[{"data":1,"prerenderedAt":326},["ShallowReactive",2],{"project-7068672":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":10,"maker":11,"posted_at":12,"year":13,"points":14,"comments":15,"rank_in_year":16,"shown_in_year":17,"top":18,"tier":19,"category":20,"subcategory":21,"format":22,"keywords":23,"reception":28,"sentiment":29,"stance_mix":30,"scored_comments":35,"aspects":36,"strip":41,"post_text":44,"what":45,"said":83,"maker_in_thread":171,"shape":180,"grid":184,"attempts":286,"same_week":287,"maker_shows":34,"maker_hidden":318,"reader_version":319,"card":320},"7068672","Open-Source Data Science Curriculum","An Open-Source Data Science Curriculum","title","Show HN: An Open-Source Data Science Curriculum","https:\u002F\u002Fgithub.com\u002Fdatasciencemasters\u002Fgo\u002F","github.com","coderjack",1389865599,2014,135,43,192,2272,9,"notable","learning_science","curriculum","other",[24,21,25,26,27],"data science","open source","machine learning","python","loved",0.287,{"positive":31,"neutral":32,"mixed":33,"critical":34},8,11,2,1,22,{"idea":37,"docs":39},{"positive":38,"critical":34},6,{"positive":40,"critical":40},0,[42,42,42,43,43,43,43,42,40,34,40,40,40,40,40,40,40,43,40,43,43,40,40,40,40,40,42,40,43,43,43,42,43,40,43,40,42,40,40,42],5,3,null,{"problem":46,"audience":58,"pricing":44,"motivation":68,"time_to_build":44,"stack":72,"openness":81,"stage":82,"team_size":82},{"value":47,"source":48,"evidence":49},"Gives a structured path for learning data science from free resources.","inferred",[50,54],{"id":51,"by":52,"text":53},"7069912","jlees","I feel like lists of resources are OK, but with something like data science, which has its own branches and specialities, it would be good to have some kind of stack ranking of…",{"id":55,"by":56,"text":57},"7069158","afaqurk","The original post for this was what inspired me to create this: http:\u002F\u002Fafaq.dreamhosters.com\u002Ffree-cs",{"value":59,"source":48,"evidence":60},"Self-learners and people starting in data science.",[61,64],{"id":62,"by":11,"text":63},"7072261","The list is for beginners.Ofcourse data science is a huge domain and you can't actually make a roadmap to be a master in this field but I am sure this list will help people to…",{"id":65,"by":66,"text":67},"7072095","the_watcher","It would be nice to have a clear list of assumed capabilities (for example, I am familiar with basic programming and have built a few websites, but I haven't taken a math class…",{"value":69,"source":48,"evidence":70},"Helping people learn data science, built on an existing free CS curriculum.",[71],{"id":55,"by":56,"text":57},[73],{"value":74,"source":75,"evidence":76},"Python","commenter",[77],{"id":78,"by":79,"text":80},"7069937","hootener","I do a lot of statistical work, but wouldn't call myself a data scientist. To that end: > I geared the original curriculum toward Python tools and resources, so I've explicitly…","open_source","unknown",{"praise":84,"objections":107,"requests":126,"questions":142,"alternatives":153},[85,99],{"value":86,"source":75,"evidence":87},"Good resource that is well organized for learning data science.",[88,92,96],{"id":89,"by":90,"text":91},"7072673","squigs25","Well done! As a data scientist, I can say that your curriculum is spot on. And I also think you're taking the right approach building\u002Fhacking\u002Fdoing rather than going to an…",{"id":93,"by":94,"text":95},"7069848","emre","Thanks for putting these resources together, this is amazing",{"id":97,"by":66,"text":98},"7072115","This is fantastic. Addresses my concern about not being quite up to par in my math education. Combining the two of these is exactly what I'm looking for.",{"value":100,"source":75,"evidence":101},"Inspired by and built from an existing free CS curriculum.",[102,103],{"id":55,"by":56,"text":57},{"id":104,"by":105,"text":106},"7069454","prodev42","i like this. good job.",[108,115,122],{"value":109,"source":75,"evidence":110},"Curriculum lacks coverage of core analytical aptitudes and questioning skills.",[111],{"id":112,"by":113,"text":114},"7070093","blakerson","I'm biased as a non-technical analyst with an academic history, but I'm concerned that the curriculum doesn't meet the most basic needs. Quoting the section 'An Academic…",{"value":116,"source":75,"evidence":117},"Beginner might find the list intimidating; needs ranking of topics.",[118,119],{"id":51,"by":52,"text":53},{"id":120,"by":52,"text":121},"7074266","I think the list is more helpful for someone a step or two beyond beginner. A true beginner is going to look at that and be scared. Once they've read a few introductory things,…",{"value":123,"source":75,"evidence":124},"Does not state the assumed math and programming background.",[125],{"id":65,"by":66,"text":67},[127,131,135],{"value":128,"source":75,"evidence":129},"List assumed math, stats and programming