{"version":"1.0","provider_name":"THE AI SCHOOL","provider_url":"https:\/\/theaischool.co\/ph","author_name":"deepak","author_url":"https:\/\/theaischool.co\/ph\/author\/deepak\/","title":"Data Analysis with Python - THE AI SCHOOL","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"RwTjUmGyBr\"><a href=\"https:\/\/theaischool.co\/ph\/wpeducation\/data-analysis-with-python\/\">Data Analysis with Python<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/theaischool.co\/ph\/wpeducation\/data-analysis-with-python\/embed\/#?secret=RwTjUmGyBr\" width=\"600\" height=\"338\" title=\"&#8220;Data Analysis with Python&#8221; &#8212; THE AI SCHOOL\" data-secret=\"RwTjUmGyBr\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/theaischool.co\/ph\/wp-content\/uploads\/2024\/12\/13-1.png","thumbnail_width":769,"thumbnail_height":417,"description":"Register Micro Credentials Overview Overview: Data Analysis with Python Python has become a dominant language in data analysis due to its simplicity, flexibility, and rich ecosystem of libraries. This workshop introduces participants to the tools and techniques needed to perform effective data analysis using Python. Through hands-on exercises, participants will learn how to clean, manipulate, visualize, and derive insights from data, making it ideal for decision-making and research. Curriculum by Industry Expert Mentors are Tech leads Practicle Learning Approach Skill Level Beginner to Advance Certification of Completion Tools Tools you master What will you learn Introduction to Data Analysis and Python Overview of data analysis and its importance. Why Python is popular for data analysis. Introduction to Jupyter Notebooks for coding and visualization. Working with Data in Python Understanding data types and structures in Python. Using libraries such as NumPy and Pandas for data manipulation. Loading data from different file formats (CSV, Excel, JSON). Exploratory Data Analysis (EDA) Descriptive statistics: mean, median, standard deviation, etc. Analyzing data distributions and relationships. Creating summary tables and pivot tables. Data Visualization Using Matplotlib and Seaborn for data visualization. Creating various charts: line, bar, scatter, and heatmaps. Customizing plots for better readability and storytelling. Introduction to Advanced Techniques Basics of feature engineering and selection. Performing group operations and aggregations. Time series analysis and working with date-time data. Automating Data Analysis Tasks Writing reusable and modular Python scripts. Introduction to data pipelines using Python. Exporting analyzed data for reporting and sharing. Whom will you learn from ? Improve Your Personal \/ Professional Growth With Our GenAI Courses &nbsp; Your Certificate is Awaiting Industry-recognized certification Our certification in Data Analysis with Python showcases your expertise in leveraging powerful libraries like Pandas for data-driven insights. It\u2019s the key to unlocking advanced career opportunities in data analytics across industries. Effortless Sharing of Your Achievement Showcase your certification with ease! Share it on LinkedIn, your portfolio, or directly with employers to demonstrate your readiness for AI-driven roles in the workforce. Boost Your Professional Productivity Master advanced Python tools for data analysis to solve real-world problems, automate tasks, and drive insights. Enhance your efficiency in any data-driven role with powerful libraries like Pandas and NumPy. FAQ&#8217;s What is a Micro Credentials course? A Micro Credentials course is an online training session where participants can join from anywhere via the internet. It provides interactive sessions, presentations, and discussions in a virtual environment. How do I join a Micro Credentials course? After registering, you will receive an email with a link and instructions to access the Micro Credentials course. You\u2019ll need a stable internet connection, a device (laptop or smartphone), and possibly a headset for the best experience. Will I get a certificate for attending? Yes, participants who complete the Micro Credentials course and meet any specified criteria will receive a certificate of participation. Can I interact with the instructor during the course? Absolutely! Our Micro Credentials courses are interactive, allowing participants to ask questions and participate in discussions through chat or video\/audio during designated Q&amp;A sessions. What if I miss the live session? If you miss the live session, a recording of the Micro Credentials course will be available for a limited time. You can access it through your account on our website."}