class: center, middle, inverse, title-slide .title[ # <p>Unlocking Opportunities: The Statistics Major and Data Analytics Minor</p> ] .author[ ### Ying-Ju Tessa Chen, PhD <br><a href="https://github.com/ying-ju"><svg viewBox="0 0 576 512" style="height:1em;position:relative;display:inline-block;top:.1em;fill:white;" xmlns="http://www.w3.org/2000/svg"> <path d="M280.37 148.26L96 300.11V464a16 16 0 0 0 16 16l112.06-.29a16 16 0 0 0 15.92-16V368a16 16 0 0 1 16-16h64a16 16 0 0 1 16 16v95.64a16 16 0 0 0 16 16.05L464 480a16 16 0 0 0 16-16V300L295.67 148.26a12.19 12.19 0 0 0-15.3 0zM571.6 251.47L488 182.56V44.05a12 12 0 0 0-12-12h-56a12 12 0 0 0-12 12v72.61L318.47 43a48 48 0 0 0-61 0L4.34 251.47a12 12 0 0 0-1.6 16.9l25.5 31A12 12 0 0 0 45.15 301l235.22-193.74a12.19 12.19 0 0 1 15.3 0L530.9 301a12 12 0 0 0 16.9-1.6l25.5-31a12 12 0 0 0-1.7-16.93z"></path></svg> Homepage</a>   |   <a href="https://scholar.google.com/citations?user=nfXnYKcAAAAJ&hl=en&oi=ao"><svg viewBox="0 0 488 512" style="height:1em;position:relative;display:inline-block;top:.1em;fill:white;" xmlns="http://www.w3.org/2000/svg"> <path d="M488 261.8C488 403.3 391.1 504 248 504 110.8 504 0 393.2 0 256S110.8 8 248 8c66.8 0 123 24.5 166.3 64.9l-67.5 64.9C258.5 52.6 94.3 116.6 94.3 256c0 86.5 69.1 156.6 153.7 156.6 98.2 0 135-70.4 140.8-106.9H248v-85.3h236.1c2.3 12.7 3.9 24.9 3.9 41.4z"></path></svg> Scholar</a>   |   <a href="https://github.com/ying-ju"><svg viewBox="0 0 496 512" style="height:1em;position:relative;display:inline-block;top:.1em;fill:white;" xmlns="http://www.w3.org/2000/svg"> <path d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8zM97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"></path></svg> <span class="citation">@ying-ju</span></a>   |   <a href="mailto:ychen4@udayton.edu"><svg viewBox="0 0 512 512" style="height:1em;position:relative;display:inline-block;top:.1em;fill:white;" xmlns="http://www.w3.org/2000/svg"> <path d="M476 3.2L12.5 270.6c-18.1 10.4-15.8 35.6 2.2 43.2L121 358.4l287.3-253.2c5.5-4.9 13.3 2.6 8.6 8.3L176 407v80.5c0 23.6 28.5 32.9 42.5 15.8L282 426l124.6 52.2c14.2 6 30.4-2.9 33-18.2l72-432C515 7.8 493.3-6.8 476 3.2z"></path></svg> ychen4@udayton.edu</a></br> <br> ] .date[ ### September 17, 2024 | Department of Mathematics | University of Dayton | Dayton, OH ] --- ## Who am I? .Large[Ying-Ju Tessa Chen, Associate Professor in Statistics] ### Academic Background - **Two master’s degrees**: - Mathematics, National Taiwan University - Statistics, Bowling Green State University - **Ph.D. in Statistics (2015)** – Bowling Green State University --- ### Professional Experience - **Before I came to UD**: Visiting Assistant Professor at Farmer School of Business, Miami University (Information Systems & Analytics). - **Teaching experience**: - 15th year since coming to the USA. - `Classroom Teaching:` Since joining the University of Dayton in the Fall of 2017, I have taught 13 different courses in Statistics and Mathematics, including Data Analytics, and a total of 28 sections. - **Mentoring** - `Advisor for` [Data Analytics Club](https://1850.udayton.edu/dac/home/) - `Capstone Advisor:` for 16 students. - `Mathematics Clinic (Master's Thesis) Advisor:` for 3 students. --- ### Research Interests - Empirical Likelihood Method - Change Point Analysis - Applied Machine Learning - Survival Analysis [Research Network](https://sites.google.com/a/udayton.edu/ychen4/publications/research-network?authuser=0) ### Connection to the Program In my role at UD, I’ve had the privilege of helping to shape the **Statistics major** and **Data Analytics minor**, preparing students to apply their skills to real-world problems and pursue careers in data-centric fields. --- ## The Importance of Data in Today's World - **Data is Everywhere** From business decisions to healthcare advancements, data is shaping every industry. Companies rely on data to improve products, enhance customer experience, and make informed decisions. - **Growing Demand for Data Professionals** The demand for data scientists, statisticians, and data analysts has grown exponentially. According to the U.S. Bureau of Labor