Intro to Data Analysis

          Module 1: Introduction to Data Analysis

Section 1: What is Data?
- Lesson 1: Understanding Data
  Module 1, Section 1, Lesson 1: An introduction to the idea of data and its role in everyday life.
- Lesson 2: The Importance of Data
  Module 1, Section 1, Lesson 2: Exploring why data matters and how it helps us make decisions.

Section 2: Data in Our World
- Lesson 1: Data in Daily Activities
  Module 1, Section 2, Lesson 1: Recognizing examples of data collection in everyday situations.
- Lesson 2: Observing Data Around Us
  Module 1, Section 2, Lesson 2: Learning to notice and record information from the environment.

Section 3: Basic Data Terminology
- Lesson 1: Key Data Terms
  Module 1, Section 3, Lesson 1: Defining simple terms like data, facts, and figures.
- Lesson 2: Why Terminology Matters
  Module 1, Section 3, Lesson 2: Understanding how clear language helps us communicate about data.

Section 4: Introducing Data Tools
- Lesson 1: Tools for Collecting Data
  Module 1, Section 4, Lesson 1: Overview of simple tools like surveys and observations.
- Lesson 2: Tools for Recording Data
  Module 1, Section 4, Lesson 2: Learning how to organize data using charts and tables.

Section 5: Review and Exploration
- Lesson 1: Recapping What We’ve Learned
  Module 1, Section 5, Lesson 1: Reviewing key concepts from the module.
- Lesson 2: Interactive Data Exploration
  Module 1, Section 5, Lesson 2: Engaging in a hands-on activity to practice observing and recording data.


Module 2: Collecting Data

Section 1: Methods of Data Collection
- Lesson 1: Surveys and Questionnaires
  Module 2, Section 1, Lesson 1: Learning how to design and use surveys to gather information.
- Lesson 2: Using Interviews for Data
  Module 2, Section 1, Lesson 2: Exploring simple interview techniques for collecting qualitative data.

Section 2: Observational Data
- Lesson 1: Observing with a Purpose
  Module 2, Section 2, Lesson 1: Teaching how to focus observation to collect useful data.
- Lesson 2: Recording Observations
  Module 2, Section 2, Lesson 2: Methods for capturing what you observe in a clear way.

Section 3: Sampling Basics
- Lesson 1: What is a Sample?
  Module 2, Section 3, Lesson 1: Introducing the concept of sampling and why it’s used.
- Lesson 2: Simple Sampling Methods
  Module 2, Section 3, Lesson 2: Learning techniques to select a small part of a larger group.

Section 4: Hands-on Data Collection
- Lesson 1: Field Data Collection Activity
  Module 2, Section 4, Lesson 1: Engaging in an outdoor or classroom activity to collect data.
- Lesson 2: Organizing Your Findings
  Module 2, Section 4, Lesson 2: Learning how to neatly record and organize the collected data.

Section 5: Ethics in Data Collection
- Lesson 1: Being Honest with Data
  Module 2, Section 5, Lesson 1: Understanding the importance of truthful data collection.
- Lesson 2: Respect and Responsibility
  Module 2, Section 5, Lesson 2: Discussing respectful practices when gathering information from others.


Module 3: Organizing Data

Section 1: Data Types and Formats
- Lesson 1: Different Types of Data
  Module 3, Section 1, Lesson 1: Identifying various kinds of data such as numbers, words, and pictures.
- Lesson 2: Representing Data in Tables
  Module 3, Section 1, Lesson 2: Learning how to display data neatly in table form.

Section 2: Creating Simple Tables
- Lesson 1: How to Build a Table
  Module 3, Section 2, Lesson 1: Step-by-step instructions for making your own data table.
- Lesson 2: Reading Tables
  Module 3, Section 2, Lesson 2: Practicing reading and interpreting information from tables.

Section 3: Visual Representations
- Lesson 1: Introduction to Graphs
  Module 3, Section 3, Lesson 1: Learning the basics of graphs to represent data visually.
- Lesson 2: Drawing Bar Graphs
  Module 3, Section 3, Lesson 2: Hands-on practice creating simple bar graphs.

