Data Analysis & Statistics
Learn advanced statistical methods and data interpretation techniques through hands-on projects.
10 weeks
200+ students
96% success rate
Course Objectives
Master statistical analysis and interpretation techniques
Create compelling data visualizations and dashboards
Apply machine learning algorithms to real datasets
Develop proficiency in statistical software and tools
Learn to communicate findings effectively to stakeholders
Build a portfolio of data analysis projects
Course Syllabus
Week 1-2
Statistical Foundations
- Descriptive Statistics
- Probability Theory
- Distributions
- Hypothesis Testing
Week 3-4
Data Visualization
- Chart Types
- Data Storytelling
- Visualization Tools
- Interactive Dashboards
Week 5-6
Advanced Analytics
- Regression Analysis
- Correlation Studies
- ANOVA
- Non-parametric Tests
Week 7-8
Machine Learning Basics
- Supervised Learning
- Unsupervised Learning
- Model Validation
- Predictive Analytics
Week 9-10
Applied Projects
- Real-world Datasets
- Industry Case Studies
- Report Writing
- Presentation Skills
Ready to Master Data Analysis?
Join our comprehensive Data Analysis program and transform raw data into meaningful insights that drive decisions.