Syllabus
Python for Data Analytics
Everything the module covers, from the first line of Python through pandas
and NumPy — the same ground a working analyst uses every day.
6Sections
86Topics
LiveInstructor-led
What you will cover
Open a section to see every topic inside it.
6 sections
86 topics
01
Python Basics
18 topics
- Need for Programming
- Advantages of Programming
- Overview of Python
- Organizations using Python
- Python Applications in Various Domains
- Python Installation
- Variables
- Operands and Expressions
- Conditional Statements
- Loops
- User-Defined Functions
- Concept of Return Statement
- Concept of name =" main "
- Function Parameters
- Different Types of Arguments
- Global Variables
- Global Keyword
- Command Line Arguments
02
Working with Modules and Handling Exceptions
11 topics
- Standard Libraries
- Packages and Import Statements
- Reload Function
- Important Modules in Python
- Sys Module
- Os Module
- Math Module
- Working with Modules and
- Handling Exceptions
- Date-Time Module
- Random Module
03
Functions and Object Oriented Programming
23 topics
- User-Defined Functions
- Concept of Return Statement
- Concept of name =" main "
- Function Parameters
- Different Types of Arguments
- Global Variables
- Global Keyword
- Variable Scope and Returning Values
- Lambda Functions
- Various Built-In Functions
- Introduction to Object-Oriented Concepts
- Built-In Class Attributes
- Public, Protected and Private Attributes,and Methods
- Class Variable and Instance Variable
- Constructor and Destructor
- Decorator in Python
- Core Object-Oriented Principles
- Inheritance and Its Types
- Method Resolution Order
- Overloading
- Overriding
- Getter and Setter Methods
- Inheritance-In-Class Case Study
04
Data Manipulation using pandas
11 topics
- Introduction to pandas
- Data structures in pandas
- Series
- Data Frames
- Importing and Exporting Files in Python
- Basic Functionalities of a Data Object
- Merging of Data Objects
- Concatenation of Data Objects
- JSON Module
- Regular Expression
- Exception Handling
05
Data Structure and File Operations
7 topics
- Method of Accepting User Input and eval Function
- Python - Files Input/Output Functions
- Lists and Related Operations
- Tuples and Related Operations
- Strings and Related Operations
- Sets and Related Operations
- Dictionaries and Related Operations
06
Introduction to NumPy
16 topics
- Basics of Data Analysis
- NumPy - Arrays
- Operations on Arrays
- Indexing Slicing and Iterating
- NumPy ArrayAttributes
- Introduction to NumPy
- Matrix Product
- NumPy Functions
- Functions
- Array Manipulation
- File Handling Using NumPy
- Array Creation and Logic Functions
- File Handling Using Numpy
- Types of Joins on Data Objects
- Data Cleaning using pandas
- Exploring Datasets
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