Getin Key Benefits For You
Data Science & Analytics in Australia
10 +
Years Of Experience
Data Science & Analytics Highlights
Curriculum is aligned with new technological developments
Modern Curriculum
Introduction to Data Science (Week 1–2)
- Overview of Data Science and Analytics
- Data collection, cleaning & preprocessing
- Tools introduction: Python, Jupyter, and Excel
Statistics & Probability for Data Science (Week 3–4)
Descriptive & inferential statistics
Probability distributions and hypothesis testing
Data visualization with Matplotlib & Seaborn
Python for Data Analysis (Week 5–6)
Data manipulation using Pandas and NumPy
Exploratory Data Analysis (EDA)
Working with datasets and data pipelines
Machine Learning Foundations (Week 7–9)
Supervised & Unsupervised Learning
Regression, Classification, and Clustering
Model evaluation and optimization
Advanced Analytics & AI Tools (Week 10–12)
Deep Learning with TensorFlow & Keras
Time Series Analysis
Natural Language Processing (NLP) basics
Data Visualization & Reporting (Week 13–14)
Power BI and Tableau dashboards
Data storytelling techniques
Reporting and presentation best practices
Capstone Project & Career Preparation (Week 15–16)
Final project using real business data
Resume building and portfolio creation
Mock interviews and placement training
Placement highlights
1500 +
Placements
500 +
Satisficed Customer
22 LPA
Highest Salary
1200 +
Hired our Learners
Master the tools that drive the industry
After completing this course, you’ll be ready to take on roles
Outcomes & Job Roles
Testimonials
Student Achievements
Priya Nair
Ahmed Khan
Sarah Williams
Liam Brown
