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

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Pandas Basics - Replace Excel with Python Data Analysis

What You Will Learn!

Real World Business Data Analysis Data Science using Python Pandas Library Functions using data from Excel
How to use Python and Pandas to create replicable automated dataset manipulation workflows export to Excel
How to use Python as an alternative to Excel data wrangling for data analysis and data science
Learn object-oriented programming using Python
Understand how Python Pandas functions work
Understand the difference between Series and Dataframes
Understand how to clean data using Python Pandas Functions

Description

Level up your Excel data analysis skills by transitioning from Excel to Python seamlessly with my tailored course designed exclusively for professionals. Discover the power of the Python's Pandas library in handling large datasets, automating boring and repetitive tasks, and simplifying data management.

What sets this course apart?

Real-world Application: This course isn’t a generic Python tutorial. It's crafted by a seasoned finance professional for professionals. Hence, every lesson, tip, and trick is rooted in real-life scenarios.
From Basics to Advanced: Whether you're a novice or someone who's dabbled in Python before, this course caters to all. It commences with the foundational aspects of Python and Pandas and gradually dives into advanced techniques ensuring a comprehensive learning experience.
Practical Focus: We understand that finance professionals mostly deal with CSV and Excel files. This course primarily revolves around these, but we also touch upon importing data in varied formats.
End-to-end Learning: Apart from learning Python and Pandas, get acquainted with the Jupyter Notebooks programming environment. Follow along as we delve deep into importing, inspecting, and manipulating data. Master the art of data cleaning using string functions, and ascertain ways to avoid errors. Conclusively, we’ll guide you on summarizing your data, ensuring it’s export-ready.

Who Should Attend!

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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