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Data Wrangling and Preparation with Programming

Part of the ModularMaster in Data Science (Programming Track) programme

In computer science particularly, you may have heard of the phrase "Garbage in, garbage out"; and that's true for data analysis, the importance of having quality and the right data format is critical to any data science project. Data wrangling is the function of transforming raw data into data that is usable down the data science process.

This course is designed to introduce the general concepts of Data Science with a focus on Data Wrangling for participants who prefer a programming approach. By the end of this course, participants will be able to wrangle data and prepare the dataset ready for Machine Learning Model.

Plan your learning path
Participants earn 12 subject credits which can be used to attain the ModularMaster in Data Science.

Course Details

Course Dates:
No dates available currently.

Duration
5 days
9.00AM – 5.00PM

Venue
TBA

 

Who Should Attend

  • Participants in roles which require hands-on preparation of data with programming
  • Aspiring data/business analysts or data scientists looking to acquire skills in the data preparation and wrangling component
  • Ideal for participants who are in or looking to acquire skills for roles such as entry-level Data Engineers/Data Analysts

Prerequisites

Programme Outline

Learning Objectives and Structure
  1. Perform the basic ML model component for the role of a junior data scientist
  2. Understand the types of data and databases in the business context
  3. Appreciate the use of data dictionary and harness the potential of metadata for data science
  4. Acquire organizational dataset from data lakes and other democratized data sources for data enrichment purposes
  5. Structure data into an appropriate form for data analysis
  6. Manipulate data structures to support data-wrangling phase
  7. Perform data wrangling on the acquired dataset
  8. Impute concerning dataset to address quality issues and support machine learning phase
  9. Address data quality issues with appropriate data cleansing technique
  10. Iterate the data mining process progressively with the provision of data wrangling and exploratory analysis tools

Programme Structure: Participants will go through 4 days of training. Class will reconvene on the 5th day for a presentation as part of the course assessment.

Day 1
  • Overview of Data Preparation
  • Data Science pipeline
  • Data Preparation and Data Wrangling
  • Data Acquisition
  • Understand how data scientist prepares the dataset for machine learning model consumotion
  • Data Surfing and Data Discovery
  • Types of data and databases
  • Data Dictionary and Metadata
  • Data Models
Day 2
  • Data Mining and CRISP-DM
  • Common Computing Infrastructure
  • Interactive Data Exploratory Analysis (IDEA)
  • Basics of Descriptive Statistics
Day 3
  • Breakdown of Data Preparation Phases
  • Dataset Structuring: Data Frame Handling
  • Data Cleaning
Day 4
  • Data Enrichment and alternative sources
  • Data Enrichment: Data Aggregation
  • Data Enrichment: Data Standardisation
Day 5
  • Project Presentation
Assessment

Participants will be assessed via group based project presentation on the 5th session of the course. There will also be formative assessment and case studies to assess a participant's understanding and competency.

Subject Credits

Upon completion and satisfying the requirements of passing this course, learners will be awarded 12 subject credits.

ModularMaster in Data Science

Two Tracks
We have designed two tracks to suit participants with different learning preferences. Participants who prefer to make use of programming can go for the modules under the Programming Track while participants who prefer to make use of readily available tools can embark on modules under the Non-Programming Track.

Course Fees and Funding

SkillsFuture Course Fee Subsidy
(70%)

Fee after subsidy
$1,350.00


GST on Fee after SSG Course Fee Subsidy
$94.50


You pay
$1,444.50

Mid-career Enhanced Subsidy (MCES) (90%)

Fee after subsidy
$450.00


GST on Fee after SSG Course Fee Subsidy
$94.50


You pay
$544.50

Enhanced Training Support for SMEs (ETSS) (90%)

Fee after subsidy
$450


GST on Fee after SSG Course Fee Subsidy
$94.50


You pay
$544.50

Workfare Training Support (WTS)
(95%)

Fee after subsidy
$225.00


GST on Fee after SSG Course Fee Subsidy
$94.50


You pay
$319.50

Full Course Fee (without subsidies): $4,815 (inclusive of prevailing GST)

Instructor

Johnson Ang
Instructor, SUTD Academy

Johnson Ang has a Masters in IT Analytics from SMU and is certified and a member of CQF, ACTA and CEH. He previously work as a Data Scientist with MND and was an ex-affiliate University lecturer for Cardiff Metropolitan UK University and ex-lecturer with EASB in 2018 and was also Corporate and Open-Run trainer for 2 years.

His experience spans more than 10 years of working experience, of which 4 years of experience in the Banking Wide Operations and has been particularly involved in IT Analytics banking projects within the Risk Management and Financial Instrument sphere, and 4 years in the Real Estate, FMCG, Construction and Education Sector. He is familiar with typical banking software and acquainted with popular tools such as SAS, JMP, Oracle, VBA, Access, Python, R, Tableau, Weka, C and Java. He also has working knowledge in the area of Data Science, Analytics, Machine Learning and Deep Learning.