prerequisites.",[130],{"id":65,"by":66,"text":67},{"value":132,"source":75,"evidence":133},"Add a stack ranking of topics beyond 'start here'.",[134],{"id":51,"by":52,"text":53},{"value":136,"source":75,"evidence":137},"Add materials that teach analysis.",[138],{"id":139,"by":140,"text":141},"7072316","clarecorthell","Sure, you can learn to use a technology and still be braindead or poor at analysis. This is an applied curriculum with a focus on specific technologies that enable an…",[143,149],{"value":144,"source":75,"evidence":145},"Should courses be taken in order or by category?",[146],{"id":147,"by":66,"text":148},"7072123","Is the best approach to just go straight down the list? Or should I do the first required course in each before moving on to the next?",{"value":150,"source":75,"evidence":151},"Why Python rather than R?",[152],{"id":78,"by":79,"text":80},[154,164],{"value":155,"source":75,"evidence":156},"Coursera data science courses",[157,161],{"id":158,"by":159,"text":160},"7069105","it_learnses","thanks. this is a good resource :) I've explored most of these courses on Coursera over the last year before finally deciding to go to grad school. For me, the biggest factor was…",{"id":162,"by":105,"text":163},"7069450","for the first course Intro to Data Science, the only access you will have are the videos. You can't see other resources like homeworks and other stuff. What to do about this?",{"value":165,"source":75,"evidence":166},"videolectures.net",[167],{"id":168,"by":169,"text":170},"7071190","Ajoo","A resource I've found invaluable and that I can't find listed is videolectures.net Particularly http:\u002F\u002Fvideolectures.net\u002Fpascal\u002F has plenty of lectures and tutorials from their…",{"comments":43,"answered":40,"key":172},[173,174,177],{"id":62,"text":63},{"id":175,"text":176},"7072272","All credits goes to the original author.",{"id":178,"text":179},"7072281","surely awkward.... :-)",{"commenters":181,"max_depth":42,"maker_replies":43,"first_comment_mins":182,"lifespan_hours":183},26,196,76,[185,187,188,190,193,195,197,199,200,204,206,210,213,216,218,221,224,226,228,231,233,234,235,238,241,244,247,249,252,254,257,259,261,262,264,265,269,271,273,276,277,281,282],[89,40,42,186,90,40],"project\u002Fpositive\u002Fidea",[55,34,42,186,56,40],[104,34,42,189,105,40],"project\u002Fpositive\u002Fnone",[191,34,43,192,56,40],"7069637","maker\u002Fneutral\u002Fnone",[147,34,43,194,66,40],"project\u002Fneutral\u002Fdocs",[196,34,43,194,56,40],"7084417",[198,34,43,194,56,40],"7084419",[97,34,42,186,66,40],[201,34,40,202,203,40],"7076194","other\u002Fneutral\u002Fnone","j_s",[112,33,34,205,113,40],"project\u002Fcritical\u002Fidea",[207,33,40,208,209,40],"7070606","commenter\u002Fpositive\u002Fidea","craigching",[211,33,40,212,113,40],"7078223","commenter\u002Fneutral\u002Fnone",[214,33,40,202,215,40],"7071795","SkyMarshal",[139,33,40,217,140,40],"commenter\u002Fneutral\u002Fidea",[219,43,40,202,220,40],"7071309","Beliavsky",[222,43,40,212,223,40],"7071470","hdevalence",[225,43,40,202,220,40],"7071570",[227,43,40,202,140,40],"7072007",[51,229,43,230,52,40],4,"project\u002Fmixed\u002Fdocs",[62,229,40,232,11,34],"maker\u002Fneutral\u002Fdocs",[120,229,43,230,52,40],[78,42,43,194,79,40],[236,42,40,202,237,40],"7070377","algebr",[239,42,40,202,240,40],"7071037","skadamat",[242,42,40,202,243,40],"7071180","hadley",[245,42,40,202,246,40],"7071574","pyoung",[248,42,40,212,140,40],"7072092",[250,38,42,186,251,40],"7069128","jimzvz",[65,253,43,194,66,40],7,[255,253,40,212,256,40],"7072935","stillsut",[258,253,43,232,66,40],"7078046",[260,31,43,194,209,40],"7070338",[168,18,43,194,169,40],[158,263,42,186,159,40],10,[162,32,43,194,105,40],[266,32,40,267,268,40],"7069679","commenter\u002Fneutral\u002Fdocs","mparr4",[270,32,43,194,251,40],"7069743",[272,32,40,212,240,40],"7071041",[93,274,42,275,94,40],12,"maker\u002Fpositive\u002Fnone",[175,274,40,192,11,34],[278,279,40,202,280,40],"7069225",13,"igvadaimon",[178,279,40,202,11,34],[283,284,42,186,285,40],"7070357",14,"Ryel",[],[288,293,298,303,308,313],{"id":289,"name":290,"points":291,"category":292},"7095228","Geocodio",224,"data",{"id":294,"name":295,"points":296,"category":297},"7087927","hike.io",145,"consumer_social",{"id":299,"name":300,"points":301,"category":302},"7094465","node-webkit-hipster-seed",101,"dev_tools",{"id":304,"name":305,"points":306,"category":307},"7090003","play-clj",93,"languages",{"id":309,"name":310,"points":311,"category":312},"7101923","Lychee",92,"infrastructure",{"id":314,"name":315,"points":316,"category":317},"7090117","Akiva",71,"ai",false,"v2",{"id":321,"name":5,"line":6,"ai":318,"cat":20,"year":13,"points":14,"comments":15,"rec":28,"s":322,"top":18,"kw":323,"maker":11,"domain":10,"tier":19,"attempts":40,"strip":324,"url":9,"mix":325,"praise":86,"objection":109,"sub":21},7068672,0.29,[24,21,25,26,27],"5553333501000000030330000050333530305005",[31,32,33,34],1793990902017]