**Chapter 1 – Introduction to Data Literacy**: Get introduced to the importance and principles of data literacy in today’s world.**Chapter 2 – Types of Data**: Understand different types of data: structured & unstructured, numerical, categorical, ordinal, and more.**Chapter 3 – Data Collection**: Learn about data collection methodologies, reliability, and bias.**Chapter 4 – Data Cleaning**: Master ways to check data quality, clean, and preprocess data before analysis.**Chapter 5 – Data Visualization Basics**: Understand the power of visual communication through charts, graphs, and data dashboards.**Chapter 6 -Using Excel for Data Analysis**: Familiarize yourself with Excel functions and formulas needed for basic data manipulation.**Chapter 7 – Introduction to SQL**: Get an introduction to SQL, and understand how it’s used to query databases and retrieve data.**Chapter 8 – Statistical Analysis Basics**: Learn key statistical concepts necessary for data analysis, including mean, median, mode and standard deviation.**Chapter 9 – Correlations and Regression**: Understand how variables relate with each other and study regression analysis.**Chapter 10 – Probability Concepts**: Refresh your knowledge of key probability concepts used in data analysis.**Chapter 11 – Hypothesis Testing and Confidence Intervals**: Learn to determine significance of data and its conformity to hypothesis using tests and confidence intervals.**Chapter 12 – Introduction to R**: Get acquainted with R, a major tool for data manipulation, analysis, and visualization.**Chapter 13 – Introduction to Python for Data Science**: Learn basics of Python with frameworks like pandas, numpy and matplotlib for data science.**Chapter 14 – Real-life Applications of Data Literacy**: Discover how data literacy skills apply to real-world scenarios across different sectors, from healthcare to economics.- Upon completing this course, you’ll have the tools to make informed, data-backed decisions. You’ll be the human behind the data, the one who interprets, understands, and puts it to good use. So let’s dive in and begin decoding!