Every year more data is produced globally. This holds also for companies: more details than ever are recorded from customers, partners, transactions, products and supply chain resulting in more data. According to IDC , “the global datasphere will grow from 45 zettabytes in 2019 to 175 by 2025”. This data forms the raw material from which organizations are drawing valuable, actionable insights. But the collection, integration and governance of this data is still one of the main challenges.

These organizations are now looking at a relatively new concept called “Data Mesh” to overcome these main challenges and inhibitors. Data Mesh is an emerging hot topic for enterprise software that puts focus on new ways of thinking about data. Data Mesh aims to improve business outcomes of data-centric solutions, as well as to drive adoption of modern data architectures.



Top Reasons why you should choose this Course :

-This course is designed keeping in mind the students from all backgrounds - hence we cover everything from basics, and gradually progress towards elaborate topics.

-This course can be completed over a Weekend.

-Wonderful collection of useful resources are shared, that will be updated frequently.

-All Doubts will be answered.

A Verifiable Certificate of Completion is presented to all students who undertake this Data Mesh Fundamentals course.

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The demand for Product Management is increasing at an insane rate. More and more companies are finally figuring out how important this discipline and this role is to their success, making product management as one of the hottest jobs in the market. However, most people are unaware of what exactly a Product Manager does. Does the role require technical skills or business skills? And what is it about the role that demands extreme empathy with the customer?



As a product manager (PM), how do you decide what to work on next? How do you determine if an initiative is worth pursuing in the first place? In most cases, nobody is going to hand you a written plan guiding you step-by-step to complete your initiative. That’s why you have to learn to prioritize your work, optimize your cross-functional team’s workflows, and know-how to quickly assess whether or not an initiative is worth your company’s time and budget.

We’ve compiled dozens of proven product management frameworks to help you do just that. Factually, to make effective product decisions, the best Product Managers from Tier One tech companies employ these variety of frameworks in order to make great decisions. These frameworks help Product leaders make sense of and evaluate the vast array of inputs that they receive on a daily basis.



This course will first introduce you to Product management frameworks and their importance and then divide these frameworks into 6 sections – goal setting , road mapping, prioritization, decision making, problem solving and innovation frameworks. We will talk in detail about each one of them and how to apply them. This course will also provide you with some useful resources that you can use and also further reading material. All of these frameworks apply equally to Project Management as well.



This course has been designed for product managers with 0 or even 10+ years of experience who want to up-level and re-energize their work, and it's been designed for aspiring product managers who want to kickstart their work with skill and impact. This course provides and overview of the absolute best frameworks in a clear, concise, and actionable manner so that you can make more efficient and effective decisions.



So, enroll today, and get set to build some awesome products using one or more of the frameworks that we will be discussing in this tutorial. I look forward to see you in the course. Thankyou !

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Are you a data scientist or a developer who mostly uses Python? Are you jealous of developers who write Javascript code and build fancy websites in a browser? How nice would it be if we could write websites in Python?



Python has grown in popularity immensely in recent years. It has a wide range of applications, from its most popular use in Artificial Intelligence, to Data Science, Robotics, and Scripting. But In the web development field, Python is used mainly on the backend with frameworks such as Django and Flask.



Before now, Python didn't have much support on the front-end side like other languages such as JavaScript. But thankfully, this year, during the PyCon 2022 conference, Peter Wang (CEO of Anaconda) announced a framework named PyScript that allows you to use Python on the web using standard HTML.

So, The only missing piece to make Python a universal programming language is here !



Think of PyScript as the “Minecraft of software development”: Users crafting their own worlds (applications) or new blocks and mods (components and widgets), and sharing them with the world.

This is the exciting beginning for supporting new ways of programming, building, sharing, and deploying applications. PyScript is a game changer and in this course we will learn everything about this awesome new tech skill - the basics, the setup, and coding in PyScript.



Top Reasons why you should choose this Course :

-This course is designed keeping in mind the students from all backgrounds - hence we cover everything from basics, and gradually progress towards advanced topics.

-Complete Code Snippets are shared that are used in Lectures.

-This course can be completed over a Weekend.

-Wonderful collection of useful resources are shared, that will be updated frequently.

-All Doubts will be answered.

A Verifiable Certificate of Completion is presented to all students who undertake this PyScript 101 course.

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As data scientists, we know the importance of being able to process and analyze large amounts of data quickly and accurately. However, with the explosion of data in recent years, traditional methods are becoming increasingly inadequate. That's where ChatGPT comes in.

In this course, you'll learn how to use ChatGPT in data science, including how to train it on your own data and how to use it to generate new data. We'll also cover advanced techniques such as fine-tuning and transfer learning, so you can customize ChatGPT to your specific needs.

Top Reasons why you should become a Data Scientist :

-Why data science? It is simple. Making sense of data will reduce the horrors of uncertainty for organizations. As organizations trying to meddle with petabytes of data, a data scientist’s role is to help them utilize this opportunity to find insights from this data pool.

-Data scientists are in constant demand because it is a data-heavy world!

-Be a part of the world's digital transformation.

-The demand for Data Science professionals is on the rise. This is one of the most sought-after profession currently.

-There are multiple opportunities across the Globe for everyone with this skill.

-Great career trajectory with data science – you will have rewarding career growth in this field.

-As a Data scientist, you can expect to take away a great salary package. Usual data scientists are paid great salaries, sometimes much above the normal market standards due to the critical roles and responsibilities.

-Competition is less, but demand is not.

Top Reasons why you should choose this Course :

-This course is designed keeping in mind the students from all backgrounds - hence we cover everything from basics, and gradually progress towards more important topics around leveraging ChatGPT as a Data Scientist.

-This course can be completed over a Weekend.

-This course covers end to end road map to use ChatGPT as a Data Scientist.

-Useful resources, and website links are shared to prepare for your Data Science journey with ChatGPT.

-All Doubts will be answered.

Enrolling in this course will give you an edge in the data science field and make you stand out in the job market. With the power of ChatGPT at your fingertips, you'll be able to analyze and understand your data like never before. So don't wait, enroll now and start unlocking the full potential of ChatGPT in data science!

A Verifiable Certificate of Completion is presented to all students who undertake this course.

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What does data sound like?

Sharing the complex narratives within data in an intuitive fashion has proven difficult, especially for communicators endeavoring to reach a wide audience comprised of individuals with differing levels of data knowledge and mathematical ability. To overcome this barrier, is the concept of Data Sonification—the process of translating data into sound, sometimes in a musical context—as a method of overcoming barriers to data communication.



In this course, we will learn TwoTone : A free open-source web app to turn data into music.



Top Reasons why you should learn Data Sonification using TwoTone :

-Data Sonification is the new buzzword and TwoTone simplifies it to a great extent !

-The demand for BI professionals is on the rise. This is one of the most sought-after profession currently in the lines of Data Science. Adding music to your Dashboards will make your skillset superior to other BI professionals.

-There are multiple opportunities across the Globe for everyone with this skill.

-Two Tone has a small learning curve and you can pick it up very quickly.

-There is no Trail or Paid version of this tool. It is absolutely free and available for everyone.

-You do not need high configuration computer to learn this tool. All you need is any system with internet connectivity.

A Verifiable Certificate of Completion is presented to all students who undertake this Data Sonification course.

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