Business Analytics and Metrics

Name: Business Analytics and Metrics
Rating: 3.9 (138 reviews)

Analytics for students and working professionals

Created byMarkytics Learning

Last updated 5/2020

English

What you'll learn

Students will learn more than 20 new Practical Analytics techniques used by industry experts. These techniques will help them in getting first job or increase salary by 2X for working professional.
These techniques have helped me in getting my first job and my salary has increased by 3 times in last 4 years due to use of these Analytics Techniques

Course content

4 sections • 23 lectures • 1h 17m total length

Introduction2:16
Objective of these mastery sessions is to help Students and Business Professionals to gain practical knowledge in Analytics.
These skills have helped me in landing my first job in Analytics. Techniques I am going to teach you are one of best I have learnt. These are techniques that I have used during my last four years of Analytics Experience in Banking, Insurance, Retail and Pharma.
I believe if you spend just 10-20 mins every day for next 66 days you will be Master in Analytics. Schedule your calendar to learn new technique every day, because “The things that get scheduled are things that get done”.
“Latest research has confirmed that it takes 66days to master any skill”. You just need to practice the techniques I am going to teach you in next 66 days and it will hard wire in your mind.
Learning Analytics is not about talent or genetics, it doesn’t matter even if you don’t know excel or coding or if you are not from technical background. If you apply the techniques I am going to teach you in next 66 sessions, you will see results within days in your work.
So are you ready to learn Analytics? If Yes… then subscribe to “Analytics Mastery Sessions…”
Introduction to Analytics3:17
In this session you will learn What is Analytics, Applications of Analytics and Three basic types of Analytics techniques.
Classification of Analytics4:41
This session will go deep into each class of Analytics and each will be explained in great depth. Instead of teaching theory knowledge we will start learning practical applications of analytics from this session.

Introduction to Customer Analytics and its types2:39
Objective of this session is to learn more about Customer Analytics and techniques used in doing Customer Analytics
Customer Profitability Analysis Part 14:54
Objective of this session is to understand what is customer profitability analysis and how to calculate it
Customer Profitability Analysis Part 22:28
Objective of this session is to learn more about Customer Profitability Analysis, in this session we will cover how to calculate profitability of top 100 customers
RFM Analysis (Recency Frequency Monetary Analysis)5:26
In this session we will learn how to do RFM analysis and its application.
Net Promoter Score(NPS) Analysis3:20
Objective of this session is learn how to calculate Net Promoter Score and its applications
Customer Lifetime Value (CLV) Analysis4:25
Objective of this session is learn how to calculate Customer Lifetime Value and its applications

Sales Analytics Introduction and its types4:14
Commonly used Sales Terminologies3:10
In this session we will learn different sales terminologies used by Sales People. This will help in developing deep understanding of how sales performance is analysed
Numeric Sales Distribution Analysis2:46
Objective of this session is to learn important sales analytics techniques of increasing width: Numeric Sales Distribution Analysis
Lapser Outlet Analysis2:47
Objective of this session is to learn about Lapser Outlet Analysis
Weighted Sales Distribution Analysis2:35
In this session we will learn more about depth analysis technique : Weighted Sales Distribution
Distribution Quality Index2:30
Objective of this session is to analyse how effective is sales distribution, for calculating this we will use Numeric as well as Weighted Sales Distribution
Brands Per Outlet Analysis2:35
Analyze the number of brands per outlet to classify outlets into BPO levels and guide targeted sales and cross-selling strategies.

Marketing Analytics Introduction and Its Types3:16
Frequency of Purchase Analysis2:24
Explore the frequency of purchases analysis to understand consumer buying patterns and monthly orders across outlets. Apply the method to identify below-average outlets and design promotions to increase overall frequency.
Brand Reach Analysis,Market Share and Value Per Call Analysis3:20
Explore market share analysis through value market share and volume market share, and assess brand reach to gauge exposure, plus analyze value per outlet performance.
New Brand Placement Analysis3:01
Learn how a brand manager analyzes new brand placement using 90–180 day data, measuring unique versus repeat outlets and gaps to determine an average engagement interval for promotions.
Share of Wallet Analysis3:43
Return on Marketing Investment Analysis3:10
Learn to perform return on investment analysis for brand or marketing campaigns, calculate ROI using sales growth and marketing cost, and apply it to compare campaigns and inform budgets.
Next Best Product Analysis4:20
Explore next best product analysis, a market basket approach using support, confidence, and lift to predict co-purchased items. Apply these insights to store layouts, cross-selling, and online product placement.

Requirements

Students should have basic understanding of Excel, thats it... Rest all things we will teach you

Description

Objective of these mastery sessions is to help Students and Business Professionals to gain practical knowledge in Analytics.

These skills have helped me in landing my first job in Analytics. Techniques I am going to teach you are one of best I have learnt. These are techniques that I have used during my last four years of Analytics Experience in Banking, Insurance, Retail and Pharma.

Learning Analytics is not about talent or genetics, it doesn’t matter even if you don’t know excel or coding or if you are not from technical background. If you apply the techniques I am going to teach you in upcoming sessions, you will see results within days in your work.

Who this course is for:

1) Students who are looking for Job in Analytics Industries, 2) Sales Manager who wants to increase his area sales and 3) Brand and Marketing Managers looking for strategies to Improve brand reach

Business Analytics and Metrics

What you'll learn

Explore related topics

Course content

Introduction3 lectures • 10min

Customer Analytics6 lectures • 23min

Sales Analytics7 lectures • 21min

Marketing Analytics7 lectures • 23min

Requirements

Description

Who this course is for: