4.3 out of 5
4.3
1837 reviews on Udemy

Python Programming for Beginners in Data Science

This Python for beginners course teaches you "just enough" python training online with Python 3 for Data Science
Instructor:
Ajay Tech
97٬790 students enrolled
English [Auto-generated]
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

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.

Day 0 - Python Setup

1
Why Python
2
About the Course
3
Python Setup
4
Hello World in Python
5
Python IDE Setup
6
Print Hello world on the console

Day 1 - Python Basics

1
What are Variables
2
Variables - Types of Numbers
3
Variables - Strings, Boolean & Reserved Keywords
4
Variables Quiz

Quiz on variable types, variable names and variable assignment in Python

5
Variables - Quiz
6
Assign variables
7
Swap two variables in Python
8
Variables - Recap
9
Variables - Challenge - Discussion
10
Type Conversion
11
Type Conversion Quiz

Quiz questions on type conversion in python

12
Type conversion Coding Exercise
13
Correct errors in Type Conversion
14
Type Conversion Quiz Discussion
15
Arithmetic Operators
16
Comparision Operators
17
Comparison operators quiz
18
Operator Precedence
19
Operator Precedence Quiz

Operator Precedence Quiz

20
Logical Operators
21
Combine Logical operators

Day 1 (contd) - Flow Control

1
if statement
2
python blocks
3
Find out if a number is positive, negative or zero
4
nested if statement
5
elif statement
6
else statement
7
flow control quiz - discussion
8
flow control challenges - discussion
9
if statement - Find the oldest students among the three

Day 2 - Loops

1
for loop
2
Odd numbers between 1 and 20
3
While loop
4
Sum of numbers from 1 to 1000
5
Operator Precedence Exercise
6
Challenge Discussion - 1
7
Challenge Discussion - 2
8
Challenge Discussion - 3
9
for vs while loop
10
Break Statement - Theory
11
Break Statement - Program
12
for-else statement
13
Nested loops

Day 3 - Strings & Functions

1
What are Strings
2
Sub-strings
3
Split strings
4
Strip strings
5
Other String Functions
6
Cheatsheet
7
Challenges
8
Python Functions
9
Create your own Function
10
Nth Fibonacci Number
11
Sum of numbers divisible by 5 between any two given numbers
12
doc string
13
function arguments
14
Python functions - Summary
15
Python Built-in Functions
16
Python Built-in functions Summary
17
Sum of all alternate odd numbers
18
First Prime Numbers between a given range of numbers
19
Print a pattern
20
Reverse a string

Day 4 - Data Structures - Lists

1
What are Lists
2
Challenge
3
List Indexing and Merging
4
List Manipulation
5
Challenge - Average Grades v3
6
Challenge contd.
7
Challenge contd.
8
Nested Lists
9
Enumerate Lists
10
Merge and Sort Lists
11
List Slicing
12
Python Dictionary
13
get-vs-index
14
Challenge - Vowels
15
Dictionary access
16
Dictionary - Key & Value objects
17
Challenge - 1
18
Challenge - 2
19
Challenge - 2 ( contd)
20
Dictionary - Deletion

Day 5 - Data Structures (contd.)

1
Python Tuples
2
Python Tuples ( contd. )
3
Python Sets
4
Set Operations (Union, Intersection, Difference etc )
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14 hours on-demand video
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Full lifetime access
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Certificate of Completion