A training program for City and County of San Francisco staff. Explore, refine and enhance skills in data use, data management, and process improvement.
When someone approaches you with a problem, how do you ensure that the method you’ve chosen will give you answers? How do you distill problems into actionable research or data questions? And once you’ve got your question, how do you decide between quantitative or qualitative methods?
This workshop will cover display and exploration of spatial data, geo-located surveys, dashboards and Story Maps. At the end of the workshop you will be able to import data, and do some basic analysis such as finding the nearest facility, finding relationships, determining how many of something are within an area.
This workshop will leverage City of San Francisco geospatial data to demonstrate creating and editing GIS data as well as performing basic intermediate level spatial analysis techniques. These topics will include: Zonal statistics, spatial joins, and attribute field calculations.
This course will cover fundamental concepts in project management and is meant for a beginner audience. It will focus on the use of project management tools for improved day-to-day management of and contribution to City projects.
This workshop will cover basic python use in GIS analysis. By completing this workshop, you will be able to read GIS data from various sources, manipulate data in tabular and spatial forms, and perform basic GIS analyses. We'll be covering these workflows with both the ArcGIS API for Python and open source packages.
By completing this workshop you will be able to use QGIS to tinker with spatial data, perform analysis to answer interesting questions, and make beautiful maps. Whether you are totally new to GIS, or have experience with other GIS software and would like to transfer those skills to a non-proprietary platform, this workshop is a great place to start.
In this introductory class, participants will learn practical skills necessary for reading data into R from external sources, manipulating the data, and visualizing it. The course will also cover other basic programming concepts as they are implemented in R.
Data analysis and manipulation is often done in Excel. However, with larger and more complex datasets, a relational database (e.g. Oracle, Microsoft SQL Server/Access) is often a more popular and effective choice. This course introduces attendees to a global database language SQL (Structured Query Language).
In this two-part introductory statistics course, participants will learn the building blocks necessary to understand the data they work with and conduct more advanced analysis in the future. Statistical concepts covered include: probabilities, data variability measures and distributions, significance testing, and more.
This classroom-based workshop is an interactive course meant for beginner to intermediate surveyors. It covers basic topics like: when should you survey, how to talk about surveys, and how to design a survey.
This course helps you unlock features of the City's open data portal to improve your own data workflows.
This course is the 2nd in DataSF’s series on PowerBI. This course will provide a strong foundation in Data Structure and Data Modeling through the tool of PowerBI. Analyst tasked with getting multiple data sources to talk to each other in PowerBI will find this class of use.
This course is designed to give you a strong foundation in Power BI and a jump-start on your 1st Power BI project. Power BI is a powerful, low-cost program that focuses on the entire business intelligence chain: from data wrangling to visualizing to sharing to automation.
Have you ever wanted to change the way your workplace operates but didn’t know where to begin? Wish you could clear the obstacles in your daily work or reduce bureaucracy for your customers? This training aims to introduce you to the Lean methodology and the tools you need to rapidly improve the work you do every day.
Ever wanted to use design thinking to create more effective project outcomes? Plan to have fun practicing these techniques and then commit to trying to apply what youíve learned to one or more of your projects in 24 hours.