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Learn Basic Data science and Python Libraries
Rating: 3.5 out of 5(155 ratings)
36,013 students

Learn Basic Data science and Python Libraries

Covers all Essential Python topics and Libraries for Data Science or Machine Learning Beginner Such as numpy pandas etc.
Created byAkbar Khan
Last updated 8/2021
English

What you'll 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

Course content

3 sections • 9 lectures • 2h 30m total length

  • Introduction1:06

    Hello all in this course we will be going to learn about data science and machine learning Python and  basics with Numpy, Pandas, and Matplotlib

  • Jupyter Basic15:59

    In this video, we will learn how to open a jupyter notebook

  • Jupyter Basic8:57

    In this lecture, we will understand how each and every element of jupyter notebook is working

  • Python Basic Operation17:46

    In this lecture, we will understand the basic python operation like addition multiplication and many more

  • Keyword and Identifier3:20

    In these lectures, we will learn the keyword and identifier in python how to use it

Requirements

  • For beginners

Description

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



Who this course is for:

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

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