Python Programming Certification Course
Overview
Learn Python programming from scratch through Trainingprotec’s Python programming certification course. This Python Course will help you master important Python programming concepts such as data & file operations in Python, object-oriented concepts in Python & various Python libraries such as Pandas, Numpy, Matplotlib, and so on. This Python certification course is also a gateway towards your Data Science career. The course is curated by industry experts which includes real-time case studies.
Section 1Introduction to Python
Lecture 1Overview of Python
Lecture 2 Companies using Python
Lecture 3Other applications in which Python is used
Lecture 4Discuss Python Scripts on UNIX/Windows
Lecture 5 Variables
Lecture 6 Operands and Expressions
Lecture 7 Conditional Statements
Lecture 8 Loops
Lecture 9 Command Line Arguments
Lecture 10 Writing to the screen
Section 2Sequences and File Operations
Lecture 11 Python files I/O Functions
Lecture 12 Lists and related operations
Lecture 13 Tuples and related operations
Lecture 14 Strings and related operations
Lecture 15 Sets and related operations
Lecture 16 Dictionaries and related operations
Section 3Deep Dive – Functions and OOPs
Lecture 17 Functions
Lecture 18 Function Parameters
Lecture 19 Global variables
Lecture 20 Variable scope and Returning Values
Lecture 21 Lambda Functions
Lecture 22 Object-Oriented Concepts
Section 4 Working with Modules and Handling Exceptions
Lecture 23 Standard Libraries
Lecture 24Modules Used in Python (OS, Sys, Date and Time etc.)
Lecture 25The Import statements
Lecture 26Module search path
Lecture 27 Package installation ways
Lecture 28 Errors and Exception Handling
Lecture 29 Handling multiple exceptions
Section 5 Introduction to NumPy & Pandas
Lecture 30NumPy – arrays
Lecture 31 Operations on arrays
Lecture 32 Indexing slicing and iterating
Lecture 33Reading and writing arrays on files
Lecture 34 Pandas – data structures & index operations
Lecture 35 Reading and Writing data from Excel/CSV formats into Pandas
Section 6Data Visualisation
Lecture 36matplotlib library
Lecture 37Grids, axes, plots
Lecture 38Markers, colours, fonts and styling
Lecture 39 Types of plots – bar graphs, pie charts, histograms
Lecture 40Contour plots
Section 7Data Manipulation
Lecture 41Basic Functionalities of a data object
Lecture 42 Merging of Data objects
Lecture 43Concatenation of data objects
Lecture 44 Types of Joins on data objects
Lecture 45 Exploring a Dataset
Lecture 46 Analyzing a dataset
Section 8GUI Programming
Lecture 47Ipywidgets package
Lecture 48 Numeric Widgets
Lecture 49 Boolean Widgets
Lecture 50 Selection Widgets
Lecture 51 String Widgets
Lecture 52Date Picker
Lecture 53 Color Picker
Lecture 54Container Widgets
Lecture 55Creating a GUI Application
Lecture 56 MySQL DB access
Lecture 57 Network programming
Lecture 58Multithreading
Section 9Developing Web Maps and Representing information using Plots (Self-paced)
Lecture 59 Use of Folium Library
Lecture 60 Use of Pandas Library
Lecture 61 Flowchart of Web Map application
Lecture 62 Developing Web Map using Folium and Pandas
Lecture 63Reading information from Dataset and represent it using Plots
Section 10 Computer vision using OpenCV and Visualisation using Bokeh (Self-paced)
Lecture 64Beautiful Soup Library
Lecture 65 Requests Library
Lecture 66Scrap all hyperlinks from a webpage, using Beautiful Soup & Requests
Lecture 67 Plotting charts using Bokeh
Lecture 68 Plotting scatterplots using Bokeh
Lecture 69Image Editing using OpenCV
Lecture 70 Face detection using OpenCV
Lecture 71Motion Detection and Capturing Video
