Python Programming for Beginners in Data Science

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Python Programming for Beginners in Data Science

ypes of Numbers ypes of Numbers
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10:33 10:33
Variables – Strings, Boolean & Reserved Keywords Variables – Strings, Boolean & Reserved Keywords
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09:24 09:24
Variables Quiz Variables Quiz
4 questions 4 questions
Variables – Quiz Variables – Quiz
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07:21 07:21
Assign variables Assign variables
1 question 1 question
Swap two variables in Python Swap two variables in Python
1 question 1 question
Variables – Recap Variables – Recap
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08:45 08:45
Variables – Challenge – Discussion Variables – Challenge – Discussion
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04:58 04:58
Type Conversion Type Conversion
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Type Conversion Quiz Type Conversion Quiz
4 questions 4 questions
Type conversion Coding Exercise Type conversion Coding Exercise
1 question 1 question
Correct errors in Type Conversion Correct errors in Type Conversion
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Type Conversion Quiz Discussion Type Conversion Quiz Discussion
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Arithmetic Operators Arithmetic Operators
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Comparision Operators Comparision Operators
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Comparison operators quiz Comparison operators quiz
3 questions 3 questions
Operator Precedence Operator Precedence
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Operator Precedence Quiz Operator Precedence Quiz
3 questions 3 questions
Operator Precedence Exercise Operator Precedence Exercise
1 question 1 question
Logical Operators Logical Operators
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Combine Logical operators Combine Logical operators
1 question 1 question
-Day 1 (contd) – Flow Control -Day 1 (contd) – Flow Control
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if statement if statement
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python blocks python blocks
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nested if statement nested if statement
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elif statement elif statement
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else statement else statement
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flow control quiz – discussion flow control quiz – discussion
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flow control challenges – discussion flow control challenges – discussion
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-Day 2 – Loops -Day 2 – Loops
01:36:38 01:36:38
for loop for loop
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While loop While loop
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Challenge Discussion – 1 Challenge Discussion – 1
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Challenge Discussion – 2 Challenge Discussion – 2
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Challenge Discussion – 3 Challenge Discussion – 3
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for vs while loop for vs while loop
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Break Statement – Theory Break Statement – Theory
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Break Statement – Program Break Statement – Program
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Break Statement – Program Execution Break Statement – Program Execution
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Get Get Python Programming for Beginners in Data Science download
for-else statement for-else statement
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Nested loops Nested loops
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-Day 3 – Strings & Functions -Day 3 – Strings & Functions
01:56:37 01:56:37
What are Strings What are Strings
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06:31 06:31
Sub-strings Sub-strings
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Split strings Split strings
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Strip strings Strip strings
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Other String Functions Other String Functions
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Cheatsheet Cheatsheet
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07:49 07:49
Challenges Challenges
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18:23 18:23
Python Functions Python Functions
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07:27 07:27
Create your own Function Create your own Function
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06:08 06:08
doc string doc string
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08:03 08:03
function arguments function arguments
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Python functions – Summary Python functions – Summary
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Python Built-in Functions Python Built-in Functions
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Python Built-in functions Summary Python Built-in functions Summary
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-Day 4 – Data Structures – Lists -Day 4 – Data Structures – Lists
02:28:09 02:28:09
What are Lists What are Lists
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14:08 14:08
Challenge Challenge
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07:12 07:12
List Indexing and Merging List Indexing and Merging
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List Manipulation List Manipulation
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Challenge – Average Grades v3 Challenge – Average Grades v3
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Challenge contd. Challenge contd.
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Challenge contd. Challenge contd.
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Nested Lists Nested Lists
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Enumerate Lists Enumerate Lists
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Merge and Sort Lists Merge and Sort Lists
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03:14 03:14
List Slicing List Slicing
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04:04 04:04
Python Dictionary Python Dictionary
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10:07 10:07
get-vs-index get-vs-index
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01:42 01:42
Challenge – Vowels Challenge – Vowels
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05:25 05:25
Dictionary access Dictionary access
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01:42 01:42
Dictionary – Key & Value objects Dictionary – Key & Value objects
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12:25 12:25
Challenge – 1 Challenge – 1
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06:58 06:58
Challenge – 2 Challenge – 2
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Challenge – 2 ( contd) Challenge – 2 ( contd)
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Dictionary – Deletion Dictionary – Deletion
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-Day 5 – Data Structures (contd.) -Day 5 – Data Structures (contd.)
01:06:23 01:06:23
Python Tuples Python Tuples
17:21 17:21
Python Tuples ( contd. ) Python Tuples ( contd. )
13:46 13:46
Python Sets Python Sets
14:17 14:17
Set Operations (Union, Intersection, Difference etc ) Set Operations (Union, Intersection, Difference etc )
13:17 13:17
Python Sets – (contd) Python Sets – (contd)
04:17 04:17
Python Sets – Summary Python Sets – Summary
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-Day 6 – Object Oriented Python -Day 6 – Object Oriented Python
29:32 29:32
What is Object Oriented Python What is Object Oriented Python
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Write your first Python Class Write your first Python Class
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Attributes & Methods in a class Attributes & Methods in a class
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-Day 7 – I/O & Exceptions -Day 7 – I/O & Exceptions
28:25 28:25
I/O – Input / Output I/O – Input / Output
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I/O – contd. I/O – contd.
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Exceptions Exceptions
14:09 14:09
-Day 8 – Python Standard Library -Day 8 – Python Standard Library
01:17:44 01:17:44
Date Object Date Object
16:35 16:35
Quiz Discussion Quiz Discussion
02:48 02:48
Time delta Time delta
12:57 12:57
Time Time
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Date time Date time
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File Operations – Read files File Operations – Read files
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File operations – Write & Append files File operations – Write & Append files
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File Operations – Exception Handling File Operations – Exception Handling
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Requirements Requirements

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

DescriptionDescription

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.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.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 –

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

Loops – for & while loops , nested loops, for else loopsLoops – for & while loops , nested loops, for else loops

Strings, built-in and user defined functionsStrings, built-in and user defined functions

Data Structures – Lists, Dictionaries, Tuples, SetsData Structures – Lists, Dictionaries, Tuples, Sets

Object Oriented PythonObject Oriented Python

I/O, exceptionsI/O, exceptions

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

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

What about Data Science & Machine Learning ?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.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 ?Who this course is not for ?

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

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

Free PreviewFree 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.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: Who this course is for:

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

GetGet Python Programming for Beginners in Data Science download

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