Business analytics course in hyderabad
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2) NZZ uses data science to build data products like article recommendations and the NZZ News Companion app to address challenges from declining newspaper revenues and readership.
3) Key aspects of NZZ's data stack include REST APIs, Spark for scalable data processing, and deploying products on-premise, in the cloud, or with microservices.
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A live demo shows how to implement stream processing, how to integrate machine learning, and how human operations can be enabled in addition to the automatic processing via a Web UI and push events.
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Syllabus
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Introduction to objective, scope and outcome the subject
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Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
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Business analytics course in hyderabad
- 1. Data Science using R, Minitab & XLMiner R, Minitab XLMiner forForecasting © 2013 - 2016 ExcelR Solutions.All Rights Reserved
- 2. AGENDA Data Visualization usingTableau Data Mining– Supervised & Unsupervised (Machine Learning) TextMining & NLP AGENDA © 2013 - 2016 ExcelR Solutions.All Rights Reserved
- 3. What does it take to be a DATA SCIENTIST? Successful Data Scientist AllAgenda Topics Domain Knowledge Practice Statistical Analysis Data Minin g Forecasting Data Visualizatio n © 2013 - 2016 ExcelR Solutions.All Rights Reserved
- 4. Welcome to the Information Age … … drowning in data and starving for Knowledge © 2013 - 2016 ExcelR Solutions.All Rights Reserved
- 5. BIG DATA! 500million tweetsevery day, 1.3billionaccounts YouTubeusersupload100hours ofvideoevery minute 306items arepurchasedevery second 26.6Million transactionsperday 100terabytes ofdatauploadeddaily http://www.dnaindia.com/scitech/report-facebook-saw- one- billion-simultaneous-users-on-aug-24-2119428 Processing100petabytes a day (1petabyte =1000 terabytes) Morethan1million customertransactionsevery hour https://www.techinasia.com/alibaba-crushes-records-brings-143-billion-singles-day © 2013 - 2016 ExcelR Solutions.All Rights Reserved
- 6. Why Tableau? © 2013 - 2016 ExcelR Solutions.All Rights Reserved
- 7. Why Tableau? © 2013 - 2016 ExcelR Solutions.All Rights Reserved
- 8. Why Tableau? © 2013 - 2016 ExcelR Solutions.All Rights Reserved
- 9. Why Tableau? © 2013 - 2016 ExcelR Solutions.All Rights Reserved
- 10. Data Types – Continuous & Discrete © 2013 - 2016 ExcelR Solutions.All Rights Reserved
- 11. Data Types – Preliminaries © 2013 - 2016 ExcelR Solutions.All Rights Reserved
- 12. Random Variable © 2013 - 2016 ExcelR Solutions.All Rights Reserved
- 13. Probability © 2013 - 2016 ExcelR Solutions.All Rights Reserved
- 14. Probability Distribution © 2013 - 2016 ExcelR Solutions.All Rights Reserved
- 15. Probability Applications © 2013 - 2016 ExcelR Solutions.All Rights Reserved
- 16. Population SamplingFrame SRS Sample © 2013 - 2016 ExcelR Solutions.All Rights Reserved Sampling Funnel
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