Hello, dear learning aspirants welcome to “Python For Data Analysis and Data Science: Zero To Mastery With Pandas ”. We love programming. Python is one of the most popular programming languages in today is 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 Python data analysis toolkit, i.e. "Pandas".
This tutorial is designed for beginners and intermediates but that does not 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 wil 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.
We will also provide you with a course completion certificate once you are done with all the sessions and it will add great value to your career.
Who is this course for?
Data Analysis Beginner
Business and Analyst
Students and Other Professionals
Beginner Python developers Curious to learn about Data Science
Aspiring data scientists who want to add Python to their tool arsenal
Any curious learner who wants to update their knowledge in Business Analysis
AI and ML aspirants to upgrade their knowledge in Data Preprocessing before applying the machine learning algorithms to their projects
What should you know before starting this course?
No Prior Knowledge or Experience Needed, Only a Passion to Learn !
Basic knowledge of data types (Basic Maths, integers, floating point numbers, Logic Conditions) etc, but not necessary
Basic Or intermediate experience with Microsoft Excel, but not necessary.
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
Data Pre processing
Working With Hierarchical Indexing
Converting Data Types
Time Series Analysis
Advanced Pandas Features and much more with hands on exercises and practice works.
What will students achieve or be able to do after taking your course?
How to code with Pandas toolkit
Learn hundreds of methods and attributes across numerous pandas objects
Manipulate data quickly and efficiently
Create dataframes with pandas and Recognize analytical approaches to data
Solid Foundation in Data Analysis with Python
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 enthusiasists.
I wish you all good luck with the course and happy learning. Let's dive into the course and engage with the knowledge.
Professional Educator, Software Trainer and Author
Hi, I am Pruthivraja L, with more than 6 plus years of teaching and training experience from various technical institutes. Teaching is my passion. I'm a Certified Data Analyst. I got certifications from various eLearning centers including Udemy, Intellipaat-Bengaluru, LinkedIn eLearning center, etc.
My teaching skills are Matlab, Python, SAS, R , AI and Machine learning, Data Science and Data Analysis.
I'm a multi faceted software professional aspirant with demonstrated capability in deploying analytical and programming methodologies to extract insights for boosting and bolstering user requirements. Adept at conducting statistical analysis and data modeling for transforming raw data into actionable strategies.
I've written a student-friendly textbook in the electrical engineering field titled 'Elements of Electrical Engineering' under the publication of 'I.K. International Publishing House Pvt Ltd', New Delhi, India. The book is available in many countries including the USA and UK via Amazon and many other seller portals. The book is now started distributing under Wiley India Pvt. Ltd.
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