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<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:podcast="https://podcastindex.org/namespace/1.0" xmlns:media="http://search.yahoo.com/mrss/" version="2.0"><channel><title>L'analyse des données au XXIe siècle</title><link>https://www.spreaker.com/podcast/l-analyse-des-donnees-au-xxie-siecle--7051064</link><description><![CDATA[Description du Podcast :L’analyse des données au XXIe siècle est un podcast dédié à l’exploration du monde moderne des données, de l’intelligence artificielle et des nouvelles technologies analytiques. À travers des discussions captivantes, des études de cas et des tendances numériques, ce podcast décrypte comment les données transforment les entreprises, le sport, la santé, la finance et notre quotidien. Accessible aussi bien aux passionnés de technologie qu’aux curieux, il met en lumière les innovations qui façonnent le XXIe siècle.]]></description><atom:link href="https://www.spreaker.com/show/7051064/episodes/feed" rel="self" type="application/rss+xml"/><language>fr</language><category>Education</category><copyright>Copyright Marthinusbaloyi</copyright><image><url>https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/green_square_mic.jpg</url><title>L'analyse des données au XXIe siècle</title><link>https://www.spreaker.com/podcast/l-analyse-des-donnees-au-xxie-siecle--7051064</link></image><lastBuildDate>Fri, 21 Aug 2026 07:53:37 +0000</lastBuildDate><itunes:author>Marthinusbaloyi</itunes:author><itunes:owner><itunes:name>Marthinusbaloyi</itunes:name><itunes:email>feeds@spreaker.com</itunes:email></itunes:owner><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/green_square_mic.jpg"/><itunes:subtitle>Description du Podcast :L’analyse des données au XXIe siècle est un podcast dédié à l’exploration du monde moderne des données, de l’intelligence artificielle et des nouvelles technologies analytiques. À travers des discussions captivantes, des études...</itunes:subtitle><itunes:summary><![CDATA[Description du Podcast :L’analyse des données au XXIe siècle est un podcast dédié à l’exploration du monde moderne des données, de l’intelligence artificielle et des nouvelles technologies analytiques. À travers des discussions captivantes, des études de cas et des tendances numériques, ce podcast décrypte comment les données transforment les entreprises, le sport, la santé, la finance et notre quotidien. Accessible aussi bien aux passionnés de technologie qu’aux curieux, il met en lumière les innovations qui façonnent le XXIe siècle.]]></itunes:summary><itunes:category text="Education"/><itunes:explicit>false</itunes:explicit><podcast:guid>f29046e0-6ea1-5e42-bc32-6215fc99c94d</podcast:guid><itunes:type>episodic</itunes:type><item><title>Analyse des données de l'ATP Tour dans un graphe de connaissances</title><link>https://www.spreaker.com/episode/analyse-des-donnees-de-l-atp-tour-dans-un-graphe-de-connaissances--72112389</link><description><![CDATA[<br />ATP Graph Insights est un podcast innovant consacré à l’analyse des données de l’ATP Tour à travers les graphes de connaissances et l’intelligence des données. Chaque épisode explore les statistiques des joueurs, les performances, les rivalités, les classements et les tendances du tennis professionnel grâce à des modèles analytiques avancés et des visualisations intelligentes. Entre technologie, sport et data science, ce podcast offre une nouvelle façon de comprendre le tennis moderne aux passionnés, analystes et amateurs d’innovation numérique.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72112389</guid><pubDate>Fri, 22 May 2026 10:25:08 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72112389/analyse_des_donn_es_de_l_atp_tour_dans_un_graphe_de_connaissances_neo4j_10_min_nz978raylrc.mp3" length="15505911" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/79540bed-55a4-4304-96ed-85b5248ed06c/79540bed-55a4-4304-96ed-85b5248ed06c.srt" type="application/x-subrip" language="fr"/><podcast:transcript url="https://transcription.spreaker.com/starship/79540bed-55a4-4304-96ed-85b5248ed06c/79540bed-55a4-4304-96ed-85b5248ed06c.txt" type="text/plain" language="fr"/><podcast:transcript url="https://transcription.spreaker.com/starship/79540bed-55a4-4304-96ed-85b5248ed06c/79540bed-55a4-4304-96ed-85b5248ed06c.vtt" type="text/vtt" language="fr"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>ATP Graph Insights est un podcast innovant consacré à l’analyse des données de l’ATP Tour à travers les graphes de connaissances et l’intelligence des données. Chaque épisode explore les statistiques des joueurs, les performances, les rivalités, les...</itunes:subtitle><itunes:summary><![CDATA[<br />ATP Graph Insights est un podcast innovant consacré à l’analyse des données de l’ATP Tour à travers les graphes de connaissances et l’intelligence des données. Chaque épisode explore les statistiques des joueurs, les performances, les rivalités, les classements et les tendances du tennis professionnel grâce à des modèles analytiques avancés et des visualisations intelligentes. Entre technologie, sport et data science, ce podcast offre une nouvelle façon de comprendre le tennis moderne aux passionnés, analystes et amateurs d’innovation numérique.]]