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Overview
Course Description
This course covers the end-to-end data science lifecycle, including data collection, analysis, visualization, and predictive modeling.
What you'll learn
• Data preprocessing and cleaning• Exploratory Data Analysis (EDA)
• Data visualization (Matplotlib, Seaborn)
• Machine learning basics
• Real-world case studies
Prerequisites
• Python basics• Basic statistics
Key Features
Instructor Led Training
Get trained by top Industry experts.
24*7 Technical Support
Connect with experts anytime for instant clarity.
Life time LMS Access
Learn anytime with lifetime LMS access.
Success Ratio
Live training in small 1:4 batches.
Flexible Classes
Convenient timing options.
Mentorship
Academic and job preparation support.