Only Quality Data's aim is to guarantee outstanding data transformation, data quality and engineering, thus enabling the generation of valuable insights and opening up a world of limitless possibilities.
Only Quality Data's aim is to guarantee outstanding data transformation, data quality and engineering, thus enabling the generation of valuable insights and opening up a world of limitless possibilities.
By offering internships grounded in project-based learning methodologies, cognitive learning psychology, and the ADDIE framework, Only Quality Data, in collaboration with InnoCognia Lab, provides tuition-free, hands-on training in high-demand data science and business analytics skills. This initiative seeks to bridge the gap between academic knowledge and real-world application; empowering African graduates and tertiary students worldwide with the practical expertise needed to boost their employability and excel in the global workforce.
Testimonials
At Only Quality Data (OQD), our mission of "Building a Generation of Data-Tech Experts" speaks to our commitment to empowering individuals with the skills and knowledge necessary to thrive in the evolving landscape of data and technology. This mission underscores our belief that the future of innovation lies in the hands of those who can harness the power of data and technology to solve complex problems, drive business decisions, and lead transformational change.
The Data & Business Analytics Training Program offered by Only Quality Data (OQD) is a initiative designed to equip aspiring data professionals with the essential skills and knowledge needed to thrive in the data-driven business landscape. In this internship program, you will be required to utilize tools such as Microsoft Excel, Power BI, Perplexity AI, Copilot or ChatGPT to undertake and complete six (6) data analytics projects:
1. Prepare Zeno Mega-Store’s Sales Data for Analysis using Power Query.
2. Clean, transform, and analyze Quantium Client’s Transaction Data. Conduct analysis on customers transaction dataset and identify customer purchasing behaviors to generate insights and provide commercial recommendations.
3. Build a simple ‘Sales Performance Dashboard’ for ExpressMart in Microsoft Excel.
4. Biliv-Augmenta Employee-Attrition-Analysis
5. Customer-Attrition Analysis: Analyze customer churn dataset from a telecom company called Vertex Mobile Net to optimize strategies aimed at boosting customer retention.
6. Nebulon Financial Performance Analysis.
Click on the link below to embark on your Data Analytics journey through our Project-Based Learning (PBL) implementation now.
Microsoft Excel for Business Intelligence & Analytics
In this part of the training, you will master the powerful features of Microsoft Excel, a leading tool in data analytics. The course begins with an introduction to Microsoft Excel and an exploration of its key features. You will then gain proficiency in using Power Query to prepare Zeno Mega-Store’s sales data for analysis, ensuring data quality and integrity.
Next, you will learn to clean, transform, and analyze Quantium Client’s transaction data to identify customer purchasing behaviors, generate insights, and provide commercial recommendations. Finally, you will build a simple yet effective 'Sales Performance Dashboard' for ExpressMart using Microsoft Excel.
Microsoft Power BI is a powerful analytics tool that has become essential for business analytics, financial analysis and reporting. By leveraging Power BI, financial and business analysts can transform their raw data into actionable insights by evaluating the financial performance of businesses, customer purchasing patterns, budgets, customer attrition and other finance-related entities to determine their performance and sustainability by conducting a thorough exploratory data analysis of historical sales data, profit margins, analyzing income statements and expense trends.
By the end of the internship training, you will have completed the following data analytics projects using Microsoft Power BI: Biliv-Augmenta Employee Attrition Analysis, Telecom Churn, and Nebulon Financial Data Analysis.
In this digital age where data is the new oil, the potential of AI-driven analytics is enormous. Leveraging Perplexity AI, Microsoft Copilot & ChatGPT for data analytics offers a transformative approach to interpreting and analyzing business data, enabling more efficient and insightful decision-making processes.
Its advanced natural language processing capabilities allow for intuitive querying and understanding of complex data patterns, bridging the gap between technical data analysis, insight generation and business strategy formulation & implementation.
By integrating Generative AI into business intelligence tools and your data analysis processes, data professionals and companies can unlock new levels of data-driven innovation, making data more accessible and actionable for stakeholders at all levels.
The data analytics training program challenged me in ways I did not expect and it truly encouraged me to change the way I think and approach the business side of analytics. The practical examples and case studies offered valuable insight into real-world applications, helping me envision potential career paths within the data analytics domain. The course provided a perfect blend of simplicity and comprehensiveness, making it ideal for anyone seeking to build their data and business analytics skills.
LinkedIn - Mashkuratu Alhassan Dimbala: https://www.linkedin.com/in/mashkuratu/
At Only Quality Data, we believe in more than just training—we believe in transformation. For every training program we conduct, we select 2 or 3 of the top-performing trainees who stand out for their dedication and potential. These selected individuals are directly mentored by seasoned professionals and are given the opportunity to work on real-world projects. This hands-on experience not only enhances their learning but also significantly contributes to their career advancement. Our aim is to ensure that you gain meaningful, practical experience and develop skills that will serve as a strong foundation for your future career.
Learning Outcomes
By the end of the Data and Business Training Program, trainees will be able to:
Prepare Data for Analysis:
Utilize Microsoft Power Query to prepare and clean complex datasets, such as ZenoMart Sales Data, for analysis.
Clean, transform, and analyze transaction data to extract meaningful insights and identify patterns in customer purchasing behavior.
Data Visualization and Reporting:
Build interactive and insightful dashboards, such as a "Sales Performance Dashboard" for ExpressMart, using Microsoft Excel.
Develop dynamic reports and visualizations to represent employee attrition data and other key metrics using Microsoft Power BI.
3. Advanced Analytical Techniques:
Apply advanced data analytics techniques to analyze Biliv-Augmenta Employee Attrition Data and provide actionable insights to improve employee retention.
Conduct customer churn analysis on telecom datasets, such as Vertex Mobile Net, to develop strategies aimed at reducing churn and enhancing customer retention.
4. Tool Proficiency:
Demonstrate proficiency in using essential data analytics tools, including Microsoft Excel, Power BI, Perplexity AI, and Copilot or ChatGPT, to solve real-world business problems.
Efficiently leverage AI-driven tools to augment data analysis processes and improve the accuracy and efficiency of insights generation.