Educative & Packt Partner to Publish Hands-on Tech Skills Courses
Educative, the leading online provider of interactive courses for software engineers, and Packt, the renowned UK-based online library and publisher of educational content for professional developers, have launched a partnership with the goal of enriching the learning experience for software engineers worldwide.
As part of this partnership, Educative will incorporate select Packt content into its platform, enhancing its already extensive library of hands-on tech skills courses. Software engineers will have the opportunity to explore a wider range of topics, including cutting-edge technologies, programming languages, frameworks, and best practices — all curated by industry experts.
New Courses from Educative & Packt#
The partnership has kicked off with five initial courses, listed below, and with over a dozen more set to arrive in the coming months.
1. Building Real-Life Applications with Blazor WebAssembly#
In this course, you’ll dive into the exciting world of Blazor WebAssembly, a cutting-edge framework for building rich and interactive web applications using C#. Guided by industry experts, you’ll learn how to leverage Blazor’s powerful features to create real-life applications from scratch. Gain hands-on experience in developing responsive UI components, handling data, implementing client-side routing, and integrating with backend APIs. By the end of this course, you’ll be equipped with the skills to build dynamic and performant web applications using Blazor WebAssembly.
Blazor WebAssembly is a framework built on the popular and robust ASP.NET framework. It allows you to build single-page web applications that use C# on the client instead of JavaScript. Blazor WebAssembly does not rely on plug-ins or add-ons. It only requires that the browser support WebAssembly. In this course, you will complete practical projects that will teach you the fundamentals of Blazor WebAssembly. Each chapter includes a standalone project with detailed step-by-step instructions. Each project is designed to highlight one or more important concepts. In the first project, you will learn templated components. Next, you will learn about JavaScript interoperability, Progressive Web Applications, application state, events, and ASP.NET Core hosted applications with Web API. You will finish with built-in components, such as EditForm and validation. By the end of the course, you will have experience building both simple standalone web applications and hosted web applications with SQL Server backends.
2. Mastering spaCy#
Are you ready to become a natural language processing (NLP) expert? This course will take you on a deep dive into spaCy, one of the most popular Python libraries for NLP. Unleash the full potential of spaCy as you learn advanced techniques for text processing, entity recognition, part-of-speech tagging, dependency parsing, and more. Through hands-on projects and practical examples, you’ll master the art of extracting valuable insights from text data. Whether you’re working on sentiment analysis, named entity recognition, or text classification, this course will equip you with the skills to excel in the world of NLP.
This course offers an extensive introduction to the widely-used Python library, spaCy, for natural language processing (NLP). It covers spaCy basics, such as tokenization and part-of-speech tagging, as well as advanced topics like custom model training and NLP pipeline creation. The course has three parts: Part 1 focuses on spaCy's fundamentals, its architecture, installation, and setup. It teaches common NLP tasks like tokenization, named entity recognition (NER), part-of-speech (POS) tagging, and dependency parsing. Part 2 delves into spaCy's features, covering syntax and semantics. It explores pattern matching and semantics via word vectors, and provides a thorough discussion of statistical information extraction techniques. Part 3 examines advanced topics, discussing the development of complex NLP models, requiring expertise, analysis, and practical experiences. Multiple experiments with various NLP tasks are conducted, including customizing statistical models to meet specific needs.
3. Kotlin Design Patterns and Best Practices#
Design patterns are essential for writing clean, maintainable, and scalable code. In this course, you’ll explore Kotlin, the modern and expressive programming language, and learn how to apply design patterns effectively in your Kotlin projects. Through hands-on examples and real-world scenarios, you’ll discover the power of patterns such as Singleton, Factory, Observer, and many more. In addition to design patterns, you’ll also delve into best practices and idiomatic Kotlin coding techniques. By the end of this course, you’ll have a solid understanding of Kotlin design patterns and the ability to write elegant and efficient code in your Kotlin applications.
