UDEMY R PROGRAMMING HANDS ON SPECIALIZATION FOR DATA SCIENCE LV1 TUTORIAL-kEISO

Category: Tutorial


Posted on 2021-07-14, by uswarez.

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UDEMY R PROGRAMMING HANDS ON SPECIALIZATION FOR DATA SCIENCE LV1 TUTORIAL-kEISO
Genre: eLearning | Language: English
Size: 2.63 GB





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▀▓█▓▄▄▓████▄▄▄██▀▀ RELEASE INFORMATION ▀▀██▄ ▄████▓▄▄▓█▓▀
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█ ▀█▓▓██▄▄██ TITLE: R Programming Hands-on Specialization for ██▄▄██▓▓█▀ █
█▀ ▐█▒▓██░██ Data Science (Lv1) ██░██▓▒█▌ ▀█
█▀ █▓███▒█▌ ▐█▒███▓█ ▀█
█▀ ▐█▓███▓█░ ░█▓███▓█▌ ▀█
█▀ ▐██████▌ PUBLISHER..........: UDEMY ▐██████▌ ▀█
█▀ ▀▀████▓ LINK...............: https://v.gd/ESEwdE ▓████▀▀ ▀█
▌ ▓██▌▄ ▀▀ AUTHOR.............: Irfan Elahi ▀▀ ▄▐██▓ ▐
▌▐███░▒███▌ LEVEL..............: Beginner Level ▐███▒░███▌▐
▌ ████▓████ RUNTIME............: 661 minutes ████▓████ ▐
█ ▐▓█▀█████░ LANGUAGE...........: ENGLISH ░█████▀█▓▌ █
█▀ ▀▄█▄▄▀▀█▓ RELEASE TYPE.......: RETAIL ▓█▀▀▄▄█▄▀ ▀█
█▀▄ ▄▀███▓▄ RELEASE FORMAT.....: ISO ▄▓███▀▄ ▄▀█
█▀█ ▐▓▄▀████ STORE DATE:........: 2017.04.03 ████▀▄▓▌ █▀█
█▀█ ▐█▌▓██▓ RELEASE DATE.......: 2017.04.04 ▓██▓▐█▌ █▀█
▓▀█ ▓▌░██▓ ISO SIZE...........: 1,409,593,344 ▓██░▐▓ █▀▓
▒▀█ █ ▓█▓ ISO CHECKSUM.......: 32E291B5 ▓█▓ █ █▀▒
░ █ ▌░██ DISKCOUNT..........: 29 * 50MB ██░▐ █ ░
▓█▌▓█▌ SAVED MONEY........: YOU DID! ▐█▓▐█▓
░ ▒█▐██ DISKNAME...........: keiso_urphsdslv1 ██▌█▒ ░
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█▀ ▓░ ▄ █▄▌██ ▄ ▀ ▀█▌▐▓▀ TUTORIAL ▀▓▌▐█▀ ▀ ▄ ██▐▄█ ▄ ░▓ ▀█
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█▀█ ▄▓ ▄ ▐▌ ▐▌ ▄ ▓▄ █▀█
█▀█ █▓ ▄▓▄▀ Ráis considered as lingua franca of Data ▀▄▓▄ ▓█ █▀█
█▀█ ▓▒ ▒ Science.áCandidatesáwith expertise in this ▒ ▒▓ █▀█
█▀█ ▒░ ░ language are in exceedinglyáhigh demand and paid ░ ░▒ █▀█
▓▀█ ▒░ lucratively in Data Science. IEEEáhas ░▒ █▀▓
▒▀█ ░▓ repeatedlyáranked Ráas one of the top and most ▓░ █▀▒
░ █ ▒ popularáProgramming Languages. Almost every Data ▒ █ ░
▓ ░ Science and Machine Learningájob posted ░ ▓
░ ▒ ░ globallyámentions the requirement foráR language ░ ▒ ░
░ proficiency. All the top ranked universities like MITáhave ░
░ included Ráin their respective Data Science courses ░
░ curriculum. ░
░ ░
░ With its growing community of users in Open Source space, R allows ░
░ you to productively work on complex Data Analysis and Data ░
░ Science projects to acquire, transform/cleanse, analyse, model ░
░ and visualise data to supportáinformed decision ░
░ making. But there's one catch:áRáhas quite a steep ░
░ learning curve! ░
░ ░
░ How's this course different from so many other ░
░ courses? ░
░ ░
░ Many of the available training courses don't cover ░
░ Ráprogramming in itsáentirety. To be proficient in R for ░
░ Data Scienceárequires thorough understanding of Ráprogramming ░
░ constructs, data structures and none of the available courses ░
░ coveráthem with the comprehensiveness and depth thatáeach topic ░
░ deserves. Many courses dive straight into Machine Learning ░
░ algorithms and advancedástuff without thoroughly comprehending ░
░ the Ráprogramming constructs. Such approaches to ░
░ teacháRáhave a lot of drawbacks andáthat's where many Data ░
░ Scientists struggle with in their professional ░
░ careers. ░
░ ░
░ Also, the real value in learning Rálies in learning ░
