# Data Analytics

> Join Edoxi’s 60-hour Data Analytics Course in Sydney and build your data analysis skills using Python, SQL, Power BI, Advanced Excel, and Statistics. Enrol now!

## Course Details
- Rating: 4.9/5 (150 reviews)
- Location: Sydney, Australia
- Category: Programs
- Sub-Category: Computer Courses

## Course Introduction
Edoxi’s 60-hour Data Analytics Course in Sydney develops skills to collect, process, analyse, and interpret data to generate actionable insights. It covers analytics tools like Python, SQL, Power BI, Advanced Excel, and Statistics. Learn data cleaning, statistical analysis, and data visualisation. Training includes 5 major projects plus a comprehensive capstone project. Complete the course and receive a CPD UK-accredited Data Analytics Certification. Enrol now and gain the skills to explore data-driven career opportunities in Australia.

## Course Overview
- Delivery Modes: Online
- Course Duration: 60 Hours
- Corporate Days: 5 Days
- Learners Enrolled: 500+
- Modules: 9

## What Do You Learn from Edoxi's Data Analytics Course in Sydney?

**Python Data Analysis Fundamentals**
Master Pandas, NumPy, and Matplotlib. Build skills in data manipulation, cleaning, and visualisation using Jupyter Notebooks.

**SQL Database Querying Skills**
Learn to write complex queries, joins, and CTEs. Extract insights from MySQL databases using window functions.

**Power BI & Excel Dashboard Creation**
Design interactive dashboards using Power Query. Transform raw data into compelling visual stories for stakeholders.

**Statistical Analysis and Hypothesis Testing**
Learn to apply SciPy for A/B testing and p-value analysis. Make data-driven decisions using confidence intervals.

**Data Cleaning and Transformation**
Handle missing values, outliers, and duplicates and master feature engineering and encoding techniques for analysis-ready datasets.

**Real-World Project Implementation**
Participate in e-commerce, healthcare, and finance projects and build a portfolio showcasing end-to-end analytics workflows.

## About This Course
## About Our Data Analytics Course in Sydney

Edoxi’s 60-hour Data Analytics Course in Sydney is designed to transform beginners into skilled data analysts through a structured, practical, and hands-on learning journey. The program equips you with the ability to collect, process, analyse, and interpret data to uncover meaningful insights that drive smarter decision-making. Whether you are starting a new career in data analytics or looking to upskill, our data analytics course provides the right foundation and advanced tools to help you succeed. 

The Data Analytics Training in Sydney covers key areas such as data management, Python programming, statistical analysis, and interactive dashboard creation. You will begin with fundamental concepts and progress step by step into advanced techniques, ensuring a clear learning curve. With real-world projects and practical exercises integrated into the training, you will gain valuable experience and confidence to apply analytics in professional scenarios.

Our live online Data Analytics Course includes expert instruction, interactive learning, and access to industry-standard tools. For organisations, Edoxi offers a 5-day customised Data Analytics Training. It can be delivered at your office, at a hotel, or at Edoxi’s training centre.

Throughout the Data Analytics course in Sydney, you will also work with real-world datasets from sources like Kaggle and government portals. Practical tasks include cleaning data using Pandas, writing SQL queries, and building dashboards in Power BI and Excel.

During the Data Analytics course, you will complete a capstone project, which will be part of your analytics portfolio. This enables you to demonstrate end-to-end data workflows from collection to presentation. Our practical training approach ensures Edoxians build confidence in analysing data and presenting clear, actionable insights to support business decisions. Upon course completion, you’ll gain an internationally recognised CPD UK-accredited Data Analytics Certification, highly valuable in the Australian job market. 

This Data Analytics certification course is ideal for beginners and career switchers aiming for entry-level data analytics roles. By the end of the Data Analytics course in Sydney, you will be ready to work as a data analyst, BI specialist, or analytics consultant. The course prepares you for jobs in different industries such as finance, healthcare, logistics, and e-commerce.

Enrol now and gain the skills and confidence to explore data-driven career opportunities in Sydney.

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## Key Features of Edoxi's Data Analytics Course

**Comprehensive Study Resources**
Access Microsoft documentation guides, practice notebooks, Excel templates, SQL queries, and Power BI files throughout training.

**Interactive Coding Sessions**
Engage in live coding, data cleaning drills, SQL writing, and dashboard building with peer reviews.

**Real-World Dataset Exercises**
Practice with Kaggle, government, and Maven Analytics datasets across all modules for authentic industry experience.

