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Training on Data Mining and Analysis

Learn data mining and analysis techniques to extract insights, build predictive models, and support data-driven decisions using Python, R, and Power BI.
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Last updated Apr 2026
English
Level: Advanced Format: In-Person & Online Duration: 5 Days Certification
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Training on Data Mining and Analysis - Course Cover Image
Next scheduled session
8 Jun 2026 - 12 Jun 2026
Mombasa, Kenya
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Course Overview

UPDATED 1 month ago

In today’s data-driven world, the ability to extract meaningful insights from large datasets is essential for informed decision-making. This 5-day course on Data Mining and Analysis equips participants with the skills to uncover patterns, build predictive models, and translate complex data into actionable intelligence.

Participants will explore key data mining concepts, methodologies, and analytical techniques while gaining hands-on experience with tools such as Python, R, and Power BI. The training emphasizes practical applications across sectors, combining statistical analysis, visualization, and predictive modeling to solve real-world business and research challenges.

Through case studies, exercises, and guided projects, participants will learn to identify trends, detect anomalies, and generate insights that support policy, operational, and strategic decisions. By the end of the course, participants will be proficient in applying data mining workflows to drive organizational performance and evidence-based decision-making.

Duration

 5 Days

Who Should Attend

• Data Analysts and Business Intelligence Professionals
• Monitoring and Evaluation (M&E) Officers
• Researchers and Data Scientists
• IT and Decision-Support Specialists
• Policy and Planning Officers seeking data-driven insights

Course Impact

Organizational Impact

  • Strengthened capacity to leverage data for strategic decision-making.

  • Improved efficiency in identifying trends and predicting outcomes.

  • Enhanced evidence-based planning, reporting, and performance monitoring.

Individual Impact

  • Advanced analytical and modeling capabilities.

  • Confidence in using data mining software and techniques.

  • Ability to interpret and communicate complex analytical results clearly.

Course Objectives

By the end of the course, participants will be able to:

  • Understand key principles and techniques of data mining and analysis.
  • Apply clustering, classification, and regression methods to extract insights.
  • Use software tools to clean, transform, and visualize complex data.
  • Develop predictive and descriptive models for business and development use.
  • Present findings effectively to inform decision-making.

Course Outline

Module 1: Fundamentals of Data Mining and Analysis

  • Overview of data mining processes, techniques, and applications

  • Key steps in transforming data into insights

  • Case Study: Identifying business patterns from customer transaction data

Module 2: Data Preparation and Exploration

  • Data cleaning, handling missing values, and transformation methods

  • Exploratory data analysis and visualization fundamentals

  • Case Study: Preparing and visualizing development survey datasets

Module 3: Classification and Prediction Techniques

  • Logistic regression, decision trees, and supervised learning models

  • Evaluating model accuracy and predictive performance

  • Case Study: Predicting credit risk or project success outcomes

Module 4: Clustering and Association Analysis

  • Unsupervised learning: K-means and hierarchical clustering

  • Association rule mining for identifying hidden relationships

  • Case Study: Segmenting program beneficiaries for targeted interventions

Module 5: Data Visualization and Reporting

  • Building interactive dashboards and analytical reports

  • Presenting patterns, trends, and insights for strategic decisions

  • Case Study: Developing a visual performance dashboard for management

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration and Investment

Whether you join us in a physical boardroom or through our virtual campus, we’ve designed every administrative detail for a seamless, professional experience.

1. Training Fees & Inclusions

Our fees are all inclusive during course hours.

  • Covered: High level tuition, comprehensive materials (digital + physical), mid morning and afternoon refreshments, a full executive lunch, and any scheduled study visits or site tours.
  • Not covered: Travel, visa fees, medical/travel insurance, personal expenses, and accommodation.
2. Enrolment and Onboarding

From registration to the classroom, we keep things clear and efficient.

  • Registration: Find your preferred schedule, click “Register,” complete the form, and submit. Need help? Talk to us directly.
  • Pre Course Assessment: After registering, you’ll receive a diagnostic survey to help facilitators tailor content to your needs.
  • Joining Instructions: Once fees are paid, you’ll receive a Delegate Welcome Pack at least 7 days before the start date (venue maps, virtual access links, and pre reading materials).
3. Logistics and Learning Environment

We provide premium environments optimized for adult learning and networking.

