Pandas Basics - Replace Excel with Python Data Analysis
PYTHON data analysis using the Pandas library to manipulate datasets and automate tasks from Excel practical application
Pandas Basics - Replace Excel with Python Data Analysis udemy course
PYTHON data analysis using the Pandas library to manipulate datasets and automate tasks from Excel practical application
What you'll learn:
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You will get to learn about the approach that is used to develop the data management based solution. To complete the projects, you will be working using python and all the libraries that we got covered in this training.
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we will be using the concepts covered in the course to develop the solution. You will get to learn about various new concepts in this project and will also master the topics that
Requirements:
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Basic understanding of Computer Programming terminologies.
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Basic understanding of any of the programming languages is a plus.
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Basic knowledge of Python and Mathematics
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No prior information for machine learning is needed.
Description:
In this course, I will help you to simplify and automate your data analysis and data science tasks using the Python and the Pandas library.
These lectures are the result of my personal crash course in Python programming learning experience. I have recently changed jobs and have had the opportunity to learn Python programming to analyse and manipulate data. I have compiled some essential techniques as well as tips to make sure you understand how Python object-oriented programming works. Pandas Basics - Replace Excel with Python Data Analysis Udemy
I am a real world finance professional and I have compiled these lectures on the basis of my experience in my actual job. We will go through the basics as well as some more advanced techniques to help you create a more streamlined process of data manipulation. We will mostly be working with CSV and Excel files, however we also discuss how to import data in other formats.
We start with a background of Python programming language as well as the Pandas library. We will also go through essentials of using the Jupyter Notebooks programming environment. We will then explore ways to import data, and then go through a multitude of examples on how to inspect and manipulate data. We also discuss how to clean data using string functions, as well as how to avoid errors when creating or adding data. Finally, we will look at how to summarise and then export our cleaned and finalised data.
Who this course is for:
- Those wanting to explore alternative data analysis data science manipulation software aside from Excel
- Beginner Python Pandas data analysts data scientists
- Students that don't have much time to learn Python Pandas
- Transitioning students from SAS or SQL to Python Pandas
- Students that want to automate Excel spreadsheets with Python
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Course Details:
- 14 hours on-demand video
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
Pandas Basics - Replace Excel with Python Data Analysis udemy free download
PYTHON data analysis using the Pandas library to manipulate datasets and automate tasks from Excel practical application
Demo Link: https://www.udemy.com/course/essential-business-data-manipulation-using-python-and-pandas/
