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Top 10 Data Analytics Courses In Kuala Lumpur With Placements

Data analytics is reviewing, cleansing, manipulating, and modeling data to extract relevant information and aid decision-making. Data analytics specializations include large data analytics, business analytics, predictive analytics, healthcare data analytics, and social media analytics. A Data Analytics program teaches students about data analysis tools, programming languages, statistical methodologies, data visualization, and using analytics to address business challenges. A degree in Data Analytics necessitates mathematical aptitude, programming abilities, database knowledge, and effective interaction with complex data. Data analyst, business intelligence analyst, data scientist, data engineer, and quantitative analyst are all viable career alternatives. As businesses rely more on data-driven insights, a degree in Data Analytics opens up new options in a variety of industries. We have discussed each of these points in further detail in this article. Along with this, we have provided you with a list of the 10 best data analytics courses in Kuala Lumpur.

List of best data analytics courses in Kuala Lumpur

Let’s check out the detailed guide to data analytics courses in Kuala Lumpur.

What Is Data Analytics?

Pursuing a Data Analytics degree will teach you how to inspect, clean, transform, and model data in order to identify usable information, develop conclusions, and support decision-making. It is a field that uses technological skills and business understanding to derive valuable insights from data.

Data analytics tools and methodologies are widely employed in the commercial sector to help firms make better business decisions. Scientists and researchers employ data analytics techniques to validate or reject scientific models, theories, and hypotheses.

Data analytics is a broad phrase that encompasses a wide range of programs, from basic business intelligence (BI), reporting, and online analytical processing to many types of advanced analytics. In that regard, it is comparable to business analytics, another blanket word for data analysis methods.

The distinction is that the latter is intended for business purposes, whereas data analytics has a wider application. However, the broad interpretation of the term is not ubiquitous. In some circumstances, practitioners use data analytics expressly to indicate advanced analytics and treat business intelligence as separate.

Data Analytics Vs Data Science

Unlike data analytics, data science is not restricted to a single function or field. It is a multidisciplinary field that uses deep learning, machine learning, artificial intelligence (AI), programming, arithmetic and statistics, and scientific methods to extract information from data.

As automation advances, data scientists become more focused on corporate demands, strategic decisions, and deep learning. Data analysts working in BI will spend more time creating models and performing other mundane chores.

In general, data scientists focus their efforts on creating broad insights, whereas data analysts focus on answering individual questions. In terms of technical capabilities, future data scientists will need to understand more about the machine learning operations process, also known as machine learning operations.

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Importance Of Data Analytics

Data analytics projects can help businesses increase revenue, improve operational efficiency, optimize marketing initiatives, and boost customer satisfaction efforts across industries. It can also assist organizations with the following:

  • Personalize the consumer experience- Data analytics combines insights and actions by moving beyond standard data methodologies, allowing firms to build individualized consumer experiences and connected digital products.
  • Predict future trends- Businesses that employ predictive analysis technology can develop future-focused goods and adapt swiftly to developing market trends, giving them a competitive advantage over their competitors. According to the application, the data studied may include previous data or new information analyzed for real-time analytics. Furthermore, it may originate from both internal as well as external data sources.
  • Cut operating costs- Data analytics can help organizations cut wasteful spending while recognizing cost-saving opportunities by optimizing procedures and resource allocation.
  • Provide risk management- Data analytics enables businesses to identify and reduce risks by recognizing abnormalities, fraud, and other compliance issues.
  • Improve security- Companies use data analytics techniques including parsing, analyzing, and displaying audit logs to analyze previous security breaches and discover underlying flaws. Data analytics can also be combined with alerting and tracking systems to promptly notify security personnel in the case of a breach attempt.
  • Measure performance- Data analytics give measurements and key performance indicators (KPIs) to help firms track progress, monitor performance, and assess the success of business projects. This allows organizations to respond quickly to shifting market conditions and operational issues.

What Can You Accomplish With A Data Analytics Degree?

