Download free course of Data Sciences in PDF format easily. This course is very useful for everyone. Data science can be defined as a mixture of mathematics, sense of business, appliances, methods of machine learning algorithms. These are all of that help us in finding out the hidden apprehension and design from raw data which is very useful in the formation of large business decisions. You can learn the applications of data science by this course.
- Big Data and Analytics
- Basic Nomenclature
- Analytics Process Model
- Job Profiles Involved
- Analytical Model Requirements
- Data Collection, Sampling and Preprocessing
- Types of Data Sources
- Sampling
- Types of Data Elements
- Visual Data Exploration and Exploratory
- Statistical Analysis
- Outlier Detection and Treatment
- Standardizing Data
- Categorization
- Analytics: Putting It All to Work
- Backtesting Analytical Models
- Benchmarking
- Data Quality
- Software
- Privacy
- Model Design and Documentation
- Corporate Governance
- Chapter 8 Example Applications
- Credit Risk Modeling
- Fraud Detection
- Net Lift Response Modeling
- Churn Prediction
- Recommender Systems
- Web Analytics
- Social Media Analytics
- Business Process Analytics
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