  • Physical Venues: Premium 4 star and 5 star executive boardrooms across our global host cities, with high tier catering.
  • Virtual Instructor Led Training (VILT): High definition, interactive platforms featuring breakout rooms, digital whiteboards, and live technical support.
  • NITA and Regulatory Compliance: Administrative processes align with national training authorities.
4. Materials & Technical Support

You’ll leave with tools that extend the course value far beyond the final day.

  • ForElite Learner Kit: A physical or digital course manual, proprietary templates, and a curated toolkit of industry standard SOPs.
  • On Site / In App Support: Dedicated course coordinators handle technical, dietary, or logistical inquiries in real time.
5. Certification & Assessment

We validate your commitment to excellence with internationally recognized credentials.

  • Attendance Tracking: Rigorous daily logging to meet corporate and regulatory accreditation requirements.
  • Verifiable Credentials: Upon successful completion, you receive a certificate of course completion.
6. Post Course Continuity

Our relationship with you doesn’t end when the course closes.

  • Feedback & ROI Reporting: Detailed post course evaluations to give sponsors clear insight into training impact.
  • Alumni Network Access: Every delegate joins the ForElite Alumni Network for ongoing peer to peer learning and exclusive webinars.

When is the next intake?

Updated
June 2026
8 Jun - 12 Jun 2026
Mombasa, Kenya
5 days
KES 119,999
USD 1,399
Enroll Now
8 Jun - 12 Jun 2026
Dar es Salaam, Tanzania
5 days
USD 1,999
Enroll Now
8 Jun - 12 Jun 2026
Pretoria, South Africa
5 days
USD 2,899
Enroll Now
8 Jun - 12 Jun 2026
Abuja, Nigeria
5 days
USD 3,799
Enroll Now
15 Jun - 19 Jun 2026
Nakuru, Kenya
5 days
KES 104,999
USD 1,399
Enroll Now
15 Jun - 19 Jun 2026
Arusha, Tanzania
5 days
USD 1,999
Enroll Now
15 Jun - 19 Jun 2026
Cape Town, South Africa
5 days
USD 3,299
Enroll Now
22 Jun - 26 Jun 2026
Kisumu, Kenya
5 days
KES 109,999
USD 1,399
Enroll Now
22 Jun - 26 Jun 2026
Zanzibar, Tanzania
5 days
USD 2,199
Enroll Now
22 Jun - 26 Jun 2026
Kigali, Rwanda
5 days
USD 1,799
Enroll Now
29 Jun - 3 Jul 2026
Dubai, United Arabs Emirates
5 days
USD 3,999
Enroll Now
29 Jun - 3 Jul 2026
Accra, Ghana
5 days
USD 5,999
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29 Jun - 3 Jul 2026
Dakar, Senegal
5 days
USD 3,999
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July 2026
6 Jul - 10 Jul 2026
Nairobi, Kenya
5 days
KES 99,999
USD 1,399
Enroll Now
6 Jul - 10 Jul 2026
Dubai, United Arabs Emirates
5 days
USD 3,999
Enroll Now
6 Jul - 10 Jul 2026
Zanzibar, Tanzania
5 days
USD 2,199
Enroll Now
6 Jul - 10 Jul 2026
Cape Town, South Africa
5 days
USD 3,299
Enroll Now
6 Jul - 10 Jul 2026
Abuja, Nigeria
5 days
USD 3,799
Enroll Now
13 Jul - 17 Jul 2026
Mombasa, Kenya
5 days
KES 119,999
USD 1,399
Enroll Now
13 Jul - 17 Jul 2026
Kampala, Uganda
5 days
USD 1,999
Enroll Now
13 Jul - 17 Jul 2026
Accra, Ghana
5 days
USD 5,999
Enroll Now
13 Jul - 17 Jul 2026
Kigali, Rwanda
5 days
USD 1,799
Enroll Now
20 Jul - 24 Jul 2026
Nakuru, Kenya
5 days
KES 104,999
USD 1,399
Enroll Now
20 Jul - 24 Jul 2026
Dar es Salaam, Tanzania
5 days
USD 1,999
Enroll Now
20 Jul - 24 Jul 2026
Johannesburg, South Africa
5 days
USD 2,899
Enroll Now
20 Jul - 24 Jul 2026
Dakar, Senegal
5 days
USD 3,999
Enroll Now
27 Jul - 31 Jul 2026
Kisumu, Kenya
5 days
KES 109,999
USD 1,399
Enroll Now
27 Jul - 31 Jul 2026
Arusha, Tanzania
5 days
USD 1,999
Enroll Now
27 Jul - 31 Jul 2026
Pretoria, South Africa
5 days
USD 2,899
Enroll Now
27 Jul - 31 Jul 2026
Cairo, Egypt
5 days
USD 4,499
Enroll Now
August 2026
3 Aug - 7 Aug 2026
Nairobi, Kenya
5 days
Enroll Now
3 Aug - 7 Aug 2026
Kampala, Uganda
5 days
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3 Aug - 7 Aug 2026
Johannesburg, South Africa
5 days
Enroll Now
3 Aug - 7 Aug 2026
Cairo, Egypt
5 days
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10 Aug - 14 Aug 2026
Mombasa, Kenya
5 days
Enroll Now
10 Aug - 14 Aug 2026
Dar es Salaam, Tanzania
5 days
Enroll Now
10 Aug - 14 Aug 2026
Pretoria, South Africa
5 days
Enroll Now
10 Aug - 14 Aug 2026
Abuja, Nigeria
5 days
Enroll Now
17 Aug - 21 Aug 2026
Nakuru, Kenya
5 days
Enroll Now
17 Aug - 21 Aug 2026
Arusha, Tanzania
5 days
Enroll Now
17 Aug - 21 Aug 2026
Cape Town, South Africa
5 days
Enroll Now
24 Aug - 28 Aug 2026
Kisumu, Kenya
5 days
Enroll Now
24 Aug - 28 Aug 2026
Zanzibar, Tanzania
5 days
Enroll Now
24 Aug - 28 Aug 2026
Kigali, Rwanda
5 days
Enroll Now
31 Aug - 4 Sep 2026
Dubai, United Arabs Emirates
5 days
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31 Aug - 4 Sep 2026
Accra, Ghana
5 days
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31 Aug - 4 Sep 2026
Dakar, Senegal
5 days
