Donard20 / Analyze-Data-with-Python-DICT

A free limited web based course learning from DICT where it tackles on analyzing data using Python included my exercises and challenges files.

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Analyze Data with Python

Python Training sponsored by DICT-Philippines.

Python Training offered April 2022

Authors

πŸ“Š Discussing about:

  • Descriptive Analysis
  • Diagnostic Analysis
  • Predictive Analysis
  • Prescriptive Analysis

Data Analysis

What is Data Analysis

Analyze Data with Python

  • Introduction to Data Analysis
  • Data Analysis with Python
  • Data Analysis in the Real World

πŸ“™ Learned about:

  • 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

Summary of my Journey

Analyzing Data with Python


πŸ›  Skill and IDE

IDE

  • Libraries
    • Numpy
    • Pandas
  • Plotting Libraries
    • Matplotlib
    • Seaborn

✨ Certificate Training

Analyze Data with Python

Used By

This project and exercises is used by the following companies:

License

MIT

About

A free limited web based course learning from DICT where it tackles on analyzing data using Python included my exercises and challenges files.

License:MIT License


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Language:Jupyter Notebook 100.0%