel, Python, Scala, R, Structured Query Language (SQL), Tableau, C++, Java, etc.

These are the most vital and powerful tools typically used to create Worksheets (spreadsheets) to store and do financial analysis as well as organize data in a table format in Rows as well as Columns which assist in storing, processing, analyzing, and presenting the data most simply.

The Major features of these programming tools include Data entry, Financial Analysis, Data management, Accounting, Charting and graphing, financial analysis, Time management, Data functions, formulas, shortcuts, and anything that needs to be organized to enhance the management of a task and its functionality, it is then tested and examined again and again until the model works as intended.

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Data analytics construct many qualities in the financial sector for performing complex calculations. Data analytics has many salient tasks in the industry of finance and banking where it is used to diligence market trends and assess risk, simultaneously preventing fraud to boost performance and reduce the risk for financial institutions.

Data analytics is the center point that gives crucial information for healthcare domains such as patient outcomes and improving diagnostic techniques, crime prevention, and environmental protection. Whether it is the pharmaceutical industry or machine learning, data analytics is transforming the leading industries realm.

Types of Data Analytics

Descriptive Analytics

In descriptive analytics, Data reveals what is happening, summarising data into concise statistics and presenting them into visualizations. For example, any company or industry wants to understand the web traffic history in the previous years.

Diagnostic Analysis

It explains why certain things are happening or happened by understanding patterns in the data. For example, we want to know why a certain product on a production line has failed.

Predictive Analytics

To analyze the data around similar products in association with ongoing social trends to make predictions about demands and sales numbers. For example, a company may want to acquire the data on how many users will want to purchase a new product item.

Prescriptive Analytics

They make statements about what actions should be taken to approve or deny the transactions like taking fraud detection in a banking system. Analyzing a customer’s past behavior along with many data points around a transaction.

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Programming Languages of Data Analytics

Excel –

With the help of Excel, one can process data in Strings, Dates, or into different types of data in the Excel Cells and Save the Files for performing calculations to Developing Tools and Dashboards as well as interacting with Other Applications.

Excel helps in leveraging tools, adding data to Excel, and analyzing data to understand data to access patterns, trends, and summaries to predict the ongoing customer mindset.


It has the highest demand due to its wide range of uses. It delves into a wide range of tasks such as deep learning, artificial intelligence, machine learning, and other popular forms of technology.

Some of the popular data analytics libraries include Keras, Scikit-Learn, matplotlib, and tensorflow. Python’s work is to process crucial automation tasks, such as data collection, modeling, visualization, and analysis which are all key factors to work within big data.

JavaScript –

It is the prime programming language to learn which is commonly used for web development as it has great capability to build rich and interactive web pages to create visualizations, an excellent way to convey big data.


This is one of the top programming languages that has been used in industries for securing enterprise development and is used in performing tasks involving data analysis along with data mining and machine learning to construct advanced applications from scratch and can deliver results much quicker than other languages.

Java breaks down complicated tasks into a simple manner that involves data analysis, deep learning, natural language processing, and data mining. Most languages delete themselves upon elimination but Java is a garbage collector which makes it far more efficient.

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R Language –

It is quickly rising in demand due to its ease in learning language that provides an optimum background for statistical computing and graphics making it the most popular programming language for data science. R is an impressive scripting language because R can handle large and complex data sets and is significantly used when performing statistical operations.

C/C++ –

C/C++ are useful programming tools for data science, due to their ability to compile data quickly over a gigabyte within a short period. This allows programmers and developers to dive deep into the application to have a much broader command of the applications. It is mostly used for projects with massive scalability and performance requirements.


SQL is used in handling structured data. It provides programmers access to data and statistics which makes it an impactful resource for data science. Another key feature of SQL is its use as a database language, anyone dealing with larger data will need to have a sound knowledge of SQL to resolve query databases.

SQL is a non-procedural language used for relational databases, which means there is no need for the use of traditional programming logic. This quality makes SQL much easier as one doesn’t have to be an expert coder.

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Top 5 Data Analytics Courses in Thailand With Placements



IIM SKILLS is one of the best institutes offering cohesive Data Analytics Courses in Thailand. They have designed the exclusive road map of this demanding program which helps the learner to dive deep into this field of concentration and construct the required industry-relevant skills to help them achieve excellence over other competitors.

The expert faculty members of IIM SKILLS prepare learners to facilitate business analytical tasks such as cleansing, pulling, manipulating, and analyzing data.

Moreover, to get a crucial understanding of statistical analysis which further enhances the business decision-making processes. This course is well designed as per the level of both freshers as well as professionals.

The requisite skills learners will be equipped with after the IIM SKILLS training process are statistical concepts, Excel at SQL concepts like SQL, mastery of  Python concepts, acquiring competence in knowledge of K means, DBSCAN, and Tableau model, etc.

If any aspirant wants to obtain valuable insight into a data analyst’s work and journey as well as wants to get well-trained in the same, then Data Analytics Courses of IIM SKILLS will be the ultimate choice.

