Stata Level 1 and 2 - The Complete Course in Stata

Start with Stata by mastering static interface and windows, use the data editor and browse editor, rely on help to search data and understand commands, and organize your working directory.

Explore the Stata interface and five main windows—results, review, comment, variables, and properties—and learn to run commands, view history, and inspect data summaries and variable characteristics.

Explore Stata's data editor and data browse windows, creating observations and variables as you input data. Understand why browse mode prevents edits and how the results window shows command outcomes.

Explore Stata's help and search tools to find command syntax, options, and examples, focusing on generate and summarize for quick data analysis.

Learn to establish and manage the working directory in Stata, set it to your data folder, and load datasets with the use command while organizing your analysis workflow.

Learn how to upload text files, set your working directory, and import delimited data using the correct file name and extension, with spaces or commas as delimiters.

Learn to import csv and Excel files and dta files into Stata, using delimited and sheet-based methods, then clear the workspace and save your databases.

Clear the workspace before loading new data, then use Stata to import files and save the current database in the working directory, ensuring reproducible analysis.

Create and manage do files to store and execute all commands, run entire files or individual commands, review results and history, and repeat tasks efficiently in Stata.

Learn best practices for organizing Stata do files by commenting each line, dividing files into sections with clear titles, and tracking changes with authors, dates, and version control using GitHub.

Learn to create and manage log files in Stata, saving outputs and intermediate results, using log on, log off, append, and log close to organize your analysis.

Learn why and how to alter datasets to make variable labels and values understandable for yourself and others, using tasks and commands to clarify data.

Explore missing values in Stata, where absent responses appear as observations with black spots, and learn to generate new variables and initialize them with a missing value.

Learn how to use the replace command in Stata to change values under specific conditions, specifying the target variable and the new value, such as age equal 18.

Apply conditionals in Stata to create and modify variables using if, or, and, determining values like young, labor, and student based on age and university status.

Learn to perform simple data analysis in Stata after making data reproducible and organizing the database. Focus on frequency analysis to drive practical conclusions without advanced methods.

Explore data types and storage formats in Stata, comparing long, float, and double for range and precision. Learn how strings are stored and how memory usage influences variable choices.

Learn how to use the summarize command to compute statistics for numerical variables, including mean, standard deviation, min, max, and observations, while addressing missing values and applying to categorical variables.

Learn how to recode categorical values in Stata, transforming categories and updating value labels. Use gender examples to create binary variables and apply recoding rules correctly.

learn to manipulate text in stata using concat to join string variables into a single id, and substring to extract the first character from a string, with examples.

Merge databases by adding new variables to a master dataset using a key variable, and apply one-to-one, many-to-one, and one-to-many merge types.

Apply the collapse command to compute the mean household expenditure by civil status, creating a compact dataset with five observations per category.

Learn to reshape databases in Stata by converting between long and wide formats, creating panel data with an id variable and year-specific production variables.

Recap of the course covers using Stata interfaces and windows, importing data in dta, text, Excel, and CSV formats, clearing the workspace, and performing analysis with do files and joins.

Explore Stata fundamentals, from the starter interface to managing data formats, labeling and modifying variables, creating reproducible work with do files, and merging databases.

Learn to manage large quantities of information in Stata using graphs, matrices, and programming. Develop skills to store data, perform calculations on scalars and matrices, and create informative graphs.

Learn to transform variables into matrices with maqamat and convert matrices back into variables using svmat, while renaming rows or columns with mat name.