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.
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:
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Introduction and Installing Python
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Variables and Data Types in Python
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Operators in Python
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Python Strings
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Python Tuple
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Python List
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Dictionary in Python
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Set in Python
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If Statement
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Looping Statements in Python
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User-Defined Functions
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Object-Oriented Programming in Python
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NumPy Library in Python
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Pandas in Python
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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
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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!
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