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SQL is essential for managing and manipulating relational databases. It allows efficient querying, updating, and organizing data, making it a critical skill for backend development and data analysis.

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Introduction to SQL

4.8

(1570)

98 STUDYING NOW

Introduction to SQL

4 hours

41 chapters

Beginner

This course is for you if you are new to SQL, you want to quickly learn how to get the most out of SQL and you want to learn how to use SQL in your own application development.

course

Intermediate SQL

4.6

(514)

94 STUDYING NOW

Intermediate SQL

3 hours

25 chapters

Intermediate

This course is perfect for those who already have a basic understanding of SQL and want to delve into more advanced concepts to craft more powerful queries. Throughout the course, you will become familiar with data grouping and filtering grouped data. You will also learn how to work with multiple tables simultaneously, including how to combine them. Additionally, you will explore different types of table joins and how to apply them in practice.

course

Advanced Techniques in SQL

4.7

(6)

38 STUDYING NOW

Advanced Techniques in SQL

4 hours

23 chapters

Advanced

Begin an exciting journey through SQL with Advanced Techniques in SQL. Learn about the important ACID properties that help keep data accurate in database transactions. Discover advanced ways to optimize your queries to improve database performance. Explore special SQL features like window functions, triggers, Data Control Language (DCL), and NoSQL databases. This will help you handle modern database management confidently and effectively.

course

Relational Database and Normalization

4.6

(249)

21 STUDYING NOW

Relational Database and Normalization

1 hour

12 chapters

Beginner

This course delves into the theory behind relational databases. You'll learn what they are and see how they differ from non-relational databases. Throughout the course, we'll walk you through the ins and outs of database design and familiarize you with various types of relationships. Additionally, you'll explore the concepts of normalization and normal forms, equipping you with the knowledge to craft efficient and optimized databases.

Introduction to SQL

4.8

Intermediate SQL

4.6

Advanced Techniques in SQL

4.7

Relational Database and Normalization

4.6

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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.

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Only for Ultimate

Recognizing Handwritten Digits

5.0

(1)

Recognizing Handwritten Digits

2 hours

10 chapters

Advanced

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