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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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Explore racial health inequity's roots, insurance system impacts, access barriers, and resilience in marginalized communities. Gain insights into historical and systemic factors shaping healthcare disparities.
Explore how social factors, environments, and policies shape health outcomes and disparities across populations, with a focus on conceptual models and practical implications.
Enhance language skills using AI tools, personalized lessons, and strategic approaches. Learn to leverage AI responsibly, identify strengths, and create tailored learning plans for any language and skill level.
Explore approaches to address racial inequity in healthcare, from legal and policy interventions to provider training, quality improvement, and community partnerships. Gain insights on anti-racism and reparations in achieving health equity.
Discover how to extract valuable insights from large datasets using Python, covering itemsets, vectors, matrices, and sequences with real-world applications.
Develop data visualization skills using R and ggplot2 for public sector analysis. Learn to create informative charts, explore distributions, and apply best practices in data presentation for public administration.
Giving and getting individual feedback is one thing. But the dynamics are different when the feedback involves an entire team. Big teams, small teams, remote teams—this course will help you develop effective feedback systems for them all.
Explore how AI reshapes workplaces, job roles, and business relationships while learning to develop effective policies for successful AI integration and workforce adaptation.
Explore health impacts of chemicals in consumer products, focusing on exposure assessment, regulations, and life cycle analysis. Learn to identify chemicals of concern and evaluate alternatives.
Explore Python programming for creative design, from basics to advanced data structures. Learn Processing for visual, interactive media. Develop skills to bring design concepts to life with precision and efficiency.
Master debugging and extending Python code using NumPy, pandas, and SciPy while applying the OILER framework to analyze complex datasets and create clean, maintainable documentation.
Master a systematic approach to Python debugging with the OILER framework, learning to write clean code, identify errors, and utilize resources like documentation and LLMs.
Master statistical techniques with Python, using NumPy, Pandas, and SciPy for data science problems. Explore vector operations, probability, data distributions, linear relationships, and statistical inference.
Discover how to enhance your reasoning abilities using generative AI to analyze complex information, question assumptions, and make better decisions in professional and personal contexts.
Explore network analysis using Python's NetworkX to understand complex systems, disease spread, and social media information flow through advanced algorithms and real-world applications.
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