Predicting Profitable Euro-Dollar Exchange Signals

3 hours

20 chapters

Advanced

In this course, we will examine the currency exchange rate relative to the euro. Our analysis will include Exploratory Data Analysis (EDA), generating visualizations, and developing a strategy to determine opportune moments for purchasing dollars. This strategy will involve trend detection techniques and constructing moving average curves to identify potential profit opportunities.

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Learning Statistics with Python

6 hours

38 chapters

Advanced

This course gives you a basic knowledge of statistics. It is intended for students with basic knowledge of Python syntax as they will be working with NumPy and pandas modules. During the course, you will become familiar with the basic concepts and then gradually move on to more complex concepts and tasks.

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Probability Theory Basics

3 hours

26 chapters

Intermediate

Probability theory is a fundamental branch of mathematics that deals with the study of uncertainty and randomness. It provides a framework for understanding and quantifying uncertainty in various fields, including statistics, data analysis, machine learning, finance, physics, and more.

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C++ Pointers and References

2 hours

17 chapters

Intermediate

Unlock the Power of Memory Manipulation. Dive deep into the fundamentals of programming with this comprehensive course designed for beginners and individuals seeking to strengthen their knowledge on pointers and references in C++. Mastering these essential concepts is crucial for unleashing the full potential of your programming skills. Let's start!

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C++ Loops

1 hour

11 chapters

Beginner

C++ Loops from scratch. Master one of the fundamental building blocks for programming. This course is perfect for beginners and those looking to solidify their understanding of loops.

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C++ Functions

3 hours

20 chapters

Intermediate

Explore the world of C++ functions and delve into their fundamental concepts and practical applications. Gain proficiency in declaring, using, and optimizing functions, including parameter handling, scope management, and function overloading. Learn about recursion, templates, and lambda expression for robust C++ programming. Develop the skills to create modular, efficient, and reusable functions for real-world coding challenges.

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Getting into NumPy Basics

1 hour

7 chapters

Intermediate

In this project, we will delve into the fundamentals of NumPy, exploring its core features and uncovering the reasons behind its significant impact on scientific computing. By understanding its architecture and capabilities, we will grasp why it is considered an essential tool for data scientists, researchers, and developers working in the realm of data analysis, machine learning, and beyond.

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Image Synthesis Through Generative Networks

3 hours

19 chapters

Advanced

Discover the artistry behind image generation using generative networks in our course. From theory to practice, delve into the world of generative networks, unlocking the secrets to crafting captivating images from data.

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Software Architecture Fundamentals

2 hours

17 chapters

Intermediate

Software architecture is essential for building scalable, maintainable, and high-performing software systems. This course provides a comprehensive introduction to core design principles and practices, covering both high-level and low-level concepts. We will explore key architectures and modern development techniques, gaining the skills needed to design effective solutions for real-world projects.

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Departments' Revenue Analysis

1 hour

7 chapters

Intermediate

We will use pandas to analyze departmental data by exploring, cleaning, and manipulating the dataset. Starting with basic inspection and data cleaning, we'll perform filtering, merge datasets, apply advanced filtering using multiple conditions, and finally group the data to extract meaningful insights.

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Linear Regression with Python

2 hours

19 chapters

Intermediate

Linear Regression is a crucial concept in predictive analytics. It is widely used by data scientists, data analytics, and statisticians as it is easy to build and interpret but powerful enough for many tasks.

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Classification with Python

4 hours

28 chapters

Intermediate

In machine learning, classification is used in predictive modeling to assign input data with a class label. Sounds difficult? Don't worry! Let's cope with this! Welcome to the ML!

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Mathematics for Data Analysis and Modeling

3 hours

21 chapters

Intermediate

To study many applied disciplines, it is necessary to have basic knowledge of higher mathematics and linear algebra. Mathematics is often used in data analysis, system modeling, building machine learning models, etc. Let's look at some of the most important topics and learn how to use the mathematical apparatus to solve real problems.

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Organizing Date and Time Data for Analysis and Applications

1 hour

7 chapters

Beginner

In this project, we are going to understand how to handle Date and Times in Python.

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C++ Smart Pointers

5 hours

29 chapters

Advanced

C++ Smart Pointers is your way to unlock the power of memory management. Designed seasoned programmers, this course provides a deep dive into one of the most crucial aspects of modern development and revise about pointers and references. With Smart Pointers, you'll learn how to effectively manage memory allocation and deallocation, avoiding common pitfalls like memory leaks and dangling pointers. Our expert instructors guide you through the intricacies of unique_ptr, shared_ptr, and weak_ptr, empowering you to write safer and more robust code.

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