Excel Automation with Python

1 hour

11 chapters

Intermediate

In this project, we will study how to create, modify, and extract data from Excel spreadsheets using Python code.

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Data Anomaly Detection

3 hours

15 chapters

Advanced

Anomaly detection is integral to any data scientist's work: high-quality, cleaned, and well-prepared data is the key to success for almost any machine learning problem.

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Ensemble Learning

4 hours

22 chapters

Advanced

Ensemble Learning is an advanced machine learning technique that combines multiple models to improve overall predictive performance and decision-making when solving real-life tasks.

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Identifying Fake News

2 hours

9 chapters

Advanced

We are going to identify fake news by analyzing text data and determining whether articles are legitimate or deceptive. We will preprocess the text data using natural language processing techniques and apply machine learning algorithms to build and evaluate classification models. By the end of the project, we aim to develop an effective tool that can accurately distinguish between real and fake news.

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Logistic Regression Mastering

1 hour

6 chapters

Advanced

Logistic regression is a statistical method for analyzing a dataset in which there are one or more independent variables that determine an outcome. In this project, we will leverage logistic regression to classify data into two distinct categories. The process will involve data preprocessing, model training, evaluation, and tuning to achieve optimal performance.

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Adobe After Effects Basics

4 hours

34 chapters

Intermediate

This course provides a comprehensive introduction to Adobe After Effects, covering essential tools and techniques for animation, motion graphics, and visual effects. You'll engage in precise practice, learning to create full animations and advanced transitions in dedicated chapters. By the end, you'll have the skills to craft dynamic animations and high-quality video content through hands-on projects.

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Optimization Techniques in Python

4 hours

26 chapters

Advanced

Learn how to write faster and more memory-efficient code by mastering performance measurement, selecting the right data structures, and leveraging built-in tools. We'll focus on practical optimization techniques for handling large datasets, efficient string operations, and partial sorting, ensuring your code is both robust and scalable.

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Spring Boot Backend

5 hours

29 chapters

Advanced

This course covers key aspects of backend development on Spring Boot, including the basics of HTTP and Spring, designing and implementing RESTful APIs, working with relational databases, and testing applications. By the end of this course, users will have a solid understanding of backend development using Spring Boot, enabling them to design and implement robust RESTful APIs and manage data effectively with relational databases. They will also gain practical experience in testing applications, ensuring high-quality code and functionality.

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Building a Classic Snake Game

1 hour

10 chapters

Intermediate

In this project, you'll embark on a journey of game development, learning essential programming concepts while honing your creativity and problem-solving skills. Through step-by-step tutorials, you'll build a fully functional Snake game from scratch.

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Introduction to Data Engineering with Azure

6 hours

48 chapters

Intermediate

Master the essentials of data engineering with Microsoft Azure in this comprehensive course. Starting with foundational concepts like cloud computing, resource management, and storage solutions, you'll progress to hands-on training in Azure Data Factory (ADF), mastering ETL/ELT workflows, and advanced data transformations. Through practical examples and real-world problem-solving, you'll gain the skills to design, implement, and optimize scalable data solutions using Azure.

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Introduction to QA Automation Testing

3 hours

26 chapters

Intermediate

Build on top of your previously acquired Manual Testing knowledge and learn Automation Testing using Node.JS and Jest. This course will also introduce you to some additional libraries and tools like Selenium, Axios and Jenkins.

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Matlab Basics

5 hours

52 chapters

Beginner

Matlab's simplicity, efficiency, and overall computing power make it an excellent programming language for both beginners and top professionals alike. It's the language of choice for anything to do with numbers and data. This is an accelerated course designed to rocket you from beginner to professional, showing you every step along the way, so that you'll walk away ready to begin your programming career.

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Tableau Fundamentals

7 hours

76 chapters

Beginner

This corse provides a comprehensive introduction to Tableau's core features, empowering learners to create impactful data visualizations and dashboards. We will cover essential topics such as working with charts, filters, calculated fields, and parameters, as well as advanced techniques like combining data and creating interactive dashboards. By the end, you will have the skills to transform raw data into actionable insights with ease and confidence.

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