{"id":10138,"date":"2024-12-23T02:00:00","date_gmt":"2024-12-22T19:00:00","guid":{"rendered":"http:\/\/localhost\/fstudy\/courses\/ebook-data-analytics-for-finance-using-python-co-ban-dich-tieng-viet\/"},"modified":"2024-12-23T02:00:00","modified_gmt":"2024-12-22T19:00:00","slug":"ebook-data-analytics-for-finance-using-python-co-ban-dich-tieng-viet","status":"publish","type":"courses","link":"https:\/\/studaca.online\/courses\/ebook-data-analytics-for-finance-using-python-co-ban-dich-tieng-viet\/","title":{"rendered":"Ebook Data Analytics for Finance Using Python (C\u00f3 b\u1ea3n d\u1ecbch Ti\u1ebfng Vi\u1ec7t)"},"content":{"rendered":"<p>Views<\/p>\n<p>Ebook Introduction: &#8220;<br \/>Data Analytics for Finance Using Python<br \/>&#8220;<br \/>Discover the transformative power of <br \/>data analytics<br \/> in the financial world with this all-in-one guide. <br \/>Data Analytics for Finance Using Python<br \/> is your ultimate companion for decoding the complexities of financial markets using cutting-edge tools and techniques.<br \/>In this ebook, you&#8217;ll embark on a comprehensive journey to explore:<br \/>Techniques for uncovering <br \/>hidden patterns and trends<br \/> in financial data.<br \/>Building <br \/>predictive models<br \/> to support smarter investment decisions.<br \/>Utilizing <br \/>machine learning<br \/> and inferential statistics for advanced insights.<br \/>Real-world applications, including stock price prediction and portfolio optimization.<br \/>Packed with <br \/>practical case studies<br \/>, it bridges the gap between theoretical knowledge and real-world finance, empowering professionals and researchers to leverage data for decision-making and success.<br \/>Whether you&#8217;re aiming to refine your skills as a finance professional or explore innovations in <br \/>data-driven insights<br \/>, this ebook equips you with the knowledge to <br \/>stay competitive, make informed decisions, and drive impactful results.<br \/>B\u1ea1n s\u1ebd \u0111\u01b0\u1ee3c h\u1ecdc:<br \/>Stock Investments Portfolio Management by Applying K-Means Clustering.<br \/>Predicting Stock Price Using the ARIMA Model.<br \/>Stock Investment Strategy Using a Logistic Regression Model.<br \/>Predicting Stock Buying and Selling Decisions by Applying the Gaussian Na\u00efve Bayes Model Using Python Programming.<br \/>The Random Forest Technique Is a Tool for Stock Trading Decisions.<br \/>v.v&#8230;<\/p>\n<p>Link g\u1ed1c:<\/p>\n<p>https:\/\/www.routledge.com\/Data-Analytics-for-Finance-Using-Python\/Untwal-Kose\/p\/book\/9781032618234?srsltid=AfmBOorw4TppMgnCnZH1pRxk9R4Gs1ZGiQdcoxbIC-gM-iEp3FHDE6tL<\/p>\n<p>Page Length: <br \/>173 pages<\/p>\n<p>Instructor<br \/>:\u00a0Nitin Jaglal Untwal,\u00a0Utku Kose<br \/>Total Weight: <br \/>14.1 MB<br \/>** Note<br \/>: \u00a0<\/p>\n<p>Ch\u00fa \u00fd:<\/p>\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Views Ebook Introduction: &#8220;Data Analytics for Finance Using Python&#8220;Discover the transformative power of data analytics in the financial<\/p>\n","protected":false},"author":1,"featured_media":9803,"template":"","course-category":[81],"course-tag":[],"class_list":["post-10138","courses","type-courses","status-publish","has-post-thumbnail","hentry","course-category-it"],"_links":{"self":[{"href":"https:\/\/studaca.online\/api\/wp\/v2\/courses\/10138","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/studaca.online\/api\/wp\/v2\/courses"}],"about":[{"href":"https:\/\/studaca.online\/api\/wp\/v2\/types\/courses"}],"author":[{"embeddable":true,"href":"https:\/\/studaca.online\/api\/wp\/v2\/users\/1"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/studaca.online\/api\/wp\/v2\/media\/9803"}],"wp:attachment":[{"href":"https:\/\/studaca.online\/api\/wp\/v2\/media?parent=10138"}],"wp:term":[{"taxonomy":"course-category","embeddable":true,"href":"https:\/\/studaca.online\/api\/wp\/v2\/course-category?post=10138"},{"taxonomy":"course-tag","embeddable":true,"href":"https:\/\/studaca.online\/api\/wp\/v2\/course-tag?post=10138"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}