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Data Analysis Certification Training Course
Length
3 days
Price
$1999
Days
Mon - Wed
Learn More
Why Choose This Course
In today’s data-driven world, organisations rely on accurate analysis to make strategic decisions, optimise operations, and identify growth opportunities. The Data Analysis Certification Training Course equips professionals with the essential skills to collect, clean, analyse, and visualise data using modern tools and techniques.
This course covers the entire data analysis lifecycle, from understanding data structures to applying statistical methods and creating interactive dashboards. Participants will gain hands-on experience with tools such as Excel, SQL, Python, and Tableau, learning how to transform raw data into actionable insights. Topics include data wrangling, exploratory data analysis, and effective data storytelling for business decision-making.
Designed for beginners and professionals seeking to upskill, this course prepares learners for globally recognised certifications such as Google Data Analytics Professional Certificate and CompTIA Data+. By completing this training, participants will be ready to support data-driven initiatives across industries, enhance reporting processes, and contribute to organisational success.
Prerequisites
- There are no formal prerequisites for this course.
Exam
- Google Data Analytics Professional Certificate
Books
- Data Analysis Certification Training Course material included.
Delivery
- Face-to-Face
- Live Virtual Instructor-led
Training
Skills Gained
- Understand the data analysis lifecycle and key concepts
- Collect, clean, and prepare data for analysis
- Apply statistical techniques for data interpretation
- Use Excel for business analytics and dashboards
- Write SQL queries to extract and manipulate data
- Perform data analysis using Python libraries (Pandas, NumPy)
- Create visualisations and dashboards with Tableau or Power BI
- Conduct exploratory data analysis and identify trends
- Apply data storytelling techniques for business communication
- Understand basics of data ethics and governance
- Prepare for industry-recognised data analytics certifications
- Support decision-making through actionable insights
- Work with structured and unstructured data
- Apply best practices for data quality and validation
- Understand fundamentals of big data and cloud analytics
Audience
- Aspiring data analysts
- Business analysts and reporting professionals
- IT and operations staff involved in data-driven projects
- Anyone seeking to transition into analytics roles
Objectives
- Understand the data analysis lifecycle and its role in business decision-making.
- Learn to collect, clean, and prepare data for analysis using best practices.
- Apply statistical techniques to interpret and validate data insights.
- Gain proficiency in Excel for data manipulation and dashboard creation.
- Write SQL queries to extract, filter, and aggregate data from relational databases.
- Use Python libraries (Pandas, NumPy, Matplotlib) for advanced data analysis.
- Perform exploratory data analysis (EDA) to identify patterns and trends.
- Create interactive dashboards and visualisations using Tableau or Power BI.
- Apply data storytelling techniques to communicate insights effectively.
- Understand data ethics, governance, and compliance principles.
- Work with structured and unstructured data for diverse business scenarios.
- Apply best practices for data quality, validation, and reporting.
Outline
- Introduction to Data Analytics
- Data Analysis Lifecycle and Roles
- Excel for Data Analysis (functions, pivot tables, dashboards)
- SQL for Data Extraction and Transformation
- Statistics and Probability for Analytics
- Python for Data Analysis (Pandas, NumPy, Matplotlib)
- Data Wrangling and Cleaning Techniques
- Exploratory Data Analysis (EDA)
- Data Visualisation Principles
- Tableau and Power BI for Interactive Dashboards
- Data Modelling Basics
- Business Intelligence Concepts
- Data Ethics and Governance
- Big Data and Cloud Analytics Overview
- Capstone Project: End-to-End Data Analysis
Price
| Days | Mon – Wed | Mon & Tue | Saturdays only |
| Time | 9:30 am to 5:00 pm | 6:00 pm to 9:00 pm | 10:00 am to 5:00 pm |
| Duration | 3 days | 1 week or 3 weeks | 1 week or 3 weeks |
| Price | $1999 | $1999 | $1999 |
Terms & Conditions
Frequently Asked Questions (FAQ's)
What is the Data Analysis Certification Training Course?
It is a comprehensive program that teaches data collection, cleaning, analysis, and visualisation using tools like Excel, SQL, Python, and Tableau.
Who should take this course?
It is ideal for aspiring data analysts, business analysts, and professionals seeking to upskill in data analytics.
Are there any prerequisites for this course?
No formal prerequisites are required. Basic computer literacy is helpful.
What tools will I learn in this course?
You will learn Excel, SQL, Python, Tableau, and Power BI for data analysis and visualisation.
Does this course prepare me for certification exams?
Yes, it aligns with certifications such as Google Data Analytics Professional Certificate and CompTIA Data+.
Our Partnership
In today’s data-driven business environment, organisations depend on accurate analysis to make informed decisions, optimise operations, and identify growth opportunities. The Data Analysis Certification Training Course provides comprehensive training in the essential skills required to collect, clean, analyse, and visualise data using industry-standard tools and techniques.
$105,000
Average annual salary for data analysts in Australia (varies by role and experience).
81%
Australian organisations rank data analytics as a top priority for digital transformation and business growth.
14%
Year-on-year growth in analytics-related job openings, driven by demand for data-driven decision-making.
$26.6 Billion
Current size of Australia’s public cloud and analytics market, forecast to grow nearly 19% this year.
3,500+
Australian companies actively hiring for data analytics roles across finance, healthcare, retail, and technology sectors.
93%
Business leaders say certified data analytics professionals significantly improve organisational performance and strategic planning.
Our Accreditations
