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  <div class="vevent h-event"> <h1 class="summary p-name">Data Science with Python Training</h1> <div class='date'><time class="dtstart dt-start" title="2023-05-18T00:00:00" datetime="2023-05-18T00:00:00">Thursday, May 18, 2023 at midnight</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202390270'><span class='fn org p-name'>Online</span></a> <div class="adr p-adr h-adr"> <div class="street-address p-street-address">placeholder for on-line events</div> (<a href='https://maps.google.com/maps?q=placeholder%20for%20on-line%20events,%20%20%20%20'>map</a>) </div> </div> <div class="description p-description"> <p>With the aid of thorough and well-explained examples, this tutorial on data science with Python will assist you in learning the fundamentals of Python as well as various data science techniques necessary for 2023, including data preprocessing, data visualization, statistics, creating machine learning models, and much more. Both newcomers and some experienced experts will benefit from this tutorial's guidance in becoming Python data scientists. Data science is a related subject that uses statistical and computational techniques to draw valuable knowledge and information from data. Python is a well-liked and adaptable programming language that has recently gained popularity among data scientists for its usability, sizable library, and flexibility. Python offers a fast and effective method for handling complicated data structures and extracting insights. <a href="https://www.igmguru.com/data-science-bi/python-training/">Data Science with Python Training</a> gives you a complete overview of Python’s data analytics tools and techniques. Learning Python is a crucial skill for many data science roles, and you can develop it with this Python data science course.</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="https://www.igmguru.com/data-science-bi/python-training/">Website</a></li> </ul> </div>