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Understanding Data Basics for Beginners
( 25 Modules )

Module #1
Introduction to Data
Understanding what data is, its importance, and its applications

Module #2
Types of Data
Exploring qualitative, quantitative, and categorical data

Module #3
Data Sources
Discovering primary, secondary, and tertiary data sources

Module #4
Data Collection Methods
Learning about surveys, observations, and experiments

Module #5
Data Preparation
Cleaning, transforming, and formatting data for analysis

Module #6
Data Visualization Fundamentals
Understanding the importance of visualizing data

Module #7
Charts and Graphs
Creating effective charts and graphs to communicate data insights

Module #8
Descriptive Statistics
Measuring central tendency and variability

Module #9
Measures of Central Tendency
Calculating mean, median, and mode

Module #10
Measures of Variability
Understanding range, variance, and standard deviation

Module #11
Data Distribution
Exploring normal, skewed, and bimodal distributions

Module #12
Outliers and Missing Values
Handling and dealing with outliers and missing values

Module #13
Inferential Statistics
Making inferences about populations from samples

Module #14
Sampling Methods
Understanding random, stratified, and systematic sampling

Module #15
Hypothesis Testing
Formulating hypotheses and testing for significance

Module #16
Confidence Intervals
Estimating population parameters with confidence intervals

Module #17
Data Analysis Tools
Exploring Excel, Google Sheets, and other data analysis tools

Module #18
Data Storytelling
Communicating insights and results effectively

Module #19
Data Ethics
Understanding bias, privacy, and ethics in data collection and analysis

Module #20
Big Data and Data Science
Introduction to big data, machine learning, and data science

Module #21
Data Storage and Management
Exploring databases, data warehouses, and data lakes

Module #22
Data Quality and Governance
Ensuring data quality and implementing data governance

Module #23
Common Data Mistakes
Avoiding common errors and pitfalls in data analysis

Module #24
Real-World Applications
Exploring data applications in business, healthcare, and more

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Understanding Data Basics for Beginners career

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