The data science program is a more recent undergraduate degree choice in computer science. Earning a bachelor’s degree in data science can lead to a variety of careers, including data analytics, data engineering, database administration, and others.

Data professionals operate in a variety of fields, including business, marketing, health care, transportation, and e-commerce. Indeed, the US Bureau of Labor Statistics (BLS) predicts that demand for data science will increase by 21% between 2021 and 2031.

Research from IBM demonstrates the growing demand for this kind of labor across industries.  While being a data scientist normally takes a master’s degree, there are numerous chances to pursue after graduating with a bachelor’s degree in data science or a similar discipline.

Although undergraduate degrees in data science are becoming more popular, not every college or university offers a data science major. Instead, they may provide minor or appropriate elective courses for computer science degrees that will prepare you for employment in this profitable area.

A Data Analytics education opens up a wide range of intriguing employment opportunities. A Data Analytics degree can qualify you for the following jobs:

  • Data analyst
  • Business intelligence analyst
  • Data scientist
  • Data Engineer
  • Quantitative analyst
  • Data Architect
  • Statistician
  • Machine Learning Engineer

Data science professionals are needed in almost every industry, not just technology. The five largest tech companies—Google, Amazon, Apple, Microsoft, and Facebook—employ barely one-half of one percent of the US workforce. A postgraduate degree is typically required to get into these high-paying, sought-after positions.

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List of 10 Best Data Analytics Courses in Kuala Lumpur

IIM SKILLSMYR 2846.90 + 18% TAX6 months + 2 months internship


TUNKU ABDUL RAHMAN UNIVERSITYAvailable on request1.5 years
HELP UniversityAvailable on request1 year
THE KPI INSTITUTEAvailable on request1 Year
INTI International University and Colleges


MYR 32,3102 Years



The Data Analytics Master Course is intended to help you build the skills necessary to finish the numerous course modules. Strengthening your industry-specific analytics abilities can provide you with a competitive advantage in finding attractive career prospects on the market.

IIM SKILLS offers the industry’s best data analytics courses in Kuala Lumpur. You are going to understand how to efficiently handle data analytics by utilizing cutting-edge techniques and technologies.

Participants can gain access to all resource materials, session recordings, and tool knowledge via the learning management system. The IIM SKILLS team is available 24 hours a day, seven days a week to answer your questions and concerns.

Module NameImportant Topic
Module 1: Basic and Advance Excel
Introduction to Data Handling
Data Manipulation Using Functions
Data Analysis and Reporting
Data Visualization in Excel
Overview of Dashboards
Module 2: Visual Basic Application
Introducing VBA
How VBA Works with Excel
Key Components of Programming Language
Programming Constructs in VBA
Functions & Procedures in VBA
Objects & Memory Management in VBA
Error Handling
Controlling Accessibility of Your Code
Communicating with Your Users
Module 3: SQL
Basics RDBMS Concepts
Utilizing the Object Explorer
Data Based Objects Creation (DDL Commands)
Data Manipulation (DML Commands)
Accessing Data from Multiple Tables Using SELECT
Optimizing Your Work
Module 3.1: SQL Server Reporting Services
Basics of SSRS
Creating Parameters
Understanding Visualization
Creating Visualization Using SSRS
Module 3.2: SQL Server Integration Services
Understanding Basics of SSIS
Understanding Packages
Creating Packages to Integrate
Creating Project Using SSIS
Module 4: Power BI
Data Preparation and Modeling
Data Analysis Expressions (DAX)
Reports Development (Visuals in Power BI)
Module 5: Data Analytics Using Python
Introduction to Basic Statistics
Introduction to Mathematical Foundations
Introduction to Analytics & Data Science
Python Essentials (Core)
Operations with NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python
Data Analysis Using Python
Data Visualization with Python
Statistical Methods & Hypothesis Testing
Module 6: Tableau
Getting Started
Data Handling & Summaries
Reports Development (Visuals in Tableau)
Module 7: R For Data Science
Data Importing/Exporting
Data Manipulation
Data Analysis
Using R with Databases
Data Visualization with R
Introduction to Statistics
Linear Regression: Solving Regression Problems
Module 8: Alteryx
Overview of the Alteryx Course and Fundamental Concepts
Using the Select Tool to Rename Fields, Change the Data Type
Understanding the User Environment and Alteryx Settings
Filtering Data/Data Processing
Blending/Joining Data from Different Sources
Data Cleansing
Impute Values
Random Sample

