Advanced Business Analytics
Transform complex data into actionable business insights
Course Overview
Our Advanced Business Analytics course is designed for professionals who want to elevate their analytical capabilities and harness the power of data to drive strategic business decisions.
In today's data-driven business environment, the ability to analyze complex information and translate it into actionable insights is invaluable. This comprehensive 10-week program builds on foundational business analysis skills, introducing you to advanced data analysis techniques, visualization tools, and predictive modeling concepts.
Whether you're already working in business analysis and want to expand your skill set, or you're looking to specialize in the growing field of business analytics, this course will provide you with the techniques and practical experience needed to excel in roles that bridge business objectives with data-driven insights.
Duration
10 weeks (40 hours of instruction)
Format
Instructor-led sessions, workshops, and hands-on projects
Prerequisites
Foundation Course or equivalent experience
Assessment
Data analysis projects and case studies
Course Highlights
- Advanced data analysis techniques
- SQL and database fundamentals
- Data visualization principles and tools
- Statistical analysis for business insights
- Introduction to predictive analytics
- Industry-relevant case studies
- Real-world analytics project
What You'll Learn
Advanced Data Analysis
Develop expertise in analyzing complex datasets using advanced Excel functions, pivot tables, and data manipulation techniques to extract meaningful business insights.
SQL & Database Fundamentals
Master the basics of SQL to efficiently query databases, join tables, and extract relevant data. Understand database structures and how they support business operations.
Data Visualization
Learn how to create compelling visual representations of data using tools like Tableau and Power BI. Understand data visualization principles to effectively communicate insights to stakeholders.
Statistical Analysis
Apply statistical concepts and methods to business data to identify patterns, trends, and correlations. Learn to conduct hypothesis testing and regression analysis to support decision-making.
Predictive Analytics
Gain an introduction to predictive modeling techniques and their applications in business. Learn the basics of forecasting, classification, and clustering to anticipate future trends and behaviors.
Business Metrics & KPIs
Understand how to develop and analyze key performance indicators that align with business objectives. Learn to create dashboards and reports that track and communicate business performance effectively.
Tools & Technologies
Gain hands-on experience with industry-standard analytics tools
Advanced Excel
Master advanced functions, pivot tables, and data analysis tools in Excel for efficient data processing and analysis.
SQL
Learn practical SQL skills to query databases, extract relevant data, and perform join operations across tables.
Tableau
Develop skills in creating interactive visualizations and dashboards to effectively communicate insights from data.
Power BI
Learn Microsoft's powerful business intelligence tool for creating interactive reports and business dashboards.
R (Introduction)
Get a basic introduction to the R programming language for statistical analysis and data visualization.
Google Analytics
Understand how to extract and analyze website data to derive insights about user behavior and digital marketing effectiveness.
Course Curriculum
A comprehensive 10-module program covering essential business analytics skills
Business Analytics Fundamentals
Introduction to the field of business analytics, its importance, and how it differs from traditional business analysis. Overview of the analytics lifecycle and key methodologies.
Module Content
- The analytics value chain
- Descriptive, diagnostic, predictive, and prescriptive analytics
- Analytics process models and frameworks
- Role of the business analyst in data-driven decision making
Statistical Concepts for Business Analysis
Essential statistical concepts and methods for analyzing business data. Learn to apply descriptive and inferential statistics to extract meaningful insights from data.
Module Content
- Descriptive statistics (mean, median, mode, standard deviation)
- Probability distributions and their applications
- Hypothesis testing and confidence intervals
- Correlation analysis and interpretation
Advanced Excel for Data Analysis
Master advanced Excel functions and tools for sophisticated data analysis, including pivot tables, lookup functions, and data modeling techniques.
Module Content
- Advanced functions (VLOOKUP, INDEX-MATCH, SUMIFS, etc.)
- PivotTables and PivotCharts for data analysis
- Data cleaning and preparation techniques
- Power Query for data transformation
SQL and Database Fundamentals
Develop practical SQL skills to efficiently query databases, extract relevant data, and join tables. Understand database structures and their importance in business analytics.
