Course Introduction

Python is arguably the first choice amongst all development languages when it comes to Artificial Intelligence. Skillknox Certified Python Programmer SK-CPP is the first in the series of courses for the Data Scientist track. The course provides a detailed understanding of Linux based Operating System & working on command line environment. Participants would learn version control, working with git & github to create and maintain repositories. This curriculum is designed to build a strong fundamentals in Python programming

Why SK-CPP

  • Strong understanding of Command Line Interface(CLI)
  • Creating & maintaining of Github repositories
  • Python Programming Fundamentals
  • Web Scraping by using Scrapy

Target Audience

This course is designed for the aspiring Data Analyst, Python Programmers, Data Scientist, ML engineers, Deep Learning Engineers

Module 01: Introduction to Linux

  • Session Management
  • System, Display, Date and Time Settings
  • Command Line Operations
  • File Operations
  • User Environment
  • Text Editors
  • Transferring Files
  • Manipulating Text

Module 02: Introduction to Git and Github

  • Basic concepts & environment setup
  • Git operations
  • Changes & fixing mistakes
  • Managing branches & Handling conflicts
  • Online repositories

Module 03: Fundamentals of Python Programming

  • Variables, expressions, and statements
  • Conditional execution
  • Functions
  • Iteration
  • Strings
  • Files
  • Lists
  • Dictionaries
  • Tuples
  • Regular expressions
  • Object-Oriented Programming
  • Using Databases and SQL

Module 04: Introduction to Python IDE

  • Jupyter Notebook
    1. Jupyter basics
    2. Magic commands
    3. Shell commands
    4. Profiling / timing
  • Spyder IDE

Module 05: Web Scraping with Scrapy

  • Why Scrapy?
  • Installation
  • How to build Scrapy Spider
  • How to solve specific issues using Scrapy

Module 06: Project

Capstone Project

40 hours of instructor led training



Module 01: Introduction to Linux

  • Session Management
  • System, Display, Date and Time Settings
  • Command Line Operations
  • File Operations
  • User Environment
  • Text Editors
  • Transferring Files
  • Manipulating Text

Module 02: Introduction to Git and Github

  • Basic concepts & environment setup
  • Git operations
  • Changes & fixing mistakes
  • Managing branches & Handling conflicts
  • Online repositories

Module 03: Fundamentals of Python Programming

  • Variables, expressions, and statements
  • Conditional execution
  • Functions
  • Iteration
  • Strings
  • Files
  • Lists
  • Dictionaries
  • Tuples
  • Regular expressions
  • Object-Oriented Programming
  • Using Databases and SQL

Module 04: Introduction to Python IDE

  • Jupyter Notebook
    1. Jupyter basics
    2. Magic commands
    3. Shell commands
    4. Profiling / timing
  • Spyder IDE

Module 05: Web Scraping with Scrapy

  • Why Scrapy?
  • Installation
  • How to build Scrapy Spider
  • How to solve specific issues using Scrapy

Module 06: Project

Capstone Project



40 hours of instructor led training


Contact Us

+91 93 848408 00

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Training Schedules

10th November 2018

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Course Curriculum

Introduction to Software Training Details FREE 00:40:00
Object Oriented Design Patterns Details 00:35:00
Software Testing Details 00:30:00
Advanced Database Development Details 00:25:00
Algorithm analysis Details 00:45:00
Multi Threading in Softwares Details 00:40:00
Managing Software Testing Details 00:20:00
The Software Quiz 00:04:00

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+91 93 848408 00


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