infyni

About Course

Are you ready to take your data analysis skills to new heights? Infyni's industry-oriented Live Python with Data Analysis course is designed specifically for those seeking to enhance their industry-relevant skills. This is how :

Unleash the Potential of Python: Python is a versatile language that empowers you to tackle a wide range of tasks. And when it comes to data science and analysis, Python reigns supreme. Join our Live Python with Data Analysis course to learn basic to intermediate and advanced levels of Python as you dive into the world of data analysis.

Master the Art of Data Analysis: Infyni's comprehensive course will empower you with invaluable skills in data cleaning, preparation, and exploratory analysis. With hands-on experience using popular libraries like Pandas and Numpy, you'll gain the expertise needed to extract valuable insights from raw data.

Make Informed Decisions with Regression Models: Harness the power of regression models to make informed predictions and decisions. Our Live Python with Data Analysis course will equip you with the knowledge and tools to build and evaluate regression models, enabling you to uncover meaningful patterns and trends.

Unlock the Secrets of SQL: In today's data-driven world, understanding SQL is crucial for effective data handling. Our course ensures you'll gain a deeper understanding of what SQL is and why it plays a vital role when working with data analysts and tech teams. Expand your knowledge and enhance collaboration within your company's databases.

Join Infyni's Live Python with Data Analysis course and embark on a transformative journey towards becoming a skilled data analyst. Don't miss out on this opportunity to excel in the digital age. Enroll now and unlock the infinite possibilities of data analysis.

Course Offerings

Instructor-led interactive classes
Clarify your doubts during class
Access recordings of the class
Attend on mobile or tablet
Live projects to practice
Case studies to learn from
Lifetime mentorship support
Industry specific curriculum
Certificate of completion
Employability opportunity

Topics
Instructor (1)
Reviews

1 1. Introduction to Python Language

What is Python, Uses of Python Programming Language / Python Applications, Python for Software development, Python for Networking, Python for Automated Testing, Features of Python Programming Language, Implementations of Python, and Python career opportunities.

2 2. Download & Install Python

Download your operating system compatible Python Interpreter, install Python, set environment variable, customize Python shell, write & execute Python programs using Interactive mode and script mode. Python PyCharm or IDE, set Python for PyCharm IDE, configure PyCharm IDE, write & execute Python programs.

3 3. Python Language Syntax

Modes of Programming in Python, Interactive mode programming, Script mode programming, Creating Python program file, Python Identifiers, Python keywords, Lines and Indentation, Spilt Python statements, Join Python Statements, Writing code blocks, Comments in Python, and Quotation in Python.

4 4. Python Keywords and Identifiers

Python keywords or Reserved words, Python keywords define the syntax and structure of the Python language, Python keywords are case sensitive, Python literals (True, False, Null), Python Identifiers, class names, variable names, function names, method names, and Identifier naming rules.

5 5. Python Comments

Purpose/use of comments in Computer Programming, Comments for Understanding Python code, Python Comment Syntax, Python Single line comment, Multiline comment in Python, and writing Python comments.

6 6. Python Variables

What is Variable?, Declaration of Variables, Assign Values to Variables, Initialization, Reading, Variable naming restrictions, and Types of Python Variables.

7 7. Python Data Types

What is Data Type?, Implicit Declaration of Data Types, Python Numbers (Integers, floating-point numbers, and complex numbers), Python Strings, Python boolean data type.

8 8. Python Operators

Python Arithmetic, Comparison/Relational Operators, Increment Operators, Logical operators, Python Identity Operators, and Python Operators Precedence.

9 9. Python Control Flow – Decision Making

(Decision Making / Conditional Statements in Python, Simple If Structure, if-else structure, if elif structure, and nested If Structure. Execute a block of Statements when the condition is true, Execute a block of Statements when a compound condition is true, Execute a block of Statements when the condition is true otherwise execute another block of Statements, Decide among several alternates(elif), and Execute a block of Statements when more than one condition is true (Nested if))

10 10. Python Control Flow – Looping

• ((Python Control Flow Statements, Python Loop Statements. Python while loop, Python for loop, Python range(), Python Nested Loop Structures, and Inserting conditions in Loops and vice versa.))

11 11. Python Control Flow – Branching

• (Python Flow Control – Branching Statements, A branching statement is a statement that determines whether other statements will be executed. Python Branching Statements – break, continue, pass)

12 12. Python Numbers

• (Python Number data types are for storing numeric values, Python supports integers, floats, and complex numbers.)

13 13. Python Strings

• (String is a sequence of characters written in single quotes or in double quotes or in three double quotes. The string may have Alphabets, Numbers, and Special Characters. Operations on Strings, Finding String length, Concatenating Strings, Print a String multiple times, Check whether the String has all numeric characters?, and Check whether the String has all alphabetic characters?.)

