Course
Foundations of Inference in Python
- AdvancedSkill Level
- 4.6+
- 253
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.
Probability & Statistics
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
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Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.
Probability & Statistics
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Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.
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Learn how to use Python to analyze customer churn and build a model to predict it.
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Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.
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Build interactive AI apps in Sigma using user input, actions, and polished interfaces, no coding required.
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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!
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Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.
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Enhance your KNIME skills with our course on data transformation, column operations, and workflow optimization.
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Learn how to design and implement triggers in SQL Server using real-world examples.
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Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.
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This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
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Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.
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Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.
Data Visualization
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From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.
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Use your knowledge of common spreadsheet functions and techniques to explore Python!
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Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.
Probability & Statistics
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Learn efficient techniques in pandas to optimize your Python code.
Software Development
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This course is for R users who want to get up to speed with Python!
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Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.
Exploratory Data Analysis
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Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.
Data Manipulation
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Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.
Reporting
Course
Learn how to visualize time series in R, then practice with a stock-picking case study.
Data Visualization
Course
Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.
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Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).
Applied Finance
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Learn to design scalable event-driven architectures in Azure using messaging services and real-world integrations.
Cloud
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Learn how to monitor, diagnose, and optimize Azure applications using Azure Monitor, Application Insights, and Log Analytics.
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Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.
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Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.
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Learn how to load, transform, and transcribe speech from raw audio files in Python.
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