Data Science & Analytics courses

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…

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,…

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…

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 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 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…

The UC San Diego Division of Extended Studies presents Dashboards and Data Visualization for Data Analysis, a foundational course in Data Science & Analytics. Participants will master the art of transforming complex data into compelling visual narratives…

The Data Analytics Using Python course at UC San Diego Division of Extended Studies offers an in-depth exploration of data science and analytics, equipping students with essential Python programming skills for analyzing complex datasets. This professional…

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…

Offered by UC San Diego Division of Extended Studies, the Overview of BI and Data Analysis course delves into the foundational concepts and advanced techniques in Data Science & Analytics. Designed for aspiring professionals, this course equips learners with…

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 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…

Offered by UC San Diego Division of Extended Studies, the Statistics for Data Analytics course delves into the essential statistical methods and tools vital for success in Data Science & Analytics. Designed for aspiring professionals, this course equips…

Master the art of data manipulation and presentation with the Advanced Data Wrangling and Visualization in R course from UC San Diego Division of Extended Studies. This essential Data Science & Analytics program equips professionals with advanced techniques…

Offered by UC San Diego Division of Extended Studies, GIS I: Introduction to GIS is a foundational course in the Data Science & Analytics category. This program introduces essential Geographic Information Systems (GIS) concepts, tools, and applications,…

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 GIS III: Web GIS course at UC San Diego Division of Extended Studies offers an in-depth exploration of web-based geographic information systems within the Data Science & Analytics field. Designed for professionals and students alike, this course covers…

Offered by UC San Diego Division of Extended Studies, the Introduction to SPSS course delivers a foundational understanding of SPSS software within the context of Data Science & Analytics. Designed for aspiring analysts and researchers, this course equips…

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 Capstone in Applied Data Science with R course is a cornerstone program in the Data Science & Analytics category. This advanced course equips students with hands-on experience in applying R programming…

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,…

Master data transformation and analysis with the Excel & Power BI Data Prep with Power Query and M Language course from UC San Diego Division of Extended Studies. This comprehensive Data Science & Analytics program equips professionals with advanced skills in…

Offered by UC San Diego Division of Extended Studies, the Fundamentals of Data Science course provides a comprehensive introduction to the field of Data Science & Analytics. Students will learn essential techniques in data analysis, machine learning, and…

The UC San Diego Division of Extended Studies offers this foundational course in Introduction to Statistics, a key component of Data Science & Analytics. Students will master essential statistical concepts, probability theory, and data analysis techniques to…

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…

The UC San Diego Division of Extended Studies presents 'LEAN Thinking for Big Data Analytics,' a cutting-edge course in the Data Science & Analytics category. This program delves into the integration of LEAN methodologies with big data analytics, equipping…

The UC San Diego Division of Extended Studies presents SAS Programming I: DATA Step and PROC Fundamentals, a foundational course in Data Science & Analytics. Designed for aspiring professionals, this program delves into essential SAS programming techniques,…

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 UC San Diego Division of Extended Studies presents Advanced SQL Database Management Concepts, a rigorous course designed for professionals in Data Science & Analytics. Master complex SQL queries, database optimization, and advanced management techniques…

The Intermediate SQL Programming course at UC San Diego Division of Extended Studies equips students with advanced techniques in database querying and management, essential for careers in Data Science & Analytics. Participants will enhance their proficiency…

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…

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…

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…