░ from professionals who are experienced, ░
░ proficientáand are still working in Industry on ░
░ huge projects;áa trait which is missing in 90% of ░
░ the training courses available on Udemy and other ░
░ platforms. ░
░ ░
░ This is what makes this course stand-out from the rest.áThis ░
░ course has been designed to address these andámany ░
░ otheráfallacies and uniquely teaches Ráin a way that you ░
░ won't find anywhere else. Taught by me, an experienced Data ░
░ Scientist currently working in Deloitte (World's largest ░
░ consultancy firm)áin Australia and has worked on a number of ░
░ Data Science projects in multiple niches like ░
░ Retail, Web, Telecommunication and web-sector. ░
░ Iáhave over 5 years ofádiverse experience of ░
░ working in my own start-ups (related to Data Science ░
░ and Networking), BPO and digital ░
░ mediaáconsultancy firms,áandáináacademia's Data ░
░ Science Research Labs. Itsáa rare combination of ░
░ exposure that you will hardlyáfind in anyáother ░
░ instructor.áYou will be leveraging my valuableáexperience to ░
░ learn and specialize R. ░
░ ░
░ What you're going to learn in this course? ░
░ ░
░ The course will start from the very basics of introducing Data ░
░ Science, importance of R and then will gradually build your ░
░ concepts. In the first segment, we'll startáfrom setting up ░
░ Rádevelopment environment, RáData types,áData ░
░ Structures (the building blocks of Ráscripts), ░
░ Control Structures and Functions. ░
░ ░
░ The second segment comprises of applying your ░
░ learned skills on developing industry-grade Data ░
░ Science Application. You will be introduced to the ░
░ mind-set and thought-process of working on Data ░
░ Science Projects and Application development. The project will ░
░ then focus on developing automated and robust Web Scraping bot in ░
░ R. You will get the amazing opportunities to discover what ░
░ multiple approaches are available and how to assess ░
░ alternativesáwhile making design decisions (something that ░
░ Data Scientists do everyday). You will also be exposed to web ░
░ technologies like HTML,áDocument Object Model,áXPath, ░
░ RSelenium in the context of web scraping,áthat will take your ░
░ data analysis skills to the next level. The course ░
░ will walk you through the step by step process of ░
░ scraping real-life and live data from a ░
░ classifieds website to analyse real-estate trends in ░
░ Australia. This will involve acquiring, cleansing, ░
░ munging and analyzing data using Rástatistical and ░
░ visualisation capabilities. ░
░ ░
░ Each and every topic will be thoroughly explained with ░
░ real-life hands-on examples, exercises along with disseminating ░
░ implications, nuances, challenges and best-practices based on ░
░ my years of experience. ░
░ ░
░ What you will gain from this course will be incomparable to what's ░
░ currently available out there as you will be leveraging my ░
░ growingáexperience and exposure in Data Science.áThis course ░
░ will position you to not onlyáapply for Data ░
░ Science jobs but will also enable you toáuse Ráfor ░
░ more challenging industry-grade projects/problems ░
░ and ultimately itáwill super-charge your career. ░
░ ░
░ So take the decision and enrol in this course and ░
░ lets work together to make you specializeáináR ░
░ Programming like never before! ░
░ ░
░ ░
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