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Master Customer Churn Prediction and Prevention using ML – Free Udemy Courses

Master Customer Churn Prediction and Prevention using ML – Free Udemy Courses

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Publisher : Govind Kumar – Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight!

Price : $5

Course Language : English


There is no doubt that Facebook is currentlyCrea facilmente aplicaciones para tu movil o tablet Android


Aprende los conceptos basicos para iniciarte en la programacion Android con AppInventor.

En los videos iremos paso a paso con la estructura basica que debemos conocer para desarrollar aplicaciones para movil o tablet Android.

El software usado durante el curso es totalmente gratuito, el navegador usado es Chrome de Google.

Si has seguido mi curso de introduccion a Scratch, este no te sera dificil, es muy similar en la programacion por bloques.

Los videos son totalmente practicos e iremos poco a poco avanzando con las estructuras basicas.

Al final podras ver videos de aplicaciones de ejemplos y como realizarlas de principio a fin, incluso la subida a la tienda de Google Play.

Si como estudiante estas adaptado a otros editores o navegadores, no hay ningun problema en usarlo.

Para cualquier duda no dudeis en contactar conmigo a traves de los diferentes canales y redes sociales, pasaros tambien por mi canal YouTube donde tengo numerosos tutoriales publicados sobre HTML, CSS, JavaScript, Python…

En el canal YouTube podreis acceder a los diferentes contenidos a traves de las listas que he creado para categorizar  los distintos tutoriales que he subido al canal.

Tambien podeis contactar via emal.

Espero os sea util el curso y que sea un buen comienzo en la Programacion, muchas gracias.

5programa-aplicaciones-para-android-con-appinventor/?couponCode=JOSECODETECH3843786_9fcc_3.jpgSpanish00Generic ProgrammingIT & SoftwareJOSE OJEDA ROJASPrograma aplicaciones para Android con AppInventor the number one platform to grow your business. And this is solely because Facebook advertising is the most convenient, most economical and most effective way to reach out to your target audience.

It doesn’t matter what type of a business you have. As long as you have a product or service that you want to sell to your customers, Facebook advertising is the thing to go to.

In this course I teach you how Facebook advertising works and how you can use it to start or grow the business of your dreams.

But who am I to tell you all this?

I’m an entrepreneur who completely owes his success to the power of Facebook advertising. When I started my business, I did not have a whole lot of money to invest. Just some savings from my previous jobs. But that was more than enough to start and grow my photography business because Facebook advertising proved to be so economical and at the same time so effective.

In this course, we start right from scratch by first understanding what Facebook advertising exactly is.

Then we start the process of completing the set-up required to do Facebook advertising, i.e, Creating a Facebook page, Creating an advertising account and a whole lot of other things.

So that things are practical for you, I show you everything by creating a dummy/fake business so you can see how everything would work if you were to start your business from scratch.

Then we start the process of creating a basic and simple ad on Facebook so you get a taste of how ads are created in a step-by-step manner.

Here we’ll be going inside the Facebook ads dashboard and using all the important features that help you zero in on your target customers, like selecting geographical locations, age, gender, interests, behaviors etc.

In between I also show you a lot of bonus things like how to create designs for your Facebook covers, how to make sure your ad image conforms to the guidelines provided by Facebook, etc.

Then comes the all important section of Analytics. One of the most powerful features about Facebook advertising is the ability to monitor and measure each aspect of your ad. Here you will be learning about important metrics like CTR (Click through rate), CPC (cost per click), Reach, Impressions, etc so you can come to know which ad is performing well for your business and which isn’t, thereby making your investment into Facebook ads an efficient one.

But that’s not all. We’ll also be going into the world of remarketing in the Custom Audience creating section. Here you’ll be learning how to create audiences using website traffic, customer lists, etc. so you can show your ads to people who have already interacted with your business before. .

Learning all this will take your confidence to a new level and inject a new belief into your entrepreneurial spirit. You’ll realize that it’s really not that difficultly to start a business of your dreams.

