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Data Analytics can range from analyzing simple datasets to designing complex data-driven models for business intelligence and decision-making. It helps in uncovering insights, identifying trends, and making data-driven strategies. Key aspects include data visualization, statistical analysis, data preprocessing, SQL, and machine learning for analytics.
| Course Name | Data Analytics |
|---|---|
| Course Duration | 24 Weeks |
| Data Analytics Curriculum |
|---|
| Introduction to Data Analytics |
| Data Collection & Cleaning |
| Adv Excel |
| Data Visualization with Tableau & Power BI |
| SQL for Data Analytics |
| Statistical Analysis & Hypothesis Testing |
| Regression & Predictive Analytics |
| Machine Learning for Data Analytics |
| Big Data & Cloud Analytics |
| Final Project & Real-world Applications |
