Data availability is increasing all the time #data

DataCamp · Beginner ·📰 AI News & Updates ·1y ago
Listen to the full episode: https://www.datacamp.com/podcast/getting-the-data-for-your-data-driven-decisions Jonathan Bloch is CEO at Exchange Data International (EDI) and a seasoned businessman with 40 years experience in information provision. He started work in the newsletter industry and ran the US subsidiary of a UK public company before joining its main board as head of its publishing division. He has been a director and/or chair of several companies and is currently a non executive director of an FCA registered investment bank. In 1994 he founded Exchange Data International (EDI) a London based financial data provider. EDI now has over 450 clients across three continents and is based in the UK, USA, India and Morocco employing 500 people. Scott Voigt is CEO and co-founder at Fullstory. Scott has enjoyed helping early-stage software businesses grow since the mid 90s, when he helped launch and take public nFront—one of the world's first Internet banking service providers. Prior to co-founding Fullstory, Voigt led marketing at Silverpop before the company was acquired by IBM. Previously, he worked at Noro-Moseley Partners, the Southeast's largest Venture firm, and also served as COO at Innuvo, which was acquired by Google. Scott teamed up with two former Innuvo colleagues, and the group developed the earliest iterations of Fullstory to understand how an existing product was performing. It was quickly apparent that this new platform provided the greatest value—and the rest is history. In the episode, Richie, Jonathan and Scott explore first-party vs third-party data, protecting corporate data, behavioral data, personalization, data sourcing strategies, platforms for storage and sourcing, data privacy, synthetic data, regulations and compliance, the future of data collection and storage, 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/
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9 R Tutorial: Data & the likelihood
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10 R Tutorial: The posterior model
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13 R Tutorial: Bivariate graphics
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17 Python Tutorial: Cohort analysis visualization
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20 R Tutorial: Layout basics
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21 R Tutorial: Advanced layouts
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23 Python Tutorial: Correlation of Two Time Series
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25 Python Tutorial: Autocorrelation
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26 R Tutorial: The gapminder dataset
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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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44 Python Tutorial: Decision-Tree for Classification
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45 Python Tutorial: Decision-Tree for Regression
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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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59 Python Tutorial: Statistical Models
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