All Courses & Projects

Building a Classic Snake Game

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.

Building a Classic Snake Game

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.

Conducting Exploratory Data Analysis of Nobel Prizes

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.

Extracting Text Meaning using TF-IDF

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.

Time Series Essentials

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

Best Practices: Python OOP

In this project, we are going to understand what Object Oriented Programming (OOP) is and how we can implement it in Python.

Fundamentals of Image Manipulation with Python

In this project, we are going to understand how to handle images in Python.

Identifying Spam Emails

Classify emails as spam or non-spam by analyzing the content of the emails. Preprocess the text data using techniques like tokenization and vectorization, and apply machine learning to build and evaluate a classification model. Develop a reliable tool for identifying spam emails.

Structuring Applications Using OOP Principles

This is a hands-on course that will help you understand the basics of object-oriented programming in Python. You will learn how to create classes, work with objects, use inheritance, and extend the capabilities of your programs.

Automating Data Collection from Web Sources

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

Clustering Media Content

Now we are going to understand what a cluster is and how to use it in Python. We will explore the concept of clustering, which involves grouping a set of objects in such a way that objects in the same group (or cluster) are more similar to each other than to those in other groups. Additionally, we will demonstrate how to implement clustering algorithms using Python's popular libraries, such as scikit-learn, to identify patterns and insights within your data.

Getting into NumPy Basics

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.

Creating Plots for Data Visualization

We'll explore various data visualization techniques and learn how to use them effectively. We'll cover topics such as box plots, line plots, bar plots, scatter plots, histograms, subplots, and heat maps. By the end of this project, you'll be able to create visualizations that communicate your data stories clearly and effectively.

Departments' Revenue Analysis

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.

Gaining Insights with Data Visualization

In this project, we are going to understand the meaning of Data Visualization and its powers.

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Type of lesson

Career tracks

Preparation for Data Science

Courses & Projects

Career tracks

Preparation for Data Science

track

Preparation for Data Science

Courses & Projects

Technologies