Python for Data Analysis
If you are looking for a very comprehensive yet explanatory course on Python for data analysis, then this is the course for you. This course is all-encompassing and covers training in various aspects of Python as it relates to data analysis such as Python booleans, casting, python numbers, python loops, python sets, file handling, python modules, and lots more. This training is suitable for beginners as well as those with advanced level Python competence.
Python Crash Course – Part 1
Python Syntax
Python Comments
Python Variables
Python Data Types
Python Numbers
Python Casting
Python Strings
Python Booleans
Python Operators
Python Lists
Python Crash Course – Part 2
Python Tuples
Python Sets
Python Dictionaries
Python If…Else
Python While Loops
Python for Loops
Python Functions
Python Lambda
Python Arrays
Python Classes/Objects
Python Inheritance
Python Crash Course – Part 3
Python Iterators
Python Scope
Python Modules
Python Dates
Python Math
Python JSON
Python RegEx
Python PIP
Python Try…Except
Python User Input
Python String Formatting
File Handling
Python File Handling
Python Read Files
Python Write/Create Files
Python Delete Files
Python Modules
Introduction to Numpy
Numpy Arrays
Quick Note on Array Indexing
Numpy Array Indexing
Numpy Operations
Introduction to Pandas
DataFrames
Missing Data
Groupby
Merging Joining and Concatenating
Operations
Data Input and Output
Pandas Built-in Data Visualization
Python for Data Visualization Matplotlib
Introduction to Data visualization
Matplotlib Part1
Introduction to Seaborn
Categorical Plots
Matrix Plots
Grids
Regression Plots
Style and Color
PROJECT WORK