Custom Courses Information Technology (IT) and Digital Skills

Business Intelligence and Data Analysis Training

SAQA US AATICD-0091 | NQF 5 | Credits 10 | Duration 5 Days
From $1,242 per delegate

Description

This course equips learners with the skills to collect, process, and analyse data to support strategic business decisions. Participants will learn to apply data visualisation techniques and interpret business intelligence tools for organisational improvement. The course bridges the gap between raw data and actionable insights, fostering a data-driven culture within the workplace.

Learning Outcomes

  • Apply data collection and cleaning techniques to prepare datasets for analysis.
  • Analyse business data using descriptive and diagnostic analytics methods.
  • Evaluate data visualisation tools to present insights effectively to stakeholders.
  • Design basic dashboards and reports using business intelligence software.
  • Implement data-driven recommendations to improve business processes.
  • Demonstrate ethical handling and storage of data in compliance with POPIA.

Target Audience

This course is ideal for business analysts, data analysts, managers, and professionals seeking to enhance their data interpretation skills. It is also suitable for individuals transitioning into data-focused roles within corporate environments.

Prerequisites

None — open enrollment.

Course Outline

Day 1: Foundations of Business Intelligence and Data Analysis

Objectives:
• Understand the role of BI and data analysis in organisational decision-making.
• Identify different types of data and data sources.
• Explain the data analysis lifecycle and key BI concepts.
• Differentiate between descriptive, diagnostic, predictive, and prescriptive analytics.

Topics:
• Introduction to Business Intelligence and Data Analysis
• Data types (structured, semi-structured, unstructured)
• Data sources and data warehousing basics
• The data analysis lifecycle (ask, prepare, process, analyse, share, act)
• Types of analytics: descriptive, diagnostic, predictive, prescriptive
• Overview of BI tools and technologies (Power BI, Tableau, Excel)
• Ethical considerations and data governance
• Quiz: Key concepts

Day 2: Data Preparation and Exploration

Objectives:
• Apply data cleaning techniques to handle missing values and outliers.
• Perform data transformation and normalisation.
• Conduct exploratory data analysis (EDA) using summary statistics and visualisations.
• Use Excel and Power Query for data preparation.

Topics:
• Data quality assessment and cleaning
• Handling missing data and outliers
• Data transformation: normalisation, aggregation, pivoting
• Introduction to Power Query (Excel) for data shaping
• Exploratory Data Analysis (EDA): summary statistics, distributions, correlations
• Data visualisation for exploration (histograms, box plots, scatter plots)
• Practical exercise: Clean and explore a sample dataset
• Review and key takeaways

Day 3: Data Modelling and Analysis Techniques

Objectives:
• Build and interpret basic statistical models (regression, clustering).
• Apply filtering, sorting, and aggregation functions in Excel.
• Use pivot tables and charts for multidimensional analysis.
• Perform trend analysis and forecasting using simple techniques.

Topics:
• Statistical modelling basics: linear regression, k-means clustering
• Excel functions: VLOOKUP, INDEX-MATCH, IF, SUMIFS
• Pivot tables and pivot charts for data summarisation
• Time series analysis and moving averages
• Forecasting techniques: trend lines, exponential smoothing
• Introduction to Power BI: connecting to data and basic visuals
• Practical exercise: Build a regression model in Excel
• Assessment: Data analysis quiz

Day 4: Advanced Analytics and Dashboarding

Objectives:
• Design interactive dashboards in Power BI.
• Use DAX (Data Analysis Expressions) for calculated columns and measures.
• Apply advanced visualisation techniques (heat maps, tree maps, slicers).
• Interpret dashboard insights to support business decisions.

Topics:
• Power BI desktop interface and data modelling
• DAX basics: CALCULATE, SUMX, FILTER, ALL
• Creating measures and calculated columns
• Advanced visualisations: heat maps, tree maps, scatter charts
• Slicers, filters, and drill-through pages
• Dashboard design principles (simplicity, clarity, interactivity)
• Sharing and publishing dashboards
• Practical exercise: Build a sales dashboard

Day 5: BI Strategy, Communication, and Capstone

Objectives:
• Develop a BI strategy aligned with organisational goals.
• Communicate data insights effectively to stakeholders.
• Integrate multiple tools (Excel, Power BI) for end-to-end analysis.
• Complete a capstone project demonstrating full data analysis workflow.