IIM SKILLS assists learners in leveraging data using the best of their abilities to bring real revolution in the business industry. They guide the learners on how to extract, refine, and turn data into useful learning outcomes.

There are no prerequisite skills required to pursue this program, an IT field background is not necessary to join this course, and a graduate degree is enough to enroll in Data Analytics Courses in Thailand.

Also Read: IIM SKILLS Data Analytics Course Review

Course Details:

Name:  Data Analytics Course

Duration: 6 Months Course/ 2 Months of Non-Paid internship

Fees: 21688.62 Thai Baht + Taxes

The Major Highlights of IIM SKILLS

  • A master certification in Data Analysis will be awarded after successful completion of the course
  • Lifetime access to the program material via the learning management system
  • Sound knowledge of statistical domains like dispersion and regression
  • Guaranteed internship
  • Job placement
  • 160 Hours of Lectures
  • 100+ Hours Practical Assignments Hands-On Tool Based Learning
  • 7+ Live Projects
  • 10+ Case Studies
  • Master 7+ Tools

Contact Information:


[email protected]

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2. ExcelR

ExcelR is one of the growing training institutes and consulting firms with its branches in countries like Houston, Texas, USA as the global headquarters. In Addition, It has opened its offices in Australia, Malaysia for the ASEAN market, Canada, the UK, and Romania which are carefully looking after Eastern Europe and South Africa.

ExcelR in collaboration with Tech Conglomerate IBM has laid the stone for Data analytics courses in Thailand to provide the possibility of upskilling the quality tech professionalism and incorporating the seed of data analytics in the freshers.

The course has been structured in a way that bridges the demand between learner and industry needs with their modern course Curriculum. They offer a blended Training Model with live online and e-learning recorded sessions to acquire the concepts of Data analytics courses in Thailand.

The course has a Data Analyst Project Life Cycle which is further divided into three phases – Data collection, Data preparation, Insight Generation, and Dashboard Building.

Moreover, Hands-on work on real-life data projects like loans of customers, analysis of Patient Data, Employee Retention, Industrial Combustion Energy, Olist store Analysis, etc will be assigned to the students.

The highlight of the course is its dedicated Faculty with Experts carrying more than 12 years of experience, practical exposure along with the theory concepts, real-life projects, and boot camps to elevate the understanding of this domain, prepare for the job and mock interview will be the add-on in this course program.

Course Duration

150+ hrs/6 Months

Core Modules Covered Under the Course

  • Excel Basic to Advance
  • MySQL
  • Tableau
  • Power BI
  • Business Statistics
  • Probabilities and Normal Distribution
  • Data Cleaning and Insight
  • Fundamentals of R
  • Joins, dplyr and ggplot2
  • Fundamentals of Python
  • Pandas, Numpy, Matplotlib, Seaborn
  • Chatgpt and AI

Other Features of ExcelR

  • Hands-on assignment
  • Lifetime eLearning Access
  • Knowledge of Database Concepts
  • Functions charts & Slicers
  • Pass to attend unlimited live online classes for 1 year
  • Steinbeis Certification

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3. Asian School of Technology Thailand

The Master/ M.Sc. in Business Analytics and Digital Transformation (M.Sc. BADT) is a program offered by the Department of the School of Management in the Asian School of Technology considered one of the most confined and innovative data analytics courses in Thailand.

They have designed this outstanding program to facilitate students with the dynamic skills and in-depth knowledge to leverage data analytics to be able to contribute to business change in the world and work as a catalyst for successful digital transformation.

They prepared AIT graduates to take on leadership roles across industries and sectors. They precisely focus more on the application and interpretation parts of data analytics courses in Thailand rather than expertise in statistics or analytics

This is a flexible program with a choice for those who want to take daytime courses on the main campus and for working aspirants who want to study at weekends (Friday afternoon-Sunday about once per month) and some evenings at the Bangkok city campus or via Zoom.

Course Duration

  • One Year- [36 Credits Masters]
  • Two Years- [48 Credits Msc]
  • Flexible-mode- [36 or 48 Credits Flexible Masters]

Course Content

  • Big Data Analytics
  • The Business of Frontier Technologies
  • Global Data Management
  • Industry 4.0
  • Digital Marketing and Consumer Behaviour
  • Communication skills
  • Change Management
  • Fin-Tech
  • Developing Leadership Skills for the Digital Workplace
  • Responsible and Sustainable Management Decision-Making
  • Change Management
  • Managerial Economics
  • Agile Thinking for Digital Transformation
  • Digital Marketing and Consumer Analytics

Employment Opportunity

After completing this program, students will be prepared for such job opportunities:

  • Digital Business Analyst
  • Digital sales manager
  • Consultant
  • Marketing, HR, finance, and other functional areas

Program Feature

  • Internships
  • Minor
  • Project
  • Exchange

Eligibility Requirements

  • Students must hold a Bachelor’s degree or its equivalent degree with a minimum 2.75 GPA out of 4.
  • English proficiency: IELTS 5; TOEFL 173; I
  • TOEFL 60; if English is not the native language.

