Udemy - "Just enough" Python Programming for Beginners ...

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Udemy - "Just enough" Python Programming for Beginners ...

https://www.udemy.com/course/just-enough-python/

Data Science, Machine Learning, Deep Learning & AI are hot areas right now. But to learn these, for some of us programming is a bit of a problem. Not all of us are from a programming background. Or some come from a Java background and might not know Python.

Udemy - "Just enough" Python Programming for Beginners ...

https://www.udemy.com/course/just-enough-python/

Data Science, Machine Learning, Deep Learning & AI are hot areas right now. But to learn these, for some of us programming is a bit of a problem. Not all of us are from a programming background. Or some come from a Java background and might not know Python.

Description

These days, Python is the de-facto ( almost ) programming language for Data Science. So, to fill that gap, we have created a course that covers just enough Python for you to start up and running with any of you the Machine learning algorithms you are interested in.

Python Programming -

Python programming is one of the core skills required for any Data Scientist. However, not all wanna-be data scientists have the required programming background let alone Python skills. This Python online training program is designed to let you start all the way from the basics. It teaches you the basic skills in python. Here are some of the topics we will discuss in the course. You don't have to understand these topics just yet. The listing is to just give a good inventory of the topics that we will be covering in this Python course.

variables, type conversions, flow control, operators &Expressions.

Loops - for & while loops , nested loops, for else loops

Strings, built-in and user defined functions

Data Structures - Lists, Dictionaries, Tuples, Sets

Object Oriented Python

I/O, exceptions

Standard library - date/time, file I/O, math, statistics &random numbers.

For any data scientist, these are the absolute essentials of python.

What about Data Science &Machine Learning ?

This course does NOT teach you data science or machine learning. Python is a broad purpose programming langauge. It can be used for a variety of purposes like building websites, process automation, devops, Data science etc. However, this Python programming course is designed specifically to cater to the needs of the Machine Learning or Data Science learner. By the end of this course, you will be in a good position to apply your python skills to apply to any of the Machine Learning or Data Science algorithms in Python.

Who this course is not for ?

Although most newbies or experienced folks will benefit from this course, it is not suitable for

those experienced in Python already.

those who already have some Python programming experience, but wish to learn more about its application in Data Science or Machine learning.

Free Preview

We have deliberately kept quite a number of videos for free preview. Hopefully, this will enable you to judge our PythonProgramming course before you take it. Either way, Udemy's 30 day return program will hopefully help you with a refund in case you don't like the course. However, we are absolutely positive you will like the course.
Who this course is for:

Non-Programmers interested to learn Python as their first language
Non-Python Programmers interested in learning Python for Machine Learning and Data Science

Course content

Day 0 - Python Setup
Why Python
About the Course
Python Setup
Hello World in Python
Python IDE Setup
Day 1 - Python Basics
What are Variables
Variables - Types of Numbers
Variables - Strings, Boolean & Reserved Keywords
Variables - Quiz
Variables - Recap
Variables - Challenge - Discussion
Type Conversion
Type Conversion Quiz
Type Conversion Quiz Discussion
Arithmetic Operators
Comparision Operators
Operator Precedence
Logical Operators
Day 1 (contd) - Flow Control
if statement
python blocks
nested if statement
elif statement
else statement
flow control quiz - discussion
flow control challenges - discussion
Day 2 - Loops
for loop
While loop
Challenge Discussion - 1
Challenge Discussion - 2
Challenge Discussion - 3
for vs while loop
Break Statement - Theory
Break Statement - Program
Break Statement - Program Execution
for-else statement
Nested loops
Day 3 - Strings & Functions
What are Strings
Sub-strings
Split strings
Strip strings
Other String Functions
Cheatsheet
Challenges
Python Functions
Create your own Function
doc string
function arguments
Python functions - Summary
Python Built-in Functions
Python Built-in functions Summary
Day 4 - Data Structures - Lists
What are Lists
Challenge
List Indexing and Merging
List Manipulation
Challenge - Average Grades v3
Challenge contd.
Challenge contd.
Nested Lists
Enumerate Lists
Merge and Sort Lists
List Slicing
Python Dictionary
get-vs-index
Challenge - Vowels
Dictionary access
Dictionary - Key & Value objects
Challenge - 1
Challenge - 2
Challenge - 2 ( contd)
Dictionary - Deletion
Day 5 - Data Structures (contd.)
Python Tuples
Python Tuples ( contd. )
Python Sets
Set Operations (Union, Intersection, Difference etc )
Python Sets - (contd)
Python Sets - Summary
Day 6 - Object Oriented Python
What is Object Oriented Python
Write your first Python Class
Attributes & Methods in a class
Day 7 - I/O & Exceptions
I/O - Input / Output
I/O - contd.
Exceptions
Day 8 - Python Standard Library
Date Object
Quiz Discussion
Time delta
Time
Date time
File Operations - Read files
File operations - Write & Append files
File Operations - Exception Handling


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