Even if you are not a budding entrepreneur, this course can still help you in growing your digital marketing or freelancing career.

I hope to get a chance to teach you this life-changing skill and see you inside this course.

0facebook-advertising-for-beginners-start-your-dream-business/2513566_9876.jpgEnglish00Facebook AdsMarketingKush SharmaFacebook Advertising for Beginners>Description

What is Design Thinking?

Design Thinking is an approach used for practical and creative problem-solving. It is based heavily on the methods and processes that designers use (hence the name), but it has actually evolved from a range of different fields — including architecture, engineering and business. Design Thinking can also be applied to any field; it doesn’t necessarily have to be design-specific.

Design Thinking is extremely user-centric. It focuses on humans first and foremost, seeking to understand people’s needs and come up with effective solutions to meet those needs. It is what we call a solution-based approach to problem-solving.

What is the purpose of Design Thinking?

Now we know more about how Design Thinking works, let’s consider why it matters. There are many benefits of using a Design Thinking approach — be it in a business, educational, personal or social context.

First and foremost, Design Thinking fosters creativity and innovation. As human beings, we rely on the knowledge and experiences we have accumulated to inform our actions. We form patterns and habits that, while useful in certain situations, can limit our view of things when it comes to problem-solving. Rather than repeating the same tried-and-tested methods, Design Thinking encourages us to remove our blinkers and consider alternative solutions. The entire process lends itself to challenging assumptions and exploring new pathways and ideas.

Design Thinking is often cited as the healthy middle ground of problem-solving — it is not steeped wholly in emotion and intuition, nor does it rely solely on analytics, science and rationale; it uses a mixture of both.

Another great benefit of Design Thinking is that it puts humans first. By focusing so heavily on empathy, it encourages businesses and organizations to consider the real people who use their products and services — meaning they are much more likely to hit the mark when it comes to creating meaningful user experiences. For the user, this means better, more useful products that actually improve our lives. For businesses, this means happy customers and a healthier bottom line.

Design Thinking is both an ideology and a process, concerned with solving complex problems in a highly user-centric way. In this course, we’ll give you a detailed definition of Design Thinking, illustrate exactly what the process involves, and underline why it matters: What is the value of Design Thinking, and in what contexts is it particularly useful? We’ll also analyze the relationship between User Experience Design and Design Thinking.

We also cover in this course how an individual or an organization can innovate and design products or service using the 5 step design thinking methodology.

5innovation-and-design-thinking/?couponCode=0C59AA1527C1FE6B33413459342_b4fa_3.jpgEnglish24.7InnovationBusinessGovind Kumar – Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight!Design Thinking Masterclass>Description

This is very much a practical course on learning Figma. At the end of the course, you will have an aesthetically pleasing Project of a Website to show in your portfolio.

Figma is increasingly becoming the tool of choice for UI/UX Design teams all over the world. It is because Figma is much more powerful than Adobe XD and Sketch when it comes to its capability to collaborate and develop responsive design. In this course, you will learn Figma while designing while you are learning. This learning by doing methodology will help you learn Figma more effectively.

In this course, you will also learn the process of UI/UX Design with Figma, which starts at the client brief, and ends with a beautiful design which the client loves. You are requested to follow the course and start working in Figma in parallel. The course covers following steps in the UI/UX Design process:

  • Understanding Client’s Design

  • Understanding the Wireframe

  • Creating Colour Palette matching to the Brand Design

  • Choosing Typefaces and Type Scale

  • Designing a modern User Interface according to the requirement

  • Use Figma specific features like Auto Layout to speed up your workflow

This course is specifically aimed at beginners to help then get upto speed. Learning a tool is not enough to create an output of relevance, and hence, this course is a project based course. At the end of the course you will have a beautiful website design (with website copy) for a study abroad company to show off in your portfolio.

