Learn Basic Data science and Python Libraries

Learn Basic Data science and Python Libraries, available at $19.99, has an average rating of 2.9, with 9 lectures, based on 154 reviews, and has 36012 subscribers.

You will learn about Learn The basic of python and data science libraries such as numpy, pandas , plotting libraries like matplotlib and seaborn , plotly and cufflinks Depend on enrollment N/A N/A This course is ideal for individuals who are This course is for who want to learn basic of data science and their libraries and python programming It is particularly useful for This course is for who want to learn basic of data science and their libraries and python programming.

Enroll now: Learn Basic Data science and Python Libraries

Summary

Title: Learn Basic Data science and Python Libraries

Price: $19.99

Average Rating: 2.9

Number of Lectures: 9

Number of Published Lectures: 9

Number of Curriculum Items: 9

Number of Published Curriculum Objects: 9

Original Price: ₹999

Quality Status: approved

Status: Live

What You Will Learn

Learn The basic of python and data science libraries such as numpy, pandas , plotting libraries like matplotlib and seaborn , plotly and cufflinks
Depend on enrollment
N/A
N/A

Who Should Attend

This course is for who want to learn basic of data science and their libraries and python programming

Target Audiences

This course is for who want to learn basic of data science and their libraries and python programming

Welcome to my course Basics Data Science with Numpy, Pandas, and Matplotlib

This course will teach the basics of Python Data Structures and the most important Data Science libraries like NumPy and Pandas with step-by-step examples!

In this course, we will learn step by step with starting with basics understanding of jupyter notebook and how to write a code in jupyter notebook

and understanding every function of jupyter notebook then we will learn basic pythons such as Then we will go ahead with the basic python data types like strings, numbers, and its operations. We will deal with different types of ways to assign and access strings, string slicing, replacement, concatenation, formatting, and strings.

Dealing with numbers, we will discuss the assignment, accessing, and different operations with integers and floats. The operations include basic ones and also advanced ones like exponents. Also, we will check the order of operations, increments, and decrements, rounding values, and typecasting.

Then we will proceed with basic data structures in python like Lists tuples and set. For lists, we will try different assignments, access, and slicing options. Along with popular list methods, we will also see list extension, removal, reversing, sorting, min and max, existence check, list looping, slicing, and also inter-conversion of lists and strings.

So let’s start with the lessons. See you soon in the course lecture

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Jupyter Basic1

Lecture 3: Jupyter Basic

Lecture 4: Python Basic Operation

Lecture 5: Keyword and Identifier

Chapter 2: Numpy and Pandas operation

Lecture 1: Numpy Basic

Lecture 2: Pandas Basic Operation

Chapter 3: Plotting Libraries, Matplotlib, seaborn and cufflinks and plotly

Lecture 1: Matplotlib and seaborn1

Lecture 2: Matplotlib and seaborn2

Instructors

Akbar Khan
Engineer and Online Instructure

Rating Distribution

1 stars: 23 votes
2 stars: 20 votes
3 stars: 39 votes
4 stars: 34 votes
5 stars: 38 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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