Are you guilty of this? ๐Ÿง Communicating with ourselves in mind ๐Ÿ“Œ

DataCamp ยท Beginner ยท๐Ÿ›ก๏ธ AI Safety & Ethics ยท1y ago
Listen to the full episode :headphones: https://www.datacamp.com/podcast/data-storytelling-for-kids Cole Nussbaumer Knaflic has always had a penchant for turning data into pictures and into stories. She is CEO of storytelling with data, the author of the best-selling books, storytelling with data: a data visualization guide for business professionals, storytelling with data: letโ€™s practice!, and storytelling with you: plan, create, and deliver a stellar presentation. For more than a decade, Cole and her team have delivered interactive learning sessions sought after by data-minded individuals, companies, and philanthropic organizations all over the world. They also help people create graphs that make sense and weave them into compelling stories through the popular SWD community, blog, podcast, and videos. In the episode, Adel and Cole explore Coleโ€™s book Daphne Draws Data, challenging limiting beliefs that can develop during childhood, why early exposure to data literacy is important, engaging with children using data, adapting complex topics, data storytelling for adults, data visualization, building a data storytelling culture, the future of data storytelling in the age of AI, and much more. Find DataFramed on DataCamp https://www.datacamp.com/podcast and on your preferred podcast streaming platform: Apple Podcasts: https://podcasts.apple.com/us/podcast/dataframed/id1336150688 Spotify: https://open.spotify.com/show/02yJXEJAJiQ0Vm2AO9Xj6X?si=d08431f59edc4ccd
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1 SQL Server Tutorial: Date manipulation
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2 R Tutorial: Intermediate Interactive Data Visualization with plotly in R
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3 R Tutorial: Adding aesthetics to represent a variable
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9 R Tutorial: Data & the likelihood
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10 R Tutorial: The posterior model
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11 R Tutorial: An Introduction to plotly
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12 R Tutorial: Plotting a single variable
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13 R Tutorial: Bivariate graphics
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14 Python Tutorial: Customer Segmentation in Python
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15 Python Tutorial: Time cohorts
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16 Python Tutorial: Calculate cohort metrics
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17 Python Tutorial: Cohort analysis visualization
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18 R Tutorial: Building Dashboards with flexdashboard
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19 R Tutorial: Anatomy of a flexdashboard
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20 R Tutorial: Layout basics
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21 R Tutorial: Advanced layouts
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22 Python Tutorial: Time Series Analysis in Python
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23 Python Tutorial: Correlation of Two Time Series
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24 Python Tutorial: Simple Linear Regressions
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25 Python Tutorial: Autocorrelation
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26 R Tutorial: The gapminder dataset
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27 R Tutorial: The filter verb
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28 R Tutorial: The arrange verb
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29 R Tutorial: The mutate verb
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30 R Tutorial: What is cluster analysis?
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31 R Tutorial: Distance between two observations
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32 R Tutorial: The importance of scale
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33 R Tutorial: Measuring distance for categorical data
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34 Python Tutorial: Plotting multiple graphs
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35 Python Tutorial: Customizing axes
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36 Python Tutorial: Legends, annotations, & styles
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37 Python Tutorial: Introduction to iterators
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38 Python Tutorial: Playing with iterators
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39 Python Tutorial: Using iterators to load large files into memory
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40 SQL Tutorial: Introduction to Relational Databases in SQL
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41 SQL Tutorial: Tables: At the core of every database
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42 SQL Tutorial: Update your database as the structure changes
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43 Python Tutorial: Classification-Tree Learning
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44 Python Tutorial: Decision-Tree for Classification
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45 Python Tutorial: Decision-Tree for Regression
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46 Python Tutorial: Census Subject Tables
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47 Python Tutorial: Census Geography
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48 Python Tutorial: Using the Census API
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49 R Tutorial: A/B Testing in R
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50 R Tutorial: Baseline Conversion Rates
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51 R Tutorial: Designing an Experiment - Power Analysis
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52 R Tutorial: Introduction to qualitative data
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53 R Tutorial: Understanding your qualitative variables
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55 SQL Tutorial: OLTP and OLAP
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56 SQL Tutorial: Storing data
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58 Python Tutorial: Introduction to spaCy
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59 Python Tutorial: Statistical Models
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60 Python Tutorial: Rule-based Matching
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