19learn-figma-uiux-design/?couponCode=D224C91E4598BE0B6E793838902_f1f2.jpgEnglish00FigmaDesignSaumitra NewalkarFigma for UI/UX Design 2021: Learning by Doing approach>Description

Natural Language Processing (NLP) is a very interesting field associated with AI and is at the forefront of many useful applications like a chatbot. Knowledge of NLP is considered a necessity for those pursuing a career in AI. This course covers both the theory as well as the applications of NLP. Case studies are explained along with a walkthrough of the codes for a better understanding of the subject.

NLP is a subfield of computer science and artificial intelligence concerned with interactions between computers and human (natural) languages. It is used to apply machine learning algorithms to text and speech.

For example, we can use NLP to create systems like speech recognition, document summarization, machine translation, spam detection, named entity recognition, question answering, autocomplete, predictive typing and so on.

Nowadays, most of us have smartphones that have speech recognition. These smartphones use NLP to understand what is said. Also, many people use laptops whose operating system has built-in speech recognition.

Some Examples:


The Microsoft OS has a virtual assistant called Cortana that can recognize a natural voice. You can use it to set up reminders, open apps, send emails, play games, track flights and packages, check the weather and so on.


Siri is a virtual assistant of the Apple Inc.’s iOS, watchOS, macOS, HomePod, and tvOS operating systems. Again, you can do a lot of things with voice commands: start a call, text someone, send an email, set a timer, take a picture, open an app, set an alarm, use navigation and so on.


The famous email service Gmail developed by Google is using spam detection to filter out some spam emails.

In this course we will deal with:

a)NLP Introduction:

  • What is NLP

  • Applications of NLP

  • Challenges in NLP

b)Key concepts in NLP:

  • Sentence Segmentation

  • Word Tokenization

  • Stemming

  • Lemmatization

  • Parsing

  • POS

  • Ambiguities in NLP

c)NLP in Action

d)Case studies:

  • Speech recognition

  • Sentiment analysis

You will not only get fantastic technical content with this course, but you will also get access to both our course-related Question and Answer forums, as well as our live student chat channel, so you can team up with other students for projects, or get help on the course content from myself and the course teaching assistants.

All of this comes with a 30-day money back guarantee, so you can try the course risk-free.

What are you waiting for? Become an expert in natural language processing today!

I will see you inside the course,

Govind Kumar

5nlp-natural-language-processing/?couponCode=E3D5B099725509D9F8B93708128_9043.jpgEnglish34.9Natural Language ProcessingDevelopmentGovind Kumar – Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight!Apply Natural Language Processing (NLP) with Python>Description

Customer Churn Prediction and Prevention

Predicting and preventing customer churn represents a huge additional potential revenue source for every business.

What is Customer Churn?

Customer churn (also known as customer attrition) refers to when a customer (player, subscriber, user, etc.) ceases his or her relationship with a company. Online businesses typically treat a customer as churned once a particular amount of time has elapsed since the customer’s last interaction with the site or service. The full cost of churn includes both lost revenue and the marketing costs involved with replacing those customers with new ones. Reducing churn is a key business goal of every online business.

The Importance of Predicting Customer Churn

The ability to predict that a particular customer is at a high risk of churning, while there is still time to do something about it, represents a huge additional potential revenue source for every online business. Besides the direct loss of revenue that results from a customer abandoning the business, the costs of initially acquiring that customer may not have already been covered by the customer’s spending to date. (In other words, acquiring that customer may have actually been a losing investment.) Furthermore, it is always more difficult and expensive to acquire a new customer than it is to retain a current paying customer.

Reducing Customer Churn with Targeted Proactive Retention

In order to succeed at retaining customers who would otherwise abandon the business, marketers and retention experts must be able to (a) predict in advance which customers are going to churn through churn analysis and (b) know which marketing actions will have the greatest retention impact on each particular customer. Armed with this knowledge, a large proportion of customer churn can be eliminated.

While simple in theory, the realities involved with achieving this “proactive retention” goal are extremely challenging.

