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Professional Certificate Course in

Business Analytics in Malaysia

Leverage the power of business analytics to learn Business Problem Solving, Exploratory Data Analysis, and much more. Nurture yourself into a highly-skilled professional with the #1 course in Business analytics.
  • 120 Hours Classroom & Online Sessions
  • 6 Months Assignments & eLearning
  • 3 Weeks Virtual Internships
  • 100% Job Assistance
  • 100% HRD Corp Claimable!
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Academic Partners & International Accreditations
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Calendar-for-Virtual Interactive Classes

Start Date

Business Analytics

business analytics course duration

Total Duration

6 Months

business analytics course pre-requisites


  • Computer Skills
  • Basic Mathematical Concepts
  • Analytical Mindset

Business Analytics Certification Course Overview

The Business Analytics certification course in Malaysia is designed for students and professionals. This course is a blend of theory and applications of statistical tools. Become a Business Intelligence and Data Visualisation expert and surge ahead in your career. The nine-day Business Analytics certification course covers all the essential Analytical and Statistical techniques for effective business decision making. In this program, participants will learn the concepts of Database Management systems and how huge data is stored, managed, and updated in databases. In this program technical languages Python, R, R studio, and Power BI are explained with use cases. This course helps students to enable them to perform well and makes them proficient in leveraging data and to predict future events related to market trends and design models for organizations to make data-driven and effective decisions.

Business Analytics

Business Analytics is the application of statistical tools for the process of extracting, categorizing, optimizing, and analyzing data. Segregated data is used to bring meaningful business insights. The main purpose of Business Analytics is to differentiate which datasets are essential and how they could be efficiently used in escalating production and revenue.

Business Analytics Training Learning Outcomes

Many industries are adopting Business Analytics in their process to gain a competitive advantage and to be operationally efficient. By this Business Analytics certification program in Malaysia, students will learn to categorize the huge amounts of structured and unstructured data using a Database Management system. With DBMS they will learn to store and retrieve data from the database and explore the difference between SQL and NoSQL databases. Learn about the types of Business Analytics i.e Descriptive Analytics, Prescriptive Analytics, Predictive Analytics, and Diagnostic Analytics and applications of it. Students will be able to build models by using various statistical tools. Learn various components of business analytics like Data Mining, Forecasting, Text Mining, Data Aggregation, Optimization, and Data Visualization. Their applications are explained in detail with real-time projects. By the end of this course, students will be able to organize data into databases, extract the data, manipulate the data using query language SQL. They will also create business reports, dashboards, models, etc to draw valid business insights. The students will learn about R, Python, R studio, and Power BI which are very important and fundamental programming languages.

Work with various data generation sources
Gain strong conceptual knowledge of the Python Programming Language
Understanding how the database is organized and stored in the database
How to interact with the database using SQL language for our day-to-day operations
Ability to Install the databases on the servers
Perform Text Mining to generate Customer Sentiment Analysis
Understand how to use various analytics tools and techniques
Develop an understanding of descriptive and predictive analytics
Apply data-driven, Machine Learning approaches for business decisions
Build prediction models for day-to-day applicability
Perform forecasting to take proactive business decisions
Use Data Visualization concepts to represent data for easy understanding
Create business reports, dashboards, stories, maps etc. to draw meaningful business insights

Block Your Time

business analytics course

120 hours

Classroom Sessions

business analytics training

6 months

Assignments &

business analytics certification

140 hours

Live Projects

Who Should Sign Up?

  • Science, Math and Commerce graduates
  • IT professionals who want to specialise in digital tech
  • Professionals who want to move into Data Analytics
  • Professionals who want to add Data Analytics to current job skills
  • Academicians and researchers working in Data Analytics

Professional Business Analytics Course Modules

This course is designed to empower you with essential techniques, tools, and skills you will need to excel in this field. The aim of this module is to build your understanding and capabilities in designing, structuring, and analyzing data. The module on business analytics will cover Hypothesis testing, Linear regression, Black Box techniques, Data Mining and many more to demonstrate familiarity with analytical tools. Learn various Hypothesis Tests to solve business problems. Using a simple mathematical formula, the equation of a line, you can predict an outcome. Understand the art of improvising the results of Prediction Models. Understand the different regression techniques, like Logistic Regression and Poisson Regression, etc. used for discrete data.

Understand what is Data Science, Machine Learning, and Artificial Intelligence. Learn the applications and approaches to implement Analytical solutions to an organization using business data. You will learn how to implement Descriptive and Predictive Analytics as part of this module.

Inferential Statistics is the study to evaluate results for a population using a subset of data. The assumptions made for business problems are analyzed using Inferential Statistics. Learn various Hypothesis Tests to solve business problems. Using a simple mathematical formula, the equation of a line, you can predict an outcome. Understand the art of improvising the results of Prediction Models.

Line Assumptions are the prerequisite and post requisites for developing a Regression Model. As part of this module learn to deal with conditions that may arise while developing a Prediction Model. Understand the different regression techniques, like Logistic Regression and Poisson Regression, etc., used for discrete data.

