Python courses

Introduction to Python

12 hours

126 chapters

Beginner

Python is an interpreted high-level general-purpose programming language. Unlike HTML, CSS, and JavaScript, which are primarily used for web development, Python is versatile and can be used in various fields, including software development, data science, and back-end development. In this course, you'll explore the core aspects of Python, and by the end, you'll be crafting your own functions!

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Conducting A/B Test

2 hours

14 chapters

Intermediate

In the world of business, making decisions based on hard data rather than intuition can be the key to success. This course focuses on one crucial technique: analyzing A/B test data. The centerpiece of the course is a project where you'll conduct a detailed analysis of an A/B test. This project, which you can showcase in your CV, is hosted on Codefinity, allowing you to continually refine it and demonstrate your growing expertise.

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Data Types in Python

3 hours

34 chapters

Beginner

This course is going to help you dive deeper into data types and try to work with them. Here you will learn basic operations and all ins and outs of numbers, boolean data type, and strings. This course consists of a lot of practical tasks after which you will become a skillful programmer.

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Pandas First Steps

4 hours

34 chapters

Intermediate

Pandas is an extremely user-friendly library for data analysis. It's also designed to handle large datasets, using data structures like DataFrame and Series. This makes it an invaluable tool for Data Science. In this guide, you'll get acquainted with a range of statistical functions, including how to find correlations, modes, medians, and maximum and minimum values within a dataset. You'll also learn how to handle missing values and manipulate specific values, as well as how to remove them.

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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

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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Python Data Structures

7 hours

72 chapters

Beginner

In this course, you'll get to know the fundamental data structures of the Python programming language. We'll explore utilizing Python's native data structures like lists, dictionaries, tuples, and sets to tackle different challenges.

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Conditional Statements in Python

2 hours

17 chapters

Beginner

This mini-course is designed to introduce you to all the nuances of the conditional operator if-else. The course is filled with examples to better understand the use of such an operator, as well as tasks to consolidate the acquired skills. Here you will also get acquainted with the if-elif-else statements.

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Cyber Security Fundamentals

2 hours

20 chapters

Beginner

This course is designed to provide participants with a comprehensive introduction to the essential principles and practices of cybersecurity. In today's digital age, where technology is pivotal in every aspect of our lives, understanding and implementing robust cybersecurity measures is paramount.

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Introduction to Blockchain

2 hours

18 chapters

Beginner

Explore the revolutionary world of blockchain technology and its first and most prominent application, Bitcoin. Delve into the intricacies of how blockchain functions, the technical underpinnings of Bitcoin, and the broader implications and future trends in this dynamic field. Gain a well-rounded understanding of the technology that is reshaping industries and challenging traditional notions of currency and data security.

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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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Python Advanced Concepts

11 hours

64 chapters

Advanced

You will acquire practical skills in Python's modules and imports for efficient code management. Master advanced Error Handling techniques for more reliable applications, automate file operations with File Handling, and learn robust testing strategies with Pytest and Unittest to ensure your code's integrity.

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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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Job Search Mastery

2 hours

20 chapters

Beginner

The course provides a comprehensive guide to navigating the job search process, covering key areas such as creating a strong LinkedIn profile, developing an effective resume, and writing personalized cover letters. It also addresses strategies for organizing job applications, networking, and enhancing online presence. Additionally, we will provide insights into technical and behavioral interview preparation.

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Python Loops Tutorial

2 hours

22 chapters

Beginner

Python provides three ways for executing the loops. While all the ways provide similar basic functionality, they differ in their syntax and condition checking time. Today we start learning these loops. Welcome to Python Loops Tutorial!

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