></itunes:summary><itunes:duration>970</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/green_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Mastering Bar Graphs and Line Graphs</title><link>https://www.spreaker.com/episode/mastering-bar-graphs-and-line-graphs--74443577</link><description><![CDATA[This podcast explores how bar graphs and line graphs can be used to organize, visualize, and interpret statistical data. It works through Problem 2-2B, helping learners understand how to construct and read graphs, compare values, and identify trends within datasets. Perfect for students, educators, researchers, and anyone developing practical skills in statistics and data visualization.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74443577</guid><pubDate>Thu, 17 Jun 2021 13:35:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74443577/statistics_module_2_bar_graphs_and_line_graphs_problem_2_2b_6zyzccs5i5m_2.mp3" length="27875517" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/71d6debd-c18f-4795-94bd-fa2f899d10b1/71d6debd-c18f-4795-94bd-fa2f899d10b1.srt" type="application/x-subrip" language="fr"/><podcast:transcript url="https://transcription.spreaker.com/starship/71d6debd-c18f-4795-94bd-fa2f899d10b1/71d6debd-c18f-4795-94bd-fa2f899d10b1.txt" type="text/plain" language="fr"/><podcast:transcript url="https://transcription.spreaker.com/starship/71d6debd-c18f-4795-94bd-fa2f899d10b1/71d6debd-c18f-4795-94bd-fa2f899d10b1.vtt" type="text/vtt" language="fr"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast explores how bar graphs and line graphs can be used to organize, visualize, and interpret statistical data. It works through Problem 2-2B, helping learners understand how to construct and read graphs, compare values, and identify trends...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how bar graphs and line graphs can be used to organize, visualize, and interpret statistical data. It works through Problem 2-2B, helping learners understand how to construct and read graphs, compare values, and identify trends within datasets. Perfect for students, educators, researchers, and anyone developing practical skills in statistics and data visualization.]]></itunes:summary><itunes:duration>1743</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/green_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Understanding Relationships in Statistical Data</title><link>https://www.spreaker.com/episode/understanding-relationships-in-statistical-data--74443583</link><description><![CDATA[This podcast explores crosstabulations and how they can be used to organize, compare, and interpret relationships between categorical variables. It walks through Problem 2-3B, helping learners understand frequency tables, data comparisons, and how to draw meaningful conclusions from statistical results. Perfect for students, researchers, educators, and anyone developing practical skills in statistics and data analysis.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74443583</guid><pubDate>Sat, 13 Apr 2019 10:30:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74443583/statistics_module_2_crosstabulations_problem_2_3b_uo5oopucx0_2.mp3" length="16858103" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/a329fa0c-6a09-4ef9-a80c-d47867920b31/a329fa0c-6a09-4ef9-a80c-d47867920b31.srt" type="application/x-subrip" language="fr"/><podcast:transcript url="https://transcription.spreaker.com/starship/a329fa0c-6a09-4ef9-a80c-d47867920b31/a329fa0c-6a09-4ef9-a80c-d47867920b31.txt" type="text/plain" language="fr"/><podcast:transcript url="https://transcription.spreaker.com/starship/a329fa0c-6a09-4ef9-a80c-d47867920b31/a329fa0c-6a09-4ef9-a80c-d47867920b31.vtt" type="text/vtt" language="fr"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast explores crosstabulations and how they can be used to organize, compare, and interpret relationships between categorical variables. It walks through Problem 2-3B, helping learners understand frequency tables, data comparisons, and how to...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores crosstabulations and how they can be used to organize, compare, and interpret relationships between categorical variables. It walks through Problem 2-3B, helping learners understand frequency tables, data comparisons, and how to draw meaningful conclusions from statistical results. Perfect for students, researchers, educators, and anyone developing practical skills in statistics and data analysis.]]></itunes:summary><itunes:duration>1054</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/green_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Understanding Types of Data and Measurement Scales</title><link>https://www.spreaker.com/episode/understanding-types-of-data-and-measurement-scales--74443585</link><description><![CDATA[This podcast introduces the fundamental types of data and measurement scales used in statistical analysis, including categorical and numerical data and the levels of measurement. It walks through Problem 1-1C, helping learners understand how to classify data correctly and determine which statistical methods are appropriate for different types of information. Perfect for students, educators, researchers, and anyone building a strong foundation in statistics and data analysis.