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September 2026
7 Sep - 11 Sep 2026
Nairobi, Kenya
5 days
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7 Sep - 11 Sep 2026
Dubai, United Arabs Emirates
5 days
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7 Sep - 11 Sep 2026
Zanzibar, Tanzania
5 days
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7 Sep - 11 Sep 2026
Cape Town, South Africa
5 days
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7 Sep - 11 Sep 2026
Abuja, Nigeria
5 days
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14 Sep - 18 Sep 2026
Mombasa, Kenya
5 days
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14 Sep - 18 Sep 2026
Kampala, Uganda
5 days
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14 Sep - 18 Sep 2026
Accra, Ghana
5 days
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14 Sep - 18 Sep 2026
Kigali, Rwanda
5 days
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21 Sep - 25 Sep 2026
Nakuru, Kenya
5 days
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21 Sep - 25 Sep 2026
Dar es Salaam, Tanzania
5 days
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21 Sep - 25 Sep 2026
Johannesburg, South Africa
5 days
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21 Sep - 25 Sep 2026
Dakar, Senegal
5 days
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28 Sep - 2 Oct 2026
Kisumu, Kenya
5 days
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28 Sep - 2 Oct 2026
Arusha, Tanzania
5 days
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28 Sep - 2 Oct 2026
Pretoria, South Africa
5 days
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28 Sep - 2 Oct 2026
Cairo, Egypt
5 days
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October 2026
5 Oct - 9 Oct 2026
Nairobi, Kenya
5 days
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5 Oct - 9 Oct 2026
Dubai, United Arabs Emirates
5 days
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5 Oct - 9 Oct 2026
Zanzibar, Tanzania
5 days
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5 Oct - 9 Oct 2026
Cape Town, South Africa
5 days
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5 Oct - 9 Oct 2026
Abuja, Nigeria
5 days
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12 Oct - 16 Oct 2026
Mombasa, Kenya
5 days
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12 Oct - 16 Oct 2026
Kampala, Uganda
5 days
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12 Oct - 16 Oct 2026
Accra, Ghana
5 days
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12 Oct - 16 Oct 2026
Kigali, Rwanda
5 days
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19 Oct - 23 Oct 2026
Nakuru, Kenya
5 days
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19 Oct - 23 Oct 2026
Dar es Salaam, Tanzania
5 days
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19 Oct - 23 Oct 2026
Johannesburg, South Africa
5 days
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19 Oct - 23 Oct 2026
Dakar, Senegal
5 days
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26 Oct - 30 Oct 2026
Kisumu, Kenya
5 days
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26 Oct - 30 Oct 2026
Arusha, Tanzania
5 days
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26 Oct - 30 Oct 2026
Pretoria, South Africa
5 days
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26 Oct - 30 Oct 2026
Cairo, Egypt
5 days
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November 2026
2 Nov - 6 Nov 2026
Nairobi, Kenya
5 days
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2 Nov - 6 Nov 2026
Kampala, Uganda
5 days
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2 Nov - 6 Nov 2026
Johannesburg, South Africa
5 days
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2 Nov - 6 Nov 2026
Cairo, Egypt
5 days
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9 Nov - 13 Nov 2026
Mombasa, Kenya
5 days
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9 Nov - 13 Nov 2026
Dar es Salaam, Tanzania
5 days
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9 Nov - 13 Nov 2026
Pretoria, South Africa
5 days
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9 Nov - 13 Nov 2026
Abuja, Nigeria
5 days
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16 Nov - 20 Nov 2026
Nakuru, Kenya
5 days
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16 Nov - 20 Nov 2026
Arusha, Tanzania
5 days
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16 Nov - 20 Nov 2026
Cape Town, South Africa
5 days
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23 Nov - 27 Nov 2026
Kisumu, Kenya
5 days
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23 Nov - 27 Nov 2026
Zanzibar, Tanzania
5 days
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23 Nov - 27 Nov 2026
Kigali, Rwanda
5 days
