Business Analytics and Intelligence Course

This course is designed to provide participants with a comprehensive understanding of Business Analytics and Intelligence using Tableau.

It covers the essential concepts, tools, and techniques needed to transform data into actionable insights.

Participants will learn how to use Tableau to create interactive and shareable dashboards, which can be used to drive data-driven decision-making within their organizations.

The course will also explore advanced features of Tableau, including data blending, calculations, and mapping, to enhance analytical capabilities.

Duration

5 days

Who Should Attend

1. Business analysts
2. Data analysts
3. Business intelligence professionals
4. Financial analysts
5. Marketing analysts
6. IT professionals
7. Project managers
8. Decision-makers and executives

Organizational Impact

1. Data-driven decision-making
2. Enhanced business intelligence capabilities
3. Streamlined analytics processes
4. Improved reporting efficiency
5. Increased competitive advantage
6. Better data insights across departments

Personal Impact

1. Proficiency in Tableau for business analytics
2. Advanced data interpretation skills
3. Enhanced career prospects
4. Ability to create impactful visual reports
5. Improved problem-solving abilities through data analysis

Course Objectives

1. Understand the fundamentals of business analytics and intelligence.
2. Navigate the Tableau interface.
3. Connect and prepare data in Tableau.
4. Create and manage data visualizations.
5. Perform advanced data analysis.
6. Develop interactive dashboards.
7. Share and publish Tableau workbooks.
8. Implement best practices in data visualization.
9. Explore advanced features and functionalities.
10. Apply business analytics techniques.

Course Outline

Module 1: Introduction to Tableau

1. Working with the Tableau interface
2. Understand how to connect to various data sources
3. Managing metadata and Extracts
4. Data blending
5. Working with sets, Fields, and Groups
6. Parameter Control
7. Connecting to PDFs and Cubes
8. Working with various calculations in Tableau
9. Case Study: Creating a Sales Dashboard for a Retail Chain by Integrating Multiple Data Sources

Module 2: Visualization using Tableau

1. Understanding the Formatting pane
2. Understanding tooltips
3. Working with Trend and References lines
4. Working with Bar charts and Pie charts
5. Work with Pareto charts, scatter plots, and Histograms
6. Creating Tree maps
7. Understand the use of Clusters
8. Case Study: Analyzing and Visualizing Marketing Campaign Performance for a Tech Startup

Module 3: Advanced Tableau Charts

1. Creating and working with text tables and Highlight tables
2. Work with motion charts and Bump Charts
3. Working with map charts and area charts
4. Working with filters and sorting data
5. Create Donut charts and waterfall charts
6. Understand the concept of Drill Down and up
7. Forecast using various tools In Tableau
8. Case Study: Developing an Advanced Financial Dashboard for Quarterly Business Review

Module 4: Customer Analytics

1. Introduction to Customer analytics
2. Descriptive Analysis
3. Regression models for Predictive Analysis
4. Prescriptive Analysis
5. Real World Application
6. Case Study: Applying Customer Segmentation Techniques to Improve Targeted Marketing Strategies for an E-commerce Platform

Module 5: Pricing Analytics

1. Pricing techniques
2. Net present value capital Budgeting model
3. Price Evaluation
4. Working with Price Elasticity and Optimal Pricing
5. Demand curve
6. Case Study: Developing a Dynamic Pricing Model for a Subscription-Based SaaS Product

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2. Strategic Training Course Workshop on Service Delivery Surveys
3. Complete Data Protection and Privacy Training Course
4. Data Visualization with Python and Power BI Training Course
5. Neural Networks in Machine Learning for Data Scientist in Theano Training Course
6. Effective Data Analysis and Reporting Course Training Course

Course Administration Details

Methodology

The instructor-led trainings are delivered using a blended learning approach and comprise presentations, guided sessions of practical exercise, web-based tutorials, and group work.

Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields.

All facilitation and course materials will be offered in English. Therefore, the participants should be reasonably proficient in English.

Accreditation

Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

Training Venue

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. 

In addition to our training in Kenya (Nairobi, Mombasa, Kisumu, Nakuru, and Naivasha), we conduct training in the following locations:

1. Dubai - United Arab Emirates
2. Cairo - Egypt
3. Johannesburg, Pretoria, and Cape Town - South Africa
4. Arusha, Zanzibar, and Dar-es-Salaam - Tanzania
5. Kigali - Rwanda
6. Accra - Ghana
7. Kampala - Uganda

Accommodation and Airport Transfer

Accommodation and airport transfer can be arranged upon request.

For reservations, kindly contact us on:

• Email: [email protected]
• Phone: +254715 077 817

Tailor-Made Program

Upon request, this training can be customized to suit the needs of you or your institution.

You can have it delivered at our IRES Training Centre or at a convenient location.

For further inquiries, please contact us on:

• Email: [email protected]
• Phone: +254715 077 817