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Data and Text Mining with Orange

All data science begins with good data. Data mining is a framework for collecting, searching, and filtering raw data in a systematic matter, ensuring you have clean data from the start. It also helps you parse large data sets, and get at the most meaningful, useful information. Orange is the latest and newest open source machine learning and data visualization tool for novice and expert. It has an intuitive and Interactive data analysis interface that make data and text mining fun and easy to use.

The topics inlcude 

  • Prerequisites for data mining
  • Data mining
  • Data reduction
  • Data clustering
  • Anomaly detection
  • Association analysis
  • Regression analysis
  • Sequence mining
  • Text mining

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M547

Course Booking


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Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

Course Details

Module 1 Prerequisite of Data and Text Mining

  • Overview of Data Mining
  • Overview of Text Mining
  • Install Orange

Module 2: Data Manipulation

  • Import/Export Data
  • Select Data
  • Missing Data
  • Joining Data
  • Data Reduction
  • Visualize Data

Module 3: Clustering

  • What is Clustering
  • Clustering Algorithms
  • Clustering with Orange

Module 4: Classification

  • What is Classification
  • Classification Algorithms
  • Classification with Orange
  • Image Classification

Module 5: Anomaly Detection

  • What is Anomaly Detection
  • Anomaly Detection Methodology
  • Anomlay Detection with Orange
  • Time Series Anomaly

Module 6: Association Analysis

  • What is Association Analysis
  • Association Analysis Methodology
  • Association Analysis with Orange

Module 7: Regression Analysis

  • What is Regression
  • Regression Algorithm
  • Regression with Orange

Module 8: Sequential Pattern Analysis

  • What is Sequential Pattern Analysis
  • Sequential Pattern Analysis with Orange
  • Time Series Analysis

Module 9: Text Mining

  • What is Text Mining
  • Text Mining Algorithms
  • Text Mining with Orange

Who Should Attend

  • Python programmers that want to learn networking
  • Network engineers using Python




Data Science TrainerDr. Aanand is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.

He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learning (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.

He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post graduate in Physics from University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.

Machine Learning TrainerAmir Othman is a software engineer by profession. Being educated in Bauhaus Universität Weimar and Hochschule Ulm, he brings experiences from different facades of the world.

With expertise in web technology, natural language processing and machine learning, he is a freelance data scientist. Some of his works include two international news aggregator and

He also holds an impressive port folio for data visualizations, primarily focusing on web based techniques.

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