About This Course
Statistical analysis is the process of collecting, analyzing, and interpreting data using statistical methods. This includes key components as descriptive Statistics, Inferential Statistics, Probability Theory, Sampling, Experimental Design, Data Visualization, Statistical Software. Overall, statistical analysis is a powerful tool for making data-driven decisions and drawing meaningful insights from data. A strong understanding of statistical methods and their applications is essential for conducting accurate and reliable analyses.
Learning Objectives
Ready to begin working on real-world
data modeling projects,
Expanded responsibilities as part of
an existing role
Find a new position in MNC's.
Eligibility
Benefits
Key Features
Modules
Schedule your Slot
| Date | Session Schedule | weekday/weekend |
|---|
Skills Covered
Data Science with Python
Machine Learning Algorithms
Data Manipulation
Data Science with R
Tableau
SQL
Advanced Excel
Data Blending
Tools Covered
₹25000.00
Material Includes
- Videos
- Live Classroom
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