What's the Fuzz All About - Randomized Data Generation for Robust Unit Testing
Explore randomized data generation for robust unit testing using the Hypothesis library in Python, enhancing test coverage and detecting potential bugs through dynamic testing approaches.
OpenAPI Development with Python
Explore OpenAPI development with Python, covering basics, ecosystem, tools, and real-world applications. Gain practical insights for efficient API creation and management.
How to Make Money Using Python - Unused Potential in the Enterprise World
Explore untapped Python opportunities in enterprise applications, leveraging its advantages over Java, C++, and C# for business success and market growth.
Accessible Python Education for Schoolgirls Using Avocados, Zombies, and Korean
Innovative Python education for young girls using engaging themes, resulting in increased interest and confidence in coding and scientific computing.
How Much Time Does It Take to Write Tests? A Case Study
Explore the time investment in writing automated tests through a real-world case study, examining the implications and trade-offs in software development practices.
Revolutionizing Education - How Python is Essential Beyond Computer Science
Explore the integration of Python in non-computing fields, its impact on student understanding, and the potential to revolutionize education across disciplines. Gain insights from case studies and recommendations for implementation.
Improving Data Analytics with Azure Machine Learning
Explore Azure Machine Learning for data analytics, from data classification to model selection, integration, and deployment in Data Factory pipelines, enhancing decision-making and insights.
Visualization Tools for Data Discovery
Explore data visualization tools for early-stage data discovery, enhancing data quality assessment and facilitating communication between experts and data teams.
5 Dashboard Mistakes
Discover common pitfalls in dashboard design and learn strategies to create more effective, user-friendly data visualizations for improved decision-making.
Predictive Analytics for Practitioners
Practical guide to predictive analytics covering data preparation, sampling, algorithm strengths/weaknesses, and model accuracy assessment. Ideal for practitioners seeking to enhance their skills in this field.
Unlocking Business Value with Advanced Analytics
Practical applications of advanced analytics for business problems, including customer churn reduction, targeting, and segmentation. Learn from Microsoft's data scientists solving real-world challenges.
Past to Future - Self-service Forecasting with Microsoft BI
Explore time series forecasting with Microsoft Self-Service BI tools. Learn fundamentals, Excel capabilities, and Power View's predictive analytics for visually impressive forecasts and hindcasts.
A Case Study Featuring In Memory OLTP and Hybrid Cloud Scenarios
Practical insights on upgrading mission-critical databases to SQL Server 2014, implementing In-Memory OLTP, Managed Backup, and Azure Storage integration for large workloads.
Advanced R Analytics in SS2016 Using R Tools for Visual Studio
Explore advanced R analytics using R Tools for Visual Studio, covering predictive modeling, data access, parallelization, and integration with SQL Server for improved performance and efficiency.
Predictive Analytics Using R and SQL
Explore predictive analytics concepts, applications, and integration with BI environments. Learn data science processes, methodologies, and practical techniques using R and SQL for effective predictions.
Turning Membership Surveys Into Action - Predictive Analytics
Learn to transform membership survey data into actionable insights using factor analysis and predictive modeling techniques for more effective decision-making and stakeholder engagement.
Data Science Success Using Microsoft Azure - Predictive Analytics
Explore data science options in Microsoft Azure, including Power BI, Cortana Intelligence Suite, and HDInsight. Learn about pre-built machine learning algorithms and tools for tackling various data science needs.
Azure Machine Learning Studio and PowerBI - Predictive Analytics
Explore differences in data loading between Azure ML Lab and PowerBI, focusing on predictive analytics techniques and data visualization for effective decision support systems.
Stepping into Data Science - Predictive Analytics
Explore data science processes, feature engineering, and predictive analytics using Python. Learn to create training and predictive experiments with practical examples and machine learning techniques.
Operationalize Data Science for Advanced Decision Support
Learn to develop and integrate predictive models using Azure Machine Learning, enhancing organizational decision-making through data science principles, best practices, and a real-world case study.
Failure Prediction for Manufacturing Industry with SQL Server & R
Explore predictive modeling for manufacturing failure using SQL Server and R. Learn regression, binary classification, and random forest techniques to forecast product failures and estimate lifespans.