Introduction to Python for Finance
Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.
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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.
Learn the role Generative Artificial Intelligence plays today and will play in the future in a business environment.
Learn about the power of Microsoft Azure and cloud computing software to help you improve your data engineering skills.
Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.
Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.
Take your Tableau skills up a notch with advanced analytics and visualizations.
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Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.
Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.
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Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.
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Learn how to use GitHubs various features, navigate the interface and perform everyday collaborative tasks.
Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Learn about Microsoft Copilot and 365 Copilot to enhance productivity, streamline workflows, and make informed, data-driven decisions in your business.
Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.
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Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.
Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.
Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.
Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.
Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.
Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.
Master AWS cloud technology with hands-on learning and practical applications in the AWS ecosystem.
Understand the fundamentals of Machine Learning and how its applied in the business world.
Discover the different ways you can enhance your Power BI data importing skills.