What is data science course

What You'll Learn What is data science, and how can it help you make sense of the infinite data, metrics, and tools that are available today? Data science is at the core of any growing modern business, from health care to government to advertising and more. Insights gathered from data science collection and analysis practices have the potential to increase quality, effectiveness, and efficiency of work output in professional and personal situations. Data Science Principles makes the foundational topics in data science approachable and relevant by using real-world examples that prompt you to think critically about applying these understandings to your workplace. Get an overview of data science with a nearly code- and math-free introduction to prediction, causality, visualization, data wrangling, privacy, and ethics. Data Science Principles is an introduction to data science course for anyone who wants to positively impact outcomes and understand insights from their company’s data collection and analysis efforts. This online certificate course will prepare you to speak the language of data science and contribute to data-oriented discussions within your company and daily life. This is a course for beginners and managers to better understand what data science is and how to work with data scientists. Data Science Principles is part of our Harvard on Digital Learning Path. The Harvard on Digital course series provides the frameworks and methodologies to turn data into insight, t...

• Academics • Take a Course • Graduate Degrees • Graduate Certificates • Microcertificates • Undergraduate Degree and Certificates • Premedical Program • Our Faculty • Registration & Admissions • For Prospective Students • Course Registration • Degree Program Admissions • Pursuing a Certificate • For Enrolled Students • International Students • Apply to Premedical Program • Academic Calendar • Paying for School • Payment Options and Policies • Financial Aid • Financing Options for Non-Admitted Students • Financial Wellness • About Us • Why Harvard Extension School • Student & Alumni Stories • Meet the Dean • Harvard Extension School Blog • Events • Press and Announcements • Contact Us • MyDCE Login Develop the technical and analytical skills you need to discover, analyze, model, and visualize information in today's data-rich world. Our data science graduate program features an online course curriculum, an on-campus course, and a capstone project focused on a real-world challenge in data science. Data science is a complex and dynamic field, and one in which individuals with the right mix of skills are likely to remain in high demand. Through the graduate program in data science, you will master the technical, analytical, and practical skills you need to solve real-world, data-driven problems. In the master’s degree program in the field of data science, you will: • Develop an in-depth understanding of data science methods in predictive modeling, data mining, machine learning...

What You'll Learn The program covers concepts such as probability, inference, regression, and machine learning and helps you develop an essential skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with Unix/Linux, version control with git and GitHub, and reproducible document preparation with RStudio. In each course, we use motivating case studies, ask specific questions, and learn by answering these through data analysis. Case studies include: Trends in World Health and Economics, US Crime Rates, The Financial Crisis of 2007-2008, Election Forecasting, Building a Baseball Team (inspired by Moneyball), and Movie Recommendation Systems. Throughout the program, we will be using the R software environment. You will learn R, statistical concepts, and data analysis techniques simultaneously. We believe that you can better retain R knowledge when you learn how to solve a specific problem. The course will be delivered via Professor of Biostatistics, T.H. Chan School of Public Health Rafael Irizarry is a Professor of Biostatistics at the Harvard T.H. Chan School of Public Health and a Professor of Biostatistics and Computational Biology at the Dana Farber Cancer Institute. For the past 15 years, Dr. Irizarry’s research has focused on the analysis of genomics data. During this time, he has also taught several classes, all related to applied statistics. Dr. Irizarry is one of the founders of the Bioconductor Project, ...

About the Program Bachelor of Arts (BA) The Data Science Major degree program combines computational and inferential reasoning to draw conclusions based on data about some aspect of the real world. Data scientists come from all walks of life, all areas of study, and all backgrounds. They share an appreciation for the practical use of mathematical and scientific thinking and the power of computing to understand and solve problems for business, research, and societal impact. The Data Science Major will equip students to draw sound conclusions from data in context, using knowledge of statistical inference, computational processes, data management strategies, domain knowledge, and theory. Students will learn to carry out analyses of data through the full cycle of the investigative process in scientific and practical contexts. Students will gain an understanding of the human and ethical implications of data analytics and integrate that knowledge in designing and carrying out their work. The Data Science major requirements include • Foundations in Mathematics and Computing • Computational and Inferential Depth • Modeling, Learning and Decision Making • Probability • Human Contexts and Ethics • Domain Emphasis All students will select a Domain Emphasis, a cluster of one lower division course and two upper division courses, that brings them into the context of a domain and allows them to build bridges with data science. For students admitted in Fall 2023, Data Science is a high-de...