Data Science

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Generalized Linear Models and Nonparametric Regression (Coursera) Coursera
University of Colorado Boulder

Generalized Linear Models and Nonparametric Regression (Coursera)

Dive into the world of advanced statistical modeling with this specialized course. Learn about generalized linear models, logistic regression for classification, nonparametric methods like kernel estimators and smoothing splines, and semi-parametric generalized additive models (GAMs). This course is designed to provide a strong conceptual foundation in these complex yet powerful tools essential for data scientists.

Jul 6th 2026
4 Weeks
ANOVA and Experimental Design (Coursera) Coursera
University of Colorado Boulder

ANOVA and Experimental Design (Coursera)

Dive into the world of statistical modeling with our 'ANOVA and Experimental Design' course. This course will equip you with essential skills in analyzing variance (ANOVA) and covariance (ANCOVA), as well as designing impactful experiments. Perfect for data scientists, researchers, and students aiming to enhance their understanding of experimental design principles.

Jul 6th 2026
4 Weeks
Data Mining Pipeline (Coursera) Coursera
University of Colorado Boulder

Data Mining Pipeline (Coursera)

Embark on a journey through the complete data mining pipeline with this in-depth online course. From initial data understanding to advanced modeling and evaluation, you'll gain a thorough understanding of each critical step involved in transforming raw data into actionable insights. Perfect for aspiring and professional data scientists seeking to refine their expertise.

Jul 6th 2026
4 Weeks
Modern Regression Analysis in R (Coursera) Coursera
University of Colorado Boulder

Modern Regression Analysis in R (Coursera)

Dive into the world of statistical modeling with our 'Modern Regression Analysis in R' course. Learn foundational tools essential for data scientists, including linear models, parameter estimation, residual analysis, and strategies for variable selection. Perfect for beginners and professionals looking to refine their analytical skills.

Jul 6th 2026
5-12 Weeks
Data Science as a Field (Coursera) Coursera
University of Colorado Boulder

Data Science as a Field (Coursera)

Embark on an enlightening journey into the world of Data Science with this comprehensive online course offered by Coursera. Designed for beginners and professionals alike, this course provides an overview of what Data Science entails, the essential skills required, and how to navigate the process effectively. Gain insights from CU Boulder's Master’s of Science in Data Science program, crafted by both academics and industry leaders.

Jul 6th 2026
4 Weeks
Getting Started with CyberGIS (Coursera) Coursera
University of Illinois at Urbana-Champaign

Getting Started with CyberGIS (Coursera)

Dive into the world of CyberGIS with this introductory course designed to equip you with essential skills in Geospatial Information Science and Systems (GIS) using advanced cyberinfrastructure. From understanding high-performance computing to managing big data and leveraging cloud computing for geospatial analysis, this course is your gateway to mastering cutting-edge GIS techniques.

Jul 6th 2026
4 Weeks
Tools for Exploratory Data Analysis in Business (Coursera) Coursera
University of Illinois at Urbana-Champaign

Tools for Exploratory Data Analysis in Business (Coursera)

Embark on a journey into the world of data analytics with our 'Tools for Exploratory Data Analysis in Business' course. This course is tailored for professionals looking to harness the power of data to drive business decisions. You'll develop an analytic mindset, identify business problems that can be solved through data analysis, and learn how to use cutting-edge tools like PowerBI, Alteryx, and RStudio for ETL and EDA processes.

Jul 6th 2026
4 Weeks
Introduction to Machine Learning in Production (Coursera) Coursera
DeepLearning.AI

Introduction to Machine Learning in Production (Coursera)

Dive into the world of production-ready machine learning with our comprehensive 'Introduction to Machine Learning in Production' course. This foundational program will guide you through every step of turning your models into robust systems that can handle the demands of a live environment. From scoping projects and understanding data needs, to modeling strategies and deployment constraints, this course sets the stage for building reliable ML applications.

Jul 6th 2026
3 Weeks