Python Programming Certification Course

Teacher

Admin

Course Features

Lectures 71
Quizzes 0
Duration 50 hours
Skill level All levels
Language English
Students 79362
Certificate No
Assessments Yes

Introduction to Python 10

Goal: Give a brief idea of what Python is and touch on the basics.
- Lecture1.1
  
  Overview of Python
- Lecture1.2
  
  Companies using Python
- Lecture1.3
  
  Other applications in which Python is used
- Lecture1.4
  
  Discuss Python Scripts on UNIX/Windows
- Lecture1.5
  
  Variables
- Lecture1.6
  
  Operands and Expressions
- Lecture1.7
  
  Conditional Statements
- Lecture1.8
  
  Loops
- Lecture1.9
  
  Command Line Arguments
- Lecture1.10
  
  Writing to the screen
Sequences and File Operations 6

Goal: Learn different types of sequence structures, related operations, and their usage. Also learn diverse ways of opening, reading, and writing to files.
- Lecture2.1
  
  Python files I/O Functions
- Lecture2.2
  
  Lists and related operations
- Lecture2.3
  
  Tuples and related operations
- Lecture2.4
  
  Strings and related operations
- Lecture2.5
  
  Sets and related operations
- Lecture2.6
  
  Dictionaries and related operations
Deep Dive – Functions and OOPs 6

Goal: In this Module, you will learn how to create user-defined functions and different Object Oriented Concepts like Inheritance, Polymorphism, Overloading etc.
- Lecture3.1
  
  Functions
- Lecture3.2
  
  Function Parameters
- Lecture3.3
  
  Global variables
- Lecture3.4
  
  Variable scope and Returning Values
- Lecture3.5
  
  Lambda Functions
- Lecture3.6
  
  Object-Oriented Concepts
Working with Modules and Handling Exceptions 7

Goal: In this Module, you will learn how to create generic python scripts, how to address errors/exceptions in code and finally how to extract/filter content using regex.
- Lecture4.1
  
  Standard Libraries
- Lecture4.2
  
  Modules Used in Python (OS, Sys, Date and Time etc.)
- Lecture4.3
  
  The Import statements
- Lecture4.4
  
  Module search path
- Lecture4.5
  
  Package installation ways
- Lecture4.6
  
  Errors and Exception Handling
- Lecture4.7
  
  Handling multiple exceptions
Introduction to NumPy & Pandas 6

Goal: This Module helps you get familiar with the basics of statistics, different types of measures and probability distributions, and the supporting libraries in Python that assist in these operations.
- Lecture5.1
  
  NumPy – arrays
- Lecture5.2
  
  Operations on arrays
- Lecture5.3
  
  Indexing slicing and iterating
- Lecture5.4
  
  Reading and writing arrays on files
- Lecture5.5
  
  Pandas – data structures & index operations
- Lecture5.6
  
  Reading and Writing data from Excel/CSV formats into Pandas
Data Visualisation 5

Goal: In this Module, you will learn in detail about data visualization.
- Lecture6.1
  
  matplotlib library
- Lecture6.2
  
  Grids, axes, plots
- Lecture6.3
  
  Markers, colours, fonts and styling
- Lecture6.4
  
  Types of plots – bar graphs, pie charts, histograms
- Lecture6.5
  
  Contour plots
Data Manipulation 6

Goal: Through this Module, you will understand in detail about Data Manipulation.
- Lecture7.1
  
  Basic Functionalities of a data object
- Lecture7.2
  
  Merging of Data objects
- Lecture7.3
  
  Concatenation of data objects
- Lecture7.4
  
  Types of Joins on data objects
- Lecture7.5
  
  Exploring a Dataset
- Lecture7.6
  
  Analyzing a dataset
GUI Programming 12

Goal: In this module, you will learn GUI programming using ipywidgets package.
- Lecture8.1
  
  Ipywidgets package
- Lecture8.2
  
  Numeric Widgets
- Lecture8.3
  
  Boolean Widgets
- Lecture8.4
  
  Selection Widgets
- Lecture8.5
  
  String Widgets
- Lecture8.6
  
  Date Picker
- Lecture8.7
  
  Color Picker
- Lecture8.8
  
  Container Widgets
- Lecture8.9
  
  Creating a GUI Application
- Lecture8.10
  
  MySQL DB access
- Lecture8.11
  
  Network programming
- Lecture8.12
  
  Multithreading
Developing Web Maps and Representing information using Plots (Self-paced) 5

Goal: Throughout this Module, you will be designing Python Applications.
- Lecture9.1
  
  Use of Folium Library
- Lecture9.2
  
  Use of Pandas Library
- Lecture9.3
  
  Flowchart of Web Map application
- Lecture9.4
  
  Developing Web Map using Folium and Pandas
- Lecture9.5
  
  Reading information from Dataset and represent it using Plots
Computer vision using OpenCV and Visualisation using Bokeh (Self-paced) 8

Goal: Throughout this Module, you will be designing Python Applications.
- Lecture10.1
  
  Beautiful Soup Library
- Lecture10.2
  
  Requests Library
- Lecture10.3
  
  Scrap all hyperlinks from a webpage, using Beautiful Soup & Requests
- Lecture10.4
  
  Plotting charts using Bokeh
- Lecture10.5
  
  Plotting scatterplots using Bokeh
- Lecture10.6
  
  Image Editing using OpenCV
- Lecture10.7
  
  Face detection using OpenCV
- Lecture10.8
  
  Motion Detection and Capturing Video