Data Analytics for Beginners — PickAClass
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★ 4.0 (4) ⏱ 3h 4m 📚 30 lessons 🎧 Audio version

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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  • 🌐 In English
    Lessons, tasks and certificate — all fully in your language.

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. 5 lessons · 30 min
  1. What is Data Analysis?
    Defining data analysis as the process of turning raw facts into actionable insights.    6 min
  2. The Role of a Data Analyst
    Understanding what an analyst does daily and how they impact business decisions.    6 min
  3. The Language of Data
    Introduction to key industry terminology like metrics, dimensions, and KPIs.    6 min
  4. Quantitative vs. Qualitative Data
    Distinguishing between numerical data and descriptive, non-numerical information.    6 min
  5. 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. 5 lessons · 31 min
  1. Introduction to Spreadsheet Tools
    Getting familiar with the interface of Excel and Google Sheets.    7 min
  2. Methods of Data Collection
    Exploring how data is gathered from surveys, logs, and databases.    6 min
  3. Importing Data
    How to bring external data files (CSV, TXT) into your spreadsheet.    6 min
  4. Rows, Columns, and Cells
    Organizing raw data into a structured table format for analysis.    6 min
  5. 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. 5 lessons · 30 min
  1. Why Cleaning is Crucial
    Understanding that 'garbage in equals garbage out' in data analysis.    6 min
  2. Handling Missing Values
    Learning strategies for dealing with empty cells or incomplete records.    6 min
  3. Removing Duplicates
    Identifying and deleting redundant entries to prevent skewed results.    6 min
  4. Standardizing Text and Dates
    Fixing inconsistent naming conventions and date formats.    6 min
  5. 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. 5 lessons · 31 min
  1. Structured Problem Solving
    Breaking down a complex business problem into small, data-driven questions.    7 min
  2. Query Logic: Filtering
    Using logical conditions to view only the data that meets specific criteria.    6 min
  3. Query Logic: Sorting
    Arranging data to identify patterns, extremes, and outliers.    6 min
  4. Basic Formulas for Analysis
    Using SUM, AVERAGE, and COUNT to summarize data sets.    6 min
  5. 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. 5 lessons · 32 min
  1. Power of Visual Communication
    Understanding why the brain processes charts faster than tables.    6 min
  2. Choosing the Right Chart
    Selecting between bar charts, line graphs, and pie charts based on the data.    7 min
  3. Creating Your First Visualization
    Step-by-step guide to building a chart in a spreadsheet.    7 min
  4. Design Principles for Data
    Using color, labels, and titles to make charts easy to understand.    6 min
  5. 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. 5 lessons · 30 min
  1. Real-World Data Processing
    Walking through a case study of how a company uses data to solve a problem.    7 min
  2. Data Storytelling
    Narrating the journey from the initial question to the final solution.    6 min
  3. Communicating with Stakeholders
    How to explain technical findings to non-technical audiences.    6 min
  4. Avoiding Common Pitfalls
    Identifying bias and misleading visualizations in your work.    6 min
  5. 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

  • 📜 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 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.

P
PickAClass
Skills profile · verifiable
Document
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
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 (4)

Aada Heikkinen FI Verified learner
★ 4 · October 23, 2026

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.

Елена Васильева RU Verified learner
★ 3 · September 10, 2026

Decent introduction. The structure was logical, but I wish there had been more hands-on practice beyond the basic examples.

Daniela Cruz EC Verified learner
★ 5 · August 15, 2026

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

Valeria Herrera CO
★ 4 · June 16, 2026

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.

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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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