Professional Certificate Course in
Business Analytics in Malaysia
- 120 Hours Classroom & Online Sessions
- 6 Months Assignments & eLearning
- 3 Weeks Virtual Internships
- 100% Job Assistance
- Certification from Technology Leader - IBM
- 100% HRD Corp Claimable!
Academic Partners & International Accreditations
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 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.
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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.
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.
Start your course at RM 550
Full Course Fee RM 6600 (excl 6%SST)
0% Interest Free Installments options available.
How We Prepare You
Additional Assignments of over 60-80 hours
Live Free Webinars
Resume and LinkedIn Review Sessions
6 Months Access to LMS
Job Assistance in Business Analytics Fields
Unlimited Mock Interview and Quiz Session
Hands-on Experience in a Live Project
Life Time Free Access to Industry Webinars
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