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Data Analytics for Business Analysts

Course Reference No: CRS-N-0047039

Course Objectives
This programme is designed for IT business analysts to, eventually, become data science consultants and provides the participants with a foundation in:

    • Overview of data science techniques, process and technology
    • Data science consulting skills
    • Connecting business problem to data science
    • Understand critical success factors of data science projects
    • Managing analytics projects (both innovation cycle and deployment cycle)
    • Extracting, cleaning and transforming raw data into analytics-ready data

At the end of the programme, you will be able to:
• Understand data science capabilities and its limitations;
• Implement and manage the data science process for innovation and deployment cycles;
• Advise and deliver high quality data analytics projects.

Outline
Day 1:

Module 1: Advancing Data Analytics in the Organisation
    • The big picture - big data and data analytics
    • Overview of machine learning, data science, artificial intelligence and deep learning
    • Discussion of analytics use cases

Module 2: Analytics Project Life Cycle
Overview of Analytics Project Life Cycle management
    • Introduction to Analytics Project Life Cycle (APLC)
    • Understanding Various stakeholders Roles (BAF, DS, Vendor, data owners) within APLC
    • Pain and problem when dealing with data analytic projects         
    • Visualization Workshop: Visualization for data exploration 

Day 2:

Module 3: Managing Data Analytics Project
Part 1: Managing Quality, Sustainability, Reliability and Timeliness of Data Analytics Projects through APLC
    (a) Managing Quality and Reliability of Data Analytics Project
        • Where is the data?
        • What is going with the data in each phase?
        • What are the questions you would need to ask when managing vendor who perform analytic            services?
    (b) From Prototype (usability) to Deployment (Scalability) to Maintenance (Sustainability)
         • What are the key considerations beyond prototype?
            i. Data Staging
            ii. Data Transformation and results
            iii. Computation and results
            iv. Results accuracy
            v. Visualization requirement

Module 4: Analytics Workshop (Text Analytics)
    • Concept
    • Procedure
        i. Preparation (Text to Words)
        ii. Visualization
        iii. Indexing
        iv. Topic Clustering
    • Hands on practice

Tools
Python, Tableau

Pre-requisites
Participants should have 2 years of experience in the IT business analyst role.

Who Should Attend
IT Business Analyst

Mode of Training
Classroom

Data Analytics Begins With Me

Date

15 -16 Aug 2019

Duration

2 Days
9.00am to 5.30pm
(Daily)

Venue

National University of Singapore
University Town

International Participants




S$ 1712.00

  • Incl. GST

Singapore Citizens
(39 yrs old or younger) 
or Singapore PRs


S$ 513.60

  • Incl. GST

Singapore Citizens
(40 yrs or older)




S$ 193.60

  • Incl. GST

Enhanced Training Support for SMEs




S$ 193.60

  • Incl. GST

Fees & Fundings

International 
Participant

Singapore Citizen1
39 years old or younger
Singapore Citizen1
40 years or older eligible for MCES2
Singapore
Citizen1 eligible
for WTS3
Singapore PRs 

Enhanced Training
Support for SMEs4
Full Programme FeeS$1,600.00S$1,600.00S$1,600.00S$1,600.00S$1,600.00S$1,600.00
SkillsFuture Funding
Eligible for Claim Period
(25 May 2018 - 30 Sep 2020)
-(S$1,120.00)(S$1,120.00)(S$1,120.00)(S$1,120.00)(S$1,120.00)
Nett Programme FeeS$1,600.00S$480.00S$480.00S$480.00S$480.00S$480.00
7% GST on Nett
Programme Fee
S$112.00S$33.60 S$33.60S$33.60S$33.60 S$33.60 
Total Nett Programme
Fee Payable, Incl. GST
S$1,712.00S$513.60S$513.60S$513.60S$513.60S$513.60
Less Additional Funding if
Eligible Under Various Scheme
--(S$320.00)(S$400.00) -(S$320.00)
Total Nett Programme Fee, Incl. GST,
after additional funding from the various funding schemes
S$1,712.00S$513.60S$193.60S$113.60S$513.60S$193.60

1 All self-sponsored Singaporeans aged 25 and above can use their $500 SkillsFuture Credit to pay for the programme. Visit http://www.skillsfuture.sg/credit to select the programme.
2 Mid-Career Enhanced Subsidy (MCES) - Singaporeans aged 40 and above may enjoy subsidies up to 90% of the programme fee.
3 Workfare Training Support (WTS) - Singaporeans aged 35 and above (13 years and above for persons With disabilities) and earn not more than S$2,000 per month, may enjoy subsidies up to 95% of the programme fee.
4 Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. For more information, visit http://www.ssg.gov.sg/programmes-and-initiatives/training/enhanced-training-support-for-smes.html?_ga=2.154478072.1748789781.1519700056-512306731.1519700056
5 Eligible organisations (excluding government entities) may apply for the absentee payroll funding via SkillsConnect at www.skillsconnect.gov.sg for Singaporean/permanent resident participants attending the programme during working hours. The absentee payroll funding is computed at 80% of hourly basic salary capped at $4.50 per hour or $7.50 per hour for SME or 95% of hourly basic salary for WTS. For more information, visit https://www.skillsconnect.gov.sg/sop/portal/e-Services/For%20Employers/AbsenteePayroll.jsp

NTUC members enjoy 50% of the unfunded programme fee support for up to $250 each year for programmes supported under UTAP (Union Training Assistance Programme). Terms and Conditions apply. Please visit http://skillsupgrade.ntuc.org.sg

Ver: 88310519

Registration will close 5 working days prior to programme commencement date 

NUS School of Continuing and Lifelong Education

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