Module 1: Introduction to Business/Data Analytics
Module 2: Data Collection and Preparation
Module 3: Statistical Analysis for Business
Module 4: Data Visualization
Module 5: Business Intelligence (BI) Tools
Module 6: Data Governance and Security
Module 7: Industry Applications and Trends
Module 8: Data Warehousing and Modelling
Module 9: Programming for Data Analysis (Python & R)
Module 10: Microsoft Azure Analytics and Reporting Tools
Business/Data Analytics
- Duration: 12 Weeks
- Course Delivery- Online, Onsite
Business/ Data Analytics
This course provides a comprehensive introduction to business/data analytics, equipping students with the skills and knowledge needed to analyze and interpret data for informed decision-making in a business context. Participants will explore various analytical techniques, tools, and technologies, and gain hands-on experience through practical applications.
Business data analytics refers to the process of examining and interpreting data to provide insights that can be used to make informed business decisions. It involves the use of various techniques, tools, and technologies to analyze large sets of data and extract meaningful patterns, trends, and correlations. The goal is to leverage data to gain a competitive advantage, optimize processes, and drive business success.
Upon completing this training program, students will be able to:
Understand the fundamentals of business and data analytics concepts and methodologies.
Collect, clean, and prepare data for analysis using modern tools and techniques.
Perform statistical analysis to identify patterns, correlations, and business insights.
Design and develop effective data visualizations to communicate analytical findings.
Utilize Business Intelligence (BI) tools such as Power BI, Tableau, and SAP BI for reporting and dashboards.
Implement data governance and ensure data security and compliance in business environments.
Model, design, and manage data warehouses for efficient data storage and retrieval.
Use programming languages like Python and R for data manipulation, analysis, and visualization.
Apply SQL and related tools for querying and managing data across multiple databases.
Leverage cloud-based platforms such as Microsoft Azure for analytics, ETL processes, and reporting.
Students should have a basic understanding of business processes and fundamental data concepts. Familiarity with Microsoft Excel or similar data tools is recommended. While no prior programming experience is required, an analytical mindset and interest in data-driven decision-making will be beneficial for successful course completion.
$3,000
MODE: Hybrid
LOCATION: Suite 103, 755 George Street, Haymarket, NSW 2000
TIME: 12 Weeks
Request for Course Catalogue
Join our next classes starting 29th September 2025.
Every Wednesday and Thursday from 6.30PM
Teaching Modules
- Understand the role and importance of data analytics in business decision-making.
- Develop proficiency in data collection, cleaning, and preparation.
- Apply statistical and machine learning techniques to analyze business data.
- Create effective data visualizations to communicate insights.
- Use business intelligence tools for reporting and interactive analysis.
- Explore big data technologies for handling large datasets.
- Understand data governance and security principles.
- Develop decision support systems for business applications.
Course Outline
- Introduction to Business/Data Analytics
- Data Collection and Preparation
Sources of business data - Statistical Analysis for Business
- Machine Learning Fundamentals
- Data Visualization
- Business Intelligence (BI) Tool
- Big Data Analytics
- Data Governance and Security
- Decision Support System
- Industry Applications and Trend