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74443585</guid><pubDate>Mon, 03 Dec 2018 06:10:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74443585/statistics_module_1_types_of_data_and_measurement_scales_problem_1_1c_fdb9_ybli0u_2.mp3" length="27612629" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/e499812c-b545-4954-a1fe-ba0cedde9346/e499812c-b545-4954-a1fe-ba0cedde9346.srt" type="application/x-subrip" language="fr"/><podcast:transcript url="https://transcription.spreaker.com/starship/e499812c-b545-4954-a1fe-ba0cedde9346/e499812c-b545-4954-a1fe-ba0cedde9346.txt" type="text/plain" language="fr"/><podcast:transcript url="https://transcription.spreaker.com/starship/e499812c-b545-4954-a1fe-ba0cedde9346/e499812c-b545-4954-a1fe-ba0cedde9346.vtt" type="text/vtt" language="fr"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast introduces the fundamental types of data and measurement scales used in statistical analysis, including categorical and numerical data and the levels of measurement. It walks through Problem 1-1C, helping learners understand how to...</itunes:subtitle><itunes:summary><![CDATA[This podcast introduces the fundamental types of data and measurement scales used in statistical analysis, including categorical and numerical data and the levels of measurement. It walks through Problem 1-1C, helping learners understand how to classify data correctly and determine which statistical methods are appropriate for different types of information. Perfect for students, educators, researchers, and anyone building a strong foundation in statistics and data analysis.]]></itunes:summary><itunes:duration>1726</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/green_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Understanding the Number</title><link>https://www.spreaker.com/episode/understanding-the-number--74443584</link><description><![CDATA[This podcast explores essential measures used to summarize and interpret numerical data, including mean, median, mode, percentiles, and quartiles. It walks through Problem 3-1B, helping learners understand how these statistical measures are calculated and what they reveal about a dataset. Perfect for students, educators, researchers, and anyone looking to build a strong foundation in descriptive statistics.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74443584</guid><pubDate>Thu, 19 Apr 2018 13:55:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74443584/statistics_module_3_mean_median_mode_percentiles_and_quartiles_problem_3_1b_ftmvn_dt7y4.mp3" length="17811080" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/7db2c597-f551-4b61-9b72-c4782280e1c6/7db2c597-f551-4b61-9b72-c4782280e1c6.srt" type="application/x-subrip" language="fr"/><podcast:transcript url="https://transcription.spreaker.com/starship/7db2c597-f551-4b61-9b72-c4782280e1c6/7db2c597-f551-4b61-9b72-c4782280e1c6.txt" type="text/plain" language="fr"/><podcast:transcript url="https://transcription.spreaker.com/starship/7db2c597-f551-4b61-9b72-c4782280e1c6/7db2c597-f551-4b61-9b72-c4782280e1c6.vtt" type="text/vtt" language="fr"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast explores essential measures used to summarize and interpret numerical data, including mean, median, mode, percentiles, and quartiles. It walks through Problem 3-1B, helping learners understand how these statistical measures are calculated...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores essential measures used to summarize and interpret numerical data, including mean, median, mode, percentiles, and quartiles. It walks through Problem 3-1B, helping learners understand how these statistical measures are calculated and what they reveal about a dataset. Perfect for students, educators, researchers, and anyone looking to build a strong foundation in descriptive statistics.]]></itunes:summary><itunes:duration>1114</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/green_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Understanding Bar Graphs and Line Graphs</title><link>https://www.spreaker.com/episode/understanding-bar-graphs-and-line-graphs--74443582</link><description><![CDATA[This podcast explores the fundamentals of bar graphs and line graphs and how they help make statistical data easier to understand and interpret. It walks through Problem 2-2B, focusing on reading graphical information, comparing data values, identifying patterns, and understanding trends. Perfect for students, educators, researchers, and anyone looking to strengthen their practical statistics and data visualization skills.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74443582</guid><pubDate>Wed, 18 Oct 2017 14:30:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74443582/statistics_module_2_bar_graphs_and_line_graphs_problem_2_2b_6zyzccs5i5m.mp3" length="26149346" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/9791f5f7-f53d-4c87-a620-675e4a7f917a/9791f5f7-f53d-4c87-a620-675e4a7f917a.srt" type="application/x-subrip" language="fr"/><podcast:transcript url="https://transcription.spreaker.com/starship/9791f5f7-f53d-4c87-a620-675e4a7f917a/9791f5f7-f53d-4c87-a620-675e4a7f917a.txt" type="text/plain" language="fr"/><podcast:transcript url="https://transcription.spreaker.com/starship/9791f5f7-f53d-4c87-a620-675e4a7f917a/9791f5f7-f53d-4c87-a620-675e4a7f917a.vtt" type="text/vtt" language="fr"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast explores the fundamentals of bar graphs and line graphs and how they help make statistical data easier to understand and interpret. It walks through Problem 2-2B, focusing on reading graphical information, comparing data values,...