Excel to Python for Data Analysis

An outline of this training course

This course is designed for professionals familiar with Excel and eager to harness the capabilities of Python for advanced data analysis. It bridges the gap between spreadsheet formulas and Python scripts, offering a seamless transition for those looking to elevate their data manipulation skills. 

Dive into Python basics, explore its powerful libraries like pandas, and learn how to visualize data in ways Excel can't achieve. 

By the end, you'll be equipped to perform complex data operations, create stunning visualizations, and automate tasks, all with the power of Python. Whether you're an analyst, accountant, or data enthusiast, this course will transform the way you handle data. 

What are needed to take this course 

• Basic understanding of Excel functionalities and spreadsheet operations.
  
• Familiarity with general data concepts (beneficial but not mandatory).
  
• No prior experience with Python required.
  

Who is this course for

• Excel Professionals: Those who rely heavily on Excel for data analysis and are looking to expand their toolset.
  
• Data Analysts: Individuals seeking to enhance their data manipulation and visualization skills with Python.
  
• Business Professionals: Managers, accountants, and strategists aiming to harness Python for better data insights.
  
• Academics and Researchers: Those in academia or research fields wanting to transition from spreadsheets to more robust data analysis tools.
  
• Data Enthusiasts: Anyone curious about the capabilities of Python in comparison to traditional spreadsheet tools.
  

Details of what you will learn during this course

By the end of this course, you will:

• Understand Python basics and its comparison to Excel.
  
• Master data manipulation using pandas.
  
• Implement effective data-cleaning techniques.
  
• Visualize data using Python libraries.
  
• Conduct advanced data analysis with Python.
  

What you get with the course

An hour of self-paced video training

Program Level

Intermediate

Field(s) of Study

Computer Software & App

Instruction Delivery Method

QAS Self-study

***This course was published in September 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: www.nasbaregistry.org