Customer data analytics using Python

Customer data analytics using Python, available at $19.99, has an average rating of 3.95, with 23 lectures, based on 24 reviews, and has 460 subscribers.

You will learn about Explore what is customer analytics Learn how customer analytics can help to retain customers Understand the concept of customer life cycle Analyse how CLV concept is used Learn the key steps involved into setting up customer analytics framework This course is ideal for individuals who are Business professionals or Entrepreneurs or Students curious to learn about data analytics or Managers It is particularly useful for Business professionals or Entrepreneurs or Students curious to learn about data analytics or Managers.

Enroll now: Customer data analytics using Python

Summary

Title: Customer data analytics using Python

Price: $19.99

Average Rating: 3.95

Number of Lectures: 23

Number of Published Lectures: 23

Number of Curriculum Items: 23

Number of Published Curriculum Objects: 23

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Explore what is customer analytics
Learn how customer analytics can help to retain customers
Understand the concept of customer life cycle
Analyse how CLV concept is used
Learn the key steps involved into setting up customer analytics framework

Who Should Attend

Business professionals
Entrepreneurs
Students curious to learn about data analytics
Managers

Target Audiences

Business professionals
Entrepreneurs
Students curious to learn about data analytics
Managers

Companies in virtually every industry are feeling the heat from more discerning and often less loyal—consumers. Chalk it up to globalization, social media, economic uncertainty, or product commoditization, to name a few of the most challenging trends. Consumers are more informed, more demanding, more fickle, and more tuned in to one another’s opinions. Companies should have a more complete, intimate understanding of their customers to get them, grow them, and keep them. Customer analytics is among the most powerful enablers companies have for translating those signals into useful insights about their customers. Just as important, analytics helps to deliver customer insights directly to the people who need them most, in a format that makes it easy to understand and act on them.

This course is tailored to those who are new to data, eg. entrepreneurs, business professionals, managers and students who are interested to learn more about data and analytics. Since this is a fundamental course, we will not be using statistical tools like Python to perform the data analysis. So if you are an advanced level user with significant knowledge of data, this course may not be useful for you (you are welcome to check!)

This course talks about ins and outs of customer analytics by using real world examples. We will also provide guidance on what tools could be used for customer analytics to derive information and predict future strategy for business.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome message

Lecture 2: Introduction from the instructor

Lecture 3: Introduction

Lecture 4: What is data?

Lecture 5: What is data analysis?

Chapter 2: Key elements of data analytics

Lecture 1: What is data analytics?

Lecture 2: Types of analytics explained

Chapter 3: Customer analytics

Lecture 1: What is customer analytics

Lecture 2: Importance of customer analytics

Chapter 4: Customer analytics process

Lecture 1: Anlytics process

Lecture 2: Sources of data

Lecture 3: Setting up customer analytics

Chapter 5: Customer life cycle value

Lecture 1: Customer life cycle

Lecture 2: Applying analytics to life cycle

Lecture 3: Use case – Customer Life Cycle Value measurement

Chapter 6: Understanding the recommendation techniques

Lecture 1: Collaborative filtering and affinity score

Lecture 2: Calculating affinity score using Python

Chapter 7: Customer analytics case study

Lecture 1: Customer acquisition – Nike case study

Lecture 2: Netflix customer analytics example

Chapter 8: Analysing customer data in Python

Lecture 1: Exploring customer data in Python

Lecture 2: Customer data visualisation in Python

Chapter 9: Analysing marketing data using Python

Lecture 1: Use case – analysing Marketing data for customer acquisition

Lecture 2: Netflix case study

Instructors

Dr. Sayem Hossain
Data, Research, Strategy and Evaluation Expert
HotCubator Academy
A think tank in Data, Research and Entrepreneurial thinking

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 4 votes
4 stars: 13 votes
5 stars: 6 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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