Introduction to Data Science
*Data and Data science
*Data and datasets
*Collecting and preparing
Analyzing data using Statistics
*Discriptive statistics
*Statistical measurment
*Probability distributions
*Inferential statistics
*Regression Analysis
Predicting and Modeling using Data
*Time series and Forecasting
*Decision-Making using Machine Learning
*Deep learning and AI
Maintaining professional and ethical Data Science practice
*Ethics throughout data science cycle
*Visualizing data
*Reporting results
Using Technology for Data Science
*Spreadsheets for Data Science
*Python programming for Data science
*R programming for Data Science
