Python Programming for Beginners in Data Science

Python Programming for Beginners in Data Science

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Description

What you’ll learn

Learn just enough Python Programming to do Data Science, Machine Learning and Deep Learning
Have a good understanding of the core concepts of Python Programming
Form a good programming base to be able to apply it to Machine Learning Algorithms
Just enough Object Oriented Python as well

Course content
Expand all 89 lectures12:59:27
–Day 0 – Python Setup
49:10
Why Python
Preview
17:54
About the Course
Preview
05:42
Python Setup
Preview
05:07
Hello World in Python
Preview
04:44
Python IDE Setup
Preview
15:43
Print Hello world on the console
1 question
–Day 1 – Python Basics
01:46:24
What are Variables
Preview
06:06
Variables – Types of Numbers
Preview
10:33
Variables – Strings, Boolean & Reserved Keywords
Preview
09:24
Variables Quiz
4 questions
Variables – Quiz
Preview
07:21
Assign variables
1 question
Swap two variables in Python
1 question
Variables – Recap
Preview
08:45
Variables – Challenge – Discussion
Preview
04:58
Type Conversion
Preview
15:33
Type Conversion Quiz
4 questions
Type conversion Coding Exercise
1 question
Correct errors in Type Conversion
1 question
Type Conversion Quiz Discussion
Preview
06:24
Arithmetic Operators
Preview
09:54
Comparision Operators
Preview
09:38
Comparison operators quiz
3 questions
Operator Precedence
Preview
08:48
Operator Precedence Quiz
3 questions
Operator Precedence Exercise
1 question
Logical Operators
Preview
09:00
Combine Logical operators
1 question
–Day 1 (contd) – Flow Control
01:00:25
if statement
Preview
16:22
python blocks
Preview
05:47
nested if statement
Preview
07:16
elif statement
Preview
11:25
else statement
Preview
07:25
flow control quiz – discussion
Preview
04:25
flow control challenges – discussion
Preview
07:45
–Day 2 – Loops
01:36:38
for loop
Preview
05:51
While loop
Preview
19:43
Challenge Discussion – 1
Preview
03:24
Challenge Discussion – 2
Preview
11:35
Challenge Discussion – 3
Preview
02:15
for vs while loop
Preview
05:07
Break Statement – Theory
Preview
06:11
Break Statement – Program
Preview
25:14
Break Statement – Program Execution
Preview
02:30

for-else statement
Preview
06:23
Nested loops
Preview
08:25
–Day 3 – Strings & Functions
01:56:37
What are Strings
Preview
06:31
Sub-strings
Preview
04:04
Split strings
Preview
04:05
Strip strings
Preview
07:40
Other String Functions
Preview
09:21
Cheatsheet
Preview
07:49
Challenges
Preview
18:23
Python Functions
Preview
07:27
Create your own Function
Preview
06:08
doc string
Preview
08:03
function arguments
Preview
10:29
Python functions – Summary
Preview
06:26
Python Built-in Functions
16:42
Python Built-in functions Summary
03:29
–Day 4 – Data Structures – Lists
02:28:09
What are Lists
Preview
14:08
Challenge
Preview
07:12
List Indexing and Merging
Preview
04:16
List Manipulation
Preview
09:25
Challenge – Average Grades v3
Preview
15:57
Challenge contd.
Preview
14:38
Challenge contd.
Preview
03:48
Nested Lists
Preview
03:50
Enumerate Lists
Preview
07:24
Merge and Sort Lists
Preview
03:14
List Slicing
Preview
04:04
Python Dictionary
Preview
10:07
get-vs-index
Preview
01:42
Challenge – Vowels
Preview
05:25
Dictionary access
Preview
01:42
Dictionary – Key & Value objects
Preview
12:25
Challenge – 1
Preview
06:58
Challenge – 2
Preview
03:30
Challenge – 2 ( contd)
Preview
10:45
Dictionary – Deletion
Preview
07:39
–Day 5 – Data Structures (contd.)
01:06:23
Python Tuples
17:21
Python Tuples ( contd. )
13:46
Python Sets
14:17
Set Operations (Union, Intersection, Difference etc )
13:17
Python Sets – (contd)
04:17
Python Sets – Summary
03:25
–Day 6 – Object Oriented Python
29:32
What is Object Oriented Python
11:30
Write your first Python Class
09:43
Attributes & Methods in a class
08:19
–Day 7 – I/O & Exceptions
28:25
I/O – Input / Output
08:02
I/O – contd.
06:14
Exceptions
14:09
–Day 8 – Python Standard Library
01:17:44
Date Object
16:35
Quiz Discussion
02:48
Time delta
12:57
Time
09:38
Date time
05:38
File Operations – Read files
11:55
File operations – Write & Append files
11:38
File Operations – Exception Handling
06:35
Requirements

None in general – This is a beginner’s course
A PC or Mac with good internet connections.
All required software (like Python executable, IDE etc) can be downloaded
Enough enthusiasm to learn the course through its quizzes and exercises.

Description

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.

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 Python Programming 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

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