Section 4: Sorting and Filtering
- Lesson 1: The Importance of Sorting Data
  Module 3, Section 4, Lesson 1: Understanding how organizing data makes it easier to understand.
- Lesson 2: Simple Filtering Techniques
  Module 3, Section 4, Lesson 2: Learning methods to sort through data for key information.

Section 5: Checking Data Quality
- Lesson 1: Ensuring Accuracy in Your Data
  Module 3, Section 5, Lesson 1: Methods to check and verify data correctness.
- Lesson 2: Finding and Fixing Errors
  Module 3, Section 5, Lesson 2: Identifying common mistakes in data recording and how to correct them.


Module 4: Analyzing Data

Section 1: Basic Descriptive Statistics
- Lesson 1: What is an Average?
  Module 4, Section 1, Lesson 1: Introducing the concept of the average (mean) as a simple summary of data.
- Lesson 2: Exploring the Median
  Module 4, Section 1, Lesson 2: Learning how the median provides a middle value in a dataset.

Section 2: Recognizing Patterns
- Lesson 1: Looking for Patterns in Data
  Module 4, Section 2, Lesson 1: Techniques to identify trends and similarities in data sets.
- Lesson 2: Recognizing Trends Over Time
  Module 4, Section 2, Lesson 2: Observing how data can change and what trends may indicate.

Section 3: Comparing Data Sets
- Lesson 1: How to Compare Different Data Sets
  Module 4, Section 3, Lesson 1: Learning methods to compare simple groups of information.
- Lesson 2: Tallying and Counting Data
  Module 4, Section 3, Lesson 2: Hands-on practice using tallies and counts in data analysis.

Section 4: Understanding Data Relationships
- Lesson 1: Simple Chart Analysis
  Module 4, Section 4, Lesson 1: Learning to read and understand charts that show data relationships.
- Lesson 2: Observing Connections
  Module 4, Section 4, Lesson 2: Identifying basic relationships between different pieces of data.

Section 5: Data Analysis Activity
- Lesson 1: Hands-On Data Analysis
  Module 4, Section 5, Lesson 1: Participating in an interactive activity to analyze a small dataset.
- Lesson 2: Interpreting Your Results
  Module 4, Section 5, Lesson 2: Learning to draw simple conclusions from the analyzed data.


Module 5: Communicating Your Findings

Section 1: Creating a Data Story
- Lesson 1: What is a Data Story?
  Module 5, Section 1, Lesson 1: Exploring how data can be used to tell an interesting story.
- Lesson 2: Using Data to Support Your Story
  Module 5, Section 1, Lesson 2: Basic techniques to weave data into a clear narrative.

Section 2: Visual Presentation Skills
- Lesson 1: Designing Simple Charts and Graphs
  Module 5, Section 2, Lesson 1: Reviewing the basics of creating clear, easy-to-read visuals.
- Lesson 2: Enhancing Visuals with Colors and Labels
  Module 5, Section 2, Lesson 2: Learning how small design changes can improve data presentation.

Section 3: Written Communication
- Lesson 1: Summarizing Data in Writing
  Module 5, Section 3, Lesson 1: Tips for writing a simple summary of your data findings.
- Lesson 2: Presenting Conclusions Clearly
  Module 5, Section 3, Lesson 2: Learning how to explain what the data means in plain language.

Section 4: Oral Presentation Techniques
- Lesson 1: Communicating Data Verbally
  Module 5, Section 4, Lesson 1: Basic skills for discussing data outcomes in a presentation.
- Lesson 2: Preparing a Mini Presentation
  Module 5, Section 4, Lesson 2: Guided practice in creating and delivering a short data talk.

Section 5: Review and Showcase
- Lesson 1: Final Project—Data Showcase
  Module 5, Section 5, Lesson 1: Bringing together what has been learned in a final hands-on project.
- Lesson 2: Course Wrap-up and Future Steps
  Module 5, Section 5, Lesson 2: Reviewing the journey and discussing ways to continue exploring data analysis.