Python in Excel For The Real World by Leila Gharani

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Python in Excel for the Real World by Leila Gharani – All About This Practical, Step-By-Step Program That Shows Analysts How To Use Python Inside Excel

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Python in Excel for the Real World by Leila Gharani – Transform How You Analyze Data

The Python in Excel for the Real World by Leila Gharani course is a complete, step-by-step guide to combining Python and Excel for faster, smarter, and more insightful data analysis. Whether you’re a financial analyst, business professional, or data enthusiast, this course shows you how to use Python inside Excel to clean data, uncover patterns, build advanced visuals, and even apply machine learning—all without leaving the familiar Excel interface.

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Why This Course Is Different

Most Python tutorials teach you to replicate what Excel already does. This course teaches you what Excel can’t do—and how Python makes it effortless.

Excel is powerful for calculations and charting, but it’s limited when it comes to complex data reshaping, automation, and advanced analysis.

That’s where Python in Excel bridges the gap—allowing you to handle data more dynamically, automate repetitive tasks, and visualize insights Excel alone can’t reveal.

Here’s what makes this course stand out:

• Excel Users First, Coders Second: No programming background required. If you can write an IF statement, you can follow along.

• Real-World Focus: Every lesson solves problems you face in business analysis—messy data, unclear visuals, bloated files, and repetitive tasks.

• Smarter Workflow: Learn when to use Excel, Power Query, or Python, so you don’t overcomplicate your process.

• AI & Automation Integration: Discover how to use Copilot and ChatGPT to speed up your Python coding safely.

• Practical Teaching Style: Leila’s approach is built for Excel pros who want real impact—not theory.

By the end, you’ll know exactly when and how to use Python to gain more control over your data, improve accuracy, and save hours every week.

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What You’ll Learn in Python in Excel for the Real World

This course is divided into 10 core sections (plus bonuses) that guide you through everything from your first Python formula to advanced forecasting and machine learning—all directly inside Excel.

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Section 1: Getting Started with Python in Excel

• Learn how to activate and access Python within Excel—no extra installations needed.

• Get comfortable running your first Python formulas inside worksheets.

• Understand how the new Python engine works behind the scenes.

• Download files, cheat sheets, and a QuickStart Guide to hit the ground running.

• Learn how to navigate the platform efficiently using the Transporter tool.

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Section 2: Advanced Data Analysis for Python Beginners

• Discover how Python communicates with Excel and where it outperforms formulas.

• Build your first Python-powered dashboard in minutes.

• Use Seaborn’s swarmplots and violin plots to instantly flag outliers.

• Learn the difference between free and premium versions of Python in Excel.

• Use Copilot and ChatGPT to assist with writing valid Python code safely.

• Quiz yourself with built-in checkpoints to confirm your understanding.

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Section 3: Core Python Skills for Working in Excel

• Master DataFrames—the heart of Python data analysis.

• Learn to describe, summarize, and filter data with simple methods like .value_counts() and .mean().

• Explore Pandas shortcuts that save hours when cleaning and summarizing data.

• Connect to external files (CSV, Excel, JSON) to automate data updates.

• Get comfortable with the Python Editor tools, references, and keyboard shortcuts.

• Complete hands-on challenges to reinforce every concept.

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Section 4: Real-World Data Fixes with Python

• Clean messy data faster than ever before.

• Automatically fix impossible date formats and extract useful details like quarters, weeks, and leap years.

• Turn columns into rows with melt(), group and summarize using groupby(), and create dynamic pivot-style summaries in one step.

• Practice with external datasets to prepare for real workplace problems.

• Learn how one line of Python can replace multiple Excel transformations.

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Section 5: Half-Time Tactics for Python in Excel

• Understand when to reference cells inside or outside parentheses (a common beginner question).

• Filter, group, and calculate new columns effortlessly.

• Write conditional logic the Python way—clean, fast, and flexible.

• Master the difference between filtering data and creating new calculated results.

• Finish this section with guided challenges and solutions to cement your learning.

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Section 6: Smarter Charting with Python

• Move beyond Excel’s basic visuals using Matplotlib and Seaborn.

• Create bar charts, scatter plots, and box plots that reveal real insight.

• Customize font sizes, labels, colors, and axes for clean, professional visuals.