 

SSG Funding Terms and Conditions

Use of Personal Details

In consideration of the subsidy provided by SkillsFuture Singapore Agency (“SSG”) through the SUTD Academy for the Course,
 

I consent to:

The collection, use and disclosure to relevant third parties of my personal data by the SUTD Academy including but not limited to personal particulars, attendance records, assessment/performance records, for the following purposes:

  1. Reporting of national statistics and conducting of holistic continuing education training research and analysis;

  2. Facilitate the conduct of the relevant surveys and audits in relation to the Course;

  3. General administration of the Course including but not limited to processing of the subsidy provided by SSG;

  4. Publicity and marketing of the Course or other Courses to be provided by SSG or SUTD Academy; and

  5. SSG or its Appointed Auditors or Nominated Representatives to directly contact Course Participant to obtain information deemed necessary for the purposes of conducting effectiveness survey or audits in relation to the Course.
     

I agree to:

  1. Attend and complete all lectures, class exercises, workshops and assessments;

  2. Complete the Course feedback at the end of the Course;

  3. Complete the post Course survey sent about 3 to 6 months after class attendance; and

  4. Sign up for a personal email account.

SUTD Privacy Statement

For more information on SUTD's privacy statement, please visit https://sutd.edu.sg/Privacy-Statement.

SUTD Terms and Conditions

Methods of Payment

Learn more about the available payment modes.

Cancellation & Refund Policy

  1. If a written notification is sent to sutd_academy@sutd.edu.sg within 24 hours after course registration deadline there will be no cancellation charges. A full refund will be made. 

  2. No refund is provided if written notification is more than 24 hours after course registration deadline. SUTD Academy reserves the rights to collect the full fee amount from the participant.

Replacement Policy

Companies may replace participants who have signed up for the course by giving a 3-working day notice before the course commencement date to sutd_academy@sutd.edu.sg. Terms and conditions apply.

Registration Policy

  1. Course may be cancelled due to insufficient participants. SUTD Academy will not be responsible or liable in any way for any claims, damages, losses, expenses, costs or liabilities whatsoever (including, without limitation, any direct or indirect damages for loss of profits, business interruption or loss of information) resulting or arising directly or indirectly from any course cancellation.

  2. Course enrolment is based on a first-come, first-served basis.

  3. SUTD Academy reserves the right to change or cancel any course or instructor due to unforeseen circumstances. 

Types of Funding

Funding under Mid-Career Enhanced Subsidy ("MCES")

  1. MCES is an enhanced Subsidy to encourage mid-career individuals to upskill and reskill, thereby helping them to remain competitive and resilient in the job market. With this, all Singaporeans aged 40 and above will receive higher subsidies of up to 90% course fee subsidy for SSG-funded certifiable courses.

  2. Individuals/employers are not required to submit an application for the MCES. Those pursuing SSG-funded programmes will be charged the appropriate subsidised fees by SUTD Academy if they are eligible MCES. Individuals/employers will only need to pay the nett fee (full course fee after SSG's grant).

    For more info, please visit  SkillsFuture website at http://www.skillsfuture.sg/enhancedsubsidy

Funding under Enhanced Training Support for SMEs ("ETSS")

  1. ETSS is an enhanced funding to enable SMEs to send their employees for training.

  2. SMEs will enjoy subsidies of up to 90% of the course fees when they sponsor their employees for SSG-funded certifiable courses.

  3. In addition to higher course fee funding, SMEs can also claim absentee payroll funding of 80% of basic hourly salary at a higher cap of $7.50 per hour. SMEs may apply for the absentee payroll via the SkillsConnect system.

  4. To qualify, SMEs must meet all of the following criteria:
    - Organisation must be registered or incorporated in Singapore
    - At least 30% local shareholding by Singapore Citizens or Singapore Permanent Residents
    - Employment size of not more than 200 (at group level) or with annual sales turnover (at group level) of not more than $100 million
    - Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
    - Trainees must be Singapore Citizens or Singapore Permanent Residents

    For more info, please visit SSG website at http://www.ssg.gov.sg/programmes-and-initiatives/funding/enhanced-training-support-for-smes1.html

Funding under Workfare Training Support ("WTS")

To qualify, individuals must meet the following criteria:

  1. Be a Singapore Citizen; and

  2. Aged 35 years and above (13 years and above for Persons With Disabilities); and

  3. Earn a monthly income of not more than $2,000.

  4. Training allowance is only available for individuals who pay for their own training.

  5. Individuals can apply at any of WSG's Careers Connect or NTUC's e2i centres up to 30 days (including weekends and public holidays) before or after the start of the course.

    For more info, please visit WSG website at http://www.wsg.gov.sg/programmes-and-initiatives/workfare-training-support-individuals.html

Funding under Union Training Assistance Programme ("UTAP")

UTAP is a training benefit for NTUC members to defray their cost of training. This benefit is to encourage more union members to go for skills upgrading.

NTUC members enjoy 50% unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP (Union Training Assistance Programme).

For more info, please visit https://e2i.com.sg/individuals/ntuc-education-and-training-fund/.