|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-social-media-analytics/
课程评论：没有评论
课程名称：社交媒体分析的Python应用 课程概述：你是否准备将数据科学与社交媒体营销相结合，成为企业中不可或缺的人才？想要解锁社交媒体的潜力这一77%企业使用的工具，帮助企业在数据驱动的时代实现飞速增长吗？想象一下能够从社交媒体平台中提取可操作的洞察，优化营销策略，并直接影响业务成功的能力——这一切都通过数据的力量实现。在《社交媒体分析的Python应用》课程中，你将获得数据科学家和社交媒体营销人员的双重专业知识，站在商业智能的前沿。拥有这种综合技能，你不仅是数据专家，同时理解营销的细微差别，这使你成为那些希望通过数据驱动决策提升社交媒体投资回报率并推动增长的公司的不可或缺的资产。这样的能力让你在缺乏专业领域知识的数据科学专业人士中脱颖而出。 课程的独特特点： - 真实世界数据：使用通过365 DataScience的营销活动获取的真实社交媒体数据。 - 实践问题解决：强调务实的数据驱动方法来解决现实商业挑战。 - 全面技能培训：让你掌握社交媒体分析的热门技能，提升就业竞争力。 主要内容： - Python - 社交媒体分析 - 营销 - 数据分析 你将学到的内容： 本课程将指导你提取社交媒体数据的洞察，主要集中在Facebook营销上。 学习路径结构： 1. 社交媒体分析简介：本部分教你社交媒体分析的基础知识及其在营销成功中的应用，介绍消费与品牌之间的营销漏斗模型。 2. 社交媒体营销术语：学习数字营销中的常用术语，了解广告、广告组和广告活动等概念，以及Facebook（Meta）像素等数据收集机制。 3. 社交媒体指标：了解社交媒体营销人员如何追踪各种关键绩效指标（KPI），并通过数据分析优化未来的营销活动。该部分将指导你了解Facebook广告活动中跟踪的指标及其计算方式。 4. 在Facebook广告管理平台创建广告活动：学习如何使用Facebook Ads Manager创建和管理广告，深入理解营销人员如何制定社交媒体活动。 5. 使用Python分析真实的营销活动：在最后部分，运用之前学习的概念，分析一个真实的Facebook营销活动的表现，学习如何利用Python提取深层数据洞察，提供基于数据的可量化建议。 这门课是你突破自我的机会，立即报名，掌握这些技能！别让未来的成功机会溜走，让我们开始一起学习吧！
Ready to combine the power of data science with social media marketing and become an invaluable asset to any business?Do you want to unlock the potential of social media, a tool used by 77% of enterprises, and help businesses skyrocket their growth in today's data-driven world? Imagine being able to extract actionable insights from social media platforms, optimize marketing strategies, and directly influence business success-all through the power of data.In the Python for Social Media Analytics course, you'll gain the dual expertise of a data scientist and a social media marketer, putting you at the cutting edge of business intelligence. With this combined skillset, you'll not only be a data expert but also someone who understands the nuances of marketing-making you indispensable to companies aiming to boost their social media ROI and drive growth through data-driven decisions.Such abilities give you a competitive edge over data science professionals without domain expertise.Unique features of This Python For Social Media Analytics CourseReal-World Data: Utilizes real social media data acquired through 365 DataScience's marketing campaigns.Practical Problem Solving: Emphasizes a pragmatic, data-driven approach to address real-world business challenges.Comprehensive Skillset: Equips you with the in-demand skillset of social media analytics, differentiating you from other data professionals and enhancing your employability.Topics CoveredPythonSocial Media AnalyticsMarketingData AnalysisWhat You'll LearnThis course prepares you to extract insights from social media data, mainly focusing on Facebook marketing.A structured learning journey1. Introduction to Social Media AnalyticsThe first part of this course is designed to teach you the basics of social media analytics, and how it is used to drive marketing success.I will also teach you about the marketing funnel, which is a model that illustrates a consumer's journey with any brand.By the end of this section, you will be familiar with the fundamentals of social media marketing.2. Social Media Marketing TerminologyThis course segment takes you through the jargon commonly used in digital marketing.You'll learn the difference between terms like ads, ad sets, and campaigns, along with data collection mechanisms like the Facebook (Meta) Pixel.By the end of this section, you'll have a firm grasp of marketing concepts to work closely with marketing teams and aid in driving organizational success.3. Social Media MetricsSocial media marketers track various KPIs to measure the success of ad campaigns.These metrics are then analyzed to improve the performance of future marketing initiatives iteratively.This is where data analysts come in. Marketing teams work closely with data practitioners to uncover insights from social media performance metrics.But to deliver data-driven recommendations and improve campaign performance, you must first understand how marketing success is measured.This section guides you through the metrics tracked in Facebook campaigns and shows how they are calculated with real-world examples.4. Creating an Ad Campaign on Facebook Ads ManagerThis section covers how to use Facebook Ads Manager, which allows you to create and manage your ads on the Facebook platform.This will give you an understanding of how marketers create social media campaigns, allowing you to work closely with marketing teams and develop an understanding of the strategies employed during the campaign creation process.By the end of this segment, you'll understand how social media marketers create, run, and track advertisements on the Facebook platform.5. Analyzing a Real Marketing Campaign with PythonThis is the final part of this course, building on top of all the concepts taught in the previous sections.Having gained a grasp of various social media metrics and feeling at ease with the Ads Manager platform, you'll now learn to analyze a Facebook marketing campaign performance using Python.The dataset we will analyze in this section belongs to a real marketing campaign launched by 365DataScience.We'll extract data-driven insights beyond surface-level information to reveal how 365DataScience's marketing strategies performed.By the end of this section, you'll know how to analyze social media data with programming languages like Python.You'll also be capable of enhancing a business's Facebook marketing strategy by delivering quantifiable recommendations backed by data.Just go ahead and subscribe to this course! If you don't acquire these skills now, you will miss an opportunity to distinguish yourself from the others. Don't risk your future success! Let's start learning together now!
