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About The Course

Course Description

Business Intelligence and Data Science greatly influence today’s companies, industries and cultures, and their ability to generate insights in this area. As such, having knowledge in these domains is crucial to your organization’s success as well as to your own personal development. This Training Course on Business Intelligence Analysis and Data Science offered by Phoenix Center for Policy, Research and Training will bring together the analytical tools and skills you can use to identify, explore and assess the challenges and prospects that business intelligence and data science can bring to your organization. You will discover how these trends can be addressed through sustainability-oriented innovation and real-world case studies. You will also learn essential data analytics ideologies such as systems thinking, multi-level perspectives and multidisciplinary methods and understand how to apply them to any particular obstacles that your organization may face.

This Training Course on Business Intelligence Analysis and Data Science offered by Phoenix Center for Policy, Research and Training will also encourage you to focus on skills that have always been in demand, such as teamwork, cooperation with various stakeholders and responsibility for choices made using other methods of decision-making. This course will allow participants to work with real-life business intelligence and data science examples using easy-to-understand explanations, create engaging visualizations, take part in exercises, and share course notes and other materials. We guarantee to provide support whenever necessary to enhance your overall experience.

This Training Course on Business Intelligence Analysis and Data Science offered by Phoenix Center for Policy, Research and Training will also empower you to be independent and dig deeper into data to obtain answers to questions that might improve the way your organization does its business.

Course Objectives

Upon the successful completion of this Training Course on Business Intelligence Analysis and Data Science, participants will be able to:

  • Gather, organize, analyze and visualize data
  • Use data for improved business decision-making
  • Represent data as informational metrics, reports, dashboards, and KPIs
  • Perform quantitative and qualitative business analysis
  • Analyze current and historical data
  • Understand how to discover trends, market conditions, and perform competitor analysis using data
  • Understand the fundamentals of data that leads to the science behind it
  • Solve real-world business analysis tasks

Training Methodology

The course is designed to be highly interactive, challenging and stimulating. It will be an instructor led training and will be delivered using a blended learning approach comprising of presentations, discussions, guided sessions of practical exercise, case study review, web-based tutorials, group work, exploration of relevant issues collaborative strength training, performance measurement, and workshops of participants’ displays, all of which adhere to the highest standards of training. The training technique is built on learning by doing, with lecturers using a learner-centered approach to engage participants and provide tasks that allow them to apply what they’ve learned. Experiential knowledge is also given equal importance within the format of training. Our facilitators are seasoned industry professionals with years of expertise in their chosen fields. All facilitation and course materials will be offered in English.

Who Should Attend?

This Training Course on Agriculture Entrepreneurship, Business Plan and Innovation would be suitable for, but not limited to:

  • Programmers and Data Science Enthusiasts
  • Individuals enthusiastic about the field of business intelligence or data science
  • Programmers who want to develop business reasoning to solve various business problems
  • Professionals in Business Intelligence Analysis or Data Science

Course Content

Module 1: Basics of Insight Generation
  • Data analytics is the new sliced bread
  • Data value chain
  • Tools for generating insights
  • Business intelligence and data mining
Module 2: Different Data Science Fields
  • Analysis vs analytics
  • Why are there so many data science catchwords?
  • Introduction to Business Analytics
  • Introduction to Data Analytics
  • Introduction to Data Science
  • Introduction to:
    • Business Intelligence (BI),
    • Machine Learning (ML),
    • Artificial Intelligence (AI)
  • BI vs. ML vs. AI – Key Characteristics and Differences
Module 3: Introduction To Data and Data Science
  • What is data science?
  • History of data vs. information vs. data science
  • What is the purpose of data science fields?
  • Why do we need data science disciplines?
Module 4: Common Data Science Techniques
  • Traditional Data: Techniques
  • Traditional Data: Real-life Examples
  • Big Data: Techniques
  • Big Data: Real-life Examples
  • Business Intelligence (BI): Techniques
  • Business Intelligence (BI): Real-life Examples
  • Traditional Methods: Techniques
  • Traditional Methods: Real-life Examples
  • Machine Learning (ML): Techniques
  • Machine Learning (ML): Types of Machine Learning
  • Machine Learning (ML): Real-life Examples
Module 5: Common Data Science Tools
  • Tools in business intelligence analytics and data science
  • Data Science Jobs: What do they involve and what to look out for?
  • Dispelling common misconceptions
  • Population vs sample
Module 6: Basic Statistics – Foundations of Quantitative Insights
  • Basic statistics
  • Types of variables
  • Measures of central tendency
  • Measures of dispersion
Module 7: Normal Distribution and Histograms
  • Normal distribution and histograms
  • The Empirical rule
  • Covariance and Correlation
Module 8: Data Visualization
  • Data visualization and Anscombe’s Quartet
  • Data Cleaning using Tableau
  • Bar chart and heat maps
Module 9: Advanced Charts and Dashboards
  • Bar in bar graph and bullet graph visualization
  • Generating insights from social media data
  • Dashboards
Module 10: Demand Forecasting
  • Regression analysis
  • Demand forecasting
  • Demand forecasting & smoothing methods


  • Participants should be reasonably proficient in English.
  • Applicants must live up to Phoenix Center for Policy, Research and Training admission criteria.


  1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free
  2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.
  3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.
  4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.
  5. Approval of Course: Our Programs are NITA Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

How to Book: Simply send an email to the Training Officer on and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254737566961

Payment Options: We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

  1. Groups of 5 People and Above – Cheque Payments to: Phoenix Center for Policy, Research and Training Limited should be paid in advance, 5 days to the training.
  2. Invoice: We can send a bill directly to you or your company.
  3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

  1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.
  2. Participants may cancel attendance 14 days or more prior to the training commencement date.
  3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254720272325 / +254737566961 or Email  

Accommodation: Accommodation is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: or on Tel: +254720272325 / +254737566961

Start To Learn

5 Days


Course Duration

5 Days

Course Price

USD 990

Training Calendar

2024 Training Calendar

Start Date
End Date