Accounting Data Analytics with Python

ESSEC Business School via Coursera

Overview

Embark on a transformative journey with the Accounting Data Analytics with Python course, offered by ESSEC Business School and made available through Coursera. Diving deeper than the introductory levels, this specialized program is meticulously designed to enhance Python skills, focusing on assembling and analyzing business-related data. Unlike its predecessor, this advanced course steers away from Excel and Visual Basic Editor, embracing the dynamic capabilities of Jupyter Notebook—a leading development environment for executing data analytic tasks with Python and R.

Throughout the course, learners will engage with advanced Python programming techniques within various accounting data domains, including financial statements from EDGAR, stock, loan, and point-of-sale data. Building on foundations laid in the Introduction to Accounting Data Analytics and Visualization, participants will discover how to utilize an integrated development environment to automate data analytics efficiently, manage code, and seamlessly share results in Jupyter Notebook.

The curriculum delves into essential programming skills during its initial stages, covering mathematical operators, functions, conditional statements, and loops. Progressing into the latter half, the focus shifts towards assembling data for machine learning applications. Here, students are introduced to potent tools like Pandas dataframes and Numpy, essential for structuring and manipulating data. Furthermore, the course explores data analysis through visualizations and linear regression and concludes with insights on leveraging Python for SQL data interaction.

Categorized under Python Courses, Data Analysis Courses, and Business Intelligence Courses, this program stands as a beacon for professionals and enthusiasts keen on marinating their careers with advanced data analytics and Python programming skills in the ambit of accounting and business intelligence.