Text Mining, Nlp Using Python & R - 360DigiTMG
  •   + 603 2092 9488
  •   [email protected]
  •   INNODATATICS SDN BHD (1265527-M) Level 16, 1 Sentral, Jalan Stesen Sentral 5, KL Sentral, Kuala Lumpur, Malaysia.
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COURSE OBJECTIVE

Text Mining, Natural Language Processing (NLP) using Python and R, which is for 2 days, is designed to give you in-depth knowledge on handling unstructured textual data.
Unstructured data constitutes to about 80% of the overall data being generated and majority of that is textual in format. Understanding on how to extract the data from web, social media and other forums and how to analyse this unstructured textual data is pivotal to the success of various organizations. Performing sentiment analysis and opinion mining of the various products, individuals, organizations, etc., is at the heart of text mining and natural language processing.

Learning Outcomes

  • Be able to extract the data from variety of websites and social media
  • Be able to conduct meaningful surveys and experiments for data collection
  • Be able to perform analysis of unstructured textual data
  • Be able to perform word clouds and clustering on unstructured data
  • Be able to perform sentiment analysis, opinion mining and emotion mining
  • Be able to write programs in Python and R to perform text mining and natural language processing

WHO SHOULD ATTEND

  • Candidates aspiring to be Data Analysts, Data Engineers, Data Scientists
  • Analytics Managers / Professionals, Business Analysts, Software Developers
  • Candidates aspiring to get an overall understanding of “Data Analytics”
  • Professionals who are looking to get understanding on Data Extraction, Data Collection, Data Analysis
  • Employees of organizations, who are planning to shift to Data Analysis
  • Finally – Students who are aiming to get an understanding to embark on the journey of Data Analytics

Enquire now

Duration 16 Hours
ELIGIBILITY: Computer skills &
basic maths knowledge
Software Tool
COURSE FEE: $2500
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  • Methodology

    • Lecture with a blend of theoretical & practical exposure
    • Case study driven approach to reiterate the learning
    • Quizzes and group activities to test the understanding
    • Group discussions to trigger cross industry understanding of various participants
    • Opportunity to engage and explore the live-projects in text analytics for the interested participants
  • Modules

    • Day 1
      Session 1:
      • Anatomy of a business of Analytics; Types of Descriptive Analytics
      • Processing and Transforming Data
      • Measurement Basics
      • Types of data; Sources of Data
      • Measuring complex mental objects
      Session 2:
      • A Framework for Problem Formulation
      • Measuring complex mental objects
      • Understand Decision Problem, Research Objective, Aspects, Constructs
      • Basic Structure of Survey Research
      • A Questionnaire Illustrated
      Session 3:
      • Web scraping with rvest
      • Basic Data Collection from APIs
      • Basic Web Extraction using Python
      Session 4:
      • Data Collection for Machine Learning Algorithms
      • A Typology for ML Algorithms
      • Data Collection for Experiments
      • A Primer on Business Experiments
      • Measuring Intangibles with Experiments
      Session 5:
      • Spatial Analytics
      • Google maps API
      • Workflow Dissemination – Markdowns
    • Day 2
      Session 6:
      • Introduction to Text Analysis
      • Tokenization procedures
      • Simple Bag-of-words (BOW) representation
      • Term-Document Matrix (TDM) structures
      Session 7:
      • Sentiment Analysis
      • Sentiment scoring schemes
      • Tidytext introduction
      • Clustering BOW structures
      • Linear Algebra primer
      Session 8:
      • Vector Space Modelling
      • Latent semantic analysis
      • GloVe and linguistic regularities
      • Latent Dirichlet Allocations (LDA) and Topic modeling
      Session 9:
      • Word and sentence annotations
      • Parts of Speech (POS) tagging, chunking
      • Named Entity Recognition (NER)
      Session 10:
      • Text Classification
      • What and why
      • Elementary text classifiers
  • Use case driven & industry specific curriculum with Expert trainers
  • Additional assignments covering over 30 - 40 hours
  • Access to Free webinars and latest industry updates
  • 3 mock interviews to test your readiness to attend the interviews
  • Work on (1) Live Project through INNODATATICS, USA
  • 3 months Learning Management System (LMS) access to recorded videos, assignments, case studies related to your industry, algorithms & course materials
  • 24/7 Interaction with our trainer pool through forums & WhatsApp groups
  • bharani

    BHARANI KUMAR DEPURU

    An alumnus of IIT Hyderabad & Indian School of Business with 13+ years of professional experience. Professional Certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, AgilePM (DSDM Atern). Trained 2500+ professional across 8 countries. Thorough implementer with abilities in Data Analytics, Process Management, Quality Management, etc. Trained for multinational corporates across the globe including HPE, Computer Science Corporation, Akamai, IBS Software, Litmus7, Personiv, Ebreeze, Alshaya, Synchrony Financials, Deloitte, etc.