Descriptive Analytics analyses historical data and can explain scenarios that happened in the past. The information generated from this preliminary analysis is subjected to Data Mining techniques to obtain the desired results. Understand the different mathematical approaches for Descriptive and Predictive Analysis as part of this Data Mining module.

Learn to predict categorical data using Classifier Techniques. In the industry, the classification techniques are predominantly used to solve prediction problems. You will learn these popular techniques and the math behind these algorithms. Learn to analyze the unstructured text data by extracting features from the data. Apply probability-based classification techniques to predict outcomes using text data.

Deep Learning techniques are based on Black Box techniques. As part of this module, you will learn the most commonly used Deep Learning Algorithms. Learn how to deal with unstructured data, the art of developing a Neural Network and the different types of Neural Networks. Support Vector Machine is a kernel-based technique to classify the non-linear data in multidimensional spaces. Understand how time-series data is different from the regular data, learn to interpret the effects of time on the data. You will learn methods used to perform forecasting on time series data.

Reporting is an essential stage of Data Analytics. You will learn the most famous business intelligence tool Tableau and its capabilities. Learn the Data Visualization rules and differentiate a good visualization from a bad visualization.

Learn to tell stories on data using graphs and plots. Learn how Tableau can be used to tell patterns and anomalies in the data. Learn the features like parameters, filters, Quick Table calculations, sets, etc., to segregate the data.

Learn how to use Calculated Fields in Tableau to customize and create new attributes. Tableau Maps feature which is a unique feature will automatically help to define stories using world maps. You will learn to add customized maps and background images for creating customized visual information. Learn to use dashboards and stories using multiple worksheets in sequence and create a story on business data.

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How We Prepare You
  • Business Analytics course in malaysia
    Additional Assignments of over 60-80 hours
  • Business Analytics course in malaysia
    Live Free Webinars
  • Business Analytics training in malaysia
    Resume and LinkedIn Review Sessions
  • Business Analytics institute in malaysia
    6 Months Access to LMS
  • Business Analytics course in malaysia
    Job Assistance in Business Analytics Fields
  • Business Analytics course in malaysia
    Complimentary Courses
  • Business Analytics course in malaysia
    Unlimited Mock Interview and Quiz Session
  • Business Analytics course in malaysia
    Hands-on Experience in a Live Project
  • Business Analytics course in malaysia
    Life Time Free Access to Industry Webinars

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Professional Business Analytics Panel of Coaches

Business Analytics trainers

Bharani Kumar Depuru

  • Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 18+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
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Business Analytics trainers

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data Visualization
  • Trained over 1,500 professional across 12 countries
  • Worked as a Data scientist for 18+ years across several industry domains
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, Python, Tableau, Cognos
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
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Business Analytics trainers

Bhargavi Kandukuri

  • Business Analytics, Quality Management, Data Visualization with Tableau, COBOL, CICS, DB2 and JCL.
  • Electronics and communications engineer with over 19+ years of industry experience
  • Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
  • Trained over 750+ professionals across the globe in three years
  • Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
Read More >
business analytics ibm certification course


Gain industry recognition for niche skills with the Professional Certification in Business Analytics. The certificate illustrates your ability to extract actionable insights from business data for improved decision - making.

**All certificate images are for illustrative purposes only. The actual certificate may be subject to change at the discretion of the Certification Body.

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Alumni Speak

Nur Fatin

"Coming from a psychology background, I was looking for a Data Science certification that can add value to my degree. The 360DigiTMG program has such depth, comprehensiveness, and thoroughness in preparing students that also looks into the applied side of Data Science."

"I'm happy to inform you that after 4 months of enrolling in a Professional Diploma in Full Stack Data Science, I have been offered a position that looks into applied aspects of Data Science and psychology."

Nur Fatin

Associate Data Scientist

Thanujah Muniandy

"360DigiTMG has an outstanding team of educators; who supported and inspired me throughout my Data Science course. Though I came from a statistical background, they've helped me master the programming skills necessary for a Data Science job. The career services team supported my job search and, I received two excellent job offers. This program pushes you to the next level. It is the most rewarding time and money investment I've made-absolutely worth it.”

Thanujah Muniandy

Ann Nee, Wong

"360DigiTMG’s Full Stack Data Science programme equips its graduates with the latest skillset and technology in becoming an industry-ready Data Scientist. Thanks to this programme, I have made a successful transition from a non-IT background into a career in Data Science and Analytics. For those who are still considering, be bold and take the first step into a domain that is filled with growth and opportunities.”

Ann Nee, Wong

Mohd Basri

"360DigiTMG is such a great place to enhance IR 4.0 related skills. The best instructor, online study platform with keen attention to all the details. As a non-IT background student, I am happy to have a helpful team to assist me through the course until I have completed it.”

