Intro to Bayesian Stats in Python

Don't Use This Code

<h2>Summary</h2><p>Are you interested in learning how to use Bayesian statistics to make probabilistic inferences in Python? Then join us for our exciting seminar that will introduce you to the power of Bayesian statistics and show you how to implement Bayesian models using popular Python libraries like NumPy and SciPy.</p><p>No prior experience with Bayesian statistics is required - our expert instructor will guide you through the fundamentals of Bayesian hypothesis testing, parameter estimation, and model selection. You'll learn how to interpret and visualize the results of your analyses, and gain valuable insights into how Bayesian statistics differs from traditional statistical methods.</p><p>This seminar is perfect for anyone looking to expand their knowledge of Python and statistics, whether you're a seasoned data analyst or just starting out. We will cover plenty of examples to help you grasp the concepts, and you'll leave with the skills and confidence to apply Bayesian statistics to your own research or data analysis projects.</p>

<h2>Presenter:<em> Cameron Riddell</em></h2><p><strong>Cameron Riddell</strong> joined Don’t Use This Code in 2021. Prior to joining our team, he worked in academia studying various aspects of psychology, including the neural activity underlying social interaction, perception of taste, and human memory. His studies naturally led him to learn Python, which he has been writing for over 8 years with a strong emphasis on data analytics and scientific communication.</p><p>As our resident pandas &amp; Matplotlib expert, Cameron takes a uniquely data-driven, analytical approach to his work and research. He enjoys sharing his knowledge both in and out of the classroom; in fact, he is ranked in the top 4% of all answerers on Stack Overflow. Thanks to his efforts, people overcome their coding challenges! His academic background and focus on programmatic thinking bring a great perspective to the training team at Don’t Use This Code.</p>

<h2>Presented by: Don't Use This Code</h2><p>Don't Use This Code is a professional training, coaching, and consulting company deeply invested in open source technologies, centered around the PyData stack for scientific and numeric computing. We are dedicated to bringing better processes and a better understanding of these powerful tools.</p><p>We are continually seeking new partners, clients, and engagements for our services. Organizations looking to better employ these tools would benefit from our wide range of training courses on offer (<a href="https://learning.dutc.io" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">learning.dutc.io</a>), ranging from an intensive introduction to Python fundamentals to advanced applications of Python for building large-scale production systems. Working with your team, we can craft targeted curricula to meet your training goals. We are also available for consulting services, such as building scientific computing and numerical analysis systems using technologies like Python and React.</p><p>We pride ourselves on delivering top-notch training uniquely valuable to each individual attendee, and we do so by investing in three key areas: our content, our processes, and our contributors.</p><h2></h2>

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Intro to Bayesian Stats in Python

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Intro to Bayesian Stats in Python

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