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.
Learn survey design using common design structures followed by visualizing and analyzing survey results.
In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.
In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.
Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.
Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.
Discover how to talk to your data using text-to-query AI agents with MongoDB and LangGraph.
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.
Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.
Learn how to design and implement triggers in SQL Server using real-world examples.
Explore Alteryx Designer in a retail data case study to boost sales analysis and strategic decision-making.
Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.
Master Amazon Redshifts SQL, data management, optimization, and security.
This course is for R users who want to get up to speed with Python!
Build AI agentic workflows that can plan, search, remember, and collaborate, using LlamaIndex.
Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.
Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.
Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.
Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.
Build AI teams that work together, automate workflows, and generate content with CrewAI.
Learn to create, secure, and manage APIs with Azure API Management through hands-on practice.
Develop the skills you need to clean raw data and transform it into accurate insights.
Learn how to use Python to analyze customer churn and build a model to predict it.
This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.
Learn how to load, transform, and transcribe speech from raw audio files in Python.
Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.
Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.
Learn how to develop deep learning models with Keras.