# 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.

3.15 (143 reviews)
Udemy
platform
English
language
Data Science
category
instructor
36,012
students
2.5 hours
content
Nov 2020
last update
\$19.99
regular price

## 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

## Content

### Introduction

Introduction
Jupyter Basic1
Jupyter Basic
Python Basic Operation
Keyword and Identifier

### Numpy and Pandas operation

Numpy Basic
Pandas Basic Operation

### Plotting Libraries, Matplotlib, seaborn and cufflinks and plotly

Matplotlib and seaborn1
Matplotlib and seaborn2

## Reviews

alex
January 14, 2022
Good overview of various functions. Unfortunately, it comes more often to sound disturbances. Either the lecturer didn't watch his own videos or didn't want to record the sequences a second time. Much of the content could certainly have been better read in a book, since the course offers far too little background information in many places.
Reddyvari
June 8, 2021
Though course was slow and some parts required more explanation, the overall course was good and I have learnt what I expected.
Ichu468
December 25, 2020
Dude barely speaks English and didn't even tried to sound convincing enough that he knows the topic. Thank god that I didn't paid for this because I would regret a lot.
Koudjo
November 14, 2020
Bonjour, Pour le débutant que je suis, je ne suis pas très satisfait de ce cours, certes il m'a permis de découvrir bien de choses nouvelles. Le formateur est plutôt débutant et n'est pas pédagogue. Il a fallu que je me rabats sur d'autres cours comprendre certaines fonctions, certaines commandes comment on les utilise et leurs syntaxes si on peut dire. Surtout partie visualisation de données, je n'ai pas pu le suivre. Tout de même, ça vaut la peine de suivre, pour les débutants.
Steven
October 20, 2020
Instructor does not seem overly sure of himself or the aim for the class. the first step is missing the the second lecture, he mentions searching for anaconda, but instructiosn on what Anaconda is or how to get it have been skipped. It is early days
Ebrahim
October 16, 2020
Instructor voice quality was not acceptable, especially for Introduction section. It sounds that instructor just read on some text and totally it was disappointing.
Highnes
October 2, 2020
Better audio quality may help in effective learning. Overall experience is Better, worth suggesting to others.
Hitesh
October 2, 2020
It should be easy. it is in a little sophisticated manner. it's too fast for a beginner. rest all the points are covered.

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## Related Topics

3433526
udemy ID
8/19/2020
course created date
9/5/2020
course indexed date
Angelcrc Seven
course submited by