Subscribe e-Newsletter
    Member Login
    Course Catalog
    Email
    Pass
    Forget password? Click here
    Classroom/ Online: Yes/ Yes
    Scheduling Date(s):
    Note: Please click specific date for detailed venue and course fee etc.
    Big data and Machine learning
    This workshop is designed for all professionals who are focused on managing the data in today’s corporate landscape.
    Objective
    The participants of this workshop will learn about managing humungous data sets and complexities with respect to various forms of data and how to manage it. Multiple examples of how Big Data is being used in real-world will be given during the session. Participants will be able to understand the application of Big Data tools and concepts across various industries so that they can consider the examples provided in class and the solution approaches for implemention at their workplace.
    Outline
    Understanding Big Data
    1. In-depth understanding of Big Data concepts
    2. Use and applicability of Big Data in current world
    3. Examples of Big Data
    4. Application to Business Management


    Variants of Big Data
    1. Learning about types of Big Data
    2. Characteristics of Big Data
    3. Downsides of Big Data
    4. Concept of IoT


    Learning about various Big Data tools and their features
    1. Details of Big Data Tools and its applications in real business scenarios
    2. Learning Big Data Tools Architecture and Ecosystem
    3. Learning about most commonly used Big Data Tools


    Singapore’s experience in utilizing Big Data – How Singapore pioneers in the application of Big Data and analytics
    1. Use of practical examples to showcase Singapore’s expertise and relevance to real world
    2. Using Big Data and Analytics to solve Business Problems


    Concepts of machine learning
    1. Types of machine learning
    2. Application in real world
    3. Various techniques used in machine learning
    4. Hands on training practice sessions
    5. Quiz and practical application of techniques
    Who should attend
    The training is ideal all professionals who deal with large volume of data and have access to large data set in their respective organizations and need tools and technologies to further enhance their efficiency and productivity in managing data and drawing insights from data.
    Methodology
    Our expert trainer will work with the participants to help them understand how the data can be streamlined and used in a meaningful manner to derive further insights and decision making for the growth of both Small and Medium Enterprises (SMEs) and Large Enterprises.
    Profile of Divya Arora Hans
    Divya is an expert Speaker and Trainer with more than decade experience in field of Management Reporting, Data Analytics, Business Intelligence and Change Management. She has excellence in her oration and has been responsible for training Corporates, Self employed, Individuals and stakeholders in areas of Advanced MS Excel, Mastering Power Point, Data Analytics, Delivering Impactful Presentations, Data visualizations, Advanced business communications, Wow your audience and many Soft Skills Trainings

    Her Span of Experience has been to varied CXO’s, Department Heads and leadership teams across Finance, Accounting, Insurance, Engineering, Healthcare and FMCG industries

    Her experience has been with ACCA Singapore, NTU, Delphi Technologies and multiple Retail trainings in Singapore

    Her core skills are trainings in areas of MS Office, Power BI, Project Management, Business Intelligence, Business Communication Skills, Stakeholder Management, Team management/leadership, Process Transitions, Process excellence, Continuous Improvement and Change Management. She has varied experience working with big giants like Glaxo Smith Kline, ABN AMRO Bank and Max Life Insurance joint venture with MITSUI SUMITOMO and various training institutes in India and Singapore.

    She has been a key contributor to Quality and service excellence and is a certified Green Belt Six sigma professional.
    Privacy Policy  |  Terms of Use
    Copyright © 2024 CCISG Pte Ltd  |  ACRA Reg No: 201207591D  |  GST Reg No: 201207591D