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Data Science for Non-Coders

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Learn the Data Science Using KNIME by Drag and Drop Tool and be a Data Scientist. Data Science and Machine Learning is now effortless for Anyone & People from Non-Technical Background can also learn it.
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  • Philippines+63
  • Poland (Polska)+48
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  • Puerto Rico+1
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  • Rwanda+250
  • Saint Barthélemy+590
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  • Saint Kitts and Nevis+1
  • Saint Lucia+1
  • Saint Martin (Saint-Martin (partie française))+590
  • Saint Pierre and Miquelon (Saint-Pierre-et-Miquelon)+508
  • Saint Vincent and the Grenadines+1
  • Samoa+685
  • San Marino+378
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  • Serbia (Србија)+381
  • Seychelles+248
  • Sierra Leone+232
  • Singapore+65
  • Sint Maarten+1
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  • Slovenia (Slovenija)+386
  • Solomon Islands+677
  • Somalia (Soomaaliya)+252
  • South Africa+27
  • South Korea (대한민국)+82
  • South Sudan (‫جنوب السودان‬‎)+211
  • Spain (España)+34
  • Sri Lanka (ශ්‍රී ලංකාව)+94
  • Sudan (‫السودان‬‎)+249
  • Suriname+597
  • Svalbard and Jan Mayen+47
  • Sweden (Sverige)+46
  • Switzerland (Schweiz)+41
  • Syria (‫سوريا‬‎)+963
  • Taiwan (台灣)+886
  • Tajikistan+992
  • Tanzania+255
  • Thailand (ไทย)+66
  • Timor-Leste+670
  • Togo+228
  • Tokelau+690
  • Tonga+676
  • Trinidad and Tobago+1
  • Tunisia (‫تونس‬‎)+216
  • Turkey (Türkiye)+90
  • Turkmenistan+993
  • Turks and Caicos Islands+1
  • Tuvalu+688
  • U.S. Virgin Islands+1
  • Uganda+256
  • Ukraine (Україна)+380
  • United Arab Emirates (‫الإمارات العربية المتحدة‬‎)+971
  • United Kingdom+44
  • United States+1
  • Uruguay+598
  • Uzbekistan (Oʻzbekiston)+998
  • Vanuatu+678
  • Vatican City (Città del Vaticano)+39
  • Venezuela+58
  • Vietnam (Việt Nam)+84
  • Wallis and Futuna (Wallis-et-Futuna)+681
  • Western Sahara (‫الصحراء الغربية‬‎)+212
  • Yemen (‫اليمن‬‎)+967
  • Zambia+260
  • Zimbabwe+263
  • Åland Islands+358
 In this Self-Paced KNIME course you will explore how to get into Data Science with a non-technical background. You would be practicing on handy tools such as KNIME and others obviated by programming to work on advance models of Machine Learning & Data Science. This complete course will help you master all three elements of Data Science – Statistics, Tools, and Business Knowledge. We’ll be covering the complete process of Data Science from Data Integration, Data Manipulation, Descriptive Analytics and Visualization to Statistical Analysis, using drag & drop tools and Machine Learning models, using Predictive Modelling, Regression Algorithms & Linear Regression. 

By the end of this KNIME online course, you will have enough knowledge and hands-on expertise in different tools of Data Science to use and apply them in the real world around you. 

  • Data Integration
  • Data Manipulation
  • Descriptive Analytics
  • Visualization
  • Statistical Analysis
  • Predictive Modelling
  • Regression Algorithms
  • Linear Regression

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Which Tools and Skills will You Learn in the Program?

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