4.03 (542 reviews)
☑ 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'
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
Working With Hierarchical Indexing
Converting Data Types
Time Series Analysis
Advanced Pandas Features and much more with hands-on exercises and practice works.
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
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
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
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
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
Theory On Data Wrangling
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
Data Grouping And Aggregation
Thoery On Data Groupby And Aggregation
How To Iterate Over Groupby Object
How To Select Columns In Groupby Method
Grouping Using Dictionaries And Series
Grouping Using Functions And Index Level
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
How To Analyse With The Part of Real Life Projects
A Brief Introduction To The Pandas Projects
Project_1 Solution Part - 1
Project_1 Solution Part - 2
Project_3 Solution Part - 1
Project_3 Solution Part - 2
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
your robotic voice is so boring to continue the course, not sound exciting and also their is no subtitles
It is very hard to listen the teacher since microphone is not good, barely believe that it is a microphone even :(
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
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.
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
Good course for beginners to learn all the basics...Please make one full course in detail on Machine learning models in details...
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.
Instructor audio is so horrible I barely understand what he is trying to say. regretting the purchase
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
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
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!
This Course was very good. It is very useful for those who are entering for the training on Data Science Courses.
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.
Seems like this course is full of information, but the poor audio quality makes this course unwatchable.