Here, you will learn from the best in the field, with a 100% emphasis on hands-on learning. They offer internships to all students after completing the course.

Attending IIM SKILLS has little, if any, prerequisites. Anyone with a strong interest in data analysis can begin from scratch and explore this exciting area.

IIM SKILLS Data Analytics training programs in Kuala Lumpur are taught by experts and are geared to the preferences and opinions of beginners, intermediates, and seniors in the area. Covering the basics, this course is ideal for anyone interested in a career in data analytics.


Phone number- +919580740740

Email id- [email protected]

Website- https://iimskills.com/

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2. The University of Malaya

The University of Malaya’s Data analytics courses teach students with degrees in both science and non-science disciplines the fundamentals of big data science and equip them with abilities in this expanding area of data analytics.

It enables students who want to advance their careers in data science to get in-depth knowledge and abilities for analyzing, visualizing, and transforming massive amounts of data from many sectors into meaningful insights.


  • Principles of Data Science
  • Data Analytics
  • Programming for Data Science
  • Data Mining
  • Machine Learning for Data Science
  • Big Data Management


Phone: +60 3-7967 3502

Website- https://www.um.edu.my

3. Tunku Abdul Rahman University

Tunku Abdul Rahman University’s Master of Data Management and Analytics program prepares students to assist organizations in harnessing their data and identifying new opportunities. This, in turn, leads to better business decisions, more efficient operations, increased earnings, and happier consumers.

Their Data Analytics courses in Kuala Lumpur help prepare learners to help companies boost revenues, optimize operational efficiency, enhance marketing campaigns and customer service endeavors, respond swiftly to emerging market trends, and gain a competitive advantage over competitors — all with the ultimate goal of improving business performance.

Tunku Abdul Rahman University is one of the data analytics institutes in Kuala Lumpur, where students will receive specialized skills to solve difficult data challenges in various commercial settings and transform raw data into useful information for enhanced decision-making.


  • Data Management for Data Analytics
  • Predictive Modeling
  • Data Visualisation Techniques
  • Business Intelligence Information Systems
  • Programming for Data Analytics
  • Big Data Technology
  • Research Methods

Contact Details

Phone: +60 3-4145 0123

Website- https://tarc.edu.my

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4. University Teknologi Mara

The University Teknologi Mara offers a three-semester data analytics training program in Kuala Lumpur that provides in-depth knowledge of data-driven science, which is an interdisciplinary field concerned with scientific methods, processes, and systems for extracting knowledge or insights from data in various forms, structured or unstructured.

Their data analytics courses in Kuala Lumpur seek to produce data professionals who are enthusiastic about extracting relevant insights from data using data science methods.

The curriculum is intended to give you strong analytical and programming abilities for using data science, from data storage and analytics to practical applications, with the goal of increasing business or organizational performance.


  • Enterprise Data Analytics
  • Advanced-Data Organization
  • Research Methodology
  • Statistical Computing
  • Statistical Data Mining
  • Advanced-Data Science Technology
  • Seminar and Industry Engagement
  • Data Visualization
  • Time-series Modelling and Forecasting
  • Applied Statistical Modelling


Tel: +603-5544 2000

Website- https://uitm.edu.my/index.php/en/

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5. Universiti Kebangsaan

Universiti Kebangsaan offers data analytics courses in Kuala Lumpur through their Data Science and Analytics degree. The course integrates mathematics and statistics expertise with programming and data analytics skills.

