Data Science
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Learn how to analyze data effectively and manage databases with ease.

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Data Science
🔅 Excel Data Analysis for Supply Chain: Forecasting

📝 Master Excel-based supply chain forecasting techniques to make data-driven decisions and improve operational efficiency.

🌐 Author: Eddie Davila
🔰 Level: Intermediate
⏰ Duration: 3h 37m

📋 Topics: Supply Chain Management, Data Analysis, Microsoft Excel

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00. Introduction.zip
9.2 MB
📱Data Science
📱Excel Data Analysis for Supply Chain: Forecasting
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01. Forecasting Fundamentals.zip
22.6 MB
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📱Excel Data Analysis for Supply Chain: Forecasting
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02. Fundamentals of Using Excel in Time Series Forecasting.zip
59.9 MB
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📱Excel Data Analysis for Supply Chain: Forecasting
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03. Understanding Forecasting Errors.zip
66.3 MB
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📱Excel Data Analysis for Supply Chain: Forecasting
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04. Bias in Forecasting.zip
58 MB
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📱Excel Data Analysis for Supply Chain: Forecasting
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05. Moving Average Forecasting.zip
41.2 MB
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📱Excel Data Analysis for Supply Chain: Forecasting
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06. Trendlines and Simple Linear Regression.zip
59 MB
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📱Excel Data Analysis for Supply Chain: Forecasting
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07. Compound Annual Growth Rate CAGR.zip
46.5 MB
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📱Excel Data Analysis for Supply Chain: Forecasting
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08. Seasonality and Ratio to Moving Average Method.zip
74.9 MB
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📱Excel Data Analysis for Supply Chain: Forecasting
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09. Multiple Regression Forecasting.zip
85.6 MB
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📱Excel Data Analysis for Supply Chain: Forecasting
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10. Conclusion.zip
3.1 MB
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📱Excel Data Analysis for Supply Chain: Forecasting
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📕 SQL Cheatsheet
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📚 The Big Book of Data Science. Part I: Data Processing
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The Big Book of Data Science Part1.epub
9.9 MB
The Big Book of Data Science Part1.pdf
7.7 MB
5.86K views
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Master Excel for Data Analysis in Minutes

From formulas to pivot tables — this cheat sheet covers everything you need to clean, analyze, and visualize data like a pro in Excel.

Perfect for beginners and pros alike.
3.99K views
Data Science
🔅 Data Science Foundations: Fundamentals

📝 Get an accessible, nontechnical overview of data science, covering the vocabulary, skills, jobs, tools, and techniques of the field.

🌐 Author: Barton Poulson
🔰 Level: Beginner
⏰ Duration: 5h 24m

📋 Topics: Data Science, Data Analytics

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00. Introduction.zip
4.5 MB
📱Data Science
📱Data Science Foundations: Fundamentals
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01. What Is Data Science.zip
68.9 MB
📱Data Science
📱Data Science Foundations: Fundamentals
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02. The Place of Data Science in the Data Universe.zip
116.8 MB
📱Data Science
📱Data Science Foundations: Fundamentals
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