Excel Foundations and Modern Data Analysis Techniques — PickAClass
⏱ 2h 30m 📚 25 lessons 🎧 Audio version

Excel Foundations and Modern Data Analysis Techniques

Master essential Excel features and modern data analysis tools to organize, calculate, and extract insights from your tables with confidence.

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  • 🕐 Start anytime
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  • 🌐 In English
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About this course

In today's data-driven world, the ability to quickly organize and analyze information is a crucial skill. Excel remains the industry standard for managing data, but many users only scratch the surface of its capabilities. This course guides you from the absolute basics of spreadsheet navigation to modern data analysis techniques. You will transition from manually sorting rows to leveraging intelligent features that instantly summarize your data, helping you make informed decisions quickly. What you'll learn: Understand fundamental Excel terminology, interface navigation, and data entry rules; Apply essential formulas and mathematical functions to perform accurate calculations; Format tables professionally to improve readability and structure; Utilize the Quick Analysis tool to instantly generate totals and conditional formatting; Sort, filter, and organize large datasets to extract meaningful trends; Explore modern data functions and dynamic arrays for more efficient workflows. The course begins with foundational concepts and essential terminology before moving on to practical formulas, formatting, and modern analysis tools. Through clear explanations and written exercises, you will build a solid practical foundation step-by-step. This course is designed for beginners who are new to Excel or those looking to refresh their skills with modern data analysis features. No prior spreadsheet experience is required. Start reading today to unlock the full potential of your data.

Course contents

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • 🎧 Audio version included
    Learn on the go — no screen needed
  • ♾️ Lifetime access
    Come back anytime, no expiry
  • 📱 Phone or computer
    Works anywhere, any device
  • 💸 14-day refund
    No questions asked
  • ⚡ Short & focused
    2h 30m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Excel Foundations and Modern Data Analysis Techniques
Skills demonstrated
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Behavioral pattern analysis
Foundational
1.2 hrs
✓
Decision-architecture frameworks
Proficient
1.4 hrs
✓
A/B test design
Proficient
1.7 hrs
✓
Behavioral copywriting
Advanced
1.9 hrs
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PickAClass — Name Surname
Excel Foundations and Modern Data Analysis Techniques
Page 2 of 2
Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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Frequently asked

What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe. We don’t store card details — Stripe handles them securely.

Can I get a refund? +

Yes — full refund within 14 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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