Module Content
- Database concepts and terminology
- SQL queries for data retrieval (SELECT, WHERE, GROUP BY)
- Joining tables and relationship types
- Aggregation functions and subqueries
Data Preparation and Quality
Learn essential techniques for preparing data for analysis, including data cleaning, transformation, and quality assessment methods to ensure reliable analytical results.
Module Content
- Data quality dimensions and assessment
- Handling missing data and outliers
- Data normalization and standardization
- ETL (Extract, Transform, Load) concepts
Data Visualization Principles
Learn the fundamental principles of effective data visualization to communicate insights clearly. Understand how to select the appropriate visualization type for different data scenarios.
Module Content
- Visual perception and cognition
- Chart and graph types and their appropriate uses
- Color theory and design principles
- Designing for different audiences and purposes
Tableau for Data Visualization
Develop skills in using Tableau to create interactive visualizations and dashboards. Learn how to connect to data sources, design visualizations, and build compelling dashboards.
Module Content
- Tableau interface and data connection
- Creating various chart types and maps
- Building interactive dashboards
- Sharing and publishing visualizations
Power BI Fundamentals
Learn the basics of Microsoft Power BI for creating interactive reports and dashboards. Explore data modeling, visualization, and sharing capabilities in this powerful business intelligence tool.
Module Content
- Power BI Desktop overview and data connections
- Data modeling and DAX (Data Analysis Expressions)
- Creating reports and visualizations
- Publishing and sharing in Power BI Service
Introduction to Predictive Analytics
Gain an introduction to predictive modeling concepts and techniques. Learn the basics of forecasting, classification, and clustering to anticipate future trends and behaviors.
Module Content
- Predictive modeling concepts and process
- Linear and logistic regression
- Time series forecasting basics
- Model evaluation and interpretation
Analytics Capstone Project
Apply all the skills and techniques learned throughout the course to a comprehensive business analytics project. Work with real-world data to solve a business problem and present your findings.
Module Content
- Project planning and scoping
- Data collection and preparation
- Analysis and visualization
- Presenting findings and recommendations
Real-World Application
Case Study: Retail Analytics Transformation
In this course, you'll work through a comprehensive case study based on a real retail company in Cyprus that needed to transform their approach to data analysis. Throughout the modules, you'll apply different techniques to address various aspects of this case:
The Challenge
A retail chain with multiple locations across Cyprus was struggling with inventory management, pricing optimization, and customer retention. They had data from their point-of-sale systems, customer loyalty program, and website, but were struggling to turn this information into actionable insights.
The Approach
Throughout the course, you'll learn how to approach this challenge systematically:
- Cleaning and integrating data from multiple sources
- Creating a centralized database and querying it with SQL
- Developing interactive dashboards for sales, inventory, and customer metrics
- Building predictive models for inventory forecasting and customer churn
The Results
By applying the techniques taught in this course, the retailer achieved:
- 23% reduction in inventory costs through optimized stocking levels
- 18% increase in customer retention through targeted marketing campaigns
- 15% improvement in profit margins through data-driven pricing strategies
This case study provides a framework for your own capstone project, where you'll have the opportunity to apply these skills to a business challenge of your choice.
Meet Your Lead Instructor
Eliska Dmitrianova
Data Science and Analytics expert with over 12 years of experience in transforming complex business data into actionable insights. Previously led analytics teams at multinational corporations and has consulted for businesses across various sectors in Nordtheria.
Expertise:
"My passion is helping professionals develop the analytical skills that will set them apart in today's data-driven business environment. I believe in hands-on learning with real business problems, so you'll not just understand the theory but be able to apply these techniques immediately in your organization."
Frequently Asked Questions
Everything you need to know about our Advanced Business Analytics Course
This course is designed for individuals who already have a foundation in business analysis. You should have completed our Foundation Course or have equivalent experience (1-2 years in a business analysis role). Basic proficiency with Excel and a general understanding of data analysis concepts are recommended. No prior programming experience is required.
