Transcript: Cross Country/Half Marathon Soccer Volleyball Tennis Swimming & Diving Track & Field Table Tennis Dance Company Earning an Associate's Degree Professors active in the industry Testing living in NYC Internship Opportunities Cultural influences Maria Paolillo Courses at FIT Purdue vs FIT Teaching Styles Longer class periods, once a week Smaller classes Smaller campus Why FIT? FIT Athletics Anything and Everything you need to know about attending the Fashion Institute of Technology Cost of living - Everything twice as expensive Books & Tuition -FIT Bookstore vs Amazon How I paid for it Extra Curricular's Plan & think ahead Who should and should not apply fitnyc.edu for further information For Merchandise Management Students: -Merchandising Math -Advertising -Product Development -Fashion Marketing -Fashion Business Practices -Strategies of Selling -Contemporary Retail Management Life at FIT For those thinking of applying...
Transcript: Design Consistency Clarity Concise Language & Grammar Choosing a Career Know your landscape Network Use Your Connections Social Media Blog The Interview Preparation Andrew Burke Q & A The Resume Starting a New Job Set Expectations Know the Key Players Ask for Feedback Often Observe Be Visible Your Personal Story Be "In The Know" Internships Get Rejected Identify your Strengths Keep your Options Open Priorities Where do you want to be in 10 years? Tips on Becoming a Professional Be Yourself Do Your Homework Differentiate Have an Opinion Ask Questions Potential vs. Experience Two-Way Street
Transcript: DATA ANALYTICS Introduction: Data are simply facts and statistics collected together for reference or analysis. What is Data Data Data are simply facts or figures. Processed data presented in a meaningful manner is called information. Data vs. Information Data vs. Information To make sense out of lots of data, we look for interesting patterns and present them in a structured format. Cool people call this data mining. Making sense out of data It is the science of examining raw data with the purpose of drawing helpful conclusions for improved decision making.. ..or something like that. Data Analytics: Data Analytics 1. Cost reduction. 2. Faster & better decision making. 3. New products and services. Advantages: Advantages Present all the details The Process #1 Data Requirement The information is essential as contributions to the examination, which is determined in light of the necessities of those coordinating the investigation or clients who will utilize the completed result of the investigation. The general sort of element whereupon the information will be gathered is alluded to as a test unit e.g., a man or populace of individuals. Particular factors with respect to a populace (e.g., age and salary) might be indicated and gotten. Information might be numerical or unmitigated i.e., a content name for numbers. #2 Data Collection Information is gathered from an assortment of sources. The necessities might be conveyed by investigators to overseers of the information, for example, data innovation work force inside an association. The information may likewise be gathered from sensors in the earth, for example, movement cameras, satellites, recording gadgets, and so on. It might likewise be acquired through meetings, downloads from online sources, or perusing documentation. #3 Data Processing The periods of the insight cycle used to change over crude data into significant insight or information are adroitly like the stages in information investigation. Information at first go must be prepared or sorted out for investigation. For example, these may include setting information into lines and sections in a table organization i.e., organized information for assist investigation, for example, inside a spreadsheet or measurable programming. Data Cleaning #4 Once prepared and sorted out , the information might be deficient, contain copies, or contain mistakes. The requirement for information cleaning will emerge from issues in how information is entered and put away. Information cleaning is the way toward avoiding and redressing these mistakes. Normal assignments incorporate record coordinating, recognizing mistake of information, generally nature of existing data,duplication, and segment segmentation.Such information issues can likewise be distinguished through an assortment of scientific procedures. #5 Scientific recipes or models called calculations might be connected to the information to recognize connections among the factors, for example, relationship or causation. When all is said in done terms, models might be produced to assess a specific variable in the information in light of different factors in the information, with some remaining blunder contingent upon demonstrate precision ). In numerical terms, Y (deals) is an element of X (promoting). It might be portrayed, where the model is planned with the end goal that an and b limit the mistake when the model predicts Y for a given scope of estimations of X. Investigators may endeavor to manufacture models that are illustrative of the information to improve examination and convey results. Modeling and algorithms Once the information is broken down, it might be accounted for in numerous organizations to the clients of the examination to help their prerequisites. The clients may have input, which results in extra examination. Thusly, a great part of the scientific cycle is iterative. Data Communication #6 NEED OF BUSINESS SECTORS With an Data Analyst course you'll have the capacity to give an organization basic leadership understanding into the accompanying key regions: • Anticipate client patterns and practices • Investigate, translate and convey information in significant ways • Increment business profitability • Drive powerful basic leadership BUSINESS There are numerous different manners by which innovation is being received, giving wellbeing information something to do in the quest for enhanced social insurance. For instance, healing centers have started to utilize radio-recurrence recognizable proof (RFID) to track hardware and medications as they move all through their offices. RFID sweeps of a thing or gadget can catch their substance, area, make date, arrange numbers, and sending information. This data can help guarantee meds are used before their expiry date, or rapidly find an imperative bit of gear. In the more drawn out term, recorded information on the connections of solutions, hardware and specialists will give significant data to medicinal services
Transcript: and subtitle We have the conclusion. So make any final notes you can think of, within this box. Then make jokes. Tear off your break away pants. Party. Example Title Facebook Twitter LinkedIn Mustache Coalition And Finally, Mega Point #1 Social Media Because who doesn't? With Bullet Points Because People Love Bullet Points Also, Mustaches
Transcript: The true benefit is the payment made for the generated electricity, so it should be called "The Generation Tariff" What is it? How many of those do you know of? The Feed in Tariff A 25 year, index linked source of income A mis-nomer
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Transcript: FIT TEMPLATE 2018-2019 FAL 1 25% --> Min Stay 2 Night FAL 2 20% --> Min Stay 2 Night FAL 3 15% --> No Minimum Stay Compliance Team F - SM CODE - Year - Agent/Company Code - Contract Number Supervisor / Sales Manager Name F-AY-18-HIS-012A Based on the Booking Code exp : FAL1 25% --> 100%-25% = 75% --> Min Stay 2 Night exp : Asia World Indonesia RIMBA New Year Promotion (06 July 2018 - 25 September 2018 Agent/Company Name Program/Promotion Name (Validity) Sales Name F : FIT SM Code : 2 Digits exp: Aya --> AY Year : 2 Digits exp: 2018 --> 18 Agent/Company Code: 3 Digits exp: PT. HIS Bali Tour & Travel --> HIS Contract Number: 3 Digits exp: 012 F-AY-18-HIS-012 XXX Revision - Long Date Format Exp: 1st Revision - 06 March 2018
Transcript: Education Pros : Cons : Cons : Away from home Might not like your roommate or roommates Could end up not liking professors Private Universities Campus Life Education Campus Life Experience Why you should go to a private university Experience More expensive Might have to travel farther to go to the university that has your major Harder to get accepted into Usually a lot of people Loud from people during the day, events, and parties. Expected to keep clean Cons : Good Professors Better chance of getting a job you want Specific majors are taught better at certain universities More scholarship opportunities You'll meet new people Discover new places, towns, and stores Possibly travel, if university is away from home Education Campus Life Usually have a clean, well cared for campus Most likely a big, open campus Nice facilities, sports fields, benches, ect. Pros : Pros : Experience
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