Using Stata Effectively: Data Management, Analysis, and Graphics FundamentalsHome Training Catalog Using Stata Effectively: Data Management, Analysis, and Graphics Fundamentals Analysis Data Science Theoretical and applied statistics Short courses On-site courses Face-to-face Remote/Virtual English Objectives Become familiar with three main components of Stata: data management, data analysis, and data visualization. Upon completion of the course, you will be able to use Stata efficiently for data management, basic analyses and graphics. You will be able to create reproducible analysis, for better collaborative works and simplified follow-up analyses Prerequisites: Basic computer skills The course is taught using Stata. It is appropriate for those who already own Stata and for those who are considering purchasing or upgrading. There is no requirement that the user already own a Stata license. Educational and technical material and resources: Web-based training courses are four-day courses that run for three and a half hour each day. You will be provided with a temporary Stata license to install on your computer, an electronic copy of the course notes, and all the course datasets so that you can easily follow along Web-based training offers the same great content as our classroom training. It is designed to be interactive: ask the instructor questions and work examples using Stata. You can click a button to raise your hand and then speak directly with the instructor through your microphone. Or you type your questions and comments into a chat window Monitoring and Assessment: Practice and Exercises Immediate training assessment Expected results & skills at the end of the training : The participant will learn the basic functions and navigation within STATA The participant will learn how to create and manipulate graphs and figures in STATA The participant will learn how to use STATA effectively for manipulating and analyzing data. The participant will learn how to keep records of your work and create reproducible analyses. Program Fundamentals of Using Stata (1h30 – Day1) Keeping organized Knowing how Stata treats data Using dialog boxes efficiently Using the Command window Saving time and effort while working A sample Stata Session Getting Help Basic Data Management in Stata (3h30 – Day1 and Day2) Reading Data in Stata o Using and Saving Stata data files o Reading in datasets of various standard formats, such as those from spreadsheets or databases Labeling data, variables and values and setting up encoded variables Creating and Recoding variables in an efficient fashion Generating statistics within groups, and working across variables Intermediate Data Management in Stata (2h – Day2) Combining datasets by adding observations and by adding variables Reshaping data from wide to long Reshaping data from long to wide Collapsing data across observations Workflow (1h30 – Day3) Using menus and the Command window to work quickly Setting up Stata for your profile Keeping complete records of what is done inside Stata: saving dofile Creating reproducible analyses, which are completely documented Finding, installing, and removing community-contributed extensions to Stata Customizing how Stata starts up and where it looks for files Analysis (3h30 – Day3 and Day 4) Using basic statistical commands Reusing results of Stata commands Using common postestimation commands Working with interactions and factor variables Graphics (2h – Day 4) Introduction to graphics Overview of graph two-way plots Building up complex graphs Using the Graph Editor Download the full program Duration 14 hours Level Beginner Audience This course is intended for both new Stata users and those who wish to learn techniques for effective daily use of Stata. Participants 8 people maximum Public attence: 999 EUR vat excl/participant. On-site: please contact us for a personnalized offer. Are you looking for information about a training course? You want to set up a customized training session? Contact our pedagogical team! Notice: JavaScript is required for this content. Upcoming trainings Intelligence Artificielle Générative Generative Artificial Intelligence for Scientific Monitoring Objectives Describe the general working principle of Deep Learning and Generative Artificial Intelligence. Use advanced prompting techniques to meet business needs. Synthesize articles and scientific content by producing concise summaries that highlight key points and main conclusions. Improve technological monitoring by configuring, customizing, and automating generative artificial intelligence tools to monitor and summarize the latest research published in specific fields. Identify key points in a specific scientific field and detect missing research topics needed to complete an existing theoretical model. Translate articles. 17 and 21 March Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Introduction to R for Basic Statistical Analysis with the Help of Generative AI (Beginner) Objectives Discover the fundamentals of R and generative AI tools. Learn the basics of descriptive statistical analysis and apply them to real-world datasets. Learn how to automate common tasks in R using generative AI. Master the creation of simple visualizations and data presentation. Get introduced to the concepts of simple regressions and hypothesis testing. 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Master AI-assisted qualitative analysis techniques. Use AI for analyzing and presenting qualitative data. 02 and 03 June Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Enhance your statistical analyses with R and Generative AI (Advanced) Objectives • Deepen your mastery of R to perform advanced statistical analyses.• Discover and leverage generative AI tools to automate common tasks in data analysis.• Optimize analytical processes by integrating automated workflows.• Structure complex workflows effectively and innovatively.• Strengthen the understanding and application of advanced statistical concepts to real and simulated cases. 09, 10, 12 and 13 June Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Generative Artificial Intelligence for Research Education Objectives Discover the general principles of Deep Learning and Generative Artificial Intelligence, and benefit from the potential of Generative AI tools. Use advanced prompting techniques to meet business needs. Classify generative AI tools according to the media they implement (text-to-text, text-to-image, etc.), and select the right tool for a specific use case. Produce educational activities such as course notes, study guides, or chapter summaries to assist students in their learning. Design exams and quizzes based on the training content developed for students, saving time in course preparation. Generate scenarios or case studies for group projects, based on current topics or scientific advancements, to expand the possibilities of course facilitation (content, group workshops, etc.). Adapt your teaching and prepare your students for the Generative AI revolution. 26 June03 July Register Ask for a quote Previous Next