Statistics, data-related jobs are projected to grow by 36% between 2021 and 2031. - **Statistics and Data Analytics: Essential Skills** Both the **Statistics major** and the **Data Analytics minor** at UD perpare students with the critical skills needed to navigate and succeed in this data-centric landscape. These programs provide hands-on experience with cutting-edge tools and real-world data analysis, preparing students not only to meet industry demands but also to pursue advanced studies in statistics, data science, and related fields. --- ## Data Analytics Minor Overview .pull-left[ - **Launched in:** Fall 2022 - **Develop essential skills in:** - Statistical reasoning - Data analysis & visualization - Programming & machine learning - **Prepare for:** - Industry & academic applications - Working with diverse types of data - Conducting & communicating quality data analysis ] .pull-right[ - **The Data Analytics Minor consists of four key courses:** - MTH 208: Exploratory Data Analysis - MTH 209: Data Manipulation and Management - MTH 369: Regression Models for Data Analytics - MTH 415: Machine Learning for Data Analytics ] --- ### MTH 208: Exploratory Data Analysis - Grasp fundamental EDA concepts and their role in data analysis - Learn to identify key features and insights - Communicate findings through quantitative and visual summaries - Address data quality issues and consider ethical implications in data analysis - [Former students' projects](https://sites.google.com/a/udayton.edu/ychen4/teaching/mth-208-exploratory-data-analysis/mth-208-student-projects?authuser=0) ### MTH 209: Data Manipulation and Management - Work with diverse data structures - Gain hands-on experience with statistical software - Learn to manipulate, manage, and compute with data - [Former students' projects](https://sites.google.com/a/udayton.edu/ychen4/teaching/mth-209-data-manipulation-and-management/mth-209-student-projects?authuser=0) --- ### MTH 369: Regression Models for Data Analytics - Foundation in regression models - Apply models to make data-driven predictions - Widely used across industries ### MTH 415: Machine Learning for Data Analytics - Study key statistical learning algorithms - Focus on classification, prediction, and decision making - Learn cutting-edge tools driving today’s automation --- ## Statistics Major Overview **Dive into the data-driven world of statistics.** Launched in Fall 2024, the Bachelor of Science in Statistics equips you with essential knowledge in statistical methods, data management, and computational tools, preparing you for a wide range of careers in data analysis. ### Program Structure **15 courses | 46 credits** Gain comprehensive statistical, analytical, and computational skills applicable across industries. - **Core Areas:** - **Statistical Theory**: Master foundational and advanced statistical principles. - **Applied Statistics**: Solve real-world problems using statistical techniques. - **Data Analytics**: Develop advanced data analysis skills with the latest tools. --- ### Unique Features - **Interdisciplinary Opportunities**: Apply statistical methods across various fields like economics and engineering. - **Hands-On Learning**: Practical experience through internships, project-based learning, and research. - **Advanced Research Focus**: Conduct high-level research under experienced faculty. - **Customizable Coursework**: Tailor your education with flexible electives to suit your career goals. - **Community & Professional Engagement**: Connect with professionals and alumni through clubs, seminars, and events. --- ## Projected Job Growth from 2022 to 2032 <img src="figs/projected_jobs.png" width="70%" style="display: block; margin: auto;" /> --- ## Q&A .pull-left[ .center[.Large[.red[Questions?]]] - Feel free to reach out with any additional questions or for further discussion! - Contact me, Tessa Chen, via email <a href="mailto:ychen@udayton.edu"><i class="fa fa-paper-plane fa-fw"></i>&nbsp; ychen4@udayton.edu</a> for questions or further discussions. ] .pull-right[ <img src="./figs/Tessa_grey_G.gif" width="60%" style="display: block; margin: auto;" /> ]