Coursera
Dive into the world of statistical analysis with our beginner-friendly course on hypothesis testing. Perfect for SAS software users, this course covers essential topics like t tests, ANOVA, and linear regression, providing a solid foundation for advanced analyses.
Coursera
Discover how to harness the power of SAS/STAT for effective predictive modeling with our 'Predictive Modeling with Logistic Regression using SAS' course. Learn to build and assess models, handle missing data, and optimize your approach for large datasets. Perfect for data scientists and analysts looking to enhance their skills in logistic regression.
Coursera
Dive into the world of statistical analysis with our Regression Modeling Fundamentals course. Perfect for SAS software users, this course will guide you through essential techniques such as t tests, ANOVA, linear regression, and even introduce you to logistic regression. Whether you're new to statistical analyses or looking to refine your skills, this course provides a solid foundation.
Coursera
Embark on a practical journey through the world of data analytics with IBM's Data Analyst Capstone Project. This course serves as the culmination of your learning experience in the IBM Data Analyst Professional Certificate program. By assuming the role of an Associate Data Analyst, you'll tackle real-world datasets and apply all the skills you've acquired throughout the series. From collecting diverse data sources to performing statistical analysis and creating interactive dashboards, this capstone project will equip you with the hands-on expertise needed to excel in a data-driven career.
Coursera
Discover the fundamentals of data science through Python in this beginner-friendly course. Master essential techniques like working with DataFrames, joining datasets, and employing powerful libraries such as pandas, numpy, and matplotlib for insightful data analysis and visualization.
Coursera
Dive into the world of data analysis with our 'Statistics for Data Science with Python' course. Gain a solid understanding of statistical methods and their application in real-world scenarios. This hands-on course will teach you how to gather, summarize, visualize, and analyze data using Python and Jupyter Notebooks, essential skills for any aspiring data scientist.
Coursera
Discover the power of Inferential Statistics with this engaging Coursera course. Designed for beginners and professionals alike, this program will equip you with essential skills to analyze and interpret data, perform hypothesis tests, and communicate your findings clearly. Dive into practical applications using R and RStudio, free statistical software, and apply these techniques to real-world datasets.
Coursera
Congratulations on completing the foundational courses in our specialization! Now, it's time to synthesize all you've learned in a practical capstone project. This course will guide you through executing a multi-method workflow of computational social science, from data scraping to advanced analysis.
Coursera
Embark on a practical journey through Coursera's Applied Data Science Capstone course. This comprehensive program will equip you with the skills to tackle real-world data challenges, focusing on location data, Foursquare API integration, creative data sourcing via web scraping, and advanced data manipulation using Python and pandas. You'll also learn how to visualize your findings with geospatial mapping through Folium.