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30 Nov - 4 Dec 2026
Dubai, United Arabs Emirates
5 days
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30 Nov - 4 Dec 2026
Accra, Ghana
5 days
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30 Nov - 4 Dec 2026
Dakar, Senegal
5 days
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December 2026
7 Dec - 11 Dec 2026
Nairobi, Kenya
5 days
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7 Dec - 11 Dec 2026
Dubai, United Arabs Emirates
5 days
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7 Dec - 11 Dec 2026
Dubai, United Arabs Emirates
5 days
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7 Dec - 11 Dec 2026
Zanzibar, Tanzania
5 days
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7 Dec - 11 Dec 2026
Zanzibar, Tanzania
5 days
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7 Dec - 11 Dec 2026
Cape Town, South Africa
5 days
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7 Dec - 11 Dec 2026
Cape Town, South Africa
5 days
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7 Dec - 11 Dec 2026
Abuja, Nigeria
5 days
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7 Dec - 11 Dec 2026
Abuja, Nigeria
5 days
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14 Dec - 18 Dec 2026
Mombasa, Kenya
5 days
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14 Dec - 18 Dec 2026
Kampala, Uganda
5 days
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14 Dec - 18 Dec 2026
Kampala, Uganda
5 days
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14 Dec - 18 Dec 2026
Accra, Ghana
5 days
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14 Dec - 18 Dec 2026
Accra, Ghana
5 days
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14 Dec - 18 Dec 2026
Kigali, Rwanda
5 days
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14 Dec - 18 Dec 2026
Kigali, Rwanda
5 days
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21 Dec - 25 Dec 2026
Nakuru, Kenya
5 days
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21 Dec - 25 Dec 2026
Dar es Salaam, Tanzania
5 days
Enroll Now
21 Dec - 25 Dec 2026
Dar es Salaam, Tanzania
5 days
Enroll Now
21 Dec - 25 Dec 2026
Johannesburg, South Africa
5 days
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21 Dec - 25 Dec 2026
Johannesburg, South Africa
5 days
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21 Dec - 25 Dec 2026
Dakar, Senegal
5 days
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21 Dec - 25 Dec 2026
Dakar, Senegal
5 days
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28 Dec - 1 Jan 2027
Kisumu, Kenya
5 days
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28 Dec - 1 Jan 2027
Arusha, Tanzania
5 days
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28 Dec - 1 Jan 2027
Arusha, Tanzania
5 days
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28 Dec - 1 Jan 2027
Pretoria, South Africa
5 days
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28 Dec - 1 Jan 2027
Pretoria, South Africa
5 days
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28 Dec - 1 Jan 2027
Cairo, Egypt
5 days
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28 Dec - 1 Jan 2027
Cairo, Egypt
5 days
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June 2026
8 Jun - 12 Jun 2026
Zoom
5 days
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15 Jun - 19 Jun 2026
Zoom
5 days
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July 2026
6 Jul - 10 Jul 2026
Zoom
5 days
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13 Jul - 17 Jul 2026
Zoom
5 days
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20 Jul - 24 Jul 2026
Zoom
5 days
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August 2026
10 Aug - 14 Aug 2026
Zoom
5 days
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17 Aug - 21 Aug 2026
Zoom
5 days
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24 Aug - 28 Aug 2026
Zoom
5 days
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September 2026
14 Sep - 18 Sep 2026
Zoom
5 days
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21 Sep - 25 Sep 2026
Zoom
5 days
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28 Sep - 2 Oct 2026
Zoom
5 days
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October 2026
19 Oct - 23 Oct 2026
Zoom
5 days
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26 Oct - 30 Oct 2026
Zoom
5 days
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November 2026
2 Nov - 6 Nov 2026
Zoom
5 days
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23 Nov - 27 Nov 2026
Zoom
5 days
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30 Nov - 4 Dec 2026
Zoom
5 days
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December 2026
7 Dec - 11 Dec 2026
Zoom
5 days
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Training Methodology

