Microsoft Excel for Data Analytics Statistics and Dashboard

https://www.udemy.com/course/microsoft-excel-for-data-analytics-statistics-and-dashboard/

Unleash Excel for Data Cleaning, Data Analytics, Statistical Analysis, Hypothesis Testing and Interactive Dashboard.


What you'll learn:
Understand and apply techniques for cleaning and preparing raw data in Excel.
Learn to identify and handle missing data, outliers, and inconsistencies.
Utilize Excel functions and tools for data validation and transformation.
Explore fundamental statistical concepts and their application in Excel.
Learn to perform descriptive statistics, inferential statistics, and hypothesis testing using Excel functions and tools.
Understand how to interpret and communicate statistical results effectively.
Design and build interactive dashboards in Excel for effective data visualization.
Learn to use PivotTables, PivotCharts, and slicers to create dynamic and user-friendly dashboards.
Explore various data visualization techniques available in Excel, including charts, graphs.


Requirements:
Microsoft Excel
Desire to learn


Description:
Unlock the full potential of Microsoft Excel as a powerful tool for data analytics, statistical analysis, and interactive dashboard creation. This comprehensive course will equip you with the skills and knowledge needed to harness Excel's capabilities for data cleaning, statistical insights, and dynamic visualization. This course combines hands-on practical exercises, and interactive sessions to ensure participants gain a thorough understanding of data analytics, statistics, and dashboard creation using Microsoft Excel.Key Learning Objectives:Data Cleaning and Preparation:Techniques for identifying and addressing missing data, outliers, and inconsistencies.Utilizing Excel functions and tools for effective data validation and transformation.Statistical Analysis:Exploring fundamental statistical concepts applicable in Excel.Performing descriptive statistics and inferential statistics using Excel functions.Conducting hypothesis testing to make data-driven decisions.Interpretation and Communication:Developing the ability to interpret statistical results accurately.Effectively communicating insights derived from data analysis.Interactive Dashboard Design:Building dynamic and user-friendly dashboards in Excel.Mastering PivotTables, PivotCharts, and slicers for interactive data exploration.Incorporating various data visualization techniques, including charts and graphs.By enrolling now, you will be able to unleash the full potential of Excel for data-driven decision-making and improve your ability to translate raw data into actionable insights through the use of engaging visuals.


Who this course is for:
Data analysis enthusiast
Excel enthusiast



Microsoft Excel for Data Analytics Statistics and Dashboard









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