Python Programming Certification Course

360-degree knowledge of Python programming language

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Key Highlights

  • 24 Hours of Case Studies on Real-life Scenarios
  • 8 Sessions of 3 hours each on weekends
  • 12 Sessions of 2 hours each on weekdays
  • Practical Assignments
  • Lifetime Access to Learning Management System
  • 24x7 Expert Support
  • Course Completion Certificate
  • Online Forum for Discussions

Course Price Range

$349.00 - $389.00 $700.00 - $800.00

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1866-216-7898

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Available Courses Delivery

This course is available in the following formats:

Virtual Live

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Nov 29th
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Delivery: Online
Access: Lifetime
Fri - Sat (4 Weeks)
Timings - 08:30 PM to 11:30 PM (EST)

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Course Overview

This course is designed to train learners in Python programming concepts, such as, Data & file operations in Python, Object-oriented concepts in Python, and various Python libraries. It educates about different types of data, data visualization, python scripting, and iPython notebooks.

Course Objectives

  • Educate about data visualization
  • Train in writing Python scripts and unit test code
  • Teach about downloading and analyzing data
  • Acquaint learners with various techniques to handle different types of data
  • Introduction to numerous types of data-Ordinal, Categorical, and Encoding
  • Educate about iPython notebooks
  • Establish proficiency in presenting step-by-step data analysis

Career Benefits

  • Better remuneration as a Python Expert
  • Demonstrate expertise in Data Science field
  • Multi-industry opportunities

Prerequisites

  • Prior knowledge of Computer Programming terminologies

Who should take up?

  • Project Managers
  • Business Analysts
  • Business Intelligence Managers
  • Statisticians and Analysts
  • Data Scientists
  • Data Analysts
  • Programmers
  • Developers
  • Technical Leads
  • Architects

Course Content

  • Overview of Python
  • The Companies using Python
  • Other applications in which Python is used
  • Discuss Python Scripts on UNIX/Windows
  • Variables
  • Operands and Expressions
  • Conditional Statements
  • Loops
  • Command Line Arguments
  • Writing to the screen
  • Python files I/O Functions
  • Lists and related operations
  • Tuples and related operations
  • Strings and related operations
  • Sets and related operations
  • Dictionaries and related operations
  • Functions
  • Function Parameters
  • Global variables
  • Variable scope and Returning Values
  • Lambda Functions
  • Object-Oriented Concepts
  • Standard Libraries
  • Modules Used in Python (OS, Sys, Date and Time etc.)
  • The Import statements
  • Module search path
  • Package installation ways
  • Errors and Exception Handling
  • Handling multiple exceptions
  • NumPy - arrays
  • Operations on arrays
  • Indexing slicing and iterating
  • Reading and writing arrays on files
  • Pandas - data structures & index operations
  • Reading and Writing data from Excel/CSV formats into Pandas
  • matplotlib library
  • Grids, axes, plots
  • Markers, colours, fonts and styling
  • Types of plots - bar graphs, pie charts, histograms
  • Contour plots
  • Basic Functionalities of a data object
  • Merging of Data objects
  • Concatenation of data objects
  • Types of Joins on data objects
  • Exploring a Dataset
  • Analyzing a dataset
  • GUI Programming
  • Ipywidgets package
  • Numeric Widgets
  • Boolean Widgets
  • Selection Widgets
  • String Widgets
  • Date Picker
  • Color Picker
  • Container Widgets
  • Creating a GUI Application
  • MySQL DB access
  • Network programming
  • Multithreading
  • Use of Folium Library
  • Use of Pandas Library
  • Flowchart of Web Map application
  • Developing Web Map using Folium and Pandas
  • Reading information from Dataset and represent it using Plots
  • Beautiful Soup Library
  • Requests Library
  • Scrap all hyperlinks from a webpage, using Beautiful Soup & Requests
  • Plotting charts using Bokeh Plotting scatterplots using Bokeh
  • Image Editing using OpenCV
  • Face detection using OpenCV
  • Motion Detection and Capturing Video

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