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Business Analytics Bootcamp - Complete Mastery - OneDDL - 09-25-2024
![[Image: abaa4196a88d681f2933b4c4ea54a9e4.jpeg]](https://i124.fastpic.org/big/2024/0925/e4/abaa4196a88d681f2933b4c4ea54a9e4.jpeg)
Free Download Business Analytics Bootcamp - Complete Mastery
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 913.41 MB | Duration: 1h 6m
Learn 424 ways in which you can analyze metrics generated by the 7 critical business functions in any business
What you'll learn
424 different ways to analyze metrics generated by different business functions
108 ways to analyze metrics generated by the Distribution Function in any business
76 ways to analyze metrics generated by the Marketing Function in any business
74 ways to analyze metrics generated by the Sales Function in any business
64 ways to analyze metrics generated by the Accounting Function in any business
45 ways to analyze metrics generated by the Customer Support Function in any business
31 ways to analyze metrics generated by the Human Resources Function in any business
23 ways to analyze metrics generated by the Sourcing & Procurement Function in any business
3 important statements to analyze metrics generated by the Finance Function in any business
Become Cross-functional experts and professionals
Requirements
No prior Business academic experience required
No prior Analytics experience required
Description
This is not just another Business Analytics course. This course focuses more on WHAT different metrics generated by a business day in and day out must be analyzed to comprehend business performance rather than HOW. If we don't know WHAT to measure, will there be anything to improve? In this course, I have handpicked 424 different ways to analyze metrics generated by different business functions. In this course, learners will comprehend -108 ways to analyze metrics generated by the Distribution Function in any business76 ways to analyze metrics generated by the Marketing Function in any business74 ways to analyze metrics generated by the Sales Function in any business64 ways to analyze metrics generated by the Accounting Function in any business45 ways to analyze metrics generated by the Customer Support Function in any business31 ways to analyze metrics generated by the Human Resources Function in any business23 ways to analyze metrics generated by the Sourcing & Procurement Function in any business3 important statements to analyze metrics generated by the Finance Function in any businessThis course will enable learners to become Cross-functional experts and professionalsNo prior business academic experience or prior analytics experience is required for this course.The audience for this course ranges from -Technology Professionals & Technology StudentsBusiness Professionals and Business studentsEntrepreneurs and Business OwnersTechnology CXOs, Leaders, and ManagersEngineering Professionals & Engineering StudentsBudding EntrepreneursStartup Founders, CXOs, Leaders and ManagersData Analysts, Business Analysts, and Data professionalsTo anyone who wants to learn about Business Analytics per se.
Overview
Section 1: Introduction to Business Analytics Mastery
Lecture 1 Introduction
Section 2: Marketing Analytics
Lecture 2 Marketing Analytics Mastery
Section 3: Sales Analytics
Lecture 3 Sales Analytics Mastery
Section 4: HR Analytics
Lecture 4 HR Analytics Mastery
Section 5: Financial Analytics
Lecture 5 Financial Analytics Mastery
Section 6: Accounting Analytics
Lecture 6 Accounting Analytics Mastery
Section 7: Customer Support Analytics
Lecture 7 Customer Support Analytics Mastery
Section 8: Distrbution Analytics
Lecture 8 Distribution Analytics Mastery
Section 9: Sourcing & Procurement Analytics
Lecture 9 Sourcing & Procurement Analytics Mastery
Section 10: Concluding Suggestions
Lecture 10 Concluding Suggestions
Technology Professionals & Technology Students,Business Professionals and Business students,Entrepreneurs and Business Owners,Technology CXOs, Leaders and Managers,Engineering Professionals & Engineering Students,Budding Entrepreneurs,Startup Founders, CXOs, Leaders and Managers,Data Analysts, Business Analysts and Data professionals
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