Introduction to Analytics:

• What is analytics?

• Why is analytics important?

• Types of analytics (descriptive, predictive, prescriptive)

Data Fundamentals:

• Understanding data types (numerical, categorical, ordinal)

• Data collection methods

• Data quality and cleaning

Exploratory Data Analysis:

• Summarizing data (mean, median, mode, variance, standard deviation)

• Data visualization techniques (histograms, scatter plots, box plots)

• Identifying patterns and outliers