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores the fundamentals of bar graphs and line graphs and how they help make statistical data easier to understand and interpret. It walks through Problem 2-2B, focusing on reading graphical information, comparing data values, identifying patterns, and understanding trends. Perfect for students, educators, researchers, and anyone looking to strengthen their practical statistics and data visualization skills.]]></itunes:summary><itunes:duration>1635</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/green_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Understanding Numerical Summaries in Statistics</title><link>https://www.spreaker.com/episode/understanding-numerical-summaries-in-statistics--74443576</link><description><![CDATA[This podcast explores numerical summaries and how statistical measures can be used to describe and understand datasets. It covers concepts such as measures of central tendency, variability, distribution, and other numerical techniques for turning raw data into meaningful insights. Perfect for students, researchers, business analysts, and anyone looking to strengthen their practical understanding of statistics and data analysis.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74443576</guid><pubDate>Sun, 12 Mar 2017 07:00:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74443576/statistics_module_3_numerical_summaries_f3nt4zevr7e.mp3" length="22461254" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/1dd0bd63-802d-40ea-86f3-04a9a60ea504/1dd0bd63-802d-40ea-86f3-04a9a60ea504.srt" type="application/x-subrip" language="fr"/><podcast:transcript url="https://transcription.spreaker.com/starship/1dd0bd63-802d-40ea-86f3-04a9a60ea504/1dd0bd63-802d-40ea-86f3-04a9a60ea504.txt" type="text/plain" language="fr"/><podcast:transcript url="https://transcription.spreaker.com/starship/1dd0bd63-802d-40ea-86f3-04a9a60ea504/1dd0bd63-802d-40ea-86f3-04a9a60ea504.vtt" type="text/vtt" language="fr"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast explores numerical summaries and how statistical measures can be used to describe and understand datasets. It covers concepts such as measures of central tendency, variability, distribution, and other numerical techniques for turning raw...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores numerical summaries and how statistical measures can be used to describe and understand datasets. It covers concepts such as measures of central tendency, variability, distribution, and other numerical techniques for turning raw data into meaningful insights. Perfect for students, researchers, business analysts, and anyone looking to strengthen their practical understanding of statistics and data analysis.]]></itunes:summary><itunes:duration>1404</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/green_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Mastering Crosstabulations</title><link>https://www.spreaker.com/episode/mastering-crosstabulations--74443575</link><description><![CDATA[This podcast explores crosstabulations and how they can be used to organize, compare, and interpret relationships between categorical variables. It walks through Problem 2-3B, helping learners understand frequency tables, variable comparisons, and the interpretation of statistical results. Perfect for students, researchers, business analysts, and anyone building practical skills in statistics and data analysis.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/74443575</guid><pubDate>Sat, 21 Jan 2017 08:44:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/74443575/statistics_module_2_crosstabulations_problem_2_3b_uo5oopucx0.mp3" length="33714815" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/6b77b422-1f60-4d16-bba7-fb80dae80326/6b77b422-1f60-4d16-bba7-fb80dae80326.srt" type="application/x-subrip" language="fr"/><podcast:transcript url="https://transcription.spreaker.com/starship/6b77b422-1f60-4d16-bba7-fb80dae80326/6b77b422-1f60-4d16-bba7-fb80dae80326.txt" type="text/plain" language="fr"/><podcast:transcript url="https://transcription.spreaker.com/starship/6b77b422-1f60-4d16-bba7-fb80dae80326/6b77b422-1f60-4d16-bba7-fb80dae80326.vtt" type="text/vtt" language="fr"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast explores crosstabulations and how they can be used to organize, compare, and interpret relationships between categorical variables. It walks through Problem 2-3B, helping learners understand frequency tables, variable comparisons, and the...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores crosstabulations and how they can be used to organize, compare, and interpret relationships between categorical variables. It walks through Problem 2-3B, helping learners understand frequency tables, variable comparisons, and the interpretation of statistical results. Perfect for students, researchers, business analysts, and anyone building practical skills in statistics and data analysis.]]></itunes:summary><itunes:duration>2108</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/green_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item></channel></rss>
