Basic Excel navigation is helpful. Use a suitable Excel installation for practice; some features differ between versions. Free video access does not include Microsoft software, CFI membership resources or assessment.
About this course
Learn how to turn a spreadsheet into a useful analysis rather than a collection of numbers. This free Corporate Finance Institute course preserves all six numbered data-analysis classes and the original course preview. It introduces a practical Excel workflow for organising data, investigating a business question and presenting the result clearly.
Course at a glance
| Provider / Teaching team | Corporate Finance Institute |
|---|---|
| Platform | YouTube · Corporate Finance Institute |
| Access | Free Video |
| Level | Beginner |
| Language | English |
| Videos | 7 |
| Video duration | 3h 38m · allow extra time for practice |
| Format | Self-paced recorded training |
| Certificate | Not included with video viewing |
What you’ll learn
- Structure and inspect a dataset before using it to support a business decision.
- Apply Excel tools and formulas to organise and transform information for analysis.
- Use pivot tables and charts to compare data and identify useful patterns.
- Build a clear analytical view that connects a visual result with its underlying data.
Skills you’ll gain
- Excel data analysis
- Data preparation
- Pivot tables
- Spreadsheet formulas
- Data visualization
- Analytical communication
Course Overview
The course follows a complete six-part recorded teaching sequence. Its focus is the journey from raw information to a result another person can understand: organise the workbook, inspect the data, choose an analytical technique and communicate the findings. Excel is useful because calculations and source records can remain visible in one place. The important habit is to connect each transformation with a question and check that the result still represents the original information. This is the publisher’s YouTube video edition. Separate platform exercises, assessments and later curriculum revisions are outside this classroom.
How to study the course
- Begin with Part 1 and keep a practice workbook alongside the lessons. Record what each column represents and identify missing or inconsistent values.
- Move through Parts 2–5 in order. Compare a small manual calculation with the spreadsheet result before applying a technique to the whole dataset.
- Use Part 6 to consolidate the workflow and revisit the preview as an overview. Keep every source recording available when reviewing a difficult step.
Use the searchable classroom lesson list to revisit a specific explanation. Pause after a useful demonstration, reproduce a small example and explain the result in your own words. Keep a short note of what worked, what changed and what you still need to understand before moving on.
Who is this for?
This course suits spreadsheet users, students and early-career analysts who want a more organised approach to business data. It is particularly useful when you can enter information in Excel but need a clearer method for analysing it.
Before you start
Basic Excel navigation is helpful. Use a suitable Excel installation for practice; some features differ between versions. Free video access does not include Microsoft software, CFI membership resources or assessment.
Put the lessons into practice
Create a small invented sales dataset with dates, products, regions, quantities and prices. Add a few deliberate inconsistencies, then document how you identify and resolve them. Build a summary that answers two questions, such as which region produces the most revenue and whether the monthly pattern is stable. Present the result in a simple chart and retain the supporting table. Check several totals manually and write a short note explaining one finding, one limitation and what further information would improve the analysis.
This optional activity is provided by WikiFree for independent practice. It is not a graded assignment from the instructor. Keep your working notes, check the result against the task you defined and return to the relevant lesson when an assumption or technique is unclear.
Certificate / Assessment
Watching the public videos and using WikiFree progress tracking does not award a certificate, exam voucher, academic credit or instructor assessment. Separate CFI platform assessments, CPE credit and certification requirements are not included in this YouTube edition.
Use your practice output to review what you can now explain and repeat independently. Completion tracking records your study progress; it does not replace an assessed qualification or professional experience.
Related courses for your next step
- Explore a higher-level optionExcel Data Analysis: Free Course
Focus: Table organisation · Conditional calculations
Intermediate - Add a related skillFree Simplilearn Course: Microsoft Excel for Data Analysis and Productivity
Focus: Formulas · Data Analysis
Beginner - Compare another approachData Analysis with Python: Free Course
Focus: Python · NumPy
Beginner - Compare another approachFree Data Preparation Course by Google
Focus: Recognize data types and common structures · Assess source credibility and interpret metadata
Beginner - Compare another approachData Analysis with AI for Nonprofits: Free Google Course
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Beginner
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Excel Data Analysis: Free Course | Beginner | Excel data analysis · Data preparation · Pivot tables | 3h 38m of video; practice time is additional |
| Excel Data Analysis: Free Course | Intermediate | Excel data analysis · Table organisation · Conditional calculations | 7h 13m of video; practice time is additional |
| Free Simplilearn Course: Microsoft Excel for Data Analysis and Productivity | Beginner | Formulas · Pivot Tables · Data Analysis | 116h 29m of video; practice time is additional |
| Data Analysis with Python: Free Course | Beginner | Python · NumPy · pandas | 12h 6m of video; practice time is additional |
| Free Data Preparation Course by Google | Beginner | Recognize data types and common structures · Assess source credibility and interpret metadata · Organize data with attention to access and protection | 1h 55m of video; practice time is additional |
| Data Analysis with AI for Nonprofits: Free Google Course | Beginner | Data-quality review · Metric definition · Prompt briefing | 1 hour 15 minutes; official estimate, individual study time varies. |
Frequently asked questions
Is this course free to watch?
Yes. The public video lessons can be viewed in the WikiFree classroom. Free viewing does not include paid software, service subscriptions, provider membership benefits or a credential.
How long does the course take?
The 7 source videos total approximately 3h 38m. Allow additional time for pausing, practice, reviewing an example and checking your own result.
What background do I need?
Basic Excel navigation is helpful. Use a suitable Excel installation for practice; some features differ between versions. Free video access does not include Microsoft software, CFI membership resources or assessment.
Does watching the course award a certificate?
No. Video viewing and WikiFree progress tracking do not award a certificate, credit or an exam voucher.
Can I study on a phone?
Yes. The classroom has a responsive player and searchable lesson list. A larger screen and suitable practice environment are helpful for following software demonstrations or technical examples.
Provider: Corporate Finance Institute. Videos play from the Corporate Finance Institute channel on YouTube.
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