• Automate chart changes—switch chart types or colors based on cell values, with no VBA.

• Build bullet charts inside cells for compact, data-rich visuals.

• Understand when to use Excel’s native charts vs. Python-generated ones.

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Section 7: Level-Up Tactics

• Write reusable Python functions to automate repetitive analysis tasks.

• Master if/else logic and f-strings for dynamic text and labeling.

• Combine datasets using concat and join functions to create unified reports.

• Import external libraries for additional tools—like creating word clouds.

• Learn data structures and why they’re key to working efficiently in Python.

• Each lesson includes a “Key Takeaway” review to reinforce your learning.

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Section 8: Seaborn for Smarter Decisions (Capstone Project)

• Use advanced Seaborn charts to make better business decisions.

• Learn how to toggle chart types and data with dropdowns and checkboxes.

• Discover relationships between variables with relplot, catplot, pairplot, and correlation heatmaps.

• Work on a full data-driven project answering: How do meetings affect productivity?

• Compare your solution to Leila’s step-by-step walkthrough.

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Section 9: Time Series and Forecasting

• Create rolling averages and dynamic trend lines.

• Apply Exponential Smoothing to detect growth or seasonality.

• Visualize multiple time series in one chart with Copilot assistance.

• Build forecasting models using Holt-Winters and ARIMA.

• Learn how to select the right forecasting model for your data.

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Section 10: Machine Learning in Excel

• Demystify machine learning with real examples.

• Use Isolation Forest to detect anomalies (e.g., fraud, errors).

• Apply K-Means Clustering to segment customers or patterns.

• Learn how Python’s machine learning models can enhance your Excel analytics.

• Reinforce your understanding with interactive quizzes and summaries.

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Bonus Modules

• Power Query vs. Python: When to use each, and how they can complement each other.

• Copilot & ChatGPT Pack: Write code faster and troubleshoot with AI-generated prompts.

• The Copy-Paste Code Book: Every Python snippet from the course, ready to reuse in your own workbooks.

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Core Features and Benefits

• 10 In-Depth Sections (100+ Lessons): Learn everything from basics to advanced forecasting.

• No Setup Required: Work directly in Excel—no installations or switching programs.

• Real Business Scenarios: All lessons use practical, real-world data.

• AI Support: Copilot and ChatGPT integration tips to boost productivity.

• QuickStart & Key Takeaway Guides: Prewritten notes so you never miss an insight.

• Professional Templates: Downloadable dashboards, visuals, and sample datasets.

• Lifetime Access: Revisit lessons anytime to stay current with updates.

• Practical ROI: Save hours per week and increase confidence in your analysis.

This isn’t just about learning Python—it’s about transforming how you work with data.

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Who This Course Is For

The Python in Excel for the Real World by Leila Gharani course is ideal for:

• Data analysts, FP&A professionals, accountants, or business users who rely heavily on Excel.

• Managers and decision-makers who want to understand new analytics capabilities.

• Excel power users hitting the limits of formulas and Power Query.

• Learners with no programming background who want a clear, practical introduction to Python.

• Professionals looking to future-proof their careers with cross-tool data literacy.

Even if you’ve tried learning Python before and got stuck, this course eliminates technical setup and confusion. You’ll learn everything inside Excel, using real data and immediate results.

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About the Instructor – Leila Gharani

Leila Gharani is an award-winning instructor, consultant, and Microsoft MVP known globally for her practical, clear, and creative approach to Excel and data analytics.
With over 15 years of corporate experience and 10 years as a consultant and educator, Leila has helped millions of professionals improve efficiency, accuracy, and presentation in their work.

Her YouTube channel and online courses have reached hundreds of thousands of learners worldwide, making her one of the most trusted names in Excel and business analytics education.
Her mission: to teach tools like Excel and Python in a way that’s simple, efficient, and immediately useful.

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Final Thoughts – The Future of Excel Starts with Python

Python in Excel for the Real World bridges the gap between Excel’s familiar simplicity and Python’s analytical power.
By learning how to use both together, you’ll unlock a new level of insight, automation, and performance in your work—without leaving the spreadsheet environment you know best.

👉 If you’re ready to go beyond formulas and start solving real-world data problems faster, this course is your shortcut to mastering the future of Excel.