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India banned Telegram after the NEET paper leak led to a retest for 2.28 million students. Class Central studied the scam, the money trail, and other platforms the leaks could move to.
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Introduction to Research Ethics: Working with People
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Rome: A Virtual Tour of the Ancient City
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Discover a tool-agnostic framework for effective data handling, emphasizing process over tools. Learn to adapt to new technologies and understand the importance of data literacy in today's changing landscape.
Explore codeless deep learning with KNIME Analytics Platform. Learn neural network basics, convolutional networks for computer vision, and build a classification model using KNIME's Keras integration.
Learn time series analysis using KNIME: preprocessing, alignment, imputation, forecasting, and evaluation. Build a demand prediction application with (S)ARIMA and machine learning models through hands-on, codeless examples.
Learn a systematic process to leverage machine learning for improved decision-making, focusing on actionable metrics, key levers, and embracing uncertainty to drive better business outcomes.
Introduction to Python for Excel users, covering key concepts, tools, and applications for data analysis. Learn to leverage your Excel skills in Python for enhanced analytics and visualization.
Comprehensive introduction to SQL for beginners, covering database basics, RDBMS types, data models, query writing, and integration with other tools. Ideal for aspiring data professionals.
Explore online experimentation and A/B testing strategies used by industry leaders. Learn to implement effective tests, understand experimentation levels, and leverage data for product improvement and growth acceleration.
Explore the importance of high-quality data in computer vision, focusing on data collection, annotation, and bias mitigation. Learn strategies for building representative datasets for AI models.
Explore causal behavioral modeling and discrete choice models for consumer demand. Learn about heterogeneity, market simulation, and applications in marketing science, with insights on neural network representations.
Explore methodologies for automating supervised machine learning pipelines, covering data cleaning, feature engineering, and model development. Gain insights from experienced data scientists on best practices and techniques.
Explore advanced NLP techniques for enterprise search query expansion, leveraging unsupervised machine learning to analyze term relationships and improve complex technical content discovery.
Learn to implement deep learning models efficiently using PyTorch Lightning, reducing boilerplate code and enabling advanced features like multi-GPU training and model sharding.
Learn to build accurate sales forecasts using Prophet and Python in just 15 lines of code. Discover how to leverage this powerful tool for various time series predictions, from market trends to weather forecasting.
Explore cybersecurity data analysis challenges, tools, and solutions. Learn about security roles, threat detection, cloud security, and automated response systems to protect organizations from cyber threats.
Explore data analysis challenges in cybersecurity, including event monitoring, threat detection, and intelligence gathering. Learn tools and solutions for effective cyber threat protection.
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