Kansas Gis Data Download !FREE!
Sebrina Lobianco
With transparency at the core of our mission, KS OpenGov provides a comprehensive platform that collects and displays vital information on how Kansas tax dollars are spent. This databank provides access to hundreds of reports showing how your tax dollars are spent.
The Kansas Data Science Consortium is a collaborative group representing colleges and universities across Kansas. The KDSC seeks to engage students in real-world data analysis, expanding access to data science education, and building Kansas's capacity for innovation and reasoning.
Our program is funded through NSF EPSCoR Kansas, and housed at the University of Kansas, with Kansas State University and Wichita State University as our additional primary consortium members. These three universities have already started to incorporate KDSC projects and programs. Development is underway at Baker University, Butler Community College, Johnson County Community College, and Donnelly College. Faculty from each of these schools are working to improving data science curriculum, enhancing existing ongoing classes, and even adding new classes. The KDSC is made possible by the dedication and enthusiasm of our faculty and staff members.
The signature program of the Kansas Data Science Consortium is the Community Data Lab, which brings real-world projects into the classroom. The KDSC recruits businesses, government agencies, non-profits, and other organizations who become community partners. Community partners agree to contribute a problem or question and a related dataset. These projects are then introduced into specially-structured classes devoted to independent, small group inquiry. Each school has a unique composition of student levels and specialties, which means a wide range of projects are suited by a diverse skillset.
Students gain valuable hands-on experience, which may contribute to their career success, and will be better consumers of information in their everyday life. Community partners can implement data-driven solutions which they may not have had the resources to identify on their own.
As part of the initiative to improve data science education opportunities, the Kansas Data Science Consortium is now offering seasonal workshops, open to the public. This affordable hands-on training is geared toward professionals and researchers who are looking to expand their skillsets. Workshop topics and logistics will change seasonally.
This fast-paced, dynamic program covers the specialized skills for the booming field of data, including: Advanced Excel, Python, JavaScript, HTML/CSS, API Interactions, Social Media Mining, SQL, Tableau, Advanced Statistics, Machine Learning, data ethics, Git/GitHub, and more.
Select one or multiple counties, cities, or census tracts below, use the overlay list to gain community context, then click the Request Dashboard button to generate a custom Kansas Community Data Dashboard from mySidewalk. We also encourage you to review this User Guide, which walks you through how to interact specifically with the data and provides important details about data limitations. These limitations may influence how you determine to use or share the data.
Once you download your Community Data, take time to familiarize yourself with the information. Engage with it critically; some of the information and data may be new. Consider how your perspectives and experiences inform your understanding of the data. Are there topics that have a greater influence on your community than you previously knew? How can the work you do impact those with the greatest need? What assets already exist in your community that can aid this work? Does your community have strong partnerships in place for collaboration?
Among other factors, Meta chose to locate the facility in Kansas City for its central location, which offers improved network connectivity between coastal data centers. The Kansas City region also provides greater security, decreased risk of natural disasters and other threats, competitive energy prices, and options for renewable energy. Due to these and other advantages, the area is the third fastest-growing technology market in the nation. Kansas City has already ranked among the best cities for startups in the country, and provides a wide talent pool with the skills needed for technology jobs.
For the building of its new data center, Meta plans to use the Data Center Sales Tax Exemption Program, a tool that incentivizes the location and expansion of data centers in Missouri. The Data Center Sales Tax Exemption Program was created by the Missouri General Assembly in 2015. Learn more about the Data Center Sales Tax Exemption Program.
Source: U.S. Bureau of Labor Statistics
Note: More data series, including additional geographic areas, are available through the "Databases & Tables" tab at the top of this page.
Data is collected with every click of the mouse. Organizations large and small need individuals who can help collect, organize, and analyze large data sets. The M.S. in Data Analytics explores data science, analysis skills, and business management to provide you with an understanding of how to interpret data and clearly communicate its meaning. Students choose from two concentrations: Data Science or Applied Analytics.
Employment in computer and information technology occupations is projected to grow 13 percent from 2020 to 2030, faster than the average for all occupations. These occupations are projected to add about 667,600 new jobs. Demand for these workers will stem from greater emphasis on cloud computing, the collection and storage of big data, and information security. (source: -and-information-technology/home.htm)
We are awash in data, models, and predictions. This flood of data has opened up seemingly unlimited possibilities: it allows businesses to make informed recommendations for their clients, health officials to use text and image processing to track and classify health information, or community organizers to help spread the news and civic information through social networks. Whatever your field of study, you need to deal with data. This interdisciplinary data science certificate prepares students to harness data and help realize some of its many possibilities. Students will receive training in mathematics, computation, and statistics; data collection, management, description, and analysis; communication and project management; and ethics, problem-solving, and judgment and decision making.
Educators from KU, Kansas State University and Wichita State University are preparing new courses for the spring: Community Data Labs. These labs will bring together students from various disciplines to hone their data science skills by analyzing real-world information provided by partner organizations. Community partners are businesses, nonprofits and government organizations who will receive data-based solutions, generated by students, free of charge.
Educators, students and community members in areas without partnering educational institutions can still benefit from this programming. The KDSC is also creating an online repository of data science projects and teaching materials that will be publicly available.
The KDSC invites organizations and businesses to contact them to get involved in the development of technologies and approaches to refine data science. Partnered community organizations gain access to these innovative tools and can make connections with accomplished graduates. To learn more, email willia...@ku.edu.
With the rising emphasis on all things data in businesses and other organizations, so rises the need for statisticians and data scientists. The U.S. Bureau of Labor Statistics estimates a 33 percent growth in jobs for statisticians by 2031 and reports a current median salary of $98,920 for statisticians and $103,500 for data scientists. Organizations need them to harvest data and turn it into information and insights that drive actions and shape strategies.
Forbes magazine ranked data science the fastest growing tech career and US News ranked Statisticians #6 and Data Scientists #8 in the top best jobs. Graduating with this degree will open new doors to a more rewarding career.
The Graduate Certificate in Applied Statistics provides students with specialized knowledge required of careers in the rapidly growing fields of statistics and data analytics. There is increasing demand in the workforce for graduate-trained data scientists with excellent hands-on analytic skills. This graduate certificate is designed to provide individuals with focused knowledge in statistical theory with an emphasis on application that will allow them to make an immediate impact within their field.
Extracting, refining, analyzing, and delivering data has enormous value in today's Big Data boom. Companies seek employees with highly technical skills and actual hands-on Big Data experience. According to the Bureau of Labor Statistics, jobs in statistics are projected to grow 33 percent and jobs in data science are projected to grow 36 percent by 2031, compared to an overall projected occupational growth of 5 percent.
Applied statistics, analytics and data science involves interpreting data to determine needs, trends and probabilities across many industries. Any field that involves analyzing data-based findings or results needs trained data analysts, scientists and statisticians to interpret and report information.
Data analytics, statistics professionals and data scientists work in a wide variety of industries, including healthcare, public policy, environmental science, business, and public relations. According to the Bureau of Labor Statistics, jobs in statistics-related fields, including data analytics, are projected to grow 36 percent by 2031, compared to an overall projected occupational growth of 5 percent.
The Common Data Set (CDS) initiative is a collaborative effort among data providers in the higher education community and publishers as represented by the College Board, Thomson Peterson's, and U.S. News & World Report. The combined goal of this collaboration is to improve the quality and accuracy of information provided to all involved in a student's transition into higher education, as well as to reduce the reporting burden on data providers. (from the Common Data Set Initiative website)
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