It's a good course if you have some prior knowledge. For absolute beginners, some concepts might be a bit challenging. The structure is logical, though.
Data Analytics for Beginners
Master the fundamental concepts of data analytics and learn how to turn raw data into actionable insights.
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About this course
In today's digital world, data is everywhere, but making sense of it can feel overwhelming. Whether you want to understand business trends or solve everyday problems, knowing how to interpret data is an essential skill.
This course will take you from absolute novice to confident data explorer, equipping you with the foundational tools to gather, clean, and analyze information effectively.
What you'll learn:
• Understand key data analytics terminology and fundamental concepts.
• Learn how to collect, clean, and organize raw data for analysis.
• Master basic data visualization techniques to present your findings clearly.
• Apply structured thinking to solve problems using data-driven insights.
• Practice using standard spreadsheet tools and foundational query logic.
You will start by exploring the core definitions of data analysis before moving into hands-on exercises that show you how data is processed in the real world. Step-by-step, you will build a solid toolkit for interpreting and communicating information.
This course is designed entirely for beginners, requiring no prior experience in tech, advanced math, or analytics. Start your journey into data analytics today and unlock the power of information.
Course contents
6 modules · 30 lessons · 3h 4m
1
Foundations of Data Analysis
Understand the core definitions and the role of a data analyst.
- What is Data Analysis?
Defining data analysis as the process of turning raw facts into actionable insights.6 min - The Role of a Data Analyst
Understanding what an analyst does daily and how they impact business decisions.6 min - The Language of Data
Introduction to key industry terminology like metrics, dimensions, and KPIs.6 min - Quantitative vs. Qualitative Data
Distinguishing between numerical data and descriptive, non-numerical information.6 min - The Data Life Cycle
Overview of the stages data goes through from creation to archiving.6 min
2
Gathering and Organizing Data
Learn how to collect and structure data using spreadsheet tools.
- Introduction to Spreadsheet Tools
Getting familiar with the interface of Excel and Google Sheets.7 min - Methods of Data Collection
Exploring how data is gathered from surveys, logs, and databases.6 min - Importing Data
How to bring external data files (CSV, TXT) into your spreadsheet.6 min - Rows, Columns, and Cells
Organizing raw data into a structured table format for analysis.6 min - Basic Data Formatting
Using cell formatting to make raw data readable and consistent.6 min
3
The Art of Data Cleaning
Master the techniques to ensure data accuracy and reliability.
- Why Cleaning is Crucial
Understanding that 'garbage in equals garbage out' in data analysis.6 min - Handling Missing Values
Learning strategies for dealing with empty cells or incomplete records.6 min - Removing Duplicates
Identifying and deleting redundant entries to prevent skewed results.6 min - Standardizing Text and Dates
Fixing inconsistent naming conventions and date formats.6 min - Data Validation Basics
Setting rules to ensure only the correct type of data is entered.6 min
4
Structured Thinking and Logic
Apply logical frameworks to extract insights from data.
- Structured Problem Solving
Breaking down a complex business problem into small, data-driven questions.7 min - Query Logic: Filtering
Using logical conditions to view only the data that meets specific criteria.6 min - Query Logic: Sorting
Arranging data to identify patterns, extremes, and outliers.6 min - Basic Formulas for Analysis
Using SUM, AVERAGE, and COUNT to summarize data sets.6 min - Turning Data into Insights
Moving from looking at numbers to explaining what they mean for a business.6 min
5
Visualizing Your Findings
Learn to present data visually for maximum impact.
- Power of Visual Communication
Understanding why the brain processes charts faster than tables.6 min - Choosing the Right Chart
Selecting between bar charts, line graphs, and pie charts based on the data.7 min - Creating Your First Visualization
Step-by-step guide to building a chart in a spreadsheet.7 min - Design Principles for Data
Using color, labels, and titles to make charts easy to understand.6 min - Presenting Data Clearly
Techniques for highlighting the most important part of your visual.6 min
6
Real-World Application
Synthesize all skills into a final communication strategy.
- Real-World Data Processing
Walking through a case study of how a company uses data to solve a problem.7 min - Data Storytelling
Narrating the journey from the initial question to the final solution.6 min - Communicating with Stakeholders
How to explain technical findings to non-technical audiences.6 min - Avoiding Common Pitfalls
Identifying bias and misleading visualizations in your work.6 min - Your Journey Ahead
Next steps for continuing your education in the world of data analytics.5 min
Final project
The 'Everyday Problem' Data Report
You will take a messy raw dataset (e.g., a month of personal spending or a small business sales log), clean it, analyze it to find one major trend, and create a one-page visual report.
What you'll get
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Certificate of completion
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Personal AI tutor
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Audio version included
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Lifetime access
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14-day refund
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Short & focused
3h 4m 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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PickAClass
Skills profile · verifiable
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Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Data Analytics for Beginners
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
Data Analytics for Beginners
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
Reviews (4)
Hmm, I'm not sure this is for absolute beginners. It assumes a bit of prior knowledge that wasn't explicitly taught. Some examples were confusing.
Decent introduction. The structure was logical, but I wish there had been more hands-on practice beyond the basic examples.
Brilliant course! The flow of information was perfect, and the examples really solidified the concepts. Loved it!
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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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