Getin Advantage
Data Analytics & BI
10 +
Years Of Experience
Canada-Based Data Science & Analytics Overview
Curriculum is aligned with new technological developments
Modern Curriculum
Introduction to Data Science
Overview of Data Science & Analytics in Canada
Role of Data Scientists in Canadian industries
Understanding data-driven decision making
Tools & technologies used in Canada-based analytics projects
Python for Data Science
Python basics: syntax, data types, loops, and functions
Libraries: NumPy, Pandas, Matplotlib, Seaborn
Data cleaning, preprocessing, and visualization
Statistics & Probability
Descriptive & inferential statistics
Probability distributions
Hypothesis testing
Regression analysis (linear & logistic)
Data Visualization & Business Intelligence
Data storytelling & visualization techniques
Tools: Tableau, Power BI, Matplotlib, Seaborn
Dashboard creation for business decision making
Machine Learning Fundamentals
Supervised vs. unsupervised learning
Algorithms: Linear Regression, Decision Trees, KNN, Clustering
Model evaluation metrics
Hands-on projects using Canadian datasets
Advanced Analytics & Big Data
Introduction to Big Data tools: Hadoop, Spark
Data warehousing concepts
Predictive analytics for business insights
Real-world case studies from Canadian companies
SQL & Database Management
SQL fundamentals: SELECT, JOIN, GROUP BY
Data extraction & manipulation
Working with relational and non-relational databases
Capstone Project
Real-world industry projects
Analysis of Canadian market/business datasets
Presentation & reporting of insights
Resume-ready portfolio preparation
Job Achievement Highlights
1500 +
Placements
500 +
Satisficed Customer
22 LPA
Highest Salary
1200 +
Hired our Learners
Acquire Skills in Industry-Standard Tools
Gain the skills needed to step into positions like
Career Outcomes & Opportunities
Testimonials
Student Achievements
Priya Sharma
Ahmed Khan
Sneha Mehta
Rohan Patel