This course introduces technical concepts gradually and in a business context. You'll learn SQL for database queries and get an introduction to some basic programming concepts, but the focus is on application rather than advanced coding. We provide step-by-step guidance for all technical components, making them accessible even for those without a technical background.
Yes, we provide educational licenses for all software used in the course, including Tableau, Power BI, and SQL database environments. These licenses are valid for the duration of the course and for a period afterward to complete your projects. We also direct you to free or trial versions that you can use long-term if needed.
Assessment is based on practical assignments and a final capstone project. Throughout the course, you'll complete hands-on exercises applying the techniques to real-world scenarios. The capstone project involves addressing a business challenge using the full analytics lifecycle. There are no formal exams, but active participation and demonstration of applied skills are essential for course completion.
This course prepares you for roles such as Business Analyst, Data Analyst, Business Intelligence Analyst, and Analytics Specialist. Graduates have successfully transitioned into organizations across various sectors in Cyprus, including financial services, retail, hospitality, and technology. The data analysis and visualization skills are highly transferable and increasingly in demand as organizations in Cyprus embrace data-driven decision making.
Yes, we offer ongoing support through our alumni network, which includes regular meetups, webinars, and networking events with industry professionals. You'll have lifetime access to our online learning resources and course materials. Additionally, we provide career support services including portfolio reviews, job opportunity alerts, and interview preparation specific to analytics roles in the Cypriot market.
Elevate Your Analytics Skills in Cyprus's Growing Data Economy
As Cyprus continues its trajectory toward a knowledge-based economy, the demand for professionals who can extract meaningful insights from data has never been higher. Organizations across all sectors—from the island's robust financial services industry to its growing technology sector and traditional strengths in tourism and real estate—are increasingly recognizing that their competitive advantage lies in their ability to harness data effectively.
Our Advanced Business Analytics course has been specifically designed to address the unique needs of the Cypriot business landscape. While incorporating global best practices and standards, we place special emphasis on the analytics challenges and opportunities that are particularly relevant to Cyprus's economic structure and regulatory environment.
What sets our approach apart is the balance we strike between technical proficiency and business acumen. While many analytics courses focus exclusively on tools and techniques, we ensure that you understand not just the "how" but the "why" of business analytics. This holistic perspective enables you to connect analytical processes directly to business outcomes, making you an invaluable asset to any organization.
The course curriculum draws on real case studies from Cypriot businesses that have successfully leveraged analytics to transform their operations. These practical examples demonstrate how analytics has been applied to address challenges such as seasonal demand fluctuations in the tourism sector, regulatory compliance in financial services, and market expansion strategies for local businesses entering international markets.
Beyond technical skills, we also emphasize the communication and storytelling aspects of analytics. The ability to translate complex analytical findings into clear, actionable recommendations for stakeholders is what truly distinguishes exceptional business analysts. Through presentation exercises and stakeholder communication workshops, you'll develop this crucial skill set that employers consistently identify as being in short supply.
The employment outlook for analytics professionals in Cyprus is exceptionally promising. Our graduates report an average salary increase of 38% after completing the program, with many advancing to senior analytical roles within a year of graduation. Local employers specifically seek out our alumni for their unique combination of technical expertise and business understanding.
Whether you're looking to specialize in business analytics, add quantitative skills to your existing business analysis toolkit, or lead data-driven initiatives within your organization, our Advanced Business Analytics course provides the perfect blend of theoretical knowledge and practical application to accelerate your career in Cyprus's evolving data economy.
Enroll in Advanced Business Analytics
Secure your spot in our upcoming cohort and take your data analysis skills to the next level
Course Details
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Next Start Date:
July 15, 2025
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Schedule:
Mondays & Wednesdays, 6:00 - 8:00 PM
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Tuition:
€1,295 (Payment plans available)
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Guarantee:
14-day satisfaction guarantee
What's Included
- 40 hours of expert-led instruction
- Software licenses (Tableau, Power BI)
- Real-world analytics projects
- Comprehensive course materials
- 1:1 mentoring sessions
- Course completion certificate
- Career support services