Professional Certificate in Business Analytics
This course now carries Applied Business Analytics (AI-Enabled).
Turn business questions into decision-ready dashboards, with AI doing the heavy lifting.
36 hours, onsite or live online. Closed corporate groups on request from 5 participants.
Malaysia training provider: 360DigiTMG Sdn Bhd (MyCoID 1265527-M).
SUNY Potsdam certification pathway: Data Analytics.
HRD Corp claimable; we support the documentation.
- 36 programme training hours
- 60 Hours Streaming Hours & Coursework
- 30 Hours Real-Time Industry Projects
- 3 Weeks Virtual Internships
- HRD Corp claimable, we support the documentation
Academic Partners & International Accreditations
Calendar-for-Virtual Interactive Classes
Start Date
Business Analytics
Total Duration
4 Months
Prerequisites
- 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
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.
Tools Covered
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GenAI assistants and models
- ChatGPT
- Claude
- Gemini
- Llama
- Perplexity
AI-assisted and vibe coding
- GitHub Copilot
- Cursor
- Claude Code
- Replit
Agentic AI frameworks
- LangChain
- Hugging Face
- Ollama
Zero-code AI automation
- n8n
- Zapier
- Make
Deploy and MLOps
- MLflow
- Streamlit
- Docker
- Databricks
- AWS
- Google Cloud
Business Analytics Trends in Malaysia
AI and predictive analytics will be always hot in the coming years too. Predictive Analytics data can be analyzed instantly. Data modeling, Deep learning algorithms, Data mining, and Machine learning are used for statistical analysis of data and extract data which is used for business to predict the trends and give appropriate solutions. Mobile BI is used to transfer information for road warriors. The use case is the mobilization of content from basic reports to dashboards. Highly applicable to the Transportation industry.
Natural language processing will notice many advancements and many industries are going to rely on it. Cloud computing is the recent buzzword, it involves huge amounts of data from structured and unstructured data and delivers data that is manageable and resourceful. It takes data from audio files, images video files Website, server text files, documents, etc. Visual tools help to create impactful presentations through Geographical maps, pivot tables. We can also observe there would be rapid development in the Internet of Things which would be part and parcel of our lifestyle. Along with IoT, Edge computing will become popular in the coming days. Cloud Computing will also play an essential role in business. This trend can be considered as a hybrid solution for business.
How We Prepare You
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Additional Assignments of over 60-80 hours
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Live Free Webinars
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Resume and LinkedIn Review Sessions
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6 Months Access to LMS
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Complimentary Courses
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Hands-on Experience in a Live Project
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Life Time Free Access to Industry Webinars
Call us Today!
+60 19-383 1378Professional Business Analytics Panel of Coaches
Bharani Kumar Depuru
- Professional Experience: Over 18+ years in data analytics, digital transformation, and Industrial Revolution 4.0.
- Expertise: Specializes in data analytics and digital transformation.
- Corporate Clients: Worked with Deloitte, HPE, Amazon, Tech Mahindra, Cummins, Accenture, and IBM.
- Certifications: PMI-ACP, PMI-RMP, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner.
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Bhargavi Kandukuri
- Professional Experience: Over 19+ years in electronics and communications engineering.
- Expertise: Specializes in business analytics, quality management, and data visualization with Tableau.
- Experience: Worked with Infosys Technologies, iGate, Patni Global Solutions as a technology analyst.
- Certifications: Tableau Desktop 10 Qualified Associate.
Sreeja Depuru
- Professional Experience: 10 years in cloud computing and Internet of Things (IoT).
- Expertise: Specializes in data analytics, solution architecture, and IoT.
- Experience: Worked with AiSPRY and 360DigiTMG.
- Certifications: AWS Certified Solutions Architect - Associate.
Business Analytics Certificate
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.
Alumni Speak
"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."
"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.”
"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.”
"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.”
Our Alumni Work At
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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 AiSPRY, 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.
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 36 hrs 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 session, you can access recorded sessions and supplementary materials via the AiSPRY. One-on-one sessions with instructors may also be available to help you stay aligned with the curriculum and enhance your learning journey. This support ensures you make the most out of the program and stay on track with your educational goals.
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, certification costs are typically covered in the course fees for this program. This comprehensive coverage provides access to certification exams and related materials without extra charges. It enables you to concentrate on your learning and professional growth in big data analytics, knowing that all necessary certification expenses are included upfront in the program costs.
Salaries for Business Analytics 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 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 of Business Analytics Certification Course
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.
Student Voices
Sana Ahsan
5 years ago
Suriyaa Kumar
5 years agoI attended the Certification in Data Science program by 360DigiTMG. The course was amazing. I had a great learning & networking experience. Also, trainers are highly experienced and knowledgeable in the field of Data Science. I will recommend this course to anyone who wants to become a Data Scientist.
Asyraaf Afandi
5 years agoI joined the Data Science Certification Program which is a great place to learn if you want to start your career in the Data Science industry. The trainers are very knowledgeable and will try to explain the topics until you truly understand it. I would definitely recommend others to join it.
Iqmal Harris
5 years agoThe courses are taught by seasoned industry experts who know how to train absolute beginners and established professionals alike. Glad to have trained under 360DigiTMG.
Zarif Iqram
4 years agoI worked on a Survival Analysis project, which gave me good exposure and boosted my skill set in Business Intelligence with Power BI. Good to have it more and be involved in the real-time projects.
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. In Malaysia, Business Analytics Certification Training offers customized programs aimed at equipping participants with essential skills in data analysis and interpretation. Dive into practical applications that bridge data insights with business strategies. Gain proficiency in Business Analytics to enhance decision-making, optimize operations, and drive organisational success.
What stood out most was the programme's practical and structured approach to AI adoption. The industry-specific examples, combined with clear frameworks for evaluating feasibility and designing solutions, made the learning highly relevant to our business.
What stood out most was the trainer's simple way of explaining Data Science and GenAI, and showing us different AI tools that I had not used before. It made me realise how useful these tools can be in our daily work.
