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Data scientists are a new breed of analytical data expert who have the technical skills to solve complex problems u2013 and the curiosity to explore what problems need to be solved. They're part mathematician, part computer scientist and part trend-spotter.
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Beginners guide 101 d a t a s c i e n t i s t FIRST: KNOW WHAT IS DATA SCIENCE Onlygoforitifyou'reprepared tostudystatisticsand programmingasfundamental topics. Andknowwhattheexact jobroleis. Don'tjustlookitas thesexiestjob! INDUCTION Read/Watchbasictutorialson Python & Statistics (Mean, Median, Mode, Standard Deviation, Probability, etc) Tip: Youcanattainfree webinarsconductedby industrialexperts COMPLETE A COURSE Optforaninteractiveonline programwhichsuitsyour budget, career requirements, etc. REAL-TIME PROJECTS Tip: Lookforgoodprojects, flexibility, industrialtrainers, accessibility(batch, material) Thereareplentyofdatasets availableonkaggleonwhichyou canperformmachinelearning algorithms, datavisualization. Facerecognition, Fraud Detection, Recommendation System, aresomegoodprojects. STAY UPDATED Followsomewell-known DataScientistonLinkedIn andlookuptotheirwork. EVALUATE YOUSELF BeapartofDataScience enthusiasticgroupsonother socialmediaplatforms. Also followsomeblogsforlatest updates Applyforonlinequizortests tocheckyourcredibilityand howwellyouhaveunderstood theconceptsortools. Iftheresultsaregoodthen youcanmoveforwardorgo backandputmoreefforts. UPDATE YOUR CV Withalloftheeffortand hardworkyou'veputintoget tothispoint, thisisthelast stepinportrayingthemina mannerthatwillhelpyou breakintotheITindustry. DON'T GIVE UP Youmayhaveproblemsin comprehendingcomplicated topicswhenstudyingData Science; inthiscase, youmay exploreadifferenttechniqueor sources. Andkeepinmindthat it'llallbeworthitintheend. Tip: Focusontools & projectswhicharetobe addedinyourCV