Python for Data Science Great Learning

Python for Data Science – Great Learning, available at Free, has an average rating of 4.6, with 14 lectures, 9 quizzes, based on 1004 reviews, and has 31807 subscribers.

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You will learn about Python Programming This course is ideal for individuals who are Anyone who wants to start learning Python programming It is particularly useful for Anyone who wants to start learning Python programming.

Enroll now: Python for Data Science – Great Learning

Summary

Title: Python for Data Science – Great Learning

Price: Free

Average Rating: 4.6

Number of Lectures: 14

Number of Quizzes: 9

Number of Published Lectures: 14

Number of Published Quizzes: 9

Number of Curriculum Items: 23

Number of Published Curriculum Objects: 23

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Python Programming

Who Should Attend

Anyone who wants to start learning Python programming

Target Audiences

Anyone who wants to start learning Python programming

Python is a versatile language, which is used for varied purposes such as: Machine Learning, Game Development and Visualization. So, it becomes a necessity to have knowledge in Python programming to get that high-profile job.

Keeping the importance of Python in mind, Great Learning has come up with a comprehensive tutorial. The course will comprise of following topics:

Introduction and Installing Python

Variables and Data Types in Python

Operators in Python

Python Strings

Python Tuple

Python List

Dictionary in Python

Set in Python

If Statement

Looping Statements in Python

User-Defined Functions

Object-Oriented Programming in Python

NumPy Library in Python

Pandas in Python

Matplotlib in Python

Course Curriculum

Chapter 1: Introduction to Python Module

Lecture 1: Introduction to Python Module

Chapter 2: Installing Python, Pycharm and Anaconda

Lecture 1: Installing Python, Pycharm and Anaconda

Chapter 3: Data Types, Variables and Operators in Python

Lecture 1: Data types and variables in Python

Lecture 2: Operators in Python

Chapter 4: Python Strings

Lecture 1: Python Strings

Chapter 5: Data Structures in Python

Lecture 1: Python Tuple

Lecture 2: List in Python

Lecture 3: Dictionary and Set in Python

Chapter 6: Flow Control Statements

Lecture 1: Decision Making Statements

Lecture 2: Looping Statements in Python

Chapter 7: User Defined Functions in Python

Lecture 1: User Defined Functions in Python

Chapter 8: Object Oriented Programming in Python

Lecture 1: Object Oriented Programming in Python

Chapter 9: Numpy Library in Python

Lecture 1: Numpy Library in Python

Chapter 10: Pandas Library in Python

Lecture 1: Pandas Library in Python

Instructors

Bharani Akella
Instructor at Great Learning

Rating Distribution

1 stars: 10 votes

2 stars: 30 votes

3 stars: 171 votes

4 stars: 400 votes

5 stars: 393 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!