  • malaysia testimonial

    BHARGAVI KANDUKURI

    An Electronics and Communications Engineering graduate with over 13 years of Industry experience. Senior Tableau Developer: Involved in various solutions development in Analytics space in Retail, Clinical, Manufacturing domains, etc. 3 years of extensive experience in training. Trained over 750+ professionals across globe. A thorough implementer with abilities in Business Analytics, Quality Management. Worked with Infosys Technologies, iGate, Patni Global Solutions as Technology Analyst. Areas of expertise include Data Visualization with Tableau; COBOL, CICS, DB2 and JCL.

  • nithin mishra

    DR. NITIN MISHRA

    As a PhD, has trained umpteen number of students from prestigious colleges & professionals from fortune 500 companies. 15 plus years of rich industry experience in space of Data Science & Business Intelligence (this includes BI tools such as Cognos, Tableau, Big Data, NoSQL, NewSQL, Machine Learning, Artificial Intelligence). Trained corporate clients in various tier-1 companies including Time Inc., Hewlett Packard Enterprise, Dell, Metric Fox (Part of Champions Group). Training & Consulting has been at the helm of the industrial experience accrued over a period of 15+ years. Providing Energy Risk Professional consulting services to various Energy & Resources clients across the globe.

There are many ways to learnHow to Learn

  • 1 document icon

    Classroom Training

    Sessions by experienced, hand-picked experts from our partner concern Innodatatics Inc., IT & Analytics Solution Providers. This unbeatable combination of an industry-oriented curriculum coupled with real-world training ensures that our participants are ready to perform from the word go!

  • 2 registration icon

    e-Learning & Assignments

    Simplest and easiest way to keep track of your learning process. This is 2nd stage of training by providing an amalgam of Classroom, Self-Paced Learning, Simulation Tests and other Innovative Methods. This combination of online and in-person classes makes for a flexible learning environment.

  • 3

    Online Training

    Upon course completion, our students get to intern at our partner concern – Innodatatics. Here they get to work on real-life projects involving real-life data used by companies. This work experience tests the participants in their subject and can empower them with job-ready skills.

Testimonial
Mohammad

360DigiTMG mengajar saya asas mengenai 'big data' mengunakan hadoop dan spark. Mudah difahami walaupun saya tidak mempunyai asas 'programming'. Tenaga pengajar, Encik Sharat memberi 'real case study' dan analogi yang berkaitan bisnes sebenar. Program ini amat sesuai bagi yang keliru dan ingin mengenal mengenai 'big data' dan teori Hadoop dan Spark. 4.5 daripada 5 bintang.

Mohd Firdaus Abd Wahab
Assistant Professor - International Islamic University Malaysia (IIUM)

It was a very good crash course on Machine Learning using R. The instructor Mr. Bharani Kumar made the whole experience fantastic and engaging. The overall coverage of the course was very refreshing and clear. The machine learning training was particularly interesting only because the instructor made a clear connection between the fundamentals and the applications of the content. Would love to have more of SVM, perhaps good to have the overall mind-map prior to class, so we can focus better.

Wan Wardatul Amani Wan Salim (Ph.D, Biomedical engineering)
Academician -International Islamic University Malaysia (IIUM)

The basic simple explanation of all of the concepts was a good refresher to stats. Live examples and strong ties between the practicals and theory by expert and experienced trainer in this Field. The workshop was interesting and engaging. The instructor has (trust) Machine Learning in a nutshell.

Ranjith Poovanna D.C
Automation Review Specialist

Almost all topics from regression models to various kinds of algorithms and interesting facts - real examples. Very knowledgable and clear, Bharani is down to the earth and guided us in all possible ways. Wish had more sessions with Bharani.

Muhammad Hafiz fazren
Master in Biotechnology, - International Islamic University Malaysia (IIUM)

Machine Learning and its application across various industries and lectures are easily understandable. Provided more in-depth on the algorithm used in all case studies.

Chow Kai Sin
4.5 out of 5 marks for all the programs I attended !

I have enrolled for Executive Diploma in Big Data & Analytics and Tableau programs in 360DigiTMG. The trainers are experienced and provided us essential and useful study materials. I have completed all the assignments and committed to Tableau Certify Exam soon. All trainers are patience and always give us "a real case" to practice. These programs / courses are really useful and material, it is suitable and good for all. Students would learn well about Digital Transformation Theory/ Big Data and Data Visualization. Through the practice or project, you could get a better understanding about the Future Digital World.

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