Python Beyond Excel

Advance your analytics capabilities: Transition from basic spreadsheets to Python and explore powerful data analysis techniques with our expert-led course.

1 hours
12 videos
24 exercises
222 xp

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An outline of this training course

Python Beyond Excel is designed for professionals and enthusiasts who are familiar with Excel and are eager to elevate their data analysis skills using Python. As spreadsheets become limiting, Python offers a dynamic and powerful alternative. 

This course will guide you through the transition, starting with Python's basic operations and leading to advanced data manipulation techniques. Dive deep into pivot tables, filtering, string manipulation, and visualization, all while using Python's intuitive syntax. 

By the end of this course, you'll be equipped with the skills to handle complex datasets, derive insights, and present your findings effectively. Whether you're an analyst, student, or just curious about data, "Python Beyond Excel" is your gateway to the next level of data analysis.


What is needed to take this course

To make the most of "Python Beyond Excel," learners should have a basic understanding of Excel functionalities and some familiarity with data analysis concepts. While prior experience with Python is beneficial, it's not mandatory, as the course is structured to accommodate both beginners and intermediate users. All you need is a computer with Python installed and an eagerness to expand your data analysis toolkit.


Who is this course for

Business analysts, finance professionals, and data enthusiasts who frequently use Excel for data manipulation will find "Python Beyond Excel" immensely beneficial. Additionally, students and researchers looking to enhance their data analysis capabilities will gain valuable insights from this course.


Details of what you will learn in this course

By the end of this course, you will:


  • Master Python basics for data analysis.
  • Transition from Excel functions to Python.
  • Implement advanced data manipulation techniques.
  • Visualize data using Python libraries.
  • Apply string functions for data cleaning.



What you get with the course


  • An hour of self-paced video training
  • Resource Pack
  • One Quiz


Program Level



Field(s) of Study

Data Science, Business Analytics, and Programming


Instruction Delivery Method


QAS Self-study


***This course was published in October 2023


Enterprise DNA is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website:

What our

Students Say

Course Overview






Data Preparation and Transformation


Custom Functions and Data Analysis


Advanced Data Querying and Manipulation


Final Objective Tasks


Conclusion and Next Steps


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Gaelim Holland

Enterprise DNA Expert

  • Innovative Data Analyst and Digital Channel Optimization Specialist with thorough knowledge of Omni channel analytics and incorporating online and offline data in funnel analysis.
  • Skilled in maximizing online sales, revenue, and call-to-actions through conversion rate optimization, statistical science, and A/B testing. Deep expertise in statistical testing tools, data extraction, and data science.
  • My 15 year career has allowed me to work in multiple data science roles in several industries at organizations from the startup level to Fortune 500 companies across 3 continents.

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