Udemy

Platform

English

Language

Data Science

Category

Ultimate Python Bootcamp For Data Science & Machine Learning

Learn How To Code Python For Data Science, ML & Data Analysis, With 100+ Exercises and 4 Real Life Projects !

4.23 (265 reviews)

Students

16 hours

Content

Mar 2020

Last Update
Regular Price

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What you will learn

Build a Solid Foundation in Data Analysis with Python

You will be able to work with the Pandas Data Structures: Series, DataFrame and Index Objects

Learn hundreds of methods and attributes across numerous pandas objects

You will be able to analyze a large and messy data files

You can prepare real world messy data files for AI and ML

Manipulate data quickly and efficiently

You will learn almost all the Pandas basics necessary to become a 'Data Analyst'


Description

Hi, dear learning aspirants welcome to “Ultimate Python Bootcamp For Data Science & Machine Learning ” from beginner to advanced level. We love programming. Python is one of the most popular programming languages in today’s technical world. Python offers both object-oriented and structural programming features. Hence, we are interested in data analysis with Pandas in this course. 

This course is for those who are ready to take their data analysis skill to the next higher level with the Python data analysis toolkit, i.e. "Pandas".

This tutorial is designed for beginners and intermediates but that doesn't mean that we will not talk about the advanced stuff as well. Our approach of teaching in this tutorial is simple and straightforward, no complications are included to make bored Or lose concentration. 

In this tutorial, I will be covering all the basic things you'll need to know about the 'Pandas' to become a data analyst or data scientist.   

We are adopting a hands-on approach to learn things easily and comfortably. You will enjoy learning as well as the exercises to practice along with the real-life projects (The projects included are the part of large size research-oriented industry projects).

I think it is a wonderful platform and I got a wonderful opportunity to share and gain my technical knowledge with the learning aspirants and data science enthusiasts.


What you will learn:

You will become a specialist in the following things while learning via this course

“Data Analysis With Pandas”.

  • You will be able to analyze a large file

  • Build a Solid Foundation in Data Analysis with Python

After completing the course you will have professional experience on;

  • Pandas Data Structures: Series, DataFrame and Index Objects

  • Essential Functionalities

  • Data Handling

  • Data Pre-processing

  • Data Wrangling

  • Data Grouping

  • Data Aggregation

  • Pivoting

  • Working With Hierarchical Indexing

  • Converting Data Types

  • Time Series Analysis

  • Advanced Pandas Features and much more with hands-on exercises and practice works.


Screenshots

Ultimate Python Bootcamp For Data Science & Machine Learning
Ultimate Python Bootcamp For Data Science & Machine Learning
Ultimate Python Bootcamp For Data Science & Machine Learning
Ultimate Python Bootcamp For Data Science & Machine Learning

