Python Training sponsored by DICT-Philippines.
Python Training offered April 2022
- Descriptive Analysis
- Diagnostic Analysis
- Predictive Analysis
- Prescriptive Analysis
- Introduction to Data Analysis
- Data Analysis with Python
- Data Analysis in the Real World
- Data Analysis method
- Review of function, arrays and list in jupyternotebook using python
- Data Handling in Python
- Series() -create a series passing by list
- DataFrame() -data framing
- read_csv() -reading a data from local machine
- info() - get the information of data and data types
- head() - display first 5 rows of data
- tail() - display last 5 rows of data
- shape() - display the shape, number of columns and rows
- Working with DataFrame
- dropna(), isnull, and isna() nethods - for null vaues in data
- describe() method - information of dataframe
- simple filtering with conditionals
- arranging with sort_values
- aggregate method
- Analyze the Data
- Clean the Data
- Applied the methods learned from the previous lesson/s
- fillna() method - to fill null values into non null
- to_datetime() method - to convert object into date data type
- astype method() - to convert a object into string readable
IDE
- Libraries
- Numpy
- Pandas
- Plotting Libraries
- Matplotlib
- Seaborn
This project and exercises is used by the following companies: