Course subject
Data Science & Analytics courses in The Course Register: browse 40 active and 93 total continuing, professional, and extension Data Science & Analytics listings with start dates, tuition, enrollment status, format, and issuing-source links.
Every Data Science & Analytics listing in the register — filter by status or search within the subject.
Harvard University presents 'Elements of Data Science and Statistical Learning with R,' a foundational course in Data Science & Analytics. This program delves into statistical methodologies and data analysis techniques using R, equipping students with the…
This course will provide students with an understanding of information generated through the research, delivery, and management of public and private healthcare services. Topics emphasize how leveraging this information can generate better healthcare outcomes…
Learn how to create business value by effectively importing, preparing, modeling and visualizing data using the Python programming language. Students will learn how to implement various models like linear regression, logistic regression, and decision trees;…
Advancements in technology have made data easily available for use. This introductory analytics course starts with an overview of data analytics to introduce the different types of data and fundamental concepts behind collecting, storing, and analyzing data.…
Practical Math and Statistics are the foundation of the fields of Data Science and Predictive Analytics. Statistics are used in every part of business, science, and institutional data processing. This course covers fundamental statistical skills needed for…
This hands-on course provides critical skills needed to drive business decisions using predictions made from using historical data. Students will be introduced to key tools used in predictive analytics and how to evaluate the right tool in order to translate…
Learn how to make better business decisions, use fewer resources, and improve your company's bottom line by developing and using a data warehouse. This course provides an overview of business intelligence and data warehousing and gives you a look at all the…
The goal of this course is to demystify data science and to familiarize students with key data scientist skills, techniques, and concepts. Starting with foundational concepts like analytics taxonomy, the Cross-Industry Standard Process for Data Mining, and…
This course will help students navigate through the complex layers of Big Data while providing insight on ways to effectively use technologies and architectures to create and manage big data workflows. Concepts covered include an introduction to Big Data and…
Python for Data Analysis is a course for students with some experience using Python who want to learn how to import and analyze data using the popular programming language. Students can immediately use what they have learned to ingest data, produce plots and…
Understand Data, Think Statistically, and Turn Information into Insight This course provides a comprehensive introduction to the fundamental concepts and techniques of statistics used across science, business, and technology. Statistics offers a structured…
This course provides both introductory and advanced concepts and techniques for developing effective dimensional models, data integration, and the ETL process. Learn how to build a high performance dimensional data model. A good dimensional model and its…
This course covers the foundations of descriptive analytics in the context of business and financial data analysis. Through the application of interactive visual analytics, students will learn how to extract structure from historical data and present key…
Practical Math and Statistics are the foundation of the fields of Data Science and Predictive Analytics. Statistics are used in every part of business, science, and institutional data processing. This course covers fundamental statistical skills needed for…
Explore practical probability, stochastic processes, and Markov chains through real-world modeling supported by MATLAB/Octave applications that reveal how randomness drives complex systems. This course provides a practical introduction to probability,…
With the growing amount of data available to businesses, decision-makers must translate strategy into accountability, measure progress against goals, and leverage data for business decision making. Dashboards are used to present and analyzing enterprise…
Statistics allows us to collect, analyze, and interpret data. The R programming language is one of the most widely used tools for data analysis and statistical programming. Its easy-to-learn syntax, built-in statistical functions, and powerful graphing…
As the amount of data companies collect continues to grow at a rapid rate, the ability to effectively transform that data into actionable information has become paramount for business growth and success. Business intelligence (BI) and data analytics enables…
Delve deeper into the world of Geographic Information Systems as you embark on an exloration of Spatial Data Analysis! In this course, students will expand their proficiency in GIS, honing their skills to dissect spatial data with precision and insight.…
Learn the tools and techniques for understanding and leveraging valuable information contained within spatial data Data is most valuable when used to identify and quantify patterns and relationships. This is especially true with spatial data and spatial data…
With the growing amount of data available to businesses, decision-makers must translate strategy into accountability, measure progress against goals, and leverage data for business decision making. Dashboards are used to present and analyzing enterprise…
Learn how to analyze data using SPSS Unravel the mysteries within data with SPSS software! SPSS is one of the most popular software packages used for statistical analysis and understanding data. Big data, prediction, and data mining all use SPSS. Academic…
This course is designed to enhance student proficiency in data design, data management, data warehouse, data modeling, and query manipulation skills. Topics include techniques and methods for identification, extraction, and preparation of data for processing…
Learn advanced Python programming features used to solve large data problems. Topics include ETL using command line interface, functional programming, mySQL, MapReduce framework using Hadoop streaming and MRJob, and Spark with SparkML. Students will gain…
The goal of this course is to demystify data science and to familiarize students with key data scientist skills, techniques, and concepts. Starting with foundational concepts like analytics taxonomy, the Cross-Industry Standard Process for Data Mining, and…
Organizations are turning data into action by using prescriptive analytics to provide recommended actions to achieve business goals. This course explores the best practices to use when determining business goals. Students will discover the right types of…
Statistics provides the basic framework for thinking about data in a rigorous fashion. Biostatistics applies this thorough examination of data to information gathered in the biological sciences, including clinical trials, public health, environmental health,…
The Data Science with R course at UC San Diego Division of Extended Studies offers an in-depth exploration of Data Science & Analytics, equipping students with the essential skills to analyze and interpret complex data sets. Through hands-on projects and…
Advanced Business Intelligence: Introduction to Predictive Analytics This course introduces the predictive modeling process and basics of predictive analytics for business applications, including hands-on introduction to data preparation, model identification…
Data Analytics Using Python In this course, you will learn the rich set of tools, libraries, and packages that comprise the highly popular and practical Python data analysis ecosystem. This course is primarily taught via screen sharing programming videos.…
Data management and manipulation is an essential task for data scientists who deal with data on a day-to-day basis. In recent years, many R packages were developed to tackle a wide variety of data science challenges. The focus of this course is the tidyverse…
Statistical computing is employed within a diverse range of industries. In recent years, an open source project, R, has emerged as the preeminent statistical computing platform. With its unsurpassed library of freely available packages, R is capable of…
Statistics can be used to draw conclusions about data and provides a foundation for more sophisticated data analysis techniques. Viewing questions about data from a statistical perspective allows data scientists to create more predictable algorithms to…
Visualization plays a fundamental role in understanding properties and relationships in data to extract insights and communicate results. Whether the analytics is descriptive, diagnostic, prescriptive, or proscriptive, visualization is essential throughout…
Electronics is the study of the behavior and movement of electrons in physical components. Analog Circuit Design is concerned with controlling continuously varying voltage and currents, while Digital Circuit Design controls digital signals represented by two…
Offered by UC San Diego Division of Extended Studies, "Empowering the DataJam Mentors: Leveraging Big Data for the Common Good" is an immersive course in Data Science & Analytics. Learn how to harness the power of big data to drive impactful,…
Offered by UC San Diego Division of Extended Studies, the Foundations of Probability and Statistics in Data Science course delves into the essential mathematical principles underpinning Data Science & Analytics. Participants will gain a robust understanding…
The Python for Data Science course at UC San Diego Division of Extended Studies offers an in-depth exploration of Data Science & Analytics, equipping students with essential programming skills in Python. Designed for professionals and aspiring data…
The UC San Diego Division of Extended Studies offers a foundational Linear Algebra course designed for professionals and students in Data Science & Analytics. This course covers essential mathematical concepts, including vector spaces, matrices, and…
The Biostatistics course at UC San Diego Division of Extended Studies delves into the critical role of data analysis in biological sciences, equipping students with the skills to design studies, differentiate correlation from causation, and derive actionable…
The UC San Diego Division of Extended Studies presents Advanced Business Intelligence: Introduction to Predictive Analytics, a foundational course in Data Science & Analytics. Designed for professionals seeking to harness data-driven insights, this program…
The GIS II: Spatial Analysis course at UC San Diego Division of Extended Studies delves into advanced techniques in Data Science & Analytics, focusing on spatial data interpretation and application. Participants will gain hands-on experience with…
The GIS Capstone Project course at UC San Diego Division of Extended Studies offers students an immersive opportunity to apply advanced Data Science & Analytics techniques in real-world scenarios. Designed for professionals seeking to enhance their geospatial…
The Financial Analysis and Reporting with Tableau course at UC San Diego Division of Extended Studies equips students with essential skills in Data Science & Analytics. Through hands-on training, participants will master Tableau for financial data…
Offered by UC San Diego Division of Extended Studies, the "Crash Course: Python for Data Analytics" is designed to equip learners with essential skills in Data Science & Analytics. This course provides a comprehensive introduction to Python programming,…
Offered by UC San Diego Division of Extended Studies, the Introduction to Statistics using R course delves into fundamental statistical concepts and their application using the R programming language. This Data Science & Analytics course equips students with…
Learn how to use the Structured Query Language (SQL) to create, manipulate, and create reports from database tables. Important concepts associated with relational databases will be covered. You will run SQL commands to create database tables and define data…
Offered by UC San Diego Division of Extended Studies, the Data Visualization using R course delves into the essential techniques and tools within the Data Science & Analytics field. Students will master R programming for creating insightful visualizations,…
Offered by UC San Diego Division of Extended Studies, the Introduction to R Programming course delivers essential skills for aspiring data scientists. This foundational program in Data Science & Analytics covers core concepts, data manipulation, and…
The Advanced Excel for Analysis and Business Intelligence course at UC San Diego Division of Extended Studies equips professionals with advanced Excel techniques for data-driven decision-making. Designed for the Data Science & Analytics field, this program…