Data and Business Analytics Career Ready Program
Build the skills, tools and practical experience needed to launch a data analytics career in Australia. This job-ready program helps learners gain hands-on analytical abilities, industry software training and guided career support to confidently enter data and business analytics roles.
Program Duration: 2 Months
Why Choose Our Data Analytics Job-Ready Program?
Designed for students, job seekers and migrants, this Australian-focused program helps you develop real analytical capability using the tools and techniques employers rely on.
Data and Business Analytics
This data & business analytics training program builds essential skills for entry-level analytics roles in Australia. Learners gain practical experience in Excel, Power BI, SQL, Python, business statistics, data cleaning, modelling and dashboard creation, using tools and workflows commonly applied in Australian organisations.
The program includes real business case studies and workplace-style tasks to help participants understand local reporting standards, KPIs and industry expectations. Each module ends with a practical capstone activity, ensuring graduates are fully job-ready for data and business analytics roles across Australia.
Course Structure
The course covers 8 modules to be run over 8 weeks and each module is broken down into 4 sections:
- Theoretical Overview
- Technical Applications
- Project Based Labs
- Interview Questions (Technical plus Behavioural)
Data & Business Analytics Job Ready Course Modules
Excel for Data Analysis with AI
- Excel Formulas: SUMIF, VLOOKUP, XLOOKUP, INDEX-MATCH and more.
- Data Organisation: Sorting, filtering, and conditional formatting.
- Pivot Tables: Analysing data using pivot tables.
- Power Query: Introduction to data transformation.
- Excel Copilot: Leverage Excel’s AI features for enhanced productivity.
Business Statistics in Excel
- Statistical Concepts: Mean, Median, Mode, Standard Deviation, Correlation, Regression, and Normalisation.
- Data Analysis Techniques: Using Excel to perform basic statistical analysis.
- Hands-on assignments to calculate and interpret key statistical metrics.
- Projects to apply business statistics in real-world scenarios.
Power BI for Data Visualisation
- Power BI Overview: Introduction to Power BI and its capabilities.
- Data Connections: Connect to various data sources.
- Data Transformation: Clean, model, and transform data using Power BI.
- DAX (Data Analysis Expressions): Learn basic to intermediate DAX functions for calculations.
- Data Modelling and Dashboarding: Create meaningful visualisations and dashboards.
- Publishing to Power BI Service: Share reports and collaborate in the cloud.
Business Fundamentals with AI Charts in Power BI
- Chart Selection: Understand when and how to use different types of charts (bar, line, pie, etc.).
- KPI Tracking: Learn to track key performance indicators in Power BI.
- AI-Driven Visualisations: Use AI-powered insights for data analysis in Power BI.
- Data Refresh Techniques: Ensure your reports are updated automatically with data refresh strategies.
SQL for Data Analysis
- SQL Basics: Introduction to SQL, database concepts, and SQL syntax.
- Key SQL Queries: SELECT, JOIN, WHERE, and GROUP BY clauses.
- Advanced SQL: Window functions, stored procedures, Common Table Expressions (CTEs), temporary tables, and views.
- SQL for Data Analysis: Extracting insights and performing analytics using SQL queries.
ETL and Data Warehousing
- ETL Process: Understand Extract, Transform, and Load (ETL) concepts.
- Data Warehousing: Learn the differences between OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing).
- Modern Trends: Explore cloud data warehouses, automation in ETL processes, and data lake concepts.
Python, Pandas, and AI Tools
- Python Basics: Introduction to Python programming, variables, control structures, and functions.
- File Handling: Learn to read, write, and manipulate files (CSV, JSON, Excel).
- Pandas for Data Analysis: Use Pandas Data Frames for data manipulation, handling missing data, merging, and grouping.
- Leveraging AI: Integrating AI tools like ChatGPT into your workflow for technical tasks and problem-solving.
Program Conclusion and Certification
- Final Project: Create a comprehensive data analysis project that incorporates Excel, Power BI, SQL, Python, and AI tools.
Career Counselling
- Resume, Cover Letter Building & Review
- LinkedIn Profile Review
- Job Hunt Strategy Assistance
- Mock Interview Session: Behavioural & Technical
- Interview Preparation
- Assistance with Business and Professional Email Writing
Who Is This Business Analytics Job-Ready Program Designed For?
This program is ideal for anyone looking to build data analytics skills that align with Australian industry needs. It’s suitable for:
- Learners aiming to start a career as a data analyst or business analyst in Australia.
- Recent graduates wanting hands-on experience with Excel, Power BI, SQL, Python and real Australian datasets.
- International students seeking exposure to Australian reporting standards, analytics workflows and workplace tools.
- Job seekers who need practical, resume-ready analytics projects to improve employability.
- Professionals transitioning into data and analytics who want guided training and structured industry preparation.
Frequently Asked Questions
What is the Data and Business Analytics Career-Ready Program?
This program is a structured, hands-on training pathway that helps learners develop practical skills in Excel, Power BI, SQL, Python and business analytics. It is designed around Australian industry needs, helping participants build the competencies required for analyst roles across the country.
Who can enrol in this data analytics training course?
Anyone looking to start or advance a career in data or business analytics can enrol. The course is suitable for recent graduates, international students, job seekers, career changers and professionals wanting practical, job-ready analytics skills for Australian workplaces.
Do I need previous experience to join the program?
No prior professional experience is required. The course starts with fundamentals and gradually moves into advanced tools and real-world case studies. Basic computer skills are enough to get started.
What types of jobs can I apply for after completing the course?
Graduates can pursue roles such as: Junior BI Developer, Data Analyst, Business Analyst, Reporting Analyst, Insights Analyst
Is this program suitable for international students and migrants?
Yes. The course includes exposure to Australian analytics workflows, reporting standards, workplace expectations and tools commonly used in local organisations, making it ideal for learners new to the Australian job market.
Will I receive a certificate after completing the program?
Yes. Participants receive a certificate of completion, employer-ready project work and guided career preparation to support job applications.