This data analytics training program in Kuala Lumpur provides a variety of courses, with a focus on data analytics. Candidates can tailor their learning modules to their interests and career goals by selecting from three options: Data Computing, Data analytics, and Finance & Business Analytics.

The program’s goal is to develop competent, ethical, and competitive graduates capable of contributing to their respective countries.


  • Investment Analysis and Portfolio Management
  • Issues in Risk Management and Insurance
  • Data Science
  • Machine Learning
  • Unstructured Data Analytics
  • Data Visualization and Communication
  • Business Analytics
  • Mathematical Statistics with Computing
  • Data Management
  • Multicriteria Decision Making
  • Data Mining
  • Statistical Methods for Computational Biology

Contact Details

Phone: +60 3-8921 5555



6. HELP University

The Data Analytics courses in Kuala Lumpur by HELP University seek to develop graduates who can satisfy the increasing demand for experts in data science competent in generating decisions based on extensive data.

This one of the best data analytics courses in Kuala Lumpur prepares graduates to use analytics tools for information discovery and distribution to help researchers or decision-makers achieve organizational goals.

the objective of their data analytics training program in Kuala Lumpur is to develop graduates who are able to apply quantitative modeling and data analysis approaches to solve real-world business challenges, convey findings, and effectively show outcomes utilizing data visualization techniques.
Identify and analyze ethical concerns in business, including intellectual property, data security, integrity, and privacy. Also, demonstrate knowledge of statistical data analysis methodologies for decision-making.


  • Research Methods
  • Applied Machine Learning
  • Programming for Data Science
  • Statistics for Data Science
  • Dissertation

Phone- +60 3-2716 2000

Website- https://help.edu.my


This data analytics training program in Kuala Lumpur attempts to enhance the decision-making process inside the firm by conducting rigorous data analysis, as well as to prepare executives and analysts for obtaining insights from qualitative as well as quantitative information.

Through their data analytics courses in Kuala Lumpur, participants will learn how to efficiently gather, analyze, and evaluate data for better decision-making using previous data and trend analysis.

Participants in this training will obtain academic knowledge as well as practical data management abilities. The information will help them comprehend the significance of data and the insights it provides.


The course curriculum can be requested by the university department.


T: +60 327 421357

M:+60 12 591 1366

8. INTI International University and Colleges

This Data Science (by Research) is a based on research program offered by INTI International University and Colleges that is appropriate for anyone interested in pursuing a master’s degree. Their data analytics courses in Kuala Lumpur are adaptable and welcoming to all students and employed people.

Every organization in the current climate has begun to recognize the importance that data provided when making business decisions. This data analytics training program in Kuala Lumpur is a research degree that allows students to specialize in a single topic or area of research, with a strong emphasis on self-directed work.

This program seeks to produce leaders and specialists in data science with a favorable mindset to optimize the exploitation and growth of science and technology as a means for sustainable and economic development


  • Data Science
  • Analytics
  • Information Technology
  • Computer Science
  • Computing


Phone: +60 3-2052 2888

Website- https://newinti.edu.my

9. IBM Data Science Professional Certificate

The IBM Data Science Professional Certificate is one of the greatest online data analytics courses in Kuala Lumpur. It was created by IBM specialists, the majority of whom hold Ph.D. degrees in data science.

The course has received an average student rating of 4.6/5, with over 2 lakh students enrolled thus far. IBM teachers designed the IBM Data Science Professional Certificate on Coursera. They are all PhD scholars or hold a senior data science position. They have several years of experience in data science.

The course curriculum is developed according to their experience and knowledge in the data analysis field. The course lasts 11 months if students learn for three hours per week; however, students can complete this course in one, three, or six months.

Students who choose to pursue this data analytics training program in Kuala Lumpur can do so by logging onto Coursera. And then complete the   IBM Data Science Professional Certificate for free in 7 days, but they will not receive any certification.