**Tailored Learning Path**
Progress through modules customised to your skill level, from data fundamentals to advanced analytics with clear milestones.

**Industry-Standard Tool Stack**
Master Python, MySQL, Power BI, Excel, SciPy, and Seaborn for complete analytics capabilities.

**End-to-End Capstone Project**
Complete a full data pipeline from cleaning to presentation, building portfolio-ready analytics solutions.

## Who Can Join Our Data Analytics Course in Sydney?

**Fresh Graduates and STEM Professionals**
Recent graduates in commerce, engineering, IT, business management, or related disciplines seeking to launch careers.

**Business and Marketing Analysts**
Current analysts and marketing professionals who want to enhance their capabilities with Python, SQL, and Power BI for deeper data insights.

**Finance and Operations Executives**
Professionals in finance, operations, and logistics roles looking to leverage data analytics for forecasting, optimisation, and strategic decision-making.

**IT and Software Engineers**
Technical professionals aiming to expand their skillset into data analytics, combining programming knowledge with business intelligence capabilities.

**Healthcare and Retail Staff**
Industry professionals from healthcare, retail, and e-commerce sectors seeking to analyse operational data for improved efficiency and customer insights.

**Career Transitioners**
Individuals from any background with basic computer skills and logical thinking abilities are ready to transition into high-demand data analytics roles.

## Data Analytics Course Modules

### Module 1: Introduction to Data Analysis

**Chapter 1.1: Fundamentals of Data Analysis**
- Lesson 1.1.1 What is Data Analysis?
- Lesson 1.1.2 Types of Data: Structured vs Unstructured
- Lesson 1.1.3 Importance and Applications in Industry

**Chapter 1.2: Overview of the Data Analysis Lifecycle**
- Lesson 1.2.1 Data Analysis Process Overview (Ask → Prepare → Process → Analyze → Share → Act)
- Lesson 1.2.2 Introduction to Analytical Tools (Excel, Python, SQL, Power BI)

**Chapter 1.3: Setup and Initial Exploration**
- Lesson 1.3.1 Install Tools (Jupyter, Excel, SQL environment)
- Lesson 1.3.2 Explore Datasets (e.g., Iris, Titanic, Sales Data)

### Module 2: Data Collection & Cleaning

**Chapter 2.1: Data Acquisition**
- Lesson 2.1.1 Data Sources: Surveys, Databases, APIs, Web Scraping
- Lesson 2.1.2 Data Formats: CSV, JSON, XLS, TXT, HTML

**Chapter 2.2: Data Cleaning Fundamentals**
- Lesson 2.2.1 Handling Missing Values
- Lesson 2.2.2 Cleaning Techniques: Duplicates, Outliers, Data Type Conversions
- Lesson 2.2.3 String and Date Cleaning
- Lesson 2.2.4 Data Quality Assessment

**Chapter 2.3: Hands-On Data Cleaning**
- Lesson 2.3.1 Use Pandas to Clean a Messy CSV File
- Lesson 2.3.2 Excel: Filters, Conditional Formatting, Data Validation
- Lesson 2.3.3 Power BI: Power Query Editor for ETL Process
- Lesson 2.3.4 Assignment: Clean a Small Dataset and Explain Steps

### Module 3: Exploratory Data Analysis (EDA)

**Chapter 3.1: Descriptive Statistics**
- Lesson 3.1.1 Measures of Central Tendency: Mean, Median, Mode
- Lesson 3.1.2 Measures of Dispersion: Variance, Standard Deviation
- Lesson 3.1.3 Skewness and Kurtosis

**Chapter 3.2: Data Visualisation Techniques**
- Lesson 3.2.1 Histograms, Boxplots, Scatterplots
- Lesson 3.2.2 Heatmaps and Pairplots

**Chapter 3.3: Feature & Correlation Analysis**
- Lesson 3.3.1 Correlation Analysis
- Lesson 3.3.2 Feature Distribution and Summary
- Lesson 3.3.3 Lab: Visualisations with Seaborn/Matplotlib
- Lesson 3.3.4 Assignment: EDA and Mini-Report

### Module 4: Data Wrangling & Transformation

**Chapter 4.1: Data Structuring Techniques**
- Lesson 4.1.1 Merging, Joining, and Concatenation
- Lesson 4.1.2 Reshaping Data: Pivot and Melt

**Chapter 4.2: Feature Engineering**
- Lesson 4.2.1 Creating New Variables
- Lesson 4.2.2 Encoding Categorical Variables
- Lesson 4.2.3 Binning, Normalisation, and Scaling
- Lesson 4.2.4 Lab: Data Preparation with Pandas
- Lesson 4.2.5 Assignment: Clean, Merge, and Encode Data

