Excel Data Analytics and Visualization — PickAClass
★ 4.2 (6) ⏱ 3h 📚 29 lessons 🎧 Audio version

Excel Data Analytics and Visualization

Learn to transform raw datasets into meaningful insights using modern analysis techniques and interactive reporting tools.

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About this course

In a professional landscape driven by information, the ability to interpret and present data is an essential skill. This course provides a structured path for anyone looking to move beyond simple spreadsheets and into the world of data analytics. You will learn how to handle complex datasets, identify trends, and communicate findings through clear, professional reporting. By following this written program, you will gain the confidence to manage large volumes of information and turn them into actionable business intelligence. You will progress from foundational terminology to building sophisticated data models that solve real-world problems. What you'll learn: - Understand foundational data concepts and essential spreadsheet terminology for analytics - Apply Power Query to import, clean, and automate the transformation of messy datasets - Master dynamic arrays and modern formulas to perform complex calculations with ease - Create interactive data summaries using PivotTables and advanced filtering logic - Design effective charts and visualizations that communicate key performance indicators - Practice data modeling techniques to prepare information for high-level analysis The course begins with a thorough introduction to data integrity and organization before moving into advanced manipulation and professional visualization strategies. This material is designed specifically for beginners who have no prior experience in data science or advanced analytics. Start building your data analysis toolkit through these comprehensive written lessons.

Course contents

6 modules · 29 lessons · 3h

1 Data Foundations and Integrity
Understand how to structure data correctly before analysis.
5 lessons · 30 min
  1. Welcome and Essential Terminology
    Introduction to key terms in data analysis and the Excel environment.
    6 min
  2. Data Integrity: Golden Rules
    How to ensure data is accurate, consistent, and ready for processing.
    6 min
  3. Data Types and Formatting
    Distinguishing between numbers, text, and dates to avoid calculation errors.
    6 min
  4. Organizing Data into Tables
    The benefits of using the Table object compared to simple ranges.
    6 min
  5. Managing Large Volumes of Information
    Strategies for navigating and managing datasets with thousands of rows without losing control.
    6 min
2 Power Query: Cleaning and Automation
Learn how to import and transform raw data automatically.
5 lessons · 33 min
  1. What is Power Query and Why Use It
    Understanding the ETL (Extract, Transform, Load) workflow in Excel.
    6 min
  2. Importing Data from Different Sources
    How to connect Excel to CSV files, folders, or other Excel files.
    7 min
  3. Cleaning Messy Datasets
    Removing duplicates, handling null values, and correcting incorrect formats.
    7 min
  4. Advanced Transformations in Power Query
    Splitting columns, merging tables, and pivoting data in the editor.
    7 min
  5. Refresh Automation
    Setting up the system so that cleaning happens with a single click when data changes.
    6 min
3 Modern Formulas and Dynamic Arrays
Use new Excel functions for flexible calculations.
5 lessons · 31 min
  1. Introduction to Dynamic Arrays
    Understanding the concept of 'spilling' and how a formula can populate multiple cells.
    6 min
  2. Filtering Data with Formulas
    Using the FILTER function to extract specific data dynamically.
    6 min
  3. Sorting and Unique Values
    Using UNIQUE and SORT to create clean and updated lists.
    6 min
  4. Modern Formulas for Complex Calculations
    Combining functions like XLOOKUP and LET for advanced and readable analysis.
    7 min
  5. Error Handling in Formulas
    Using IFERROR and other logic to keep reports clean.
    6 min
4 Analysis with Pivot Tables
Summarize large amounts of data into meaningful summaries.
5 lessons · 30 min
  1. Creating Your First Pivot Table
    Transforming rows of data into a structured summary by category.
    6 min
  2. Grouping and Aggregation
    Analyzing data by month, year, or value ranges.
    6 min
  3. Calculated Fields and Percentage Analysis
    Going beyond the sum: calculating percentage shares and variances.
    6 min
  4. Advanced Filtering Logic: Slicers
    Using Slicers to make reports interactive.
    6 min
  5. Timelines for Temporal Analysis
    Filtering data based on time with a dedicated visual tool.
    6 min
5 Data Modeling
Connecting different tables for high-level analysis.
4 lessons · 25 min
  1. Introduction to Data Modeling
    Why linking multiple tables is better than using a thousand VLOOKUPs.
    6 min
  2. Creating Relationships Between Tables
    Defining primary keys and one-to-many relationships in the Data Model.
    7 min
  3. Introduction to Measures (Basic DAX)
    Creating smart calculations that work across the entire data model.
    6 min
  4. Preparing for High-Level Analysis
    Optimizing the model to support strategic business decisions.
    6 min
6 Professional Visualization and Reporting
Communicating results clearly and with impact.
5 lessons · 31 min
  1. Chart Design Principles
    Choosing the right chart for the right message and avoiding visual clutter.
    6 min
  2. Visualizing KPIs
    Creating immediate visual indicators to monitor business performance.
    6 min
  3. Building a Business Intelligence Dashboard
    Assembling tables, charts, and filters into a single interactive report.
    7 min
  4. Data Storytelling
    How to present results to drive management action.
    6 min
  5. Exporting and Sharing
    Best practices for distributing reports securely and professionally.
    6 min
Final project

Business Dashboard: From Import to Decision

Students will receive three raw files (Sales, Products, Customers) and must build a complete analysis system.

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
    3h 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.

P
PickAClass
Skills profile · verifiable
Document
Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Excel Data Analytics and Visualization
Skills demonstrated
✓
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
P
PickAClass — Name Surname
Excel Data Analytics and Visualization
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.

Reviews (6)

Javier Mendoza MX Verified learner
★ 5 · September 19, 2026

This exceeded my expectations. The lessons flowed logically and the real-world applications were spot on. Great job!

Ei Ei Phyo MM
★ 5 · July 15, 2026

Brilliant course! The flow of information was perfect, and the examples really solidified the concepts. Loved it!

Isabella Davis US Verified learner
★ 4 · June 21, 2026

It's a solid course. The structure is logical and most of the examples were helpful. Could use a few more real-world scenarios though.

Noah Wagner DE
★ 4 · June 7, 2026

Really enjoyed this course. The structure made it easy to follow, and the content was super engaging.

Elijah Brown NZ Verified learner
★ 4 · June 4, 2026

This course exceeded my expectations! The examples were super relevant and helped solidify the concepts. Highly enjoyable.

Rukmani Perera LK Verified learner
★ 3 · May 26, 2026

Thoroughly enjoyed this course. The way the information was presented was excellent, and the practical applications were highlighted effectively. Great job!

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