BC Skills Academy

Data Analytics Foundations

Read, clean, summarise and question data with confidence

Key facts

About the Data Analytics Foundations certification

A foundation-level certification that builds a clear, working mental model of data analytics from zero. You will learn what data analytics actually is and how the analytics lifecycle moves from question to data to insight to decision; the difference between structured, semi-structured, and unstructured data; how to classify variables by data type and measurement scale (nominal, ordinal, interval, ratio) and why the scale dictates which statistics are valid; the core of descriptive statistics — mean, median, and mode, the spread captured by variance, standard deviation, and percentiles, and when each measure tells the truth; where data comes from and how it is collected; the discipline of data cleaning and quality — handling missing values, outliers, and duplicates; the four types of analytics (descriptive, diagnostic, predictive, prescriptive) and the question each answers; the basics of choosing the right chart for the message; the trade-offs between spreadsheets and databases; an introduction to querying data with SQL; the critical distinction between correlation and causation; how KPIs and metrics turn goals into measurable signals; and the essentials of data ethics and privacy. The certification is tool-neutral — every concept maps cleanly onto spreadsheets, SQL, Python or R, and modern BI tools — so the understanding transfers wherever you go next. It is the natural first step before more specialised data and analytics certifications.

Course outline

The Data Analytics Foundations — Illustrated Study Guide course covers:

  1. What Data Analytics Is, and the Lifecycle — From a working definition of data analytics to the lifecycle that moves a project from question to data to insight to decision, and the kinds of… (3 lessons)
  2. Measurement Scales and Descriptive Statistics — The four measurement scales and why they dictate valid statistics; central tendency (mean, median, mode); and spread (variance, standard deviation… (3 lessons)
  3. Data Collection, Cleaning, and Quality — Where data comes from, the dimensions of data quality, and a practical cleaning pipeline for missing values, outliers, and duplicates. (3 lessons)
  4. From Insight to Decision — The four analytics types, choosing the right chart, querying data with SQL, the correlation-versus-causation trap, KPIs, and the essentials of data… (3 lessons)

Frequently asked questions

Is the Data Analytics Foundations certificate verifiable?
Yes. Every certificate issued by BC Skills Academy carries a unique credential ID that anyone can check on the public verification page.
How is the Data Analytics Foundations exam structured?
It is a timed, randomized multiple-choice exam of 40 questions in 55 minutes, graded instantly; you need 70% to pass.
Can I get a refund?
Full refund within 7 days of purchase if you have not started the exam. Once the exam has been started or completed, the purchase is no longer refundable.

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