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      • Python Programming Certification Course

      Python Programming Certification Course

      User Avatar
      sunny
      Programming and Frameworks, Trending
      $349.00
      python programing
      • Overview
      • Schedule
      • Curriculum
      • Features
      • FAQs

      Learn Python programming from scratch through Pinnacledu’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.

      Course Features

      • Lectures 71
      • Quizzes 0
      • Duration 50 hours
      • Skill level All levels
      • Language English
      • Students 79362
      • Assessments Yes
      CoursesTrendingPython Programming Certification Course
      • Introduction to Python

        Goal: Give a brief idea of what Python is and touch on the basics.

        10
        • 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

        Goal: Learn different types of sequence structures, related operations, and their usage. Also learn diverse ways of opening, reading, and writing to files.

        6
        • 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

        Goal: In this Module, you will learn how to create user-defined functions and different Object Oriented Concepts like Inheritance, Polymorphism, Overloading etc.

        6
        • 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

        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.

        7
        • 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

        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.

        6
        • 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

        Goal: In this Module, you will learn in detail about data visualization.

        5
        • 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

        Goal: Through this Module, you will understand in detail about Data Manipulation.

        6
        • 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

        Goal: In this module, you will learn GUI programming using ipywidgets package.

        12
        • 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)

        Goal: Throughout this Module, you will be designing Python Applications.

        5
        • 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)

        Goal: Throughout this Module, you will be designing Python Applications.

        8
        • 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
      • Overview
      • Schedule
      • Curriculum
      • Features
      • FAQs
      $349.00
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