thomas mcclure

+2327 2333 STUDENTS COMPLETED Let's go! As you have seen from the Instant Data Science lesson, programming is a powerful tool for answering questions about data. It allows us to collect, clean up and format our data and then perform calculations on that data. Much of our digital information is in the form of text, for exmaple song lyrics and emails. To clean up and format that text with Python, we need to become familiar with our first type of data, the string. Objectives Working with our first data type, strings Learning about the string methods that Python provides Learning how to discover new methods

+2298 2304 STUDENTS COMPLETED Objectives Operating on numbers in Python The different datatypes for numbers Boolean values and how we can use them in our code Deciding which datatypes to use in our program All of us are familiar with numbers. 1492 is a number. So is 34. If we think about what we usually do with numbers, we get a pretty good idea for what Python provides support for.

Once we have done some trouble shooting for errors in our predictions by: • Getting more training examples • Trying smaller sets of features • Trying additional features • Trying polynomial features • Increasing or decreasing λ We can move on to evaluate our new hypothesis. A hypothesis may have a low error for the training examples but still be inaccurate (because of overfitting). Thus, to evaluate a hypothesis, given a dataset of training examples, we can split up the data into two sets: a training set and a test set. Typically, the training set consists of 70 % of your data and the test set is the remaining 30 %. The new procedure using these two sets is then:

Like everyone, appearing smart during meetings is my top priority. Sometimes this can be difficult if you start daydreaming about your next vacation, your next nap, or bacon. When this happens, it's good to have some fallback tricks to fall back on. Here are my ten favorite tricks for quickly appearing smart during meetings.

HMS makes the healthcare system work better for everyone. We fight fraud, waste, and abuse so people have access to healthcare-now and in the future. Using innovative technology and powerful data analytics, we help government and commercial payers reduce costs, increase quality, and achieve regulatory compliance. We also help consumers take a more active role in their own health. Each year, we save our clients billions of dollars while helping people live healthier lives. At HMS, you will develop new skills and build your career in a dynamic industry while making a difference in the lives of others. We are seeking a talented individual for a Client Analytics Manager II who will play a key role in representing outcomes and future product strategy. Essential Responsibilities: • Work on an interdisciplinary team with engagement design, sales, project management and engineering • Design and analyze the effectiveness of customer programs for a set of accounts, and provide input to the development of new products • This is a vital role working with both internal groups and external customers. The overall goal is to deliver effective programs with positive return on investments by transforming structured and unstructured data into marketable analytics products and services • The person selected for this position will have strong analytical skills, the ability to translate trends and patterns into product strategy, and have excellent presentation and face-to-face client skills

and methods. 7 years of hands on experience working on payroll systems with 3 years of experience working on financial systems with both batch and on-line components operating in a mainframe environment. Well-versed with the maintenance and system upgrade of UC Berkeley online payroll system. Successfully installed new Payroll System from University of California Office of the President, installing CICS programs for Inquiry/Update/Add also includes UCARSM (security application) Proficient in installing batch programs; responsible for any user issues both online and batch concerns. Well-versed in updating information using BMC to extract information from the DB2 logmaster using plan and database with from and to dates for before and after images, inserts and deletes in the system. Successfully assisted/supported in the building of 30 test environments using CICS, MQ, DB2, Datacom, Tpns, and Strobe in support of development and testing of applications, includes maintenance to COBOL programs using TCIP/SOCKETS to retrieve stock prices. Z/OS, MVS/ESA 20 yrs DB2 18 yrs JES2/JES3 20 yrs

Duration: Perm Location: San Antonio, TX Hours: 8-5 Interview Process: Resume Review follow by phone interview followed by an onsite/skype interview Number of Openings: 1 Relocation Assistance: Yes Position Overview Performs or leads programming efforts for application software and ensures successful implementation of application enhancements, conversions and system installations. Designs, develops, tests, implements, documents, and supports new and existing software applications.

Slingshot is a Utah based start-up recently recognized by Inc Magazine as one of America's fastest growing companies (#146!!!). We a location in Orem, Utah, with At Home Slingers located across the state. We believe in a world where conversations matter, where technology enhances human interaction instead of replacing it, and where people can effortlessly connect with service providers that help home feel like home. Learn more at: getslingshot.com The gig: Slingshot is looking for a Sr. Data Analyst to support finance, operations, sales, marketing & company leadership teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with leaders to improve business outcomes. Requirements What you'll do: • Work with leaders throughout the organization to identify requirements and opportunities for leveraging company data to drive business solutions and ensuring the validation and verification of data used. • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, financial models and business strategies. • Provide support to end users on standardized and ad hoc reports. • Assess the effectiveness and accuracy of new data sources and data gathering techniques. • Develop custom data models and algorithms to apply to data sets. • Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. • Develop processes and tools to monitor and analyze model performance and data accuracy.