The Core Curriculum of this Course

  • Apply big data method
  • Examine big data and handling management processes
  • Explain how datasets can provide useful business intelligence of a volume, manage, process, and analyze the data using data processing tools
  • Develop an idea about how these techniques continue to grow with new applications being developed every day
  • Types of Big Data Analytics
  • Characteristics of Big Data
  • Domain Specific Big Data
  • Analytics Flow for Big Data
  • Big Data Patterns
  • analytics architecture components and design
  • Time Analysis and Data Visualisation.
  • Approaches to ethical decision-making
  • The rise of ‘ESG’ (environmental, social, governance)
  • Decision-making mechanisms in the context of applied business ethics
  • Responsible management initiatives in business school education
  • Environmental Sustainability
  • Systems thinking and scenario planning
  • The core domains of digital transformation
  • Understanding and leveraging customer networks
  • Focusing on Platforms rather than products; Data as an asset
  • Innovating like a start-up
  • Value Proposition & Mastering Disruptive Business Models.


 4. Saint Leo University Thailand

Begin an exciting career with data analytics courses in Thailand with Saint Leo University’s online MBA program. Saint Leo’s MBA programs come with a specialization in Data Analytics that integrates core business administration concepts with advanced data science skills, making the students strongly competitive in diverse industries.

In today’s technology-driven phase of the world, data analysis and the capability to wrangle large data sets play a vital role in decision-making.

Instead of traditional MBA or MS programs in data analytics, this university offers a unique online program with a blend of business administration principles and technical data analysis. Grab the opportunity to pursue an MBA in data analytics courses in Thailand at Saint Leo University.

A data analytics-focused MBA embarks on the journey of individuals to excel in a dynamic business landscape driven by data. After completing the course, individuals will gain the necessary skills to acquire the complex technical aspects of leveraging large volumes of data.

This program equips learners with expertise in handling diverse databases, organizing and compiling data, and analyzing and examining it for valuable insights that inform strategic business decisions.

Contents of Subjects

  • Data Analytics
  • Business Intelligence
  • Statistics
  • Web Analytics
  • Strategic Management
  • Marketing
  • Professional opportunities

Why Study an Online Data Analytics Course at Saint Leo University?

  • Innovative Online Education With an extensive experience of 22 years in online education.
  • Virtual programs have been crafted according to the same quality and academic excellence as our on-campus offerings.
  • Through an interactive virtual classroom that is accessible 24/7 and 6 program start dates, students can start their learning on their terms without compromising on personal or professional commitments.


5. DataMites Global Training Institute

DataMites will be the ultimate choice for you if you want to study data analytics courses in Thailand as you will acquire the abundant knowledge and training necessary to handle cutting-edge analytics tools through their certification programs that have a curriculum well-crafted to assist learners with the best instructor team from the data industry.

They offer learning alternatives to the aspirants such as classroom training and online data analytics courses in Thailand. Their curriculum is approved by the IABAC, a framework for the European Union.

DataMites presents a four-month data analytics training program through three phases- Phase 1 will be the initial stage, during which students will be ready with the required readings, access to videos, and tools for self-study.

Phase 2 is considered the mid-level stage comprising the IABAC Data Analytics Credential, practical capstone projects, and a worldwide certificate. Phase 3 consists of Projects and internships for further upskilling for employment.

Course Duration

4 Months

The Core Syllabus of the Course

  • Data Science Foundation
  • Data Analysis Associate
  • Business Analytics Model
  • Data Reliability and Validity
  • Optimization Models
  • Predictive Analysis with Regression
  • Decision Modelling of Internet Plans
  • Version Control with GIT
  • SQL and MongoDB
  • Artificial Intelligence Foundation
  • Certified BI analytics

Course Fees

INR 60,900

Contact Information



1. Is Data Analytics in High Demand in Thailand?

Yes, in today’s technology-driven world where every single process has taken a transformation and converted into digitalization, there is a vast online process occurring that generates large amounts of data; hence data analysts are required in strong numbers in Thailand to handle and interpret this data. To acquire such skills to be competent to handle the position of a data analyst, one must join any good data analytics courses in Thailand.

2. Is coding required in data analytics courses?

No, Coding is not required in Data Analytics courses in Thailand. But a sound knowledge of Excel and Statistics will be required.

3. What is the minimum salary for a data analyst in Thailand?

According to the recent details, the minimum average salary for data analysts in Thailand will be THB 34,000 to THB 96,000.


With the demand of time and Cut-throat level of competition, to understand the trend of the market, predict the behavior of customers, and come up with innovative ideas to establish the place of a business and industry, data analytics has become a necessity. Every department of companies, including the crime department, healthcare department, finance department, IT sectors, the HR team, and many more needs data analysis. Learn the concepts of data analytics courses in Thailand from industry experts and give acceleration to the career.

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