  • Data Science Orientation
  • Tools for Data Science
  • Data Science Methodology
  • Python for Data Science and AI
  • Databases and SQL for Data Science
  • Data Visualization with Python
  • Data Analysis with Python
  • Machine Learning with Python
  • Applied Data Science Capstone


Website- https://www.ibm.com/training/badge/data-science-professional-certificate

10. Google Data Analytics Professional Certificate

Google Data Analytics Professional Certificate is one of the best Data Analytics courses in Kuala Lumpur developed by Google Career Certificates. It is available via the Coursera platform and is 100% online.

It has an average student rating of 4.8/5 and more than INR 11.40 lakh students have enrolled so far. The price of the Google Data Analytics Professional Certificate varies according to the duration and study rate.

Students can complete this data analytics training program in Kuala Lumpur in one, three, or six months. Students who wish to earn the Google Data Analytics Professional Certificate via Coursera for free can complete the course in 7 days, but they will not receive any certification.


  • Foundations
  • Ask Questions to Make Data-Driven Decisions
  • Prepare Data for Exploration
  • Process Data
  • Analyze Data to Answer Questions
  • Share Data Through Visualization
  • Data Analysis with R Programming
  • Case Study


Website- https://grow.google/intl/en_in/data-analytics-course/

Frequently Asked Questions

Which course should I take for a job as a data analyst in Kuala Lumpur?

Complete a bachelor’s degree or certificate program in computer science, math, statistics, or another relevant discipline. You can also opt for the online data analytics courses in Kuala Lumpur.

Are data analysts highly sought after in Malaysia?

By 2020, Malaysia alone will require more than 20,000 data professionals and 2000 data scientists. In Malaysia, experienced Data Scientists or Big Data Professionals are in high demand, as are their salaries. This makes it a great time for you to enroll in one of the data analytics institutes in Kuala Lumpur.

What is the most commonly used language among data analysts?

Data analysts interface with databases using SQL (Structured Query Language), but when it comes to data cleansing, manipulation, analysis, and visualization, Python or R are the options.

Is Python essential for data analysts?

Despite the wide choice of programming languages available, the majority of data analysts prefer to use Python. While some data analysts use other programming languages like Javascript, Scala, and MATLAB, Python is still the most popular due to its flexibility, adaptability, and huge library base.

What is the duration of data analytics courses in Kuala Lumpur?

Because data analytics is in high demand in the market, many traditional educational institutions have included this subject in their course offerings to keep up with current business developments. So, there are numerous possibilities for data analytics institutes in Kuala Lumpur. The duration of data analytics courses in Kuala Lumpur varies from three months to two years.


All IT organizations today are seeking data analysts who can examine data, spot patterns, and make sound decisions in response. Data analytics tools and methodologies can be used to increase an organization’s growth and productivity beyond the IT sector. Making it a highly sought-after profession and course to study. However, finding the best data analytics institutes in Kuala Lumpur can seem daunting at first, hence this article goes into great detail about all of the various data analytics institutes in Kuala Lumpur.

One critical point to remember is that taking these courses will be impractical unless you have a genuine desire to work as a data analyst. You should be receptive to a career in data analytics. Are statistics and maths fascinating to you? If the answer is yes, mastering the art of data analytics will ensure a bright future. However, if the answer is no, there are always other options to consider. Other industries are rapidly expanding, including content writing, technical writing, digital marketing, and many more. So, we hope this article has been helpful for you to choose the best data analytics institutes in Kuala Lumpur.


I’m Bhavni. I have completed my Masters in Clinical Psychology and am an enthusiast of everything related to the human brain. I hope to disseminate information about mental health, and well-being and help destigmatize it through my writings. I find my solace amongst the pages of a book and the lines of my writing. Books help me expand my creative thoughts and writing helps me articulate those thoughts. My ambition is to write stories and craft narratives that become a source of inspiration for others.

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