Course Overview
- Course Title: Master in Data Science to Become a Data Scientist
- Instructor: Arun Singhal (B-Tech, MBA from IIM-B; 40+ years of experience in Unilever, J&J, Danone, IIM Udaipur)
- Target Audience:
- Aspiring data scientists with no prior experience
- Career switchers aiming to enter data science
- Students pursuing data science or analytics
- Professionals seeking to upskill in data analysis, machine learning, and visualization
- Prerequisites: None (only willingness to devote 5 hours)
Curriculum Highlights
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Key Topics Covered:
- Responsibilities & qualifications of a data scientist
- Roadmap to becoming a successful data scientist
- Data analysis & exploration techniques
- Model development (machine learning fundamentals)
- Feature engineering best practices
- Data visualization tools & methods
- Experimentation & A/B testing
- Collaboration & documentation in data science projects
- Continuous learning strategies for career growth
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Key Skills Learned:
- Understanding core data science workflows
- Applying statistical & machine learning methods
- Performing exploratory data analysis (EDA)
- Building & evaluating predictive models
- Creating impactful data visualizations
- Structuring data-driven experiments
- Developing a personalized career roadmap in data science
Course Format
- Duration: 5.5 hours of on-demand video
- Format: Self-paced online course (lifetime access)
- Resources:
- 46 downloadable resources (slides, templates, guides)
- Mobile & TV access
- Certificate of completion (Udemy-verified)