Python Basics
Learn the fundamentals of Python programming.
𝐃𝐚𝐭𝐚 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐬 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧
Understand lists, tuples, sets, and dictionaries in Python.
OOPs
All OOPs concept included Encapsulation, Inheritance, manipulators .
𝐄𝐱𝐩𝐥𝐨𝐫𝐚𝐭𝐨𝐫𝐲 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 (𝐄𝐃𝐀)
Learn how to explore, clean, and visualize datasets using Python libraries like Pandas, NumPy, and Matplotlib to uncover meaningful insights and patterns.
𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏)
Explore techniques to process and analyze human language using Python libraries like NLTK, spaCy, and Transformers. Learn text sentiment analysis, and building language models.
𝐌𝐚𝐭𝐩𝐥𝐨𝐭𝐥𝐢𝐛
Master data visualization with Matplotlib — create line plots, bar charts, histograms, and scatter plots to clearly represent data insights and trends using Python and detailed graphs for clear data representation.
𝐌𝐋 𝐀 𝐭𝐨 𝐙
Cover the complete journey of Machine Learning — from data preprocessing and model building to evaluation and deployment using Python.
𝐏𝐚𝐧𝐝𝐚𝐬 𝐂𝐡𝐞𝐚𝐭𝐬𝐡𝐞𝐞𝐭
Quick reference guide to essential Pandas functions — learn data cleaning, filtering, grouping, and manipulation for efficient data analysis.
𝐉𝐚𝐯𝐚 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 & 𝐀𝐧𝐬𝐰𝐞𝐫𝐬
Comprehensive collection of top Java interview questions with answers and more.
𝐃𝐚𝐭𝐚 𝐂𝐥𝐞𝐚𝐧𝐢𝐧𝐠
Learn to handle missing values, remove duplicates, and fix inconsistent data using Pandas and NumPy to prepare high-quality datasets for analysis.
𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐟𝐫𝐨𝐦 𝐒𝐜𝐫𝐚𝐭𝐜𝐡
Understand the core concepts of Deep Learning by building neural networks from scratch using Python and NumPy, just pure fundamentals.
𝐂𝐑𝐔𝐃 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬
Learn to perform Create, Read, Update, and Delete operations in databases using Python and SQL — the foundation of all data-driven applications.
𝐓𝐨𝐩 800+ 𝐒𝐐𝐋 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬
Extensive collection of SQL questions and solutions covering queries, joins, subqueries, aggregations, and database concepts to boost your SQL skills.
𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬 𝐟𝐨𝐫 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠
Understand the basic math concepts like linear algebra, calculus, and probability for building ML models.
𝐇𝐨𝐰 𝐭𝐨 𝐁𝐞𝐜𝐨𝐦𝐞 𝐚 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫
Learn key steps to master AI, deep learning, prompt engineering, and build generative AI models.