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Digital Fluency CLaaS- Data Analytics_V1.0

Data Analytics

WSQ Business Analytics (SF)
(Synchronous and Asynchronous E-Learning)

Duration and Delivery Mode:
Full-time (3 Weeks)

Data Analytics

WSQ Business Analytics (SF)
(Synchronous and Asynchronous E-Learning)

Duration and Delivery Mode:
Full-time (3 Weeks)

Course Brief

The “Data Analytics” course is designed to empower learners with the essential knowledge and skills required to thrive in the dynamic field of data analysis. Through a structured series of learning units, participants will establish a robust foundation in various facets of data analytics. The course commences with an exploration of fundamental concepts in data analytics and Power BI, enabling participants to adeptly prepare and transform data, create insightful visualizations and reports, develop data models, and proficiently format and present information using interactive dashboards. An additional emphasis is placed on immersing participants in the realm of business simulation through MonsoonSIM, refining their decision-making process and collaborative problem-solving abilities.

Expanding on the expertise garnered from the learning units, participants will engage in hands-on, real-world scenarios through a comprehensive project. This project offers a unique opportunity to implement a data analytics solution employing Power BI and MonsoonSIM, seamlessly integrating data analysis and simulation techniques. By leveraging these tools, participants will gain practical experience in analyzing and interpreting data, making informed decisions based on data insights, and simulating diverse business scenarios. This practical application will foster the development of the participants’ capacity to extract meaningful insights, collaborate effectively, and actively contribute to the success of businesses.

Upon successful completion of the “Data Analytics” course, participants will emerge with a profound understanding of data analytics principles and techniques. They will possess proficiency in utilizing Power BI and MonsoonSIM, equipped with the necessary skills to prepare and transform data, craft impactful visualizations and reports, develop data models, and design interactive dashboards. Furthermore, participants will be empowered to apply their acquired knowledge in practical settings, utilizing data analysis and simulation to drive informed decision-making and address intricate business challenges.

Knowledge, Skill, Ability Summary

At the end of the course, you will be able to acquire the following:

Knowledge

  • Analyse data using Power BI, showcasing a deep understanding of data analytics principles and techniques.
  • Examine the fundamentals of data analytics and Power BI, fostering a comprehensive knowledge base.
  • Explore business simulation through MonsoonSIM, enhancing decision-making and problem-solving skills in a collaborative environment.
  • Integrate data analysis and simulation techniques in real-world scenarios using Power BI and MonsoonSIM.
  • Apply practical techniques for formatting, presenting information, and creating interactive dashboards in Power BI.

Skills

  • Craft impactful visualizations and reports in Power BI, showcasing proficiency in data presentation techniques.
  • Demonstrate problem-solving prowess through collaborative decision-making in business simulation scenarios using MonsoonSIM.
  • Utilize Power BI to prepare and transform data effectively, displaying competence in data manipulation and transformation.
  • Develop data models in Power BI, showcasing a practical understanding of data structuring and modelling techniques.
  • Apply acquired knowledge to drive informed decision-making, leveraging data analysis and simulation to address complex business challenges.
Ability
Upon completion, learners will possess the ability to seamlessly integrate data analytics and simulation techniques, deriving meaningful insights, making informed decisions, and contributing actively to business success using Power BI and MonsoonSIM.

Blended Learning Journey
(60.5 Hours)

E-Learning
(Async)

12 Hours

Flipped Class
(Sync)

12 Hours

Mentoring Support
Assignment (Sync)

12 Hours

Mentoring Support
Project Mentoring (Sync)

12 Hours

Mentoring Support
Project Implementation (Async)

12 Hours

Assessment
(Sync)

0.5 Hours

Module Summary

Other Information
  • SSG Module Reference No: TGS-2023019811
  • Module Validity Date: 31 Jan 2025
 
Module Session Plan

Target Audience & Prerequisite

Target Audience

  • Individuals seeking to acquire data analytics skills or transition into a career in data analytics.

Prerequisite

  • Academic: Minimum one credit in O Level or its equivalent
  • English Proficiency: Minimum IELTS 5.5 or its equivalent
  • Age: Minimum 21 years
  • Work Experience: Not mandatory

Graduation Requirements

Each learner must meet the following requirements to secure academic qualifications and eduCLaaS job role certification.
  • Minimum 75% attendance in all sessions.
  • Minimum pass grade in the summative assessment of each module

Certificates

Academic Qualification NIL
Statement of Attainment
Business Analytics
  • ICT-DIT-3006-1.1: Data Visualization
Industry Skills Certification
  • WSQ Install and Configure Server (SF)
    AZ-104: Microsoft Azure Administrator
  • WSQ Administer Server (SF)
    AZ-800: Administering Windows Server Hybrid Core Infrastructure
  • WSQ Configure Advanced Server (SF)
    AZ-801: Configuring Windows Server Hybrid Advanced Services
  • WSQ Cloud Administration (SF)
    AZ-140: Configuring and Operating Microsoft Azure Virtual Desktop
  • WSQ Security Administration (SF)
    SC-300: Microsoft Identity and Access Administrator
EduCLaaS Job Role Certification
Associate Cloud Administrator

Other Information

SSG Course Reference No: TGS-2023019811
Course Validity Date: 31 Jan 2025
Course Developer: Lithan Academy

Pricing & Funding