;%20}%20%3c/style%3e%3clinearGradient%20id='linear-gradient'%20x1='2.99'%20y1='29.35'%20x2='127.75'%20y2='101.39'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20offset='0'%20stop-color='%23f2b347'%20/%3e%3cstop%20offset='.5'%20stop-color='%23ca5a8b'%20/%3e%3cstop%20offset='1'%20stop-color='%236654f5'%20/%3e%3c/linearGradient%3e%3c/defs%3e%3cg%20id='Layer_1-2'%20data-name='Layer%201'%3e%3cpath%20class='cls-1'%20d='M83.56,0H47.18C21.12,0,0,21.12,0,47.18v36.38c0,26.06,21.12,47.18,47.18,47.18h36.38c26.06,0,47.18-21.12,47.18-47.18V47.18C130.74,21.12,109.62,0,83.56,0ZM20.62,48.64c2.84-2.84,6.59-4.23,10.32-4.17,3.82,.07,7.55-1.1,10.25-3.8l.56-.56c2.7-2.7,3.86-6.43,3.8-10.25-.07-3.73,1.32-7.47,4.17-10.32,6.18-6.18,16.66-5.48,21.88,2.11,3.18,4.62,3.27,10.96,.19,15.64-3.02,4.6-7.92,6.78-12.72,6.54-3.51-.17-6.95,.99-9.43,3.48l-1.24,1.24c-2.48,2.48-3.65,5.92-3.48,9.43,.24,4.8-1.94,9.7-6.54,12.72-4.68,3.08-11.03,2.99-15.64-.19-7.6-5.23-8.29-15.7-2.11-21.88Zm33.7,34.25c-2.7,2.7-3.86,6.43-3.8,10.25,.07,3.73-1.32,7.47-4.17,10.32-6.18,6.18-16.66,5.48-21.88-2.11-3.18-4.62-3.27-10.96-.19-15.64,3.02-4.6,7.92-6.78,12.72-6.54,3.51,.17,6.94-.99,9.43-3.48l1.24-1.24c2.48-2.48,3.65-5.92,3.48-9.43-.24-4.8,1.94-9.7,6.54-12.72,4.68-3.08,11.03-2.99,15.64,.19,7.6,5.23,8.3,15.7,2.11,21.88-2.84,2.84-6.59,4.23-10.32,4.17-3.82-.07-7.55,1.1-10.25,3.8l-.56,.56Zm55.8-2.93c-2.96,2.96-6.91,4.35-10.79,4.15-3.51-.17-6.96,.99-9.44,3.48l-1.23,1.23c-2.49,2.49-3.65,5.93-3.48,9.44,.19,3.88-1.19,7.82-4.15,10.79-6.18,6.18-16.66,5.48-21.88-2.11-3.18-4.62-3.27-10.96-.19-15.64,3.02-4.6,7.92-6.78,12.72-6.54,3.51,.17,6.95-.99,9.43-3.48l1.24-1.24c2.48-2.48,3.65-5.92,3.48-9.43-.24-4.8,1.94-9.69,6.54-12.72,4.68-3.08,11.03-2.99,15.64,.19,7.6,5.23,8.3,15.7,2.11,21.88Z'%20/%3e%3c/g%3e%3c/svg%3e)
Excel to Python for Data Analysis
Transform your data approach with Python expertise! Transition from Excel and open the door to limitless possibilities for your projects, seamlessly moving from cells to scripts.
Trusted by 220,000+ people worldwide.
An outline of this training course
This course is for Excel users ready to harness Python for advanced data analysis. Learn Python basics, powerful libraries like pandas, and create visualizations beyond Excel's capabilities. By the end, you'll master complex data operations, stunning visuals, and task automation. Perfect for analysts, accountants, and data enthusiasts looking to transform their data skills. Join us to elevate your data analysis!
What is 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 in 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
What our
Students Say
Curriculum
Course Overview
Resources
Transitioning from Excel to Python
Conclusion and Next Steps
Your
Instructor
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.
Frequently Asked
Questions
What’s the difference between a free account and a paid plan?
Do I need to know anything about data science or data analytics to get started with Enterprise DNA?
How will I be charged?
Can I get an invoice for my company?
Are refunds available?
Will AI take over the world and make data skills worthless?
Recommended
Courses
Power BI Workshop
Complete Guide to Microsoft Copilot
Beginners Guide to Replit
Get full access to unparalleled
training & skill-building resources
FOR INDIVIDUALS
Enterprise DNA
For Individuals
Empowering the most valuable data analysts to expand their analytical thinking and insight generation possibilities.
Learn MoreFOR BUSINESS
Enterprise DNA
For Business
Training, tools, and guidance to unify and upskill the data analysts in your workplace.
Learn More