Content

Getting Started

Course Introduction

How To Get Most Out Of This Course

Better To Know These Things

How To Install Python IPython And Jupyter Notebook

How To Install Anaconda For macOS And Linux Users

How To Work With The Jupyter Notebook Part-1

How To Work With The Jupyter Notebook Part-2

Pandas Building Blocks

How To Work With The Tabular Data

How To Read The Documentation In Pandas

Pandas_Data Structures

Theory On Pandas Data Structures

How To Construct The Pandas Series

How To Construct The DataFrame Objects

How To Construct The Pandas Index Objects

Practice Part 01

Practice Part 01 Solution

Data Indexing And Selection

Theory On Data Indexing And Selection

Data Selection In Series Part 1

Data Selection In Series Part 2

Indexers Loc And Iloc In Series

Data Selection In DataFrame Part 1

Data Selection In DataFrame Part 2

Accessing Values Using Loc Iloc And Ix In DataFrame Objects

Practice Part 02

Practice Part 02 Solution

Essential Functionalities

Theory On Essential Functionalities

How To Reindex Pandas Objects

How To Drop Entries From An Axis

Arithmetic And Data Alignment

Arithmetic Methods With Fill Values

Broadcasting In Pandas

Apply And Applymap In Pandas

How To Sort And Rank In Pandas

How To Work With The Duplicated Indices

Summarising And Computing Descriptive Statistics

Unique Values Value Counts And Membership

Practice_Part_03

Practice_Part_03 Solution

Data Handling

Theory On Data Handling

How To Read The Csv Files Part - 1

How To Read The Csv Files Part - 2

How To Read Text Files In Pieces

How To Export Data In Text Format

How To Use Python's Csv Module

Practice_Part_04

Practice_Part_04 Solution

Data Cleaning And Preparation

Theory On Data Preprocessing

How To Handle Missing Values

How To Filter The Missing Values

How To Filter The Missing Values Part 2

How To Remove Duplicate Rows And Values

How To Replace The Non Null Values

How To Rename The Axis Labels

How To Descretize And Bin The Data Part - 1

How To Filter And Detect The Outliers

How To Reorder And Select Randomly

Converting The Categorical Variables Into Dummy Variables

How To Use 'map' Method

How To Manipulate With Strings

Using Regular Expressions

Working With The Vectorized String Functions

Practice_Part_05

Practice_Part_05 Solution

Data Wrangling

Theory On Data Wrangling

Hierarchical Indexing

Hierarchical Indexing Reordering And Sorting

Summary Statistics By Level

Hierarchical Indexing With DataFrame Columns

How To Merge The Pandas Objects

Merging On Row Index

How To Concatenate Along An Axis

How To Combine With Overlap

How To Reshape And Pivot Data In Pandas

Practice_Part_06

Practice_Part_06 Solution

Data Grouping And Aggregation

Thoery On Data Groupby And Aggregation

Groupby Operation

How To Iterate Over Groupby Object

How To Select Columns In Groupby Method

Grouping Using Dictionaries And Series

Grouping Using Functions And Index Level

Data Aggregation

Practice_Part_07

Practice_Part_07 Solution

Time Series Analysis

Theory On Time Series Analysis

Introduction To Time Series Data Types

How To Convert Between String And Datetime

Time Series Basics With Pandas Objects

Date Ranges Frequencies And Shifting

Date Ranges Frequencies And Shifting Part - 2

Time Zone Handling

Periods And Period Arithmetic’s

Practice_Part_08

Practice_Part_08 Solution

How To Analyse With The Part of Real Life Projects

A Brief Introduction To The Pandas Projects

Project_1 Description

Project_1 Solution Part - 1

Project_1 Solution Part - 2

Project_2 Description

Project_2 Solution

Project_3 Description

Project_3 Solution Part - 1

Project_3 Solution Part - 2

Project Assignment


Reviews

C
Chan20 May 2021

horrible sound. its like an alien . i don't know why you are waiting your time same as our time .. i found it for free. thank you for that. but i think my time is more valuable than the money.

S
Sagar28 April 2021

I have recently completed udemy course on python for data analysis with pandas It was simply great? I am a mechanical engineer but wanted to do career in data science And that course was simply great ? Thank you for an awesome course from basic to advanced

D
Dhananjai18 April 2021

Good course for beginners to learn all the basics...Please make one full course in detail on Machine learning models in details...

M
Marimutoo9 April 2021

I just started and immediately noticed that the Audio sounds really screechy. Please improve the quality. Would be beneficial to all. The course quality I do not know yet. Thanks.

V
Vikas16 March 2021

Instructor audio is so horrible I barely understand what he is trying to say. regretting the purchase

G
Graham3 January 2021

he's using a laptop microphone with heavy noise reduction that makes it so i can't understand him at all, this is sub-YouTube tutorial level stuff

D
DEV31 December 2020

nicely explained all the concept covered by tutor, practical knowledge is much more important than theoretical that was I think is that the speed is too low.. but if you watch at 1.75x or 2x it would be better

K
Kamalakannan23 December 2020

Thank you so much for this course by Mentor Mr.Prithiviraja L . Kudos to you. I was learning pandas for past 6 months,but I couldn't able to remember syntax for some basics. But , I continously watched your videos for past 10 days and completed the course. Within 10 days, I am ready to do data analysis with pandas. One small correction : You should speak fast . Thank You Sir for your great effort. I'll surely recommend your course to someone who wants to learn data analysis with pandas. Once again,Thank You!

R
Rodda13 December 2020

This Course was very good. It is very useful for those who are entering for the training on Data Science Courses.

A
Andres4 December 2020

el nivel de ingles se entiende sin embargo no es muy bueno y se escucha muy bajo de tono de voz, de por si estos temas son muy técnicos y la explicación no ayuda a captar toda la información.

J
Jonathan21 November 2020

Seems like this course is full of information, but the poor audio quality makes this course unwatchable.


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2873170

Udemy ID

3/15/2020

Course created date

9/1/2020

Course Indexed date
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