Generalized Linear Models in R
The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.
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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.
This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.
From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.
Build AI agentic workflows that can plan, search, remember, and collaborate, using LlamaIndex.
Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.
Learn key techniques to optimize Java performance, from algorithm efficiency to JVM tuning and multithreading.
Use your knowledge of common spreadsheet functions and techniques to explore Python!
Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.
Learn how to develop deep learning models with Keras.
Learn efficient techniques in pandas to optimize your Python code.
Learn strategies for answering probability questions in R by solving a variety of probability puzzles.
This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.
Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.
Learn how to segment customers in Python.
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.
Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.
In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.
Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.
Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.
Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training
Learn how to set up and manage your Microsoft Fabric infrastructure.
Create a healthcare AI agent using Haystack, an open-source framework for orchestrating LLMs and external components.
Learn how to write recursive queries and query hierarchical data structures.
Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.
Learn how to use Python to analyze customer churn and build a model to predict it.
Develop the skills you need to clean raw data and transform it into accurate insights.
Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!
Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.
Learn how to design and implement triggers in SQL Server using real-world examples.