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Da Series 4: Data Analytics With Statistical Methods For Businesses

SIM Professional Development (SIM PD) is the leading provider for adult learning, training and development for corporate and career development. We provide a wide range of quality executive programmes, corporate training, seminar and workshops in areas of soft skills training, leadership training, sales training, management training, personal effectiveness & productivity, project management training, strategy execution and forumation.

da series 4: data analytics with statistical methods for businesses

Introduction

This programme provides an understanding of the principles of statistical methods and how these methods can be applied to support business decision making.

Prerequisite

The learners of this programme are expected to have prior knowledge in:

  • Basic knowledge of programming and/or scripting principles (e.g. using variables, logical operators, if ... then control, loops, ...)

  • Intermediate knowledge of data concepts (e.g. equivalent of intermediate to advanced knowledge of using spreadsheets)

Benefits to You

Business Outcomes
Participants will gain an in-depth understanding f statistical methods and its applications to their organisations’ problem statements with the objective of improving decisions through data.

Learning Outcomes

Upon completion of this module, the learner will be able to:

    o explain Statistical Methods in relation to Data Analytics and Data Mining

    o distinguish the characteristics of distributions and sampling methods

    o use Excel to perform examples of estimation,confidence intervals, hypothesis testing, regression analysis and correlation analysis

    Programme Outline

    o Population and Sample

    o Discrete and Continuous Distribution

    o Sampling Techniques

    o Confidence Interval

    o Hypothesis Testing

    o Correlation Analysis

    o Regression

    As part of the training and learning during this programme, photography and/or video recording of participants in action will be done.

    Who Must Attend

    (Level 2) Supervisors, Executive, & Emerging Managers     
    (Level 3) New Managers     
    (Level 4) Managers
    (Level 5) Senior Managers & Directors

    Programme Leader

    Koh Cheo Leng started her career in Information Technology evaluating, implementing and supporting IT and productivity related platforms and solutions for MNCs and large corporations.  She then progressed into application solution consulting. For the last 18 years, she has focused on business intelligence, business warehouse and analytics projects and engagements in both end-users’ environments as well as in consulting capacities.

    Cheo Leng has business intelligence, business warehouse and analytics experience in diverse industries of consumer products, education, aerospace and defence, energy and utilities, manufacturing and healthcare. This is either by way of a subject matter expert leading the in-house team or as a consultant working hand-in-hand with clients to implement analytics platforms and solutions.

    She has deep knowledge in IT landscapes and ecosystems with first-hand experiences in setting up the entire ecosystems for business intelligence/analytics in companies. The end-to-end ecosystems covers the ingestion layers, data stores (data mart/warehouse/data lake), virtualization layers and the visualization tools/platforms.

    Registration
     SIM Member Fee  (S$)Non-member Fee  (S$)
      Total Fee (S$)   Total Fee (S$) 
    Fee/Pax (S$)GST (S$) including GSTFee/Pax (S$)GST (S$) including GST
    Normal Fees1,050.0073.501,123.501,200.0084.001,284.00
    Early Bird Fees10% DISCOUNT OFF THE FEES ABOVE
    - terms & conditions applies; please call to enquire.
           
    Early Bird Fees closing date for the programme :    
    Prog Scheduled DateRegister & Pay by
    January 10, 202006/12/2019

    Enquiries : Grace Tan - 62489414 | 62466746, gracetan@sim.edu.sg

    Foreign participants sponsored by their companies, GST is not applicable. If payment is made by a Singapore-registered company, GST will apply.

    Non-members are welcome to sign up for SIM membership to enjoy the discounted rate. To sign up for SIM Membership, please visit www.pd.sim.edu.sg/membership/overview, email membership@sim.edu.sg or call 6248 9489. To register for the programmes now, select the preferred programme run-dates below through the register icon. "Register", which will bring you to the registration page.

    DateTimeVenueRegistration Closing Date 
    10/01/2020 - 10/01/202009.00 am - 5.00 pmSIM Management House, 41 Namly Avenue, Singapore 267616Dec 27, 2019 Register