Python for SAS user
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Python For Business intelligence and Data science
Chapter 1 Introduction
1.1 Introduction of Python: what is Python? Why learn Python?
1.2 Installment of Python
Chapter 2 Python Programming Fundamental
2.1 introduction
2.2 simple calculation
2.3 data structure
2.4 comment of program
2.4 control function and control program flow
2.5 Date and time variables
Chapter 3 Python Data: Input and Output
3.1 input various data files to Python: Excel, text, SAS…..
3.2 Input data from relational database
3.3 Write Python data to SAS, Spss
Chapter 4: Data manipulation and data management
4.1 Combining dataset
4,2 String manipulation
4.3 Data transformation
Chapter 5: Python Data visualization
5.1 Introduction of Python data visualization
5.2 Plot function in Matplotlib and pandas
5.3 Plot various types of graphs
Chapter 6: Common mathematical and statistical functions and procedures
6.1 Probability distributions and random number generation
6.2 Categorical data analysis with python
6.3 ANOVA
6.4 Regression
6.5 Survival analysis
Chapter 7 : Data mining and machine learning
7.1 Traditional data mining
7.1.1 Logistic regression
7.1.2 Decision tree
7.2 New machine learning methods
7.2.1 Natural Language Processing
7.2.2 Deep learning
7.2.3 Reinforcement Learning
7.2.4 Batch Learning
7.2.5 Online Learning
7.2.6 Instance Based Learning
Chapter 8: Python Resume, interview and real projects
8.1 Comparison of SAS with Python
8.2Python resume
8.3 Interview
8.4 Build Risk management models
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