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.

• 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