Design patterns enable developers to speed up the development process by providing proven development paradigms. Reusing design patterns helps prevent complex issues that can cause major problems. Moreover, it improves your codebase, promotes code reuse, and makes an architecture more robust. In this course, you will start with a gentle introduction of the Kotlin language. You will explore design patterns that are part of the best practices that help developers use Kotlin efficiently. Design patterns appeared in the era of object-oriented languages such as C++ and Java. You will learn the language features that Kotlin provides, which allow developers to program in a functional style and implement the design patterns. After taking this course, you’ll be able to take your knowledge of Kotlin, design patterns, and associated best practices to the software industry and apply it to build reliable, scalable, and maintainable projects.
4. Data Science Projects with Python#
In this hands-on course, you’ll tackle real-world projects that will challenge and sharpen your analytical abilities. From data preprocessing and visualization to machine learning algorithms and model evaluation, you’ll gain practical experience in every step of the data science lifecycle. By the end of this course, you’ll have the confidence to tackle any data science challenge that comes your way.
As businesses gather vast amounts of data, machine learning is becoming an increasingly valuable tool for utilizing data to deliver cutting-edge predictive models that support informed decision-making. In this course, you will work on a data science project with a realistic dataset to create actionable insights for a business. You’ll begin by exploring the dataset and cleaning it using pandas. Next, you will learn to build and evaluate logistic regression classification models using scikit-learn. You will explore the bias-variance trade-off by examining how the logistic regression model can be extended to address the overfitting problem. Then, you will train and visualize decision tree models. You'll learn about gradient boosting and understand how SHAP values can be used to explain model predictions. Finally, you’ll learn to deliver a model to the client and monitor it after deployment. By the end of the course, you will have a deep understanding of how data science can deliver real value to businesses.
5. Interactive Dashboards and Data Apps with Plotly and Dash#
With Plotly’s cutting-edge graphing library and Dash’s user-friendly framework, you’ll learn to build stunning, interactive dashboards and data-driven applications. From data exploration and filtering to dynamic visualizations and custom layouts, this course will empower you to create engaging data experiences. Whether you’re a data analyst, data scientist, or business intelligence professional, this course will equip you with the skills to present your insights in a visually impactful and interactive manner.
Plotly's Dash framework allows Python programmers to develop complete analytic data apps and interactive dashboards. You'll start with an overview of the Dash ecosystem, its main packages, and the available third-party packages crucial for structuring and building different parts of your apps. Next, you will learn how to create a basic Dash app and add different features to it. You'll then integrate controls in the app—such as drop-downs, checkboxes, sliders, date pickers, and more—and then link them to charts and other outputs. Depending on the data you are visualizing, you will also add several types of charts including scatter plots, line plots, bar charts, histograms, maps, as well as explore the options available for customizing them. By the end of this course, you’ll have the skills you need to create and deploy an interactive dashboard, be able to handle complexity and code refactoring, and know how to improve your application.
These courses are now available to our community as part of the Educative and Packt partnership. Many more courses will be coming soon.
More on the Educative & Packt Partnership#
By combining their expertise and resources, Educative and Packt aim to create exceptional, interactive learning content that supports software engineers at every stage of their career journey. This partnership will enable learners to get hands-on with a comprehensive range of educational materials created by industry experts.
“We are thrilled to partner with Packt, a highly respected name in the developer community,” said Fahim ul Haq, CEO of Educative.
“Our shared mission is to empower software engineers with the knowledge and skills they need to excel in their careers. Together, we are working to meet the evolving needs of developers around the world.”
This partnership marks a significant milestone for both Educative and Packt, as they unite to address the evolving demands of the software development industry. Together, they aim to provide learners with practical, real-world knowledge and skills that will enhance their careers.
About Educative#
Educative is an online learning platform that offers interactive and hands-on courses for software engineers. With a mission to empower developers with practical skills, Educative provides in-depth courses on a wide range of topics, including programming languages, web development, data science, and system design. With a user base of over 2 million learners globally, Educative is dedicated to enabling professionals to stay ahead in their careers.
For more information about Educative, please visit educative.io
About Packt#
Packt offers a collection of educational content for professionals in the software development industry. With a focus on technology and programming, Packt offers educational materials on various topics, including web development, data science, cloud computing, and cybersecurity. With a wealth of expert knowledge and an extensive library, Packt equips developers with the resources they need to thrive in the ever-evolving world of software development.
For more information about Packt, please visit packtpub.com
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