### Module 5: Data Analysis with SQL

**Chapter 5.1: SQL for Analysts**
- Lesson 5.1.1 Introduction to Databases
- Lesson 5.1.2 Writing SQL Queries
- Lesson 5.1.3 Joins, Subqueries, and CTEs
- Lesson 5.1.4 Aggregation & Grouping
- Lesson 5.1.5 Window Functions and Case Statements
- Lesson 5.1.6 Lab: Querying a Sample Database

### Module 6: Introduction to Statistical Analysis

**Chapter 6.1: Probability and Distribution Basics**
- Lesson 6.1.1 Probability and Common Distributions
- Lesson 6.1.2 Central Tendency and Variability

**Chapter 6.2: Hypothesis Testing**
- Lesson 6.2.1 t-Test, p-Value, and Statistical Significance
- Lesson 6.2.2 Confidence Intervals
- Lesson 6.2.3 Lab: Hypothesis Testing with SciPy
- Lesson 6.2.4 Assignment: A/B Testing Case Study

### Module 7: Data Visualisation & Storytelling

**Chapter 7.1: Visualisation Principles**
- Lesson 7.1.1 Principles of Effective Data Visualisation
- Lesson 7.1.2 Dashboard Design Concepts

**Chapter 7.2: Tools for Visual Communication**
- Lesson 7.2.1 Excel Dashboards
- Lesson 7.2.2 Power BI Dashboards
- Lesson 7.2.3 Plotly, Seaborn, and Matplotlib for Storytelling

### Module 8: Real-World Projects & Case Studies

**Chapter 8.1: Domain-Specific Case Studies**
- Lesson 8.1.1 E-commerce Data Analysis
- Lesson 8.1.2 Healthcare Data Analysis
- Lesson 8.1.3 Finance or Sales Forecasting
- Lesson 8.1.4 A/B Testing for Marketing Campaigns
- Lesson 8.1.5 Customer Segmentation Techniques

### Module 9: Capstone Project

**Chapter 9.1: End-to-End Data Analysis**
- Lesson 9.1.1 Build the Full Pipeline: Clean → EDA → Model → Present
- Lesson 9.1.2 Project Report and Presentation
- Lesson 9.1.3 Peer and Instructor Review

## Hands-On Lab Activities

**E-commerce Customer Segmentation and Sales Analysis**
Analyse customer behaviour patterns using SQL and Pandas to segment audiences, identify purchasing trends, and create actionable insights for marketing strategies.

**A/B Testing for Marketing Campaign Optimisation**
Design and execute statistical hypothesis testing on marketing data using SciPy and statsmodels to evaluate campaign effectiveness through p-value analysis.

**Healthcare Data Analytics Dashboard**
Clean and transform medical datasets using Power Query, perform exploratory analysis with Python, and create interactive Power BI dashboards.

**Financial Sales Forecasting Model**
Develop predictive analytics solutions using historical sales data, applying statistical methods and visualisation techniques to forecast business trends.

**Capstone Project (End-to-End Data Analytics Pipeline)**
Complete a comprehensive data analysis workflow from raw data collection through cleaning, analysis, and presentation, demonstrating mastery of all tools.

## Data Analytics Course Outcome and Career Opportunities in Sydney
Edoxi’s Data Analytics Course with Python, SQL, Power BI & Excel provides a solid foundation for launching a successful career in Sydney’s fast-growing data analytics sector. Some of the course outcomes include;

- Build a strong foundation in data analytics to stand out in a competitive job market.
- Earn a recognised certification that adds credibility to your professional profile.
- Gain hands-on expertise with tools like Python, SQL, Excel, and Power BI.
- Translate raw data into actionable insights that drive real business outcomes.
- Unlock career opportunities across industries such as finance, healthcare, e-commerce, and technology.
- Step confidently into high-demand roles, including Data Analyst, BI Analyst, or Reporting Specialist.

