Getting Digital

Business Statistics & Data Analysis for Decision Making

Develop essential data science & ai skills with expert instruction and practical examples.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Master the fundamentals of data science & ai
Apply best practices and industry standards
Build practical projects to demonstrate your skills
Understand advanced concepts and techniques

Skills you'll gain:

Professional SkillsBest PracticesIndustry Standards
Prerequisites & Target Audience

Skill Level

IntermediateSome prior knowledge recommended

Requirements

Basic understanding of data science & ai
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

Professionals working in data science & ai
Students and career changers
Freelancers and consultants
Anyone looking to improve their skills
Course Information

About This Course

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.

Provider
Udemy
Estimated Duration
10-20 hours
Language
English
Category
Technology & Programming

Topics Covered

Data Science & AI

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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