Introduction to Data Analysis using Excel and Power BI

Funding Validity Period

25 April 2023

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24 April 2027

Course Overview

This course sets out the foundational skills and knowledge to introduce learners to data analysis using Excel functions and formulae and creation of data visualisation to generate business insights by identifying trends and patterns

Skills Acquired

By the end of this course, learners will be able to:
  • Apply Excel functions and formulas to create statistical techniques like mean, median and regression analysis.
  • Identify various trends and patterns from data sets using techniques for statistical analysis.
  • Apply Statistical Functions for Data Analysis
  • Identify Data Requirement with Stakeholder for Further Analysis

Learning Modules

Learning Unit 1 Understand Data Analysis Process and Using Functions for Statistical Analysis
  • What is Data Analysis
  • Benefits of Data Analytics
  • The Data Analysis Cycle
  • Data Protection Laws and Data Anonymity
  • The 4 Types of Data Analysis
  • The Types of Data
  • What are Statistics?
  • The Statistical Functions in Excel
Learning Unit 2 – Importing and Shaping Data Sets for Analysis of Trends and Patterns
  • Importing Data from Different Data Sources into Excel
  • Using Functions to Prepare Data for Statistical Analysis
  • Creating interactive dashboards to illustrate patterns and trends
Learning Unit 3 – Using Functions and Features to Create Statistical Data Visualisation in Excel and Power BI
  • Introduction to Power BI Desktop
  • Navigating around Power BI
  • Creating statistical visuals
  • Creating conditional formatting to highlight patterns
  • Creating trendlines and slicers
Learning Unit 4 – Create Interactive Basic Visualisation and Dashboards for Further Insights
  • Introduction to basic DAX function and formulas
  • Creating KPIs, Scorecards, Gauge visualisation
  • Publishing Power BI reports to Power BI Analysis Services

Who is this course for

This training is relevant to PMETs who are new to data analysis and is keen to expand their knowledge of Excel to include the use of data analysis functions and dashboards as well as apply data visualization tools for interactive data

Academic prerequisites

  • Learners must be able to read, write, speak and listen to English at secondary school level
  • Learners to have minimum GCE ‘O’ level or ITE certificate education
  • Learners must be able to operate a personal computer, use keyboard and mouse
  • Learners must have basic Excel knowledge
 

Course Fees

Fees Small Medium Enterprises (SMEs) Non Small Medium Enterprises Singaporean Employees aged 40 years and above
Full Fee $580.00 $580.00 $580.00
9% GST (on full course fee) $52.20 $52.20 $52.20
Funding Amount $406.00 (70% off course fee) $290.00 (50% off course fee) $406.00 (70% off course fee)
Nett Fee Payable (incl. GST) $226.20 $342.20 $226.20
  • SME: Company registered or incorporated in Singapore AND employment size of not more than 200 or with annual sales turnover of not more than $100 million
  • Non-SME (MCES): Employee is Singaporean aged 40 years and above
Course Fee Subsidy: SME: 70% of course fee
Non-SME: 50% of course fee
Non-SME(MCES): 70% of course fee Capped at $4.50 per hour per trainee and a maximum of $100,000 per enterprise per calendar year
Fees Singapore Citizens (40 years and above) Singapore Citizens (21 to 39 years old) & Permanent Residents (21 years old and above)
Full Fee $580.00 $580.00
9% GST (on full course fee) $52.20 $52.20
Funding Amount $406.00 (70% off course fee) $290.00 (50% off course fee)
Nett Fee Payable (incl. GST) $226.20 $342.20
  • MCES: Singaporean aged 40 years and above
  • Normal: Singaporean / PR aged 21 years and above
Course Fee Subsidy: MCES: 70% of course fee
Normal: 50% of course fee
Introduction to Data Analysis using Excel and Power BI

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