• views: 155
• date: 6 June 2025
• posted by: 0nelove

What you'll learn
Understand the importance of statistics and data analytics in business decision-making
Apply a structured data analytics process to solve business problems
Use descriptive statistics to summarize and interpret business data
Create and interpret business data visualizations such as bar charts, pie charts, and line graphs
Build and evaluate predictive models using regression analysis and moving averages
Translate data insights into informed business decisions and strategies
Requirements
No previous experience needed for this course. You will learn everything you need to know
Description
If you are interested in learning how to use data to make smarter business decisions, then this course is perfect for you!In today's world, data is everywhere — but knowing how to extract meaningful insights from that data is a true business superpower. This course will equip you with the practical skills to apply business statistics and data analytics using Microsoft Excel — no prior experience needed.In this course, you will learn everything you need to know about business statistics and analytics — from understanding data types and visualizing data to applying statistical models for forecasting and decision-making. You'll also develop hands-on experience by working through real-world business scenarios using Excel. Here are some key benefits of this course:Gain a clear understanding of how data is used in real-world business decisionsLearn descriptive statistics, charts, pivot tables, and forecasting tools using ExcelUnderstand key analytics techniques like regression, trend analysis, and moving averagesDevelop practical Excel skills through case studies and hands-on business examplesWhat's covered in this course?Statistics and data analytics are essential in fields like marketing, operations, HR, and finance. In this course, you will learn how to:Identify and classify business data into qualitative and quantitative typesApply the data analytics process: from problem definition to decision-makingUse descriptive statistics (mean, median, mode, variance, standard deviation) to summarize performanceVisualize data through bar charts, pie charts, line graphs, tables, and pivot tablesPerform predictive analytics using regression models and moving averagesInterpret trends, seasonality, and anomalies in business dataSolve business problems using Excel — with guided examples, templates, and exercisesYou'll also work through case studies to practice applying concepts in real-life contexts — like analyzing customer spending in a coffee chain or forecasting sales for a retail brand. These projects will give you the confidence to use Excel for business analysis in your day-to-day work.What makes us qualified to teach you?The course is taught by Ananya. She is a retail professional in the domain of Project Management and Strategy with an experience of over 7 years. She has previously worked for some of the leading retail chains in India. She also holds a MBA from Indian Institute of Management, Ahmedabad in General Management.Our PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, Excel exercises, or business examples, you can post in the course Q&A or reach out directly — we're here to support your learning journey.Don't miss out on this opportunity to master business statistics and analytics with Excel. Enroll now and start transforming data into decisions!
Who this course is for
Ideal for business analysts, project managers, team leads, and professionals involved in data-driven decision-making across functions like marketing, operations, and finance
Also suitable for beginners seeking a foundational understanding of business statistics and data analytics
Homepage

https://www.udemy.com/course/data-analysis-for-decision-making/

   
   
   

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