Topics:
• BI strategy: maturity models, governance, and roadmap
• Data storytelling: crafting narratives with data
• Presenting insights: reports, dashboards, and presentations
• Integrating Excel and Power BI workflows
• Capstone project: from raw data to actionable insights
• Peer review and feedback
• Course wrap-up and next steps
• Final assessment

Practicals

16 hours of practicals To be conducted online or on-campus or in-house
Overview

Hands-on practical sessions are integral to this course, allowing learners to apply BI and data analysis concepts using real-world datasets. Learners will use Excel and Power BI to clean, model, analyse, and visualise data, culminating in a capstone project that demonstrates end-to-end analytical skills.

Practical Activities
  • Data Cleaning and Exploration with Excel — Learners clean a messy dataset (handle missing values, remove duplicates, correct formats) and perform exploratory data analysis using summary statistics and charts. (4h)
  • Statistical Modelling and Pivot Tables — Learners build a linear regression model in Excel, create pivot tables to summarise sales data, and use forecasting techniques. (4h)
  • Power BI Dashboard Development — Learners connect Power BI to a dataset, create DAX measures, and design an interactive dashboard with slicers and drill-through pages. (4h)
  • Capstone Project: End-to-End Analysis — Learners work individually or in pairs to complete a full data analysis project: from data import and cleaning to analysis, dashboard creation, and presentation of insights. (4h)

Summatives

Each delegate is assessed continuously throughout the course via daily exercises, scored practical assignments, and a final summative test at the end.

Practical Assignments — 30%

Practical assignments are observed and scored against a rubric during the practical sessions. Each delegate's practical mark is averaged into a single 100% score and contributes 30% to the final total.

Daily Exercises — 20%

Every training day ends with a multiple-choice exercise scored out of 100%. The scores from each daily exercise are averaged across the duration of the course to produce a Daily Average mark, which contributes 20% to the final total.

Final Test — 50%

On the last day a final summative test is written. It is a multiple-choice paper with multiple-answer questions: each question may have more than one correct option, and a single wrong selection on a question marks the entire question wrong — no partial credit. The final test is scored out of 100% and contributes 50% to the overall mark.

Final Total
Component Out of Weight
Practical Assignments (rubric-scored) 100% 30%
Daily Average (multiple choice) 100% 20%
Final Test (multi-answer multiple choice) 100% 50%
Final Total 100%

All marks are recorded on the AATICD LMS and visible to each learner under their account.

Certificate

Certificate of Completion

Awarded to delegates who achieve an overall mark of 50% or higher on the Final Total (Practicals 30% + Daily Average 20% + Final Test 50%).

How it works
  • Certificates are auto-generated on the AATICD LMS as soon as the marks pass the 50% threshold.
  • Each certificate is a branded PDF with the delegate's name, the course title, the unit standard ID, NQF level, credits, and the date of issue.
  • You can download or print your certificate from your LMS dashboard at any time after issue — there's no reissue fee and no expiry date.
  • If you scored under 50% you can sit the final test again at the next scheduled session at no extra cost.
Where to find it

Sign in to the LMS, open your dashboard, and your certificates appear under My Certificates. Each entry has a View / Download button and a print option.

Training Discounts

Group discounts apply automatically — the more delegates you enrol, the greater the saving. Discounts are calculated at 3% per 5 delegates, scaling up to 40% off for 100+ delegates.

Delegates Discount
5 3% off
10 6% off
15 9% off
20 12% off
25 15% off
30 18% off
50 30% off
75 35% off
100 40% off

3% discount per 5 delegates, up to 40% off for 100+ delegates. Contact us for a custom group quote.