We turn knowledge into results. Using our P.E.A.K. Framework (Prepare, Engage, Apply, Know), every participant leaves with practical skills they can use immediately.

Proven Impact

In the last 12 months, over 1,200 professionals have applied the P.E.A.K. Framework to reduce onboarding time by an average of 30% and accelerate project delivery across 14 industries.

P.E.A.K Framework
Prepare: Set the context and outcomes.
Engage: Keep sessions interactive and relevant.
Apply: Practice with real scenarios and tools.
Know: Validate understanding and next steps.
Key Learning Methods
Experiential "Sandbox" Workshops
Practice real scenarios in a safe, hands-on environment.
Global & Regional Case Studies
Learn from organizations like Apple and Safaricom to uncover diverse strategies.
Interactive Peer-to-Peer Labs
Collaborate, share insights, and solve problems alongside fellow professionals.
Practical Strategy Audits
Receive expert feedback to improve your current projects.
Simulation & Role-Playing
Build confidence handling leadership, communication, and crisis situations.
Professional Toolkit
Access ready-to-use templates, SOPs, and frameworks for immediate application.
90-Day Implementation Plan
Leave with a clear, actionable roadmap for your workplace.
Post-Training Support
Up to 6 months of support, including up to three virtual follow-up sessions as needed.

The outcome: Participants don’t just learn. They gain the tools, confidence, and strategy to drive measurable impact.

Tailor-Made Training and Customization

Off-the-shelf solutions rarely fit perfectly. At ForElite Training Institute, we built our Tailor-Made Training (TMT) service to embed our expertise directly into your unique strategy, culture, and operations.

Industry Specific Case Studies

We replace generic examples with scenarios from your sector (e.g., public sector, NGOs, financial services, or logistics).

Modular Scheduling

Choose a format that fits your operations: intensive 3 day bootcamps or weekly sessions that minimize work disruption.

Internal Document Integration

We teach directly from your actual templates, brand guidelines, or financial reports.

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Training on Data Mining and Analysis FAQs

Quick answers to common questions about this course

Data mining is the process of exploring large datasets to discover patterns, correlations, and trends that can inform decision-making and predictive modeling.
It enables organizations to uncover hidden insights, improve forecasting, optimize operations, and support strategic planning across industries.
Participants will gain hands-on experience with Python, R, and Power BI, using these tools for statistical analysis, visualization, and predictive modeling.
Data exploration and preprocessing Pattern recognition and predictive modeling Visualization of insights for decision-making Translating complex data into actionable intelligence
This course is ideal for analysts, data scientists, M&E professionals, IT specialists, and policy or planning officers who rely on data to inform decisions and drive impact.
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