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Introduction To Data Science

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Published in: Computer Science | Python Programming
28,085 Views

The Increasing Trend In Data Science. 

Python A / Nagpur

year of teaching experience

Qualification:

Teaches: Adobe After Effects Certification, Adobe Certification, Adobe Premiere Pro Certification, Appium Certification, CCNA Certification, Certificate in Stock Markets, Cyber Security Certification, Data Analysis Certification, Dell Boomi Certification, DevOps Certification, IoT Certifications, Machine Learning, Microsoft Azure Certification, Microsoft Certification, MSBI Certification, MuleSoft Certification, Oracle Certification, Pega Certification, Power BI Certification, Salesforce Certification, SAP Certification, SAS Certifications, Six Sigma Certification Training, Sun Certification, WebMethods Certification, Big Data & Hadoop, Business Analytics, Data Structures, DBMS & RDBMS, MongoDB, Oracle RDBMS, Oracle Training, PL/SQL, R Programming, Tableau, .Net, C / C++, C# (C Sharp), Java And J2EE, Laravel, Perl Programming, Python Programming, Raspberry pi Programming, Shell Scripting, Visual Basic, Android Training, Angular JS, App Store Optimization, Arduino Programming, Artificial Intelligence, AWS Training, Blockchain, Data Mining, Data Science, Demandware Training Courses, Embedded Systems, Ethical Hacking, HACCP, Hardware Training, IBM Training, Informatica, Informix Training, IOS Training, Matlab, MCA Subjects, Networking, RHCE Training, Robotics, SaaS, Software Testing, Spring Training, Unix/Linux, Vmware, AJAX Training, Blog Programming, Bootstrap, Coldfusion, Digital Marketing, Drupal, Facebook Applications, Java Script, Joomla Training, JQuery, LAMP Pro Training, Magento Training, Node JS, PHP And MySQL, React JS, React Native Training, Ruby On Rails, Sugar CRM, Web CMS, Wordpress Training, Zend Framework

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  2. .200/0 WORLD Data Scientist Needs
  3. Why should you think career as Data Scientist? ' Data Scientist is the best job of the 21st century - Harvard Business Review Global Big Data market to reach $122B in revenue by 2025 — Frost & Sullivan The US alone could face a shortage of 1.4-1.9 million Big Data Analysts by 2019 — Mckinsey There is a serious shortage of Data Scientists and this is a major concern for Top MNCs around the world. All this means the major corporations are ready to pay top dollar salaries for professionals with the right Data Science skills.
  4. Data Professionls were asked for BEST SOURCE OF MEW DATA SCIENCE TALENT cocoo O Computer Science Students O Students in other Disciplines O Other O Professionals in fields other than l. T. or Computer Science O "Business Intelligence" Professionals
  5. Why Python
  6. What is Python? python python An all-purpose, general language that works on multiple platforms High level and easy to learn. More commonly used for machine learning and predictive modeling (particularly good for academics and data scientists) Open source and free to learn and use more commonly by developers.
  7. 30 10 Source: https://www.technotification.com/2018/04/python- best-programming-language-2018.htmI
  8. Why Is Python So Popular? Java public class Main { public static void main(String[] args) { System.out.println("hello world"); } } Python print('hello world') Minimal setup is another of Python's perks.
  9. Why Is Python So Popular? The language continued to rank highly on various lists of the world's most popular programming languages. Many programmers view Python as a language with a clean syntax and an expansive library. Python's massive user base has created something of a positive feedback loop ' In Python's case, it's Google, which uses the programming language in a number of applications (a corporate sponsor).
  10. 01 03 04 Readability Python's syntax is very well thought out. Unlike many scripting languages (e.g. Perl). readability was a primary consideration when Python's syntax was designed. Balance of High Level and Low Level Programming Language Interoperability As a side affect of its universality, Python excels at gluing other languages together. Documentation System ly into
  11. 06 07 08 Hierarchical Module System Python uses modular programnning. a popular system that naturally organizes functions and classes into hierarchical namespaces. Data Structures data st v u Ictutæ:s for yout- alE(31fithtn. Available Libraries Python has an impressive standard library packaged with Python. Testing Framework Python provides a test inv fastest inc I ! Adine• t involve 01 0 0110 0001 01101 010 101 001
  12. What do businesses use python for? Building "data pipelines": •New data is coming in all the time 'Needs to be extracted, transformed and loaded •Needs to be fast Descriptive Analytics These skills are in demand. Businesses want to know about their historical data. ' They also want to know what is happening right now. New marketing opportunities? Save time and money in current processes? Machine learning and data science? Can our customers be divided into clusters? Can we predict what a customer is likely to buy and make recommendations? Can we detect fraud? Can we predict risk?
  13. Working as an analyst/scientist You may be familiar with some tools already, depending where you've come from: Excel and Office tools spss, MATLAB SQL BI and analytics are a bit of a continuous process: ' Cleaning data —missing values? Bad data? ' Reshape data —is the data in the right format? ' Loading —how much is there? ' Find patterns —do these patterns add value? ' Presentation —can you tell a story?
  14. Working as an analyst/scientist sas Proprietary OpenSource MAI puthon

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