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C is a foundational programming language known for its efficiency and close-to-hardware capabilities. It's widely used in system programming, embedded systems, and operating systems, providing a solid foundation for understanding computer architecture.

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C Basics

4.7

(47)

36 STUDYING NOW

C Basics

3 hours

38 chapters

Beginner

This course offers a thorough introduction to the C programming language. Participants will delve into the core concepts, syntax, and structures of C, equipping them to craft basic programs. Key areas of focus encompass variables, data types, control structures, functions, arrays, and pointers. Engaging hands-on activities and projects will provide learners with tangible experience in problem-solving using C. Upon concluding this course, participants will possess a robust understanding of C programming and be primed to explore more intricate subjects.

C Basics

4.7

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Ruslan Kravchuk

The main thing is to learn and not give up

The material is good, there is a lot to learn, all in order to become better and the main thing is to learn what you want....

Matteo Comune

Thanks to them I'm learning a lot…

Thanks to them I'm learning a lot faster because they help you to understand everything from scratch. It's the best website that helps people with no background in IT...

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great course for beginners

great course for beginners, they test your knowledge in every lesson...

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First time learning how to code

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Conducting Exploratory Data Analysis of Nobel Prizes

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Conducting Exploratory Data Analysis of Nobel Prizes

4.5

(4)

2 STUDYING NOW

Conducting Exploratory Data Analysis of Nobel Prizes

1 hour

6 chapters

Intermediate

We will delve into the concept of Exploratory Data Analysis (EDA) and explore its critical role within every Data Analysis process, particularly focusing on the analysis of Nobel Prizes. EDA serves as a foundational step that enables data scientists and analysts to uncover patterns, anomalies, and insights from data through visual and statistical methods.

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Extracting Text Meaning using TF-IDF

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2 STUDYING NOW

Extracting Text Meaning using TF-IDF

2 hours

12 chapters

Intermediate

This project focuses on the design and implementation of a robust text summarizer, built using Python. By harnessing the capabilities of Python’s Natural Language Toolkit (NLTK), participants will gain hands-on experience in processing and analyzing textual data. The project covers a range of NLP techniques essential for text summarization. Participants will develop skills in parsing text and extracting meaningful content, learning how to filter essential information from large volumes of text.

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Manipulating and Combining PDFs

4.6

(5)

5 STUDYING NOW

Manipulating and Combining PDFs

1 hour

9 chapters

Beginner

In this project, we will study how to manipulate and extract data from PDF files, such as text and images, and combine multiple PDF files into a single document.

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Recognizing Handwritten Digits

5.0

(1)

Recognizing Handwritten Digits

2 hours

10 chapters

Advanced

In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.

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Identifying the Most Frequent Words in Text

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Identifying the Most Frequent Words in Text

3.8

(4)

4 STUDYING NOW

Identifying the Most Frequent Words in Text

1 hour

11 chapters

Beginner

In this project, we will be utilizing the capabilities of the Natural Language Toolkit (NLTK), a versatile and comprehensive library in Python designed for working with human language data. Our focus will encompass several core areas of natural language processing: tokenization, stemming, tagging and parsing. These NLTK features will form the backbone of our text processing and analysis tasks, making it an essential tool in our project for handling and extracting meaningful insights from language data.

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Time Series Essentials

5.0

(1)

Time Series Essentials

1 hour

8 chapters

Intermediate

In this project, we are going to understand what a Time Series is and which are its main features.

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Automating Data Collection from Web Sources

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Automating Data Collection from Web Sources

4.0

(2)

4 STUDYING NOW

Automating Data Collection from Web Sources

1 hour

7 chapters

Intermediate

In this project, we are going to understand how to create a simple web scraper in Python.

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Getting into NumPy Basics

5.0

(1)

3 STUDYING NOW

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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Organizing Date and Time Data for Analysis and Applications

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Organizing Date and Time Data for Analysis and Applications

4.0

(5)

6 STUDYING NOW

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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Excel Automation with Python

4.0

(3)

6 STUDYING NOW

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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Conducting Exploratory Data Analysis of Nobel Prizes

4.5

(4)

2 STUDYING NOW

Conducting Exploratory Data Analysis of Nobel Prizes

1 hour

6 chapters

Intermediate

project

Only for Ultimate

Extracting Text Meaning using TF-IDF

new

2 STUDYING NOW

Extracting Text Meaning using TF-IDF

2 hours

12 chapters

Intermediate

project

Only for Ultimate

Manipulating and Combining PDFs

4.6

(5)

5 STUDYING NOW

Manipulating and Combining PDFs

1 hour

9 chapters

Beginner

In this project, we will study how to manipulate and extract data from PDF files, such as text and images, and combine multiple PDF files into a single document.

project

Only for Ultimate

Recognizing Handwritten Digits

5.0

(1)

Recognizing Handwritten Digits

2 hours

10 chapters

Advanced

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