Data Analytics with Microsoft Excel

Master prescriptive analytics and forecasting, learning to predict trends and recommend actions using techniques like moving averages and time series analysis for improved accuracy.

Course Duration

1 day

Qualification Level

All Level

Available Schedule

Offline

Language Availability

English

*Note: This course may be rescheduled or canceled up to (14 days) before its start date. Please note that this might differ from other courses. If you need more information or assistance, feel free to [contact us]
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About This Course

Overview

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

Recommended For

Business strategists seeking to integrate data analytics into decision-making.

Prefer For Designation

All Job

Type Of Industries

All Type Of Industries

Objectives

Upon completion of the course, learner will

  1. Gain proficiency in utilizing pivot tables and charts, selecting appropriate visualization tools, and refining data presentation aesthetics for impactful communication.
  2. Develop the ability to apply structured analytical methods to business data, enhancing understanding of market trends, customer behavior, and operational performance.
  3. Acquire the skills to execute regression analysis and predictive modeling, enabling the identification of significant variables and trends for informed business forecasting.
  4. Learn to formulate prescriptive strategies and conduct forecasting analyses, using advanced techniques to project future business scenarios and outcomes.


Course Syllabus

Topic

1

Digital Analytics framework

5 Subtopics

Topic

2

Data Analytics Methods

5 Subtopics

Topic

3

Descriptive and Prediction

5 Subtopics

Topic

4

Prescriptive and Forecasting

4 Subtopics

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