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 business data to support strategic decision-making. Participants will learn to use data visualisation tools and statistical techniques to uncover trends and insights, enabling organisations to improve performance and gain competitive advantage.

Learning Outcomes

  • Apply data collection techniques to gather relevant business data from multiple sources.
  • Analyse data using descriptive and inferential statistical methods to identify patterns and trends.
  • Evaluate data quality and integrity to ensure reliable analysis.
  • Design data visualisations and dashboards to communicate insights effectively.
  • Implement data-driven recommendations to support business strategy and operations.
  • Demonstrate the ability to interpret analytical results and present findings to stakeholders.

Target Audience

This course is designed for business analysts, data analysts, managers, and professionals who need to interpret data to drive business decisions. It is also suitable for individuals seeking to transition into data-driven roles.

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 key concepts: data, information, knowledge, and wisdom.
• Differentiate between descriptive, diagnostic, predictive, and prescriptive analytics.
• Recognise common data sources and types (structured, semi-structured, unstructured).

Topics:
• Introduction to Business Intelligence and Data Analysis
• The DIKW pyramid (Data-Information-Knowledge-Wisdom)
• Types of analytics: descriptive, diagnostic, predictive, prescriptive
• Data sources and data types
• Overview of the data analysis process
• Introduction to data quality and governance
• Role of BI in South African business context
• Ethical considerations in data analysis

Day 2: Data Preparation and Exploration

Objectives:
• Perform data cleaning and preprocessing techniques.
• Apply exploratory data analysis (EDA) using summary statistics and visualisations.
• Use tools like Excel or Python for basic data manipulation.
• Identify and handle missing data and outliers.

Topics:
• Data cleaning: handling missing values, duplicates, inconsistencies
• Data transformation: normalisation, standardisation, encoding
• Exploratory Data Analysis (EDA) overview
• Summary statistics: mean, median, mode, variance, standard deviation
• Visualisation techniques: histograms, box plots, scatter plots
• Introduction to Excel for data analysis (PivotTables, charts)
• Introduction to Python for data analysis (Pandas basics)
• Correlation and basic pattern identification

Day 3: Data Modelling and Analysis Techniques

Objectives:
• Apply statistical methods to analyse data.
• Build and interpret regression models.
• Understand clustering and classification techniques.
• Use SQL for querying and aggregating data.

Topics:
• Descriptive statistics vs inferential statistics
• Hypothesis testing basics (t-test, chi-square)
• Linear regression: simple and multiple
• Introduction to classification: decision trees, logistic regression
• Introduction to clustering: k-means
• SQL fundamentals for data analysts (SELECT, GROUP BY, JOINs)
• Model evaluation metrics (accuracy, precision, recall)
• Overfitting and underfitting concepts

Day 4: Data Visualisation and Dashboarding

Objectives:
• Design effective data visualisations using best practices.
• Build interactive dashboards in tools like Power BI or Tableau.
• Communicate insights through storytelling with data.
• Apply visualisation techniques to real-world datasets.

Topics:
• Principles of data visualisation (Tufte, Gestalt principles)
• Chart selection: bar, line, pie, heatmap, etc.
• Introduction to Power BI: data import, transformations, visuals
• Creating dashboards: KPIs, filters, slicers
• Introduction to Tableau: basic worksheets and dashboards
• Storytelling with data: narrative structure
• Best practices for dashboard design
• Hands-on dashboard creation with provided datasets

Day 5: Advanced Analytics and Business Application

Objectives:
• Understand advanced analytics techniques (time series, text mining).
• Apply BI tools to solve a business problem.
• Present findings and recommendations to stakeholders.
• Integrate multiple analysis methods for comprehensive insights.

Topics:
• Time series analysis: trends, seasonality, forecasting
• Introduction to text mining and sentiment analysis
• BI strategy and alignment with business goals
• Case study: end-to-end BI project
• Presenting data-driven recommendations
• Data storytelling and report writing
• Future trends: AI, big data, cloud BI
• Course wrap-up and assessment

Practicals

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

Practical sessions are integral to this course as they provide hands-on experience with data analysis tools and techniques. Learners will apply theoretical concepts to real datasets, ensuring they can clean, analyse, visualise, and interpret data effectively. These sessions reinforce learning and build confidence in using BI tools.

Practical Activities
  • Practical 1: Data Cleaning and EDA with Excel — Learners clean a messy dataset (handle missing values, remove duplicates) and perform exploratory data analysis using Excel PivotTables and charts. (4h)
  • Practical 2: SQL Queries and Regression Analysis — Learners write SQL queries to extract and aggregate data from a sample database, then perform linear regression using Python or Excel. (4h)
  • Practical 3: Dashboard Creation with Power BI — Learners import a dataset into Power BI, create measures, and design an interactive dashboard with filters and visualisations. (4h)
  • Practical 4: End-to-End BI Project — Learners work on a comprehensive case study: from data extraction and cleaning to analysis, visualisation, and presentation of actionable 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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