Upcoming Training Sessions
Online training — attend live sessions from anywhere via our virtual classroom.
Start End Delivery Season Price Action
Mon 07 Sep 2026 Fri 11 Sep 2026 Virtual Spring 2026 $1,242 Register
Mon 21 Sep 2026 Fri 25 Sep 2026 Virtual Spring 2026 $1,242 Register
Mon 05 Oct 2026 Fri 09 Oct 2026 Virtual Spring 2026 $1,242 Register
Mon 07 Dec 2026 Fri 11 Dec 2026 Virtual Summer 2026 $1,242 Register
Mon 04 Jan 2027 Fri 08 Jan 2027 Virtual Summer 2026 $1,242 Register
Mon 01 Feb 2027 Fri 05 Feb 2027 Virtual Summer 2026 $1,242 Register
Mon 01 Mar 2027 Fri 05 Mar 2027 Virtual Autumn 2027 $1,242 Register
Mon 07 Jun 2027 Fri 11 Jun 2027 Virtual Winter 2027 $1,242 Register
Mon 21 Jun 2027 Fri 25 Jun 2027 Virtual Winter 2027 $1,242 Register
Mon 05 Jul 2027 Fri 09 Jul 2027 Virtual Winter 2027 $1,242 Register
Mon 06 Sep 2027 Fri 10 Sep 2027 Virtual Spring 2027 $1,242 Register
Mon 20 Sep 2027 Fri 24 Sep 2027 Virtual Spring 2027 $1,242 Register
Mon 04 Oct 2027 Fri 08 Oct 2027 Virtual Spring 2027 $1,242 Register
Mon 06 Dec 2027 Fri 10 Dec 2027 Virtual Summer 2027 $1,242 Register
Mon 20 Dec 2027 Fri 24 Dec 2027 Virtual Summer 2027 $1,242 Register
Mon 03 Jan 2028 Fri 07 Jan 2028 Virtual Summer 2027 $1,242 Register
On-Campus training — face-to-face sessions at our training venues across Africa and beyond.
Showing all 424 sessions across 26 venues
Start End Venue Season Price Action
Mon 10 Aug 2026 Fri 14 Aug 2026 Durban, South Africa Winter 2026 $2,916 Register
Mon 10 Aug 2026 Fri 14 Aug 2026 Abu Dhabi, UAE Winter 2026 $5,238 Register
Mon 17 Aug 2026 Fri 21 Aug 2026 Harare, Zimbabwe Winter 2026 $3,078 Register
Mon 17 Aug 2026 Fri 21 Aug 2026 Shenzhen, China Winter 2026 $7,398 Register
Mon 24 Aug 2026 Fri 28 Aug 2026 Bangkok, Thailand Winter 2026 $6,318 Register
In-House training — we bring the trainer to your organisation, tailored to your team.
Start End Delivery Season Price Action
Mon 14 Sep 2026 Fri 18 Sep 2026 Your Premises Spring 2026 $1,615 Register
Mon 28 Sep 2026 Fri 02 Oct 2026 Your Premises Spring 2026 $1,615 Register
Mon 12 Oct 2026 Fri 16 Oct 2026 Your Premises Spring 2026 $1,615 Register
Mon 14 Dec 2026 Fri 18 Dec 2026 Your Premises Summer 2026 $1,615 Register
Mon 11 Jan 2027 Fri 15 Jan 2027 Your Premises Summer 2026 $1,615 Register
Mon 08 Feb 2027 Fri 12 Feb 2027 Your Premises Summer 2026 $1,615 Register
Mon 08 Mar 2027 Fri 12 Mar 2027 Your Premises Autumn 2027 $1,615 Register
Mon 14 Jun 2027 Fri 18 Jun 2027 Your Premises Winter 2027 $1,615 Register
Mon 28 Jun 2027 Fri 02 Jul 2027 Your Premises Winter 2027 $1,615 Register
Mon 12 Jul 2027 Fri 16 Jul 2027 Your Premises Winter 2027 $1,615 Register
Mon 13 Sep 2027 Fri 17 Sep 2027 Your Premises Spring 2027 $1,615 Register
Mon 27 Sep 2027 Fri 01 Oct 2027 Your Premises Spring 2027 $1,615 Register
Mon 11 Oct 2027 Fri 15 Oct 2027 Your Premises Spring 2027 $1,615 Register
Mon 13 Dec 2027 Fri 17 Dec 2027 Your Premises Summer 2027 $1,615 Register
Mon 27 Dec 2027 Fri 31 Dec 2027 Your Premises Summer 2027 $1,615 Register
Mon 10 Jan 2028 Fri 14 Jan 2028 Your Premises Summer 2027 $1,615 Register
Training Discounts
Delegates Discount
5 3% off
10 6% off
15 9% off
20 12% off
25 15% off
30 18% off
50 30% off
75 35% off
100 40% off

3% off per 5 delegates, up to 40% for 100+

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