Python Fundamentals plus Training Course

Course Code

pythondisc

Duration

14 hours (usually 2 days including breaks)

Requirements

This course is exclusively offered to individuals who attended "Python and Data Visualization" with Ahmed on 11th February 2021

Overview

This course is an extension of the 1 day introduction to Python - Python and Data Visualization held on February 11th.

The course is designed for those wishing to learn the Python programming language. The emphasis is on the Python language, the core libraries, as well as on the selection of the best and most useful libraries developed by the Python community. Python drives businesses and is used by scientists all over the world – it is one of the most popular programming languages.

Course Outline

 Introduction to Python

  • Variables, Tuples and Lists
  • Loops and control statements
  • Modules and imports

Development Environment Installation

  • Installing python
  • Installing Jupyter
  • Installing python modules using Pip

Vectorizing Data in Numpy

  • Creating Numpy arrays
  • Common operations on matrices
  • Using ufuncs
  • Views and broadcasting on Numpy arrays
  • Optimizing performance by avoiding loops
  • Optimizing performance with cProfile

Data Analysis with Pandas

  • Data cleaning
  • Using vectorized data in pandas
  • Data wrangling
  • Sorting and filtering data
  • Aggregate operations
  • Analyzing time series

Data Visualization

  • Plotting diagrams with matplotlib
  • Using matplotlib from within pandas
  • Creating quality diagrams
  • Visualizing data in Jupyter notebooks
  • Other visualization libraries in Python

Using Sklearn

  • 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

  • Installing TensorFlow and Keras
  • Introduction to Neural Networks
  • Building and Training ANN
  • Introduction to Convolutional Neural Network
  • Building and Training Image Classifier using CNN
  • Training and Evaluating Deep Learning Models

Testimonials

★★★★★
★★★★★

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