Python in Excel: Data Visuals & Custom Algorithms

Create Custom Algorithms and Data Visuals for Enhanced Data Analysis.

What you'll learn

• Enable and integrate Python in Excel.
• Create custom DataFrame objects.
• Run AI and ML algorithms in Excel.
• Visualize data with Python.
• Perform linear and logistic regression.
• Group data using K-Means and hierarchical clustering.
• Detect anomalies with Python algorithms.
• Create dynamic, custom data visuals in Excel.

Requirements

• A Windows desktop computer with a valid Microsoft 365 Subscription installed (MAC & Linux not supported)
• An internet connection capable of streaming HD videos.
• Proficiency in Excel, including Power Query.
• Solid understanding of the Python programming language.
• Familiarity with Python’s data science libraries (e.g., Pandas, NumPy).
• Basic knowledge of data analysis concepts.

Description

Unlock the power of Python in Excel with our engaging course, "Python in Excel: Data Visuals & Custom Algorithms." Designed for anyone eager to elevate their data analysis skills, this course bridges the gap between Excel's familiar interface and the dynamic capabilities of Python.

With Excel's strong foundation in business analysis, combined with Python's versatility, you'll learn how to create stunning data visualizations and run sophisticated algorithms directly within Excel. Whether you're a seasoned developer or a business user, this course offers practical insights into setting up Python in Excel, enabling you to create custom DataFrame objects and leverage them for more advanced analyses.

Explore how to seamlessly integrate Python libraries into Excel, transform data, and easily handle errors. You'll delve into AI and machine learning algorithms, uncovering trends with linear regression, and utilizing Excel Solver for logistic regression. Plus, you'll master the art of grouping data with K-Means and detecting anomalies with cutting-edge algorithms.

But it doesn't stop there! Visualize your data like never before with Python visuals, dynamic line charts, and scatter plots. This course takes you step-by-step through configuring Python for Excel, breaking down complex time series models, and more.

Join us to harness the full potential of Python and Excel in one powerful, user-friendly platform.

Who this course is for:

• Data analysts looking to enhance Excel capabilities with Python.
• Business analysts seeking to perform advanced data analysis in Excel.
• Professionals who regularly work with Excel and want to integrate Python.
• Developers interested in combining Python with Excel for custom workflows.
• Excel users aiming to create dynamic data visuals and custom algorithms.
• Individuals with basic Python knowledge wanting to leverage it in Excel.
• Anyone looking to streamline data processes using Excel and Python.
• Learners eager to explore new techniques for data visualization and analysis.