- Entry Requirement
- Company Sponsored
- Self Sponsored
Course Fees
$716.00 (Before funding*)
Description
TPGateway Course Code
TGS-2024042144
Claim your SFC here !
Funding
UTAP : Available for all NTUC Members
Format
VILT takes the fundamentals of face-to-face (F2F) training and replicates the experience online and live.
Duration
2 days or 16 hours
Prerequisites
- Basic Computer Literacy
- Familiarity with Spreadsheet Software
Certification
On successful completion of the course, you will receive a Certificate of Course Competition Certificate from TÜV NORD.
Who should attend this course?
- Aspiring Data Analysts
- Research Professionals
- BusinessProfessionals
- Marketing Specialists
- Healthcare Professionals
- Public Sector Employees
- IT and Tech Enthusiasts
- Educators and Trainers
Description
Unlock the secrets of effective data collection and analysis with ourcomprehensive course! Designed to walk you through the intricate process ofgathering high-quality data, this journey ensures you’re equipped to makeinformed decisions and advance yourresearch. Dive into a variety of collectionmethods, from surveys to interviews and observation, and gain mastery overdata quality, sampling techniques, and data mining processes. Elevate your skillsand transform data into powerful insights with us
Module 1: Data Collection and Quality Framework
This module provides a general framework that allows participants not onlyunderstand each step required for a successful data collection and analysis,but also help to identify errors associated with different data sources.Participants will learn some metrics to quantify each potential error and candescribe the quality of a data source.
- Research Designs and Data Sources
- Measurements and Analysis Plan
- Quality of Data
- Survey Life Cycle
Module 2: Modes of Data Collection
The module reviews a range of survey data collection methods that are bothinterview-based (face-to-face and telephone) and self-administered (paperquestionnaires that are mailed and those that are implemented online, i.e., asweb surveys). Mixed mode designs are also covered as well as several hybridmodes for collecting sensitive information.
- Classic Modes of Survey Data Collection
- Interviewers and Interviewing
- Emerging Modes, new Data Sources
Module 3: Qualitative Data Collection Methods
This module presents a detailed overview of qualitative methods of datacollection, including observation, interviews, and focus group discussions. Wewill start with an in-depth overview of each method, explore how to plan fordata collection, including developing data collection guides, and discusstechniques for managing data collection.
- Observation Techniques
- Interviews Designs
- Focus Room Discussions
- Transcription
Module 4: Sampling and Handling Missing Data
This module covers the steps used in weighting sample surveys, includingmethods for adjusting for nonresponse. Alternative techniques for imputingvalues for missing items will be discussed.
- Sampling as a Research Tool
- Randomization
- General Steps in Weighting
- Imputing for Missing Items
Module 5: Data Mining and Analysis
In this module participants will learn how data mining can potentially finduseful patterns from huge data sets. The insights derived from Data Mining areused for marketing, fraud detection, scientific discovery, etc.
- Data Mining Implementation Process
- Data Preparation and Transformation
- Data Modelling and Evaluation
- Data Mining Process
- Data Mining Techniques
- Applications of Data Mining
Module 6: Data Mining and Business Intelligence Tools
Based on the nature of data, there is a need for business to decide which toolis suitable to handle the data. In this module participants will learn what alltools are available in the market.
- Introduction to Data Mining Tools
- Business Intelligence Tools
- Gartner Analysis Report
- Comparison among BI Tools
Why Choose Avanta Academy?
Avanta Academy, a member of the TÜV Nord Group in Germany,offers a practical and interactive approach to learning Excel for dataanalytics. Our experienced instructors provide hands-on training, ensuring that participants not only understand theoretical aspects but alsoacquire practical skills applicable in their professional life
Company Sponsored
Important Note:
1. [Company Sponsored]: Company shall ensure there is employer-employee relationship and CPF contribution for employer-sponsored trainees. Should SDF grant disbursement be rejected due to wrong company / UEN provided to Avanta, the company shall be liable to pay the full course fees with out grant.
2. Registration is valid only if, each participant Mobile Number & Email address is provided (Shouldn’t provide same contact details of Person in charge)
Course Fees
$716.00 (Before funding*)
Description
TPGateway Course Code
TGS-2024042144
Claim your SFC here !
Funding
UTAP : Available for all NTUC Members
Format
VILT takes the fundamentals of face-to-face (F2F) training and replicates the experience online and live.
Duration
2 days or 16 hours
Prerequisites
- Basic Computer Literacy
- Familiarity with Spreadsheet Software
Certification
On successful completion of the course, you will receive a Certificate of Course Competition Certificate from TÜV NORD.
Who should attend this course?
- Aspiring Data Analysts
- Research Professionals
- BusinessProfessionals
- Marketing Specialists
- Healthcare Professionals
- Public Sector Employees
- IT and Tech Enthusiasts
- Educators and Trainers
Description
Unlock the secrets of effective data collection and analysis with ourcomprehensive course! Designed to walk you through the intricate process ofgathering high-quality data, this journey ensures you’re equipped to makeinformed decisions and advance yourresearch. Dive into a variety of collectionmethods, from surveys to interviews and observation, and gain mastery overdata quality, sampling techniques, and data mining processes. Elevate your skillsand transform data into powerful insights with us
Module 1: Data Collection and Quality Framework
This module provides a general framework that allows participants not onlyunderstand each step required for a successful data collection and analysis,but also help to identify errors associated with different data sources.Participants will learn some metrics to quantify each potential error and candescribe the quality of a data source.
- Research Designs and Data Sources
- Measurements and Analysis Plan
- Quality of Data
- Survey Life Cycle
Module 2: Modes of Data Collection
The module reviews a range of survey data collection methods that are bothinterview-based (face-to-face and telephone) and self-administered (paperquestionnaires that are mailed and those that are implemented online, i.e., asweb surveys). Mixed mode designs are also covered as well as several hybridmodes for collecting sensitive information.
- Classic Modes of Survey Data Collection
- Interviewers and Interviewing
- Emerging Modes, new Data Sources
Module 3: Qualitative Data Collection Methods
This module presents a detailed overview of qualitative methods of datacollection, including observation, interviews, and focus group discussions. Wewill start with an in-depth overview of each method, explore how to plan fordata collection, including developing data collection guides, and discusstechniques for managing data collection.
- Observation Techniques
- Interviews Designs
- Focus Room Discussions
- Transcription
Module 4: Sampling and Handling Missing Data
This module covers the steps used in weighting sample surveys, includingmethods for adjusting for nonresponse. Alternative techniques for imputingvalues for missing items will be discussed.
- Sampling as a Research Tool
- Randomization
- General Steps in Weighting
- Imputing for Missing Items
Module 5: Data Mining and Analysis
In this module participants will learn how data mining can potentially finduseful patterns from huge data sets. The insights derived from Data Mining areused for marketing, fraud detection, scientific discovery, etc.
- Data Mining Implementation Process
- Data Preparation and Transformation
- Data Modelling and Evaluation
- Data Mining Process
- Data Mining Techniques
- Applications of Data Mining
Module 6: Data Mining and Business Intelligence Tools
Based on the nature of data, there is a need for business to decide which toolis suitable to handle the data. In this module participants will learn what alltools are available in the market.
- Introduction to Data Mining Tools
- Business Intelligence Tools
- Gartner Analysis Report
- Comparison among BI Tools
Why Choose Avanta Academy?
Avanta Academy, a member of the TÜV Nord Group in Germany,offers a practical and interactive approach to learning Excel for dataanalytics. Our experienced instructors provide hands-on training, ensuring that participants not only understand theoretical aspects but alsoacquire practical skills applicable in their professional life
