Data Science

Week Topics
    Data Science Overview
  • What Is Data Science?
  • The Growing Need for Data Science
  • The Role of a Data Scientist
    Use Cases
  • Finance
  • Retail
  • Advertising
  • Defense and Intelligence
  • Telecommunications and Utilities
  • Healthcare and Pharmaceuticals
    Project Lifecycle
  • Steps in the Project Lifecycle
  • Lab Scenario Explanation
  • Data Acquisition
  • Where to Source Data
  • Acquisition Techniques
    Evaluating Input Data
  • Data Formats, Data Quantity, Data Quality
  • Role of Glance in OpenStack
  • Data Transformation
  • Anonymization
  • File Format Conversion
  • Joining Datasets
    Data Analysis and Statistical Methods
  • Relationship Between Statistics andm Probability
  • Descriptive Statistics
  • Inferential Statistics Fundamentals of Machine Learning
  • Spotlight: Naive Bayes Classifiers
  • The Three Cs of Machine Learning
  • Importance of Data and Algorithms
    Recommender Overview
  • What Is a Recommender System?
  • Types of Collaborative Filtering
  • Limitations of Recommender Systems
  • Fundamental Concepts
  • Introduction to Apache Mahout
  • What Apache Mahout Is (and Is Not)
  • A Brief History of Mahout
  • Availability and Installation
  • Demonstration: Using Mahout's Item-Based Recommender
    Implementing Recommenders with Apache Mahout
  • Overview
  • Similarity Metrics for Binary Preferences
  • Similarity Metrics for Numeric Preferences
  • Scoring
    Experimentation and Evaluation
  • Measuring Recommender Effectiveness
  • Designing Effective Experiments
  • User Interfaces for Recommenders
  • Production Deployment and Beyond
  • Deploying to Production
  • Tips and Techniques for Working at Scale
  • Summarizing and Visualizing Results
  • Considerations for Improvement
  • Next Steps for Recommenders

Trainer Information

Trainer Name Experience Working In
Sundar 20 years MNC

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