The 2026 Data & Cloud Mastery Course Bundle

5 Courses & 73.5 Hours
Deal Price$29.99
Suggested Price
$199.95
You save 85%
The 2026 Data & Cloud Mastery Course Bundle
$29.99$199.9585% OFF

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)

  • Your First Program

  • Google Colab - Part 117:36
    Google Colab - Part 24:43
  • How to read a file in Google Colab4:51
  • Anaconda Installation - 6: 53
  • How to read a file in Jupyter Notebook3:57
  • Introduction to Sets6:23
  • Introduction to Lists6:37
  • Introduction to Dictionaries9:01
  • Introduction to Recursion4:19
  • Introduction to Tuples6:18
  • Introduction to Web Scrapping16:42
  • Accessing Arrays6:36
  • Accessing and Methods in Tuples7:26
  • Accessing Dictionaries4:45
  • Accessing Lists8:03
  • Axis-Wise Operations4:56
  • Beautiful Soup Introduction and Explanation20:37
  • Beautiful Soup GetElementsBy Id and Multiple Tag - Part 110:23
    Beautiful Soup GetElementsBy Id and Multiple Tag - Part 226:53
    Beautiful Soup GetElementsBy Id and Multiple Tag - Part 316:24
    Beautiful Soup GetElementsBy Id and Multiple Tag - Part 415:32
  • Boolean Indexing5:17
  • Break and Continue Statement9:58
  • Broadcasting and Stacking9:14
  • Classes & Instances10:17
  • Classes & Instances Creation12:13
  • Conditionals8:18
  • Constructors or Instantiators8:32
  • Creating Arrays9:25
  • Creating Dictionaries8:44
  • Creating Lists8:48
  • Creating Sets4:07
  • Creating Tuples4:57
  • Data Structures - Scalars, Vectors, and Matrix10:41
  • Data Structures6:52
  • Data Types - Integer
  • Data Types - Boolean7:37
  • Data Types - Float5:19
  • Data Types - String11:28
  • Elementwise Operations6:42
  • Else & Elif Statement8:52
  • Expression Evaluation12:39
  • For Loop with Range11:06
  • For Loop with Variables6:28
  • Functions10:13
  • Functions in Numpy8:55
  • Functions with Arguments8:09
  • Functions with Multiple Keyword Arguments8:53
  • Functions without Arguments9:14
  • If Statements8:31
  • Indexing and Slicing In Strings13:54
  • Inheritance8:28
  • Input, Output and Formatting11:14
  • Jupyterv25:33
  • Logical Operations in Conditionals11:20
  • Loops5:02
  • Methods In Dictionaries14:00
  • Methods In List - Part 113:06
    Methods In List - Part 210:11
  • Methods In Sets - Part 18:26
    Methods In Sets - Part 27:29
  • Nested If Statements14:03
  • Numerical Python6:17
  • Polymorphism7:17
  • PyMySQL Introduction10:56
  • PyMySQL - Part 142:19
    PyMySQL - Part 251:25
    PyMySQL - Part 340:34
  • Python Request Library10:45
  • Python Properties and Applications18:08
  • Recursion - Summation Function Part 15:13
  • Recursionipynb - Summation Function Part_24:58
  • Recursion- Base Case5:13
  • Regular Expressions34:45
  • Scope of a Function7:08
  • Single and Multi-Line Commenting6:51
  • String Access Using Loops7:14
  • The Self Method6:09
  • Understanding Programming15:18
  • Variables and Values9:42
  • While8:46
  • 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 about digital products
  • Learn more about what lifetime access means!

 

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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