Data Analytics with Microsoft Excel

Unlock the Potential of Data Analytics with Microsoft Excel

In today's data-driven landscape, the ability to analyze and leverage data effectively is a game-changer for businesses. This expertly designed course provides participants with a deep understanding of the Digital Analytics Framework, emphasizing its role in crafting robust business strategies. Learners will master fundamental data analytics skills, including creating pivot tables and charts, selecting the right visual tools, and using colors effectively to enhance communication impact.

From Foundational Techniques to Advanced Forecasting

The course takes participants on a journey through advanced data analytics methods. Key topics include trend and gap analysis, Pareto analysis, and cohort analysis, essential for uncovering actionable insights. As the course progresses, learners will delve into predictive and prescriptive analytics, using Excel's Data Analytics Tab to execute regression analysis, build predictive models, and project future trends with tools like moving averages and time series analysis. By the end of this course, participants will possess the skills to transform raw data into compelling insights, driving strategic business decisions.

Upon completion of the course, learner will...

• Gain proficiency in using pivot tables and charts, with a strong emphasis on effective data visualization and presentation techniques.
• Apply structured analytical methods to interpret business data, focusing on comparison, ranking, and trend analysis.
• Execute regression analysis and predictive modeling to identify key variables and project future trends.
• Formulate prescriptive strategies and optimize decision-making using advanced forecasting techniques, such as time series analysis and moving averages.

• Business strategists seeking to leverage data for more informed decision-making.
• Data analysts looking to refine their skills in analytics and visualization.
• Marketing professionals aiming to optimize strategies through data-driven insights.
• Operations managers interested in improving processes with data-backed solutions.
• Financial analysts requiring advanced techniques for forecasting and planning

"With concise and clear delivery, the trainer effectively covered predictive and prescriptive forecasting using large data sets."

-Randolph Perez, Singapore Prison Service (2024)

"Patient and thorough, the trainer ensures everyone is on track, making everything in the workshop highly useful."

-Siti Saleha, ICA (2024)

"The trainer is excellent at simplifying complex statistical concepts and emphasising practical application, making everything in the workshop highly useful."

-Yong Kang, ST Telemedia (2024)

Dwight Fonseka: Expert in Data Analytics and Predictive Modeling

Dwight Fonseka is a seasoned data analytics professional with a robust academic and industry background. He holds a Master's in Education from NTU, a degree in Biotechnology from NUS, and an Advanced Diploma in Pharmaceutical Management from MDIS. Since 2014, Dwight has specialized in data analytics, honing his expertise in big data, machine learning, predictive modeling, and data storytelling.

Currently serving as a Senior Data Analyst, Dwight excels in building predictive models and utilizing tools like R, Python, and advanced machine learning libraries, including Keras and h2oAI. His unique blend of academic rigor and practical experience has made him a sought-after trainer, empowering professionals across industries to derive meaningful insights from complex datasets and drive impactful business decisions.