課程資料
課程簡介
Work With Pandas, Python For Data Science, ML & Data Analysis, Data Prep With EDA & 100+ Exercises & Real Life Projects
Hi, dear learning aspirants welcome to “ Master Pandas: Basics To Advanced - To Become A Data Analyst” 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.
Series at a Glance
Series Methods and Handling
Introducing DataFrames
DataFrames More In Depth
Working With Multiple DataFrames
Going MultiDimensional
GroupBy And Aggregates
Reshaping With Pivots
Working With Dates And Time
Regular Expressions And Text Manipulation
Visualizing Data
Data Formats And I/O
Pandas and python go hand-in-hand which is why this bootcamp includes a Pandas Coding In full length to get you up and running, writing pythonic code in no time.
This is the ultimate course on one of the most-valuable skills today. I hope you commit to mastering data analysis with Pandas.
See you inside!
Regards
Pruthviraja L
Team UpGraduate
課程章節
- 10 個章節
- 103 堂課
- 第 1 章 Getting Started
- 第 2 章 Pandas Building Blocks
- 第 3 章 Pandas_Data Structures
- 第 4 章 Data Indexing And Selection
- 第 5 章 Essential Functionalities
- 第 6 章 Data Handling
- 第 7 章 Data Cleaning And Preparation
- 第 8 章 Data Wrangling
- 第 9 章 Data Grouping And Aggregation
- 第 10 章 Time Series Analysis
課程內容
- 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'
此課程所涵蓋的技能
評價
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DDoctor destroy
the quality of everything is great, except for the microphone, it is horrible
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NNehal .
it was an amazing and intresting course with much knowledge
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DDavid
instalación desactualizada y con errores a la hora de seguir.
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DDosa Damodara Sai Manikanta Vamsi
This course started from very basic level and continuing most uniquely and the tutor also teaching more clearly. Thank you Udemy for introducing most important courses