Master prescriptive analytics and forecasting, learning to predict trends and recommend actions using techniques like moving averages and time series analysis for improved accuracy.
1 day
All Level
Offline
English
This expertly crafted course demystifies the Digital Analytics Framework and its pivotal role in modern business strategy. As data becomes increasingly vital in the corporate sphere, understanding how to capture, analyze, and leverage this data is crucial. Participants will explore the varying levels of data analytics, master the art of data visualization using pivot tables and charts, and learn how to make discerning color choices to convey information effectively.
From this foundation, the course advances into specific data analytics methods, where learners will discover frameworks for effective analysis, including comparison, ranking, trend and gap analysis, as well as specialized techniques like Pareto and cohort analysis. These methods are indispensable tools for interpreting data and influencing business tactics.
The journey through analytics delves into descriptive and predictive methods, focusing on the use of Excel's Data Analytics Tab. Students will gain expertise in employing regression analysis, choosing the correct variables, and establishing the best-fitting trend lines to predict future trends.
Lastly, the course culminates in a thorough understanding of prescriptive analytics and forecasting. Learners will be equipped with the skills to not only predict future trends but also recommend optimal actions, utilizing techniques such as moving averages and time series analysis to forecast with greater accuracy
Business strategists seeking to integrate data analytics into decision-making.
Upon completion of the course, learner will
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Master Excel's advanced features to enhance data analysis, dynamic reporting, and decision-making with our hands-on training course. Gain essential skills for effective business management!
Master prescriptive analytics and forecasting, learning to predict trends and recommend actions using techniques like moving averages and time series analysis for improved accuracy.
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