14 14. Python Lists

• ((Python Data Structures, Create Python Lists, Update Python Lists, Delete Elements from Python Lists, and Built -in Functions & Built-in Methods for Python Lists.))

15 15. Python Tuples

• (Tuples are sequences, just like lists. The differences between tuples and lists are, the tuples cannot be changed unlike lists and tuples use parentheses, whereas lists use square brackets.)

16 16. Python Sets

• (A Python set is a collection that is unordered and unindexed. In Python sets are written with curly brackets.)

17 17. Python Dictionaries

• (A dictionary is a collection that is unordered, changeable, and indexed. In Python dictionaries are written with curly brackets, and they have keys and values.)

18 18. Python Arrays

• (Array is a container that can hold a fixed number of items and these items should be of the same type. Python does not have built-in support for Arrays, but Python Lists can be used instead.)

19 19. Python user-defined Functions

• (In all programming and scripting languages, a function is a block of program statements that can be used repetitively in a program. It saves the time of a developer. In Python concept of function is the same as in other languages. There are some built-in functions that are part of Python. Besides that, we can define functions according to our needs.)

20 20. Python Built-in Functions

• (Python has several functions that are readily available for use. These functions are called built-in functions.)

21 21. Python – Modules

• A module allows you to logically organize your Python code. Simply, a module is a file consisting of Python code. A module can define functions, classes, and variables. A module can also include runnable code.

22 22. Python User Input

• Python user input from the keyboard can be read using the input() built-in function. The input from the user is read as a string and can be assigned to a variable.

23 23. Python File Handling

• Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files.

24 24. Python Exceptions Handling

• Python provides us with a way to handle the Exception so that the other part of the code can be executed without any disruption. However, if we do not handle the exception, the interpreter doesn’t execute all the code that exists after that. Python OOPs Concepts
•Python Programming Syllabus

25 25. Python Classes and Objects

• (Classes provide a means of bundling data and functionality together. Creating a new class creates a new type of object, allowing new instances of that type to be made. Objects are an encapsulation of variables and functions into a single entity. Objects get their variables and functions from classes. Classes are essentially a template to create your objects.)

26 26. Python Methods

• (A Python method is a label that you can call on an object
it is a piece of code to execute on that object. Methods are simply another kind of function that reside in classes. You create and work with methods in Python in precisely the same way that you do functions, except that methods are always associated with a class. You can create two kinds of methods: those associated with the class itself and those associated with an instance of a class.)

27 27. Python Constructors

• (A constructor is a special type of method (function) that is used to initialize the instance members of the class. Two types of Constructors in Python, Parameterized Constructor, Non-parameterized Constructor, Constructor definition is executed when we create the object of this class.) •

28 28. Python Inheritance

• (Inheritance enables us to define a class that takes all the functionality from a parent class and allows us to add more. Inheritance is a powerful feature in object-oriented programming, Types Inheritance in Python, Single Inheritance, Multi-Level Inheritance, Multiple Inheritance, Hierarchical Inheritance, and Hybrid Inheritance.)

29 29. Python Polymorphism

• (Python Object Oriented Programming – Polymorphism, What is Polymorphism?, Types of Polymorphism in Python, Compile Time Polymorphism (Method OverLoading), Run Time Polymorphism (Method Overriding), Polymorphism with class methods, and Polymorphism with Inheritance)

30 30. Python Abstraction

• (What is Abstraction?, hiding the implementation details and only showing the essential features of the object, Abstraction in Python is achieved by using abstract classes and interfaces.)

31 31. Python Encapsulation

• (Encapsulation is one of the fundamental concepts in object-oriented programming (OOP). It describes the idea of wrapping data and the methods that work on data within one unit. Python is an interpreted programming language and implements weak encapsulation. )
• Others:

32 32. Regular Expressions

• (A RegEx, or Regular Expression, is a sequence of characters that forms a search pattern. Python has a built-in package called re, which can be used to work with Regular Expressions. The re module offers a set of functions that allows us to search a string for a match. RegEx Functions, Metacharacters, and Special Sequences.)

33 33. Database Access

• (For database programming, Python supports many database servers- MySQL, Oracle, PostgreSQL, SQLite, Sybase, Microsoft SQL Server, mSQL, Microsoft Access, and many more. It also supports Data Query Statements, Data Definition Language (DDL), and Data Manipulation Language (DML). The standard database interface for Python is Python DB-API.)

34 34.Pandas and Numpy

35 35. Tkinter

36 36. Python Programming

Arpita Lahiri

About Instructor

4.0

Ratings

3

Reviews

13

Students

8

Courses

(3)

"I had no prior coding experience, but this course made Python understandable. 4/5!"

Sona Maria Jacob

Dec. 19, 2023, 3:55 p.m.

"Python seemed intimidating at first, but the course structure was good. I'd rate it 4/5."

Jaan Rose