The Difficulty of Predicting Churn

Churn prediction modeling techniques attempt to understand the precise customer behaviours and attributes which signal the risk and timing of customer churn. The accuracy of the technique used is obviously critical to the success of any proactive retention efforts. After all, if the marketer is unaware of a customer about to churn, no action will be taken for that customer. Additionally, special retention-focused offers or incentives may be inadvertently provided to happy, active customers, resulting in reduced revenues for no good reason.

Unfortunately, most of the churn prediction modeling methods rely on quantifying risk based on static data and metrics, i.e., information about the customer as he or she exists right now. The most common churn prediction models are based on older statistical and data-mining methods, such as logistic regression and other binary modeling techniques. These approaches offer some value and can identify a certain percentage of at-risk customers, but they are relatively inaccurate and end up leaving money on the table.

A Better Churn Prediction Model

Optimove uses a newer and far more accurate approach to customer churn prediction: at the core of Optimove’s ability to accurately predict which customers will churn is a unique method of calculating customer lifetime value (LTV) for each and every customer. The LTV forecasting technology built into Optimove is based on advanced academic research and was further developed and improved over a number of years by a team of first-rate PhDs and software developers. This method is battle-tested and proven as an accurate and effective approach in a wide range of industries and customer scenarios.

Without revealing too much about the “secret sauce” of Optimove’s customer churn prediction technology, the approach combines continual dynamic micro-segmentation and a unique, mathematically intensive predictive behaviour modeling system. The former intelligently and automatically segments the entire customer base into a hierarchical structure of ever-smaller behavioural-demographic segments. This segmentation is dynamic and updated continually based on changes in the data. The latter is based on the fact that the behaviour patterns of individual customers frequently change over time. In other words, the “segment route history” of each customer is an extremely important factor determining when and why the customer may churn.

By merging the most exacting micro-segmentation available anywhere with a deep understanding of how customers move from one micro-segment to another over time – including the ability to predict those moves before they occur – an unprecedented degree of churn analysis accuracy is attainable.

Beyond Customer Churn Analysis: Preventing Customer Value Attrition

Optimove goes beyond simply predicting which customers will abandon the business by providing early warnings regarding customers whose lifetime value prediction has declined substantially during the recent period, even though they are still active and may not abandon the business entirely in the near future.

Optimove’s ability to identify customers which fall into this “decliner” category helps marketers increase revenues from existing customers, while simultaneously reducing the number of customers who may fall into the risk-of-churn category.

Now What? Targeted Proactive Retention

Predicting churn is important only to the extent that effective action can be taken to retain the customer before it is too late. A central – and unique – aspect of Optimove is the software’s combination of cutting-edge churn prediction capabilities and a marketing action optimization engine.

Once those customers at risk of churning have been identified, the marketer has to know exactly what marketing action to run on each individual customer to maximize the chances that the customer will remain a customer. Since different customers exhibit different behaviors and preferences, and since different customers churn for different reasons, it is critical to practice “targeted proactive retention.” This means knowing in advance which marketing action will be the most effective for each and every customer.

This course will introduce the learners to different aspects of Churn like proactive vs reactive strategy, the need for a Churn Prediction Model and the IT & Operations Dimensions in Churn. A Churn Maturity Framework is also being covered that can be used to assess your organization’s maturity for Churn Management. For Machine learning enthusiasts, a walkthrough of the churn prediction model code is provided.

In this course you will go through:

  • What is Churn

  • Customer Lifetime Value

  • Why Churn is important

  • Reasons for Churn

  • How to manage Churn

  • Building a Churn Prediction Model

  • Churn Maturity

  • Case Study

  • Partner Churn & Employee Churn

  • Machine Learning with Churn

You will not only get fantastic technical content with this course, but you will also get access to both our course-related Question and Answer forums, as well as our live student chat channel, so you can team up with other students for projects, or get help on the course content from myself and the course teaching assistants.

All of this comes with a 30-day money-back guarantee, so you can try the course risk-free.

What are you waiting for? Become an expert in Mastering customer churn prediction and prevention today!

I will see you inside the course,

Govind Kumar



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