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leading-6"><p><strong>Python</strong> is one of the most popular tools for analytics or data science, today. And in the world of Python, <strong>Pandas</strong> library [which stands for Python for Data Analysis ] is really a game-changer when it comes to data importing, filtering, wrangling, manipulating, summarizing, or quickly plotting the data. This course will make you a pro in using Python Pandas for analytics.</p> <p>Who this course is for: Beginners willing to enter Analytics/Data Science/Machine Learning Analysts (any domain) wanting to learn Python Python developers wanting to learn Analytics/Data Science Learners with a passion to explore new areas</p></div> <div class="clearfix space30"></div> <div> <h2 class="md:!text-[1.75rem] text-[1.5rem] font-semibold mt-3 mb-2">Who can benefit?</h2> <div class="preview-description text-justify lg:!text-[1rem] leading-6"><ul> <li>Beginners willing to enter Analytics/Data Science/Machine Learning Analysts (any domain) wanting to learn Python</li> <li>Python developers wanting to learn Analytics/Data Science</li> <li>Learners with a passion to explore new areas</li> </ul></div> </div> <div> <h2 class="md:!text-[1.75rem] text-[1.5rem] font-semibold mt-3 mb-2">What you will learn?</h2> <span class="preview-description text-justify lg:!text-[1rem] leading-6"><ul> <li>Create, Import& Export Data Sets [Text, CSV, Excel, HTML, etc.] using Python Panda</li> <li>Data Exploration in Pandas [Missing values, Data Types & Typecasting, Cross tabulation, Descriptive Stats, Distribution]</li> <li>Finding aggregate summaries for different groups</li> <li>Merge or Append Data sets [Similar to SQL joins and much more]</li> <li>Clean Data for missing or invalid values in Pandas</li> <li>Data Visualization using Pandas [Selecting the right chart, creating quick plots in Pandas, & interpreting those]</li> </ul> <p> </p></span> </div> <div> <h2 class="md:!text-[1.75rem] text-[1.5rem] font-semibold mt-3 mb-2">How to get certified?</h2> <div class="preview-description text-justify lg:!text-[1rem] leading-6"><p>N/A</p></div> </div> </div> </div> <app-root> </app-root> </div> </div> </div> <div class="lg:w-3/12"> <app-course-price-info> </app-course-price-info> </div> </div> </div> <app-course-join></app-course-join> </div> <script> window.addEventListener('scroll', function () { const stickyElement = document.getElementById('stickyElement'); const previewhead = document.getElementById('previewhead'); if (window.scrollY >= 50) { stickyElement.classList.remove('hidden'); stickyElement.classList.add('block'); previewhead.classList.add('hidden'); previewhead.classList.remove('block'); } else { stickyElement.classList.add('hidden'); stickyElement.classList.remove('block'); previewhead.classList.add('block'); previewhead.classList.remove('hidden'); } }); </script> <link rel="stylesheet" href="/css/course-preview-app.css" /> <script src="/js/course-preview-app.js"></script> <!-- Footer --> <footer class="page-footer text-white p-2" style="background: #152F4F;"> <!-- Copyright --> <div class="footer-copyright text-center py-3"> © Copyright 2025 <a href="https://www.guruface.com/"> GuruFace Inc.</a> </div> <!-- Copyright --> </footer> <!-- Footer --> </body> </html>