## Career Opportunities After the Data Analytics Course in Sydney
Data Analyst, Data Entry & Reporting Analyst, Business Data Analyst, Quantitative Research Analyst, Product Analytics Associate, KYC Data Analyst, Business Intelligence (BI) Analyst, Marketing/CRM Data Analyst, Operations Data Analyst, Data Engineer, Quantitative Analyst

## Companies Hiring Data Analysts in Sydney
Macquarie Group Limited, Woolworths Group, ASX (Australian Securities Exchange), Deloitte, Westpac Group, Qantas, Sydney Airport, Colgate-Palmolive, Samsung Ads, HDI Global SE, Australia

## Data Analytics Training Options

**Live Online Training**
- 60-Hour Online Data Analytics Course
- Interactive virtual coding sessions
- Screen sharing for demonstrations
- Cloud access to tools/datasets
- Recorded sessions for revision
- Learn at your own pace and convenience

**Corporate Training**
- 5-Day Customised Data Analytics Training
- Curriculum as per your requirements
- Flexible venue: Hotel/Client premises/Edoxi
- Food and refreshments provided
- Visa and travel arrangements
- Team-based business-aligned projects
- Pre and Post-Assessment Reports

## How to Get Data Analytics Certification in sydney?
Here’s a four-step guide to becoming a certified Data Analytics professional.

1. Enrol in Edoxi’s Data Analytics Course in Sydney
2. Attend the training led by experts
3. Complete the projects and assessments
4. Get your Data Analytics Certification from Edoxi

## Why Choose Edoxi for Data Analytics Training in Sydney?
Here are a few reasons why you should choose Edoxi for the Data Analytics Course in Sydney;


**Hands-On, Project-Based Learning**
Immerse yourself in real-world data analytics through practical projects that reinforce core concepts and build problem-solving skills.

**Industry-Ready Portfolio Development**
Create an impressive portfolio featuring five major projects using leading tools such as Python, SQL, Power BI, and Advanced Excel, demonstrating your readiness for the job market.

**Structured, Progressive Curriculum**
Start with the fundamentals and advance step-by-step into complex analytics techniques, ensuring a smooth and confident learning journey for beginners and experienced learners alike.

**Career-Focused Skill Building**
Gain the technical expertise and business acumen required to thrive in today's fast-growing, data-driven industries.

**End-to-End Learning Support**
Benefit from comprehensive guidance, including access to up-to-date tools, curated study resources, version control practices, and career mentorship.

**Gain a Data Analytics Certification**
Upon successful completion of the course, you will receive a CPD UK-accredited course certification. This validates your skills to potential employers.

## Frequently Asked Questions

**Q: Is this Data Analytics course in Sydney suitable for beginners?**
A: Yes, Edoxi’s Data Analytics course in Sydney is designed for learners at all levels, including complete beginners. We start with fundamental concepts and progressively build your skills in Python, SQL, and Power BI through hands-on practice.

**Q: Are there any prerequisites for joining the Data Analytics course in Sydney?**
A: No specific background is required. Basic computer literacy and interest in working with data are sufficient, as we provide comprehensive support from foundational concepts through advanced techniques.

**Q: What is the average salary for data analysts in Sydney?**
A: The average base pay for a Data Analyst in Sydney, Australia is approximately A$95,000 to A$100,000 per year. However, factors like your specific skills, years of experience, and the size and industry of the company can influence your salary.

**Q: What certification will I receive upon completion of the Data Analytics Course in Sydney?**
A: Upon successful completion, you will be awarded the Edoxi Course Completion Certificate along with a CPD UK Certificate (40 CPD hours), recognising you as a Certified Data Analytics Professional.

**Q: Can I take the Data Analytics Course while working full-time?**
A: Absolutely. We offer flexible evening batches (7 PM - 9 PM) on weekdays and weekend sessions (10 AM - 1 PM) specifically designed for working professionals.

## Trainer
- Name: Shahista Tabassum
- Designation: Senior IT Technical Trainer
Shahista Tabassum is an experienced Data Analyst with over 14 years of combined industry and training experience. She has successfully trained more than 2000 students in data analytics, Python programming, and data visualisation. Her career spans hands-on experience in multinational corporations, followed by 10 years of dedicated training, complemented by an M.E. in Web Technologies that strengthens her technical foundation. This dual perspective enables her to deliver real-world context alongside theoretical knowledge in Python programming, data science, statistical analysis, machine learning, and database management.

Shahista's project-based teaching methodology draws directly from her MNC experience, incorporating actual business scenarios and industry challenges into the classroom. Her approach emphasises practical application and data storytelling techniques used in corporate boardrooms, ensuring students learn not just technical skills but also how to communicate insights effectively to stakeholders. Through clear explanations and real-world case studies from her corporate tenure, she guides learners in building portfolio-worthy projects that demonstrate genuine business value, preparing them to contribute immediately in professional settings.

## Enrol in This Course
- Course URL: https://www.edoxi.com/sydney/data-analytics-course
- Phone: +61 457 068 224
- Email: info@edoxi.com