The 2024 Data & Cloud Mastery Course Bundle

5 Courses & 73.5 Hours
$29.99$199.95
You save 85%

What's Included

  • Experience level required: All levels
  • Access 73 lectures & 15 hours of content 24/7
  • Length of time users can access this course: Lifetime

Course Curriculum

73 Lessons (15h)

  • Google Colab
  • How to read a file in Google Colab
  • Anaconda Installation
  • How to read a file in Jupyter Notebook
  • Introduction to Sets
  • Introduction to Lists
  • Introduction to Dictionaries
  • Introduction to Recursion
  • Introduction to Tuples
  • Introduction to Web Scrapping
  • Accessing Arrays
  • Accessing and Methods in Tuples
  • Accessing Dictionaries
  • Accessing Lists
  • Axis-Wise Operations
  • Beautiful Soup Introduction and Explanation
  • Beautiful Soup GetElementsBy Id and Multiple Tag
  • Boolean Indexing
  • Break and Continue Statement
  • Broadcasting and Stacking
  • Classes & Instances
  • Classes & Instances Creation
  • Conditionals
  • Constructors or Instantiators
  • Creating Arrays
  • Creating Dictionaries
  • Creating Lists
  • Creating Sets
  • Creating Tuples
  • Data Structures - Scalars, Vectors, and Matrix
  • Data Structures
  • Data Types - Integer
  • Data Types - Boolean
  • Data Types - Float
  • Data Types - String
  • Elementwise Operations
  • Else & Elif Statement
  • Expression Evaluation
  • For Loop with Range
  • For Loop with Variables
  • Functions
  • Functions in Numpy
  • Functions with Arguments
  • Functions with Multiple Arguments
  • Functions without Arguments
  • If Statements
  • Indexing and Slicing In Strings
  • Inheritance
  • Input, Output and Formatting
  • Jupyterv2
  • Logical Operations in Conditionals
  • Loops
  • Methods In Dictionaries
  • Methods In List
  • Methods In Sets
  • Nested If Statements
  • Numerical Python
  • Polymorphism
  • PyMySQL Introduction
  • PyMySQL
  • Python Request Library
  • Python Properties and Applications
  • Recursion - Summation Function Part 1
  • Recursionipynb - Summation Function Part 2
  • Recursion- Base Case
  • Regular Expressions
  • Scope of a Function
  • Single and Multi-Line Commenting
  • String Access Using Loops
  • The Self Method
  • Understanding Programming
  • Variables and Values
  • While
  • Quiz

Efficient Coding in Python

GI
GreyCampus Inc.

GreyCampus | EdTech Platform

4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★

 

GreyCampus helps people power their careers through skills and certifications. They strongly advocate for continuous upskilling and the acquisition of certifications as crucial to maintaining long-term success in one's career. As older skills rapidly lose relevance, the demand for newer, sought-after skills is rapidly increasing. GreyCampus firmly believes that staying skilled will keep you ahead in your career.

 

Description

Master Python Techniques for Efficient Programming

This course is designed to help you master the art of writing optimized and elegant Python code. You’ll start by learning the basics, such as using Python IDEs and understanding fundamental programming concepts like data types, conditional statements, and loops. As you advance, you'll explore functions, recursion, regular expressions, and data structures. The course also covers arrays and introduces you to the powerful NumPy library, ensuring you have the tools to apply efficient coding techniques in real-world Python projects.

 

What you'll learn

  • Access 73 lectures & 15 hours of content 24/7
  • Learn file handling in Google Colab and Jupyter Notebook
  • Install and set up Anaconda for Python development
  • Master Python data structures: lists, dictionaries, sets, and tuples
  • Understand recursion and apply it in real-world coding scenarios
  • Perform web scraping with Beautiful Soup
  • Explore advanced Python features: boolean indexing, broadcasting, and stacking
  • Master control flow with conditionals, loops, and recursion
  • Dive into object-oriented programming: classes, instances, and inheritance
  • Use PyMySQL for database management in Python
  • Perform operations using NumPy for numerical computing
  • Work with regular expressions, string manipulation, and functional programming

Who is this course for

  • Anyone looking to learn Python from scratch or enhance their existing skills
  • Anyone interested in mastering data structures and algorithms in Python
  • Anyone who wants to explore web scraping and database management using Python

Specs

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels
  • Certificate of Completion ONLY
  • Updates included
  • Closed captioning NOT available
  • NOT downloadable for offline viewing
  • Have questions on how digital purchases work? Learn more here

 

Requirements

  • No prior programming experience is required, but familiarity with basic concepts may be helpful

     

Terms

  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
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