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 !

4.22 (732 reviews)
Udemy
platform
English
language
Data Science
category
instructor
163,281
students
16 hours
content
Mar 2020
last update
$79.99
regular price

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 - Screenshot_01Ultimate Python Bootcamp For Data Science & Machine Learning - Screenshot_02Ultimate Python Bootcamp For Data Science & Machine Learning - Screenshot_03Ultimate Python Bootcamp For Data Science & Machine Learning - Screenshot_04

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

Rolando
December 12, 2021
Muchas gracias al profesor Pruthviraja por compartir su conocimiento. Es excelente instructor, didáctico y motivador. El curso está ordenado y bien estructurado, sobrepasa mis expectativas.
Luis
November 2, 2021
PLEASE!!!! Invest on a microphone. It's not the accent, it's the worst audio I have heard in Udemy. No matter how good the course could be if the microphone is in the way to understand. Looks like the guy is recording from the bottom of the WC!!!!
Jonathon
November 1, 2021
The material is informative and I am happy with the course thus far. My only issue is the sound quality. The videos can be difficult to hear clearly.
Neville
October 27, 2021
Asking for a review after 10 minutes of a course is a bit ridiculous in my opinion. The course is average so far because the sound quality is very poor, but the content seems ok
Matias
September 10, 2021
The first chapter has really poor audio with an unintelligible robotic voice. From chapter 3 an on it gets a bit better but the teacher's pronunciation and voice makes it very difficult to understand.
John
September 7, 2021
Terrible audio. I cannot understand what he says most of the time. Please include subtitles next time.
Alexander
August 10, 2021
I wouldn't judge about course content, as I didn't anything beyond the introduction lections. Sound quality is poor, it seems that the trainer is reading the text, which is anyway shown on the screen. I got the course for free - and it's not worth paying for it, otherwise you waste not only time, but also money
Mahesh
August 6, 2021
your robotic voice is so boring to continue the course, not sound exciting and also their is no subtitles
Amir
July 30, 2021
It is very hard to listen the teacher since microphone is not good, barely believe that it is a microphone even :(
Erwin
July 14, 2021
kursus yang sangat menyenangkan dan kami akan kembali selalu mengikuti kursus ini dan tema2 yang baru. trimakasih instruktur atas kemurahan nya. makin sukses dan jaya selalu
Chan
May 20, 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.
Sagar
April 28, 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
Dhananjai
April 18, 2021
Good course for beginners to learn all the basics...Please make one full course in detail on Machine learning models in details...
Marimutoo
April 9, 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.
Vikas
March 16, 2021
Instructor audio is so horrible I barely understand what he is trying to say. regretting the purchase

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2873170
udemy ID
3/15/2020
course created date
9/1/2020
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