Intermediate Python

Python Intermediate

Overview

Empower your career journey with our in-demand course: Intermediate Python

Boost your proficiency and propel your career forward with our meticulously crafted course, designed to be your ultimate guide to professional development. Our super-accessible modules break down complex topics into bite-sized, easy-to-understand lessons, filling your knowledge gaps and equipping you with real-world, practical skills.

Seeking career advancement and application of your skills? You’ve found the right place. This Intermediate Python is your exclusive passport to unlocking your full potential.

Enroll today and enjoy:

This sought-after course is your key to a successful and lucrative career. Don’t miss out on this transformative opportunity. Enroll now and take your professional life to the next level!

Course design

The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.

You are taught through a combination of

Exam & Retakes

It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable.

Certification

Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery).

Course Curriculum

Module 01: Python basic recap
Variables and data types 00:11:00
Data structures 00:11:00
Set methods(add, copy, union, intersection, difference etc) 00:08:00
Dict methods(keys, values, items, get, setDefault etc) 00:05:00
Complex structures(list of lists, list of dicts, dict of lists etc) 00:05:00
Conditional statements 00:06:00
Loops in python 00:08:00
Functions in python 00:05:00
Exercise 00:06:00
Module 02: Deep dive into Loops
Iterating through list,dictionaries, set 00:11:00
Zip and enumerate 00:13:00
List comprehension 00:09:00
Nested loops 00:07:00
Big O notation and space-time trade-off 00:16:00
Exercise 00:08:00
Module 03: Deep dive into functions
Scope in python (local scope, global scope) 00:10:00
Passing multiple arguments(*args, **kwargs) 00:09:00
Returning multiple values 00:08:00
Lambda functions 00:05:00
Map, apply, filter,reduce 00:08:00
Callbacks 00:05:00
Nested functions 00:05:00
Recursion 00:07:00
Exercise 00:10:00
Module 04: OOP concepts
What is Class 00:12:00
Creating an empty Class in Python 00:06:00
Creating an object 00:08:00
Creating a class and object with class and instance attributes 00:08:00
Attributes and methods 00:08:00
Creating modules and importing them 00:08:00
Exercise 00:17:00
Module 05: Built-in modules
Math module(pi, sqrt, pow, exp, log, Trigonometric functions) 00:08:00
Re module(findall, search, split, sub) 00:10:00
OS module(mkdir, chdir, getcwd,rmdir,listdir) 00:10:00
Random(choice, shuffle, random, randint,randrange) 00:06:00
Time module(time, sleep, localtime, ctime,asctime) 00:06:00
Collections module(namedtuple,OrderedDict,deque) 00:09:00
Itertools module(chain.from_iterable, combinations,combinations_with_replacement,permutations) 00:06:00
Exercise 00:18:00
Module 06: File and Exception Handling
Reading from a file 00:11:00
Writing to a file 00:07:00
Common exceptions 00:06:00
ZerodivisionError 00:06:00
FileNotFoundError 00:04:00
TypeError 00:04:00
IndexingError 00:04:00
Exercise 00:05:00
Module 07: Using python packages(Numpy)
Packages vs modules 00:10:00
Installing a python package 00:06:00
Using the objects of the package 00:14:00
Intro to numpy 00:07:00
Creating arrays using numpy 00:08:00
Exercise 00:07:00
Capstone Project:
Creating a tic-tac-toe app in notebook (topics: conditions, loops, OOP) 01:00:00
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With a team of industry professionals producing and delivering our course content, you can be sure the skills and knowledge you learn are applicable to your career aspirations, whether that’s in management, administration or beyond.

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