Mohd Basri

Ashner Novilla

"I think the Full Stack Data Science Course overall was great. It helped me formalize and think more deeply about ways to tackle the projects from a Data Science perspective. Also, I was remarkably impressed with the instructors, specifically their ability to make complicated concepts seem very simple."

"The instructors from 360DigiTMG were great and it showed how they engaged with all the students even in a virtual setting. Additionally, all of them are willing to help students even if they are falling behind. Overall, a great class with great instructors. I will recommend this to upcoming deal professionals going forward.”

Ashner Novilla


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FAQs for Business Analytics in Malaysia

Different organisations use different terms for Data Professionals. You will sometimes find these terms being used interchangeably. Though there are no hard rules that distinguish one from another, you should get the role descriptions clarified before you join an organisation.

With growing demand, there is a scarcity of Data Science/Business Analytics professionals in the market. If you can demonstrate strong knowledge of Data Science concepts and algorithms, then there is a high chance for you to be able to make a career in this profession.


360DigiTMG provides internship opportunities through Innodatatics, our USA-based consulting partner, for deserving participants to help them gain real-life experience. This greatly helps students to bridge the gap between theory and practical.

There are plenty of jobs available for Data Professionals. Once you complete the training, assignments and the live projects, we will send your resume to the organisations with whom we have formal agreements on job placements.


We also conduct webinars to help you with your resume and job interviews. We cover all aspects of post-training activities that are required to get a successful placement.

While there are a number of roles pertaining to Data Professionals, most of the responsibilities overlap. However, the following are some basic job descriptions for each of these roles.


As a Data Analyst, you will be dealing with Data Cleansing, Exploratory Data Analysis and Data Visualisation, among other functions. The functions pertain more to the use and analysis of historical data for understanding the current state.

As a Data Scientist, you will be building algorithms to solve business problems using statistical tools such as Python, R, SAS, STATA, Matlab, Minitab, KNIME, Weka etc. A Data Scientist also performs predictive modelling to facilitate proactive decision-making.

A data engineer primarily does programming using Spark, Python, R etc. It often compliments the role of a Data Scientist.

A Data Architect has a much broader role that involves establishing the hardware and software infrastructure needed for an organisation to perform Data Analysis. They help in selecting the right Database, Servers, Network Architecture, GPUs, Cores, Memory, Hard disk etc.

After you have completed the classroom sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your Data Scientist certificate.

In this blended programme, you will be attending 120 hours of classroom sessions over 15 days on campus in Kuala Lumpur, Malaysia. After completion, you will have access to the online Learning Management System for another three months for recorded videos and assignments. The total duration of assignments to be completed online is 40-60 hours. Besides this, you will be working on a live project for a month.

If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.

We assign mentors to each student in this programme. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.

No, the cost of the certificate is included in the programme package.

Jobs in field of business analytics in malaysia

Jobs in the Field of Business Analytics in Malaysia

Business Analysts have a promising career. The job roles for Business Analyst professionals in Malaysia are Business Analyst, Senior Business Analyst, Quantitative Analyst, Market Research Analyst, Operations Business Analyst, Management Analyst, Business process engineer, and so on.

Salaries in Malaysia for business analytics

Salaries for Business Analytics In Malaysia

The Business Analyst average salary in Malaysia is RM 59,452. The salary range for entry-level is RM 14k - RM 65k for middle-level RM 44k - RM 129k and the average salary for experienced Business Analyst is RM 101,736. This varies as per the job roles.

business analytics Projects in Malaysia

Business Analytics Projects in Malaysia

In many streams like Real estate, Retail, Manufacturing, Environment monitoring, Automobiles, Life insurance, Banking, Designing forecasting tools, etc projects on Business Analytics are in the process.

Role of Open Source Tools in business analytics

Role of Open Source Tools in Analytics

Programming tools like R and Python are considered to be the most essential tools for learning Business Analytics, Data Science, Data Analytics. In this course, you will be exposed to the basics and applications of R, Python, Power BI, and R studio.

Modes of training for business analyst

Modes of Training of Business Analytics Certification Course

360DigiTMG offers students the option of both classroom and online learning. We also support e-learning as part of our curriculum. Individual attention is guaranteed to all the participants. The Business Analytics certification course in Malaysia is designed based on the requirements of students and working professionals.

Industry Application of Business analytics

Industry Applications of Business Analytics in Malaysia

Prime sectors like Education, Banking, Manufacturing, Health care, Retail, Airlines, Construction, Pharmaceutical, and Real estate will mainly depend upon Business Analytics to make data-driven decisions that generate revenue.

Companies That Trust Us

360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.


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360DigiTMG - Data Science, IR 4.0, AI, Machine Learning Training in Malaysia

Level 16, 1 Sentral, Jalan Stesen Sentral 5, Kuala Lumpur Sentral, 50470 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Business Analytics Certification Course Training in Malaysia - Business Analytics Training in Malaysia, Business Analytics Course in Malaysia, Business Analytics Certification in Malaysia, Business Analytics Institute in Malaysia.

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