LEADER 04604nam 22007215 450 001 9910338006503321 005 20200703025707.0 010 $a1-4842-4907-0 024 7 $a10.1007/978-1-4842-4907-9 035 $a(CKB)4100000008403485 035 $a(MiAaPQ)EBC5786710 035 $a(DE-He213)978-1-4842-4907-9 035 $a(CaSebORM)9781484249079 035 $a(PPN)242826385 035 $a(OCoLC)1107798861 035 $a(OCoLC)on1107798861 035 $a(EXLCZ)994100000008403485 100 $a20190607d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aManaging Your Data Science Projects $eLearn Salesmanship, Presentation, and Maintenance of Completed Models /$fby Robert de Graaf 205 $a1st ed. 2019. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2019. 215 $a1 online resource (146 pages) 311 $a1-4842-4906-2 320 $aIncludes bibliographical references. 327 $aChapter 1: Data Science Team Strategy -- Chapter 2: Data Science Strategy for Projects -- Chapter 3: Data Science Sales Technique -- Chapter 4: Believable Models -- Chapter 5: Reliable Models -- Chapter 6: Promoting Your Data Science Work -- Chapter 7: Team Efficiency -- Chapter 8: Afterword. 330 $aAt first glance, the skills required to work in the data science field appear to be self-explanatory. Do not be fooled. Impactful data science demands an interdisciplinary knowledge of business philosophy, project management, salesmanship, presentation, and more. In Managing Your Data Science Projects, author Robert de Graaf explores important concepts that are frequently overlooked in much of the instructional literature that is available to data scientists new to the field. If your completed models are to be used and maintained most effectively, you must be able to present and sell them within your organization in a compelling way. The value of data science within an organization cannot be overstated. Thus, it is vital that strategies and communication between teams are dexterously managed. Three main ways that data science strategy is used in a company is to research its customers, assess risk analytics, and log operational measurements. These all require different managerial instincts, backgrounds, and experiences, and de Graaf cogently breaks down the unique reasons behind each. They must align seamlessly to eventually be adopted as dynamic models. Data science is a relatively new discipline, and as such, internal processes for it are not as well-developed within an operational business as others. With Managing Your Data Science Projects, you will learn how to create products that solve important problems for your customers and ensure that the initial success is sustained throughout the product?s intended life. Your users will trust you and your models, and most importantly, you will be a more well-rounded and effectual data scientist throughout your career. 606 $aBig data 606 $aProject management 606 $aLeadership 606 $aSuccess in business 606 $aCareers 606 $aEmployees?Coaching of 606 $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120 606 $aBig Data/Analytics$3https://scigraph.springernature.com/ontologies/product-market-codes/522070 606 $aProject Management$3https://scigraph.springernature.com/ontologies/product-market-codes/515020 606 $aBusiness Strategy/Leadership$3https://scigraph.springernature.com/ontologies/product-market-codes/515010 606 $aCareers in Business and Management$3https://scigraph.springernature.com/ontologies/product-market-codes/517020 606 $aCoaching$3https://scigraph.springernature.com/ontologies/product-market-codes/517030 615 0$aBig data. 615 0$aProject management. 615 0$aLeadership. 615 0$aSuccess in business. 615 0$aCareers. 615 0$aEmployees?Coaching of. 615 14$aBig Data. 615 24$aBig Data/Analytics. 615 24$aProject Management. 615 24$aBusiness Strategy/Leadership. 615 24$aCareers in Business and Management. 615 24$aCoaching. 676 $a005.2762 700 $ade Graaf$b Robert$4aut$4http://id.loc.gov/vocabulary/relators/aut$01063740 801 0$bUMI 801 1$bUMI 906 $aBOOK 912 $a9910338006503321 996 $aManaging Your Data Science Projects$92534300 997 $aUNINA