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Descriptive Statistics — Basics & location parameters
What do we mean by “data”?
Types of data and data types
Stocks vs. flows, levels vs. changes
Absolute and relative differences
The importance of data sources
Missing data
Histograms
Measures of Central Tendency: Ordinal Data
Measures of Central Tendency: Cardinal Data
Measures of Central Tendency: More properties
Quantiles
Statistics conditional on other variables
Descriptive Statistics — Measures of dispersion & concentration
Dispersion based on absolute deviations
Variance and standard deviation
Skewness
Measurement error and summary statistics
Quantile-based concentration measures
Lorenz curves
The Gini coefficient
Descriptive Statistics — Measures for bivariate data
Strategies for summarising bivariate data
Covariances
Correlations
Regression methods: Intuition
Ordinary Least Squares (OLS): Intuition
Ordinary Least Squares (OLS): Derivation
Descriptive Statistics — Miscellaneous topics
Equivalence scales
Index numbers and inflation
Data analysis — Interpretation challenges
Basic graph terminology
Using graphs for modelling
Graphs & Causality
Observing, intervening, and counterfactuals
Selection problems: Introduction
Selection models
One-sided selection
Two-sided selection
Proxy failure
Working with Jupyter Notebooks
Creating and Executing cells
Markdown cells
Pitfalls of Jupyter Notebooks
Getting help
Strategies for getting help
Python tracebacks
Helping yourself within notebooks
Searching the web
Asking for Help
Python Basics
Variable Assignment and Basic Calculations
Scalar Types
Boolean Logic
Importing Modules
The print function
Python tracebacks
Lists and tuples
Dictionaries
If conditions
Defining Functions
Pandas Basics
Introduction to Pandas Series
Types of data and data types
Quantiles
Boolean indexing
Missing data
Introduction to DataFrames
DataFrames: Indexing and slicing
Reductions with DataFrames
Grouping DataFrames by rows
Selecting rows with queries
(Multi)Indices
Shifting and differencing rows
Concatenating Series / DataFrames
Merging Series / DataFrames
Simulating data
Visualisations with plotly
Introduction to Plotly Graphs
Modifying plotly graphs
Logarithmic scales
Line graphs vs. bar charts
Scatter plots
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