The Course Name: Python for Data Science: Advanced

The Duration: 3 Days

Module Description

• This Module is consist of Python for Data Science Advanced Topics. Attendees will have advanced information on Data Science and Analysis.
• This is module is important for Python Data Science and Machine Learning Courses. Attendees working on Data Analysis, Machine Learning and Artificial Intelligence will find this essential content very useful.

Module Outline:

Day 1:

NUMPY

• Ndarray: A multidimensional array dtype and shape to define type and geometry Element-wise computation Creating Arrays Using Arrays and Scalars Indexing Arrays Array Transposition Universal Array Function Array Processing Array input and output LAB: Matrice Operations

PANDAS

• Series DataFrame Index objects Drop Entry Selecting Entries Data Alignment Rank and Sort Summary Statistics Missing Data Reading and Writing Text Files JSON with Python HTML with Python

Day 2:

KAGELL Data Science LAB:

• > Visit KAGELL Website https://www.kaggle.com/ Navigate to Data Section Search for Dataset: SF Salaries San Francisco city employees on an annual basis from 2011 to 2021 Download Salaries.csv that contains where 110000 lines of data Read data into Pandas Frame Analyze columns Calculate statistical values of BasePay: Mean, Standart Deviation

Merge

• Merge on Index Concatenate Combining DataFrames Reshaping Mapping Replace Permutation GroupBy on DataFrames GroupBy on Dict and Series Aggregation Splitting and Combining Pandas LABS

Day 3:

MATPLOTLIB

• Data Visualization with Matplotlib Matplotlib is written in Python and makes use of NumPy Matplotlib has a procedural interface named the Pylab Pylab is designed to resemble MATLAB Pyplot API Simple Plot PyLab module Figure Class Axes Class Multiplots Subplots Function Grids Formatting Axes Bar Plot Histogram Pie Chart Scatter Plot Contour Plot Three-dimensional Plotting Matplotlib LABS Project(Labs:)

KAGELL Data Science LAB:

• Visit KAGELL Website https://www.kaggle.com/ Navigate to Data Section Search for Dataset: SF Salaries Download Salaries.csv that contains where 150000 lines of data List top 10 highest paid people Use matplotlib to visualize data