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Intro to Data Literacy
Rating: 4.4 out of 5(9 ratings)
22 students

Intro to Data Literacy

Begin using data driven insights and a structured approach to make better business decisions.
Created byBigger Brains
Last updated 2/2025
English
English

What you'll learn

  • Describe how Data Analytics improves business results
  • List 4 common analytics methodologies
  • Explain how both data science and decision science are needed to achieve business results
  • Describe the benefits of BADIR as a structured approach to problem-solving
  • Define good versus bad data
  • Describe why the 3 analysis questions are used and what they can tell you
  • Use data to tell a simple story that leads from insights to action
  • Define Data Literacy and its impact

Course content

1 section • 10 lectures • 39m total length

  • Introduction2:57

    Explore how data-driven insights boost data literacy and transform decision making through the BADIR framework, from business questions to recommendations, and learn to communicate results clearly as a citizen analyst.

  • Hello Analytics3:39

    Learn to turn data into decisions by distinguishing analytics from business intelligence, exploring dashboards, then applying controlled experiments (AB testing) to derive insights and improve outcomes.

  • Common Analytics Methodologies4:23

    Explore the four common analytics methodologies: aggregate (univariate) analysis, correlation analysis, trend analysis, and sizing and estimation, and learn how they solve about 80% of problems across roles.

  • Data Literacy Section 1-3
  • Introduction to BADIR and Critical Thinking5:11

    Learn how BADIR guides data literacy by turning business questions into data driven decisions through analysis plan, data collection, deriving insights, and actionable recommendations, blending data science with decision science.

  • BADIR - Business Question Framework3:44

    Master the BADIR framework's business question step to uncover intent and business considerations using what, where, how, and when, guiding focused, actionable insights.

  • BADIR - Analysis Plan Step2:46

    In the BADIR analysis plan step, define hypotheses, align stakeholders, and scope resources to identify drivers of conversion dips in the UK launch, with phased prioritization and data-driven criteria.

  • BADIR - Data Collection1:42

    Apply the BADIR data collection step to define good, accurate data—complete, fresh, accessible—from valid sources, and compare test versus control conversions by bug status to accelerate insights.

  • BADIR - Derive Insights5:31

    Derive insights with a structured BADIR framework to identify problems, locate the source, and assess impact. Apply methods from aggregate to AI for actionable results.

  • BADIR - Recommendations6:14

    Learn to craft a single, data-driven story in a concise deck by linking the BADIR hypothesis, analysis, executive summary, and 1–3 recommendations to drive action and impact.

  • Data Analytics Roles3:11

    Explore how data literacy enables everyday decision making through the BADIR framework, citizen analyst roles, and hands on analytics skills from thinking with data to storytelling with insights.

  • Section (4-10)Quiz

Requirements

  • None

Description

Go From Data skeptic to data enthusiast!


Are you a data skeptic? Are you overwhelmed by data? Do you find it difficult to make business decisions? This course is designed to turn data skeptics into data enthusiasts! Our certified analytics professional will prepare you to understand and engage in your organization’s data strategy, create a common framework for problem-solving with data, and employ a common language around basic tools.

This course will prepare you to understand the analytics landscape and use a structured approach to problem-solving.


Topics covered include:

  • Describing the difference between Business Intelligence, Analytics and Testing

  • Distinguishing between four different analytics methodologies

  • Explaining the difference between data science and decision science

  • Applying the BADIR approach to analytics

  • Identifying the benefits and application of each step in the process

  • Communicating results in an effective manner

  • Identifying the different roles available in data analytics


Over 30 minutes of high-quality HD content in the “Uniquely Engaging”TM Bigger Brains Teacher-Learner style!


Objectives. You will be able to:

  • Describe how Data Analytics improves business results

  • List 4 common analytics methodologies

  • Explain how both data science and decision science are needed to achieve business results

  • Describe the benefits of BADIR as a structured approach to problem-solving

  • Define good versus bad data

  • Describe why the 3 analysis questions are used and what they can tell you

  • Use data to tell a simple story that leads from insights to action

  • Define Data Literacy and its impact

Who this course is for:

  • Anyone who want to understand how data can be used in business

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