Podcast appearances and mentions of Roger D Peng

Impacting statistical and data science communites is aspiration that many of us share. Outlets for such impact include work environments where we may collaborate with interdisciplinary teams. Other newer outlets are podcasting in a variety of publishing platforms. Today we will explore the origin story of such a contributor with guest Roger Peng. Roger D. Peng (@rdpeng) is a Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and the Co-Director of the Johns Hopkins Data Science Lab. His research focuses on the development of statistical methods for addressing environmental health problems and he has made major contributions to our understanding of the health effects of indoor and outdoor air pollution.

Our lives are increasingly shaped by statistics and data. However, they remain concepts that can be difficult for broad audiences to understand. A number of outlets, including this one, have sprung up to help make them more accessible. Today another one, the “Not So Standard Deviations” podcast is the focus of this episode of Stats+Stories with guests Hilary Parker and Roger D. Peng. Hilary Parker (@hspter) is a Data Scientist, previously of Stitch Fix, Etsy, and the 2020 Biden for President Campaign. Her work focuses on the intersection of data science and product, from deeply understanding users to designing new experiences that depend on innovative data pipelines and client interactions. Roger D. Peng (@rdpeng) is a Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and the Co-Director of the Johns Hopkins Data Science Lab. His research focuses on the development of statistical methods for addressing environmental health problems and he has made major contributions to our understanding of the health effects of indoor and outdoor air pollution.

Roger D. Peng is a Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health where his research focuses on the development of statistical methods for addressing environmental health problems. He is also a co-founder of the Johns Hopkins Data Science Specialization, the Simply Statistics blog where he writes about statistics for the general public, the Not So Standard Deviations podcast with Hilary Parker, and The Effort Report podcast with Elizabeth Matsui. He is a Fellow of the American Statistical Association and is the recipient of the 2016 Mortimer Spiegelman Award from the American Public Health Association, which honors a statistician who has made outstanding contributions to public health. Roger can be found on Twitter and GitHub at @rdpeng.

Roger D. Peng is a Professor in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health. We talk about statistics, podcasts, and responsibilities of the data scientist. For more information: Data Science Specialization on Coursera The Effort Report podcast Not So Standard Deviations podcast Scriptnotes podcast Hello Internet podcast

シリコンバレーのスタートアップ、exploratoryのCEO、KanAugustさんと一緒にuriboが、Rユーザの楽しみを共有したい、米国でのデータサイエンス事情、R人気、企業やアカデミアでのプログラミング教育、Rパッケージでクリエイティビティを高める、limeやedarfといったデータサイエンスの手法を身近にしていくためのパッケージといった内容を話します。 ばしょ Tsukuba, Japan - California, US 告知 人気のExploratory主催、データサイエンス・ブートキャンプが2018年1月に渋谷で開催されます。 今回のゲストの @KanAugust さんからRラジオをお聴きの皆さんへディスカウントのプレゼントをいただきました！ Exploratoryのウェブサイトのチャットフォームよりディスカウントのキャンペーンを適用いただけるようです。 https://exploratory.io キーワードは「third wave」「第3の波」です。みなさんぜひ！ 関連リンク Exploratory オッケー、ぜひやりましょう。呼んでいただければ、SFからいつでも参加します！— Kan Nishida (@KanAugust) January 23, 2017 @pmarca Marc Andreessen マーク・アンドリーセン Spark Andreessen Horowitz – Software Is Eating the World Why Software Is Eating The World Courseraの機械学習プログラム @AndrewYNg Andrew Ng Roger D. Peng パイプ論争 My aversion to pipes The Incredible Growth of Python @drob (David Robinson) 第3の波 AirbnbのデータサイエンティストはなぜRが好きなのか? データサイエンスのすゝめ — シリコンバレーに全てを飲み込まれる前に Exploratory ブログ Exploratory’s Weekly Update コホート分析で明らかになった突っ張り横綱の短命 アメリカにおける日系人の強制収容 安倍政権による北朝鮮ミサイル打ち上げ関与の陰謀論をデータから検証してみた @double-y 株式会社ホクソエム 匿名知的集団ホクソエム CRAN欲については#6でも@y__matsuが触れています tidyquantパッケージ LIME ちょうどTokyo.Rでも紹介がありました。 LTの資料です #tokyor https://t.co/UCak7x9pS2— sinhrks (@sinhrks) December 16, 2017 Exploratory Data Analysis Using Random Forests 話題になったパッケージ reshape: dplyrの前身的なデータ操作パッケージ dplyr: 定番となっているデータ操作パッケージ magrittr: パイプ演算子等の補助機能を実装 stringr: 文字列操作 lubridate: 日付・時間操作 tidyr: データ整形 magic: 画像処理 geojsonio: geojsonファイルのやり取り sf: simple featureを実装した地理空間データ操作、空間処理のためのパッケージ tidyquant lime edarf