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       Python in Data Science培訓

Day 1

Data Science
Data Science Team Composition (Data Scientist, Data Engineer, Data Visualizer, Process Owner)
Business Intelligence
Types of Business Intelligence
Developing Business Intelligence Tools
Business Intelligence and the Data Visualization
Data Visualization
Importance of Data Visualization
The Visual Data Presentation
The Data Visualization Tools (infographics, dials and gauges, geographic maps, sparklines, heat maps, and detailed bar, pie and fever charts)
Painting by Numbers and Playing with Colors in Making Visual Stories
Activity

Day 2

Data Visualization in Python Programming
Data Science with Python
Review on Python Fundamentals
Variables and Data Types (str, numeric, sequence, mapping, set types, Boolean, binary, casting)
Operators, Lists, Tuples. Sets, Dictionaries
Conditional Statements
Functions, Lambda, Arrays, Classes, Objects, Inheritance, Iterators
Scope, Modules, Dates, JSON, RegEx, PIP
Try / Except, Command Input, String Formatting
File Handling
Activity

Day 3

Python and MySQL
Creating Database and Table
Manipulating Database (Insert, Select, Update, Delete, Where Statement, Order by)
Drop Table
Limit
Joining Tables
Removing List Duplicates
Reverse a String
Data Visualization with Python and MySQL
Using Matplotlib (Basic Plotting)
Dictionaries and Pandas
Logic, Control Flow and Filtering
Manipulating Graphs Properties (Font, Size, Color Scheme)
Activity

Day 4

Plotting Data in Different Graph Format
Histogram
Line
Bar
Box Plot
Pie Chart
Donut
Scatter Plot
Radar
Area
2D / 3D Density Plot
Dendogram
Map (Bubble, Heat)
Stacked Chart
Venn Diagram
Seaborn
Activity
Day 5

Data Visualization with Python and MySQL
Group Work: Create a Top Management Data Visualization Presentation Using ITDI Local ULIMS Data
Presentation of Output