UEN No.: 198802365N

ICDL Data Analytics – Foundation

COURSE details

Course Duration

16 HRS

Course Reference Number

N.A

Mode of Training

Classroom

COURSE OVERVIEW

The ICDL Data Analytics – Foundation module sets out essential knowledge and skills relating to data analytics concepts, statistical analysis, data set preparation, data set summarisation and data visualisation.

  • Understand the key concepts relating to the application of data analytics in business.
  • Understand and apply key statistical analysis concepts.
  • Import data into a spreadsheet and prepare it for analysis using data cleansing and filtering techniques.
  • Summarise data sets using pivot tables and pivot charts.
  • Understand and apply data visualization techniques and tools.
  • Create and share reports and dashboards in a data visualization tool.
1. Concepts and Statistical Analysis
1.1 Key Concepts
  • Identify the main types of data analytics: descriptive, diagnostic, predictive, prescriptive, quantitative, qualitative.
  • Outline the business benefits of data analytics: identifies patterns/trends, improves efficiency, supports decision making, presents information effectively.
  • Identify the main phases of data analysis: business understanding, data understanding, data preparation, modelling, evaluation, deployment.
  • Recognise data protection considerations when analysing data like: anonymise personal data if possible, comply with applicable data protection regulations.1.2 Statistical Analysis
  • Describe measures of central tendency of a data set: mean, median, mode.
  • Calculate the central tendency value of a data set using a function: mean, median, mode.
  • Describe measures of variation of a data set: quartiles, variance, range.
  • Calculate the variation of a data set: quartile, variance, range.
2. Data Set Preparation
2.1 Importing, Shaping
  • Import data into a spreadsheet application: .csv file, spreadsheet, website table, database table.
  • Remove duplicate data.
  • Validate that given values belong to a reference data set using the vlookup function.
  • Validate that given values belong to a specified range using one or more if functions.
  • Extract values from a string using text functions: left, right, len, mid, find.2.2 Filtering
  • Format a data set as a built-in table.
  • Insert and use table slicers.
3. Data Set Summarisation
3.1 Pivot Table Data Aggregation
  • Change the method of aggregation for a value: sum, average, count, minimum, maximum.
  • Display multiple aggregation values.
  • Display values as: % calculation, difference from specific values, running total, ranked.
3.2 Pivot Table Frequency Analysis
  • Automatically, manually group data and rename groups.
  • Ungroup data.
3.3 Filtering Pivot Tables
  • Use the report filter
  • Insert and use slicers to filter single, multiple pivot tables.
  • Insert and filter a timeline
3.4 Using Pivot Charts
  • Insert a pivot chart for an existing pivot table.
  • Create a pivot chart from fields in a data set.
4. Data Visualization
4.1 Concepts and Setup
  • Understand the concept of data visualization using reports and dashboards. Outline common visualizations like: charts, key performance indicators (KPIs), maps.
  • Recognise common data visualization tools and their functions like: visualise data, publish and share business intelligence.
  • Understand good design practice in reports and dashboards like: clean and uncluttered layout, descriptive titles, consistent fonts and colour, use of colour for emphasis and understanding.
4.2 Visualization
  • Create tables in a report.
  • Visualise data as a chart: column, bar, line, pie.
  • Apply, edit font and background conditional formatting to show: high/low values, above/below average values.
  • Apply, edit data bars.
  • Apply, edit visual level filters.
4.3 Publishing and Sharing
  • Publish a report.
  • Create a dashboard.
  • Share a report, dashboard using a link. Share a report to web.
  • Learners must possess WPL level 5 and WPN level 5.
  • Learners must be able to operate computers at intermediate level
Course Outline

Download the PDF below for a summary of the course outline.

COURSE FEES

Company Sponsored / Self Sponsored

Full Fee GST Nett Fee Payable (incl. GST)
$490 $44.10 $534.10

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