Course Outline

Introduction to Python for Government

  • Variables, Tuples, and Lists
  • Loops and Control Statements
  • Modules and Imports

Development Environment Installation for Government

  • Installing Python
  • Installing Jupyter
  • Installing Python Modules Using Pip

Vectorizing Data in Numpy for Government

  • Creating Numpy Arrays
  • Common Operations on Matrices
  • Using Universal Functions (ufuncs)
  • Views and Broadcasting on Numpy Arrays
  • Optimizing Performance by Avoiding Loops
  • Optimizing Performance with cProfile

Data Analysis with Pandas for Government

  • Data Cleaning
  • Using Vectorized Data in Pandas
  • Data Wrangling
  • Sorting and Filtering Data
  • Aggregate Operations
  • Analyzing Time Series

Data Visualization for Government

  • Plotting Diagrams with Matplotlib
  • Using Matplotlib from Within Pandas
  • Creating Quality Diagrams
  • Visualizing Data in Jupyter Notebooks
  • Other Visualization Libraries in Python

Using Sklearn for Government

  • Building Supervised Learning Models
  • Building Classification Models
  • Model Training and Evaluation
  • Plotting Results
  • Confusion Matrix Calculation and Plotting

Introduction to Deep Learning Using Keras and TensorFlow for Government

  • Installing TensorFlow and Keras
  • Introduction to Neural Networks
  • Building and Training Artificial Neural Networks (ANN)
  • Introduction to Convolutional Neural Networks (CNN)
  • Building and Training Image Classifiers Using CNN
  • Training and Evaluating Deep Learning Models

Requirements

This course is specifically designed for individuals who participated in the "Python and Data Visualization" training with Ahmed on February 11, 2021. It is tailored to build upon the foundational knowledge gained in that session, ensuring continuity and advancement of skills for government professionals.

 14 Hours

Number of participants


Price per participant

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