PYTHON COURSE WITH ANALYSIS

Overview: Python Course with Data Analysis

Python

1. How non-programmers can learn programming
• Differences between normal language and programming language
• Introduction to Python Programming language
• Features of python
• Differences between python and other programming languages
• Installation of python in windows
• Usage of python in the cloud
• Writing the first program in the python
• Usage of python in ide
• Difference between compiler and interpreter

2. Data types In python
• Strings
• Integers
• Floats
• Booleans

3. Sequences
• List
• Dictionaries
• Sets
• Tuples

4. Operators
• Arithmetic operators
• Comparison operators
• Logical Operators
• Assignment operators
• Identity operators
• Membership operators
• Input statements
• Output statements
• Print function
• Return function

5. Control Statements
• If statement
• IF else statement
• If elif else statement
• Nested IF
• Loops

6. While loop
• Infinite looping
• Changing infinite loop to finite loop
• Application of all while, if, else statement in one syntax
• Break statement
• Continue statement
• Pass statement
• Assert statement

7. For loop
• Applications of for loop

8. Functions
•  Difference between built-ins and user defined function
• Defining a function
• Calling a function
• Arguments
• Positional arguments
• Default arguments
• Keyword arguments
• Local and global variables
• Anonymous function/Lambda function

9. Decorators

10. Methods in the list

11. Methods in the dictionaries

12. Methods in the sets and tuples

13. Introduction to oops
• Difference between object oriented and procedural oriented programming
• Features of OOPs
• Classes
• Defining classes
• Objects
• Methods
• Attributes
• Features of OOPS
• Encapsulation
• Abstraction
• Inheritance
• Polymorphism

14. Exceptions and Handling
• Types of errors
• Exceptions
• Try clause
• Except clause
• User creation errors and Built in errors
• Try Except and else Statement

15. File Handling
• Types of Files in Python
• Opening a File
• Closing a File
• With statement
• Working with text files containing Strings

16. Modules or libraries
• Installation Libraries in Python
• Loading the Library into the Working memory
• Creating a own module /Library
• Accessing the other libraries

17. Threading
• Multithreading
• Creating a thread with a method, class and function

Data Analysis

1. Data creation
• NumPy
• Applications of linear algebra
• Matrices applications

2. Data wrangling
• Import data into python in different forms
• Connecting MySQL with python
• Executing sql commands through python
• Data Frame Operations
• Series Operations
• Addition of rows and columns to the data
• Deletion of rows and columns of the data
• Manipulation of data in the columns
• Indexation, Conditional indexation
• Group by operations
• Merging and concatenation of two data frames

3. Data Visualization
• Plotting Data into lines Format
• Plotting Pie chart
• Plotting Histogram
• Multiple Plots in One Graph