Advanced Python in Excel: Data Analysis and Visualization

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Sarah Nooravi

46:41

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01 - Introduction

01 - Do more with data using Python in Excel.mp4

00:49

02 - What you should know.mp4

00:48

02 - 1. Exploratory Data Analysis

01 - Data used in this course.mp4

01:15

02 - Data preparation for analysis.mp4

03:55

03 - Augment data Turn trends into insights.mp4

03:45

03 - 2. Trends

01 - Natural language processing.mp4

03:32

02 - Python or Excel.mp4

01:02

03 - Visualize trends.mp4

03:30

04 - Capstone Step 1.mp4

00:48

04 - 3. Predictions

01 - Predictive tools Shaping future strategies.mp4

01:46

02 - ARIMA.mp4

03:01

03 - Advanced visualizations.mp4

03:09

04 - Outlier detection.mp4

06:32

05 - Capstone Step 2.mp4

00:26

05 - 4. Dashboard for Consistent Monitoring

01 - Build an effective dashboard.mp4

02:30

02 - Build an effective dashboard Apply your skills.mp4

04:45

03 - Capstone Step 3.mp4

00:28

06 - 5. Capstone Project

01 - Final project walk-through.mp4

04:14

07 - Conclusion

01 - Next steps.mp4

00:26

Description

In this course, learn how to use Python to go beyond Excel’s limited functionalities to perform complex data analysis and visualizations. Instructor Sarah Om details how Python’s integrations with Excel bring new dimensions of functionality, allowing for more advanced data manipulation, automation, and visualization than ever before. Sarah shows you how to leverage Python’s powerful libraries for data analysis to transform raw data into meaningful insights and stunning visualizations—right from the familiar Excel environment.

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Python

Sarah Nooravi

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Data is the new oil. —European Consumer Commissioner Meglena Kuneva

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