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Social Media & Web Analytics Training

Become an expert in the space of Social Media & Web with Certification Course in Social Media Analytics. Boost your career in the space of Digital Marketing and Social Media Marketing with Statistical Analysis, Machine Learning, Predictive Analytics, and many more.
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"Create your digital footprint with Social Media Analytics. The market is expected to grow $20.65 billion by 2025." -  (Source - Modern Intelligence). The Digital Marketing sector in India is valued at $400 million and the social media analytics market is 5% which roughly comes to $20 million. Social Media analytics is perhaps the best route to inspire a connection between your audience and brands and social media provides a wonderful platform for nurturing this bond. It acknowledges your relationship with your consumer and gives feedback regarding how your content or messages are perceived by your audience. Stats reveal that in 2021 there will be around 800 million active Internet users and 451 million social network users in India. The average Indian social media user hangs out for 17 hours on social media platforms each week and downloads more apps than residents of any other country.

Social Media & Web Analytics

Program Cost

INR 12,000/-

Social Media & Web Analytics Course Overview

This social media and web analytics course will enable participants to design a Social Media Marketing strategy combining IoT, Cloud Computing, Machine Learning, and Artificial Intelligence. The course begins with an overview of digital marketing concepts, devising KPI's and other performance metrics in digital marketing. The course instructs the aspirant on the techniques used to extract social media comments and analyze unstructured textual data. This course will teach you to apply network analytics and identify key influencers for marketing. Understand the science behind the Google ranking algorithm Google Adwords and decide upon the right metrics. Get acquainted with ad quality score and landing page quality. Learn digital attribution and combine IoT, Cloud Computing, Machine Learning and Artificial Intelligence to craft a winning marketing strategy. Discover the mobile analytics ecosystem and master location-based analytics and its applications to digital marketing in the best Social Media analytics training institute.

What is Social Media Analytics?

Social Media Analytics is one crucial business tool that analyzes data collected from various social media sites and blogs and then derives valuable insights to facilitate better content and business decisions. It is used to unearth customer opinion to brace marketing and customer service activities. Initially, the analyst collects the data and determines which business goals the data that is gathered will benefit which usually involve revenues and costs. Then the analyst will devise Key Performance Indicators (KPIs) to evaluate business analytics data. The popular social media analytics tools are R, Python, and TensorFlow.

Social Media Analyst?

Social Media Analysts gather data to devise brand maintenance strategies across social media platforms. The person must be skilled in online communication and Search Engine Optimization. The incumbent must also devise new ways to increase sales via new platforms, increase brand visibility, and writing strategies to engage with Internet audiences via social media.

Social Media Analyst Tasks

1. Collate, organize, and store information collected from social media including metadata in databases.
2. Produce content on social media platforms for the company as per guidelines.
3. Develop KPIs to track and comprehend brand and customer perceptions and behavior.
4. Create reports to senior management on the performance of the brand, gaps, and opportunities.
5. Apply data-driven analytic techniques and statistical methods to extract valuable insights from the data collected.

Social Media & Web Analytics Learning Outcomes

The primary aim of this Social Media and Web Analytics course is to coach the aspirant to become proficient in analyzing unstructured data such as social media comments and customer reviews to understand the sentiments of customers. Students will apply network analytics and devise KPI's and other digital marketing metrics. The student will also learn about Ad quality score, landing page quality, etc. Advanced analytics with machine learning algorithms is the key takeaway of this course. Here the aspirant learns to build prediction models on the number of people who might click on ads and buy products. Digital attribution is the integration of a company's strategy with the most appropriate digital channel like IoT, Cloud Computing, and Machine Learning. Understand the different features of digital attribution. Various machine learning algorithms to predict increasing clickthrough rate and throughput rates are discussed. Students will learn to combine IoT, Cloud Computing, Machine Learning, and Artificial Intelligence to craft a winning marketing strategy. Mobile analytics used for futuristic marketing is also on the agenda of this social media analytics course. This is undoubtedly one of the best Social Media and Web Analytics courses in the industry.

Become proficient in analysing unstructured data such as social media comments, customer reviews to understand the sentiments of the customers
Decode data and arrive at an effective social media strategy
Use Machine Learning techniques to predict on increasing click through rate & through put rate
Understand mobile analytics for futuristic marketing

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Who Should Sign Up?

  • Marketing Managers or Directors
  • Brand Managers
  • Sales Managers or Directors
  • Public Relations (PR) Professionals
  • Business Development Managers and Directors
  • Senior Operations Managers and Directors
  • Senior Executives
  • Business Owners, etc.

Social Media & Web Analytics Course Modules

The premier modules of this Social Media Analytics course discuss the foundations of digital marketing and the criticality of social media marketing to any organization. This module also teaches students how to devise KPIs and other common metrics of digital marketing. The process of text mining is the central theme of the next module. In this module, students will understand how to extract comments from the web and social media and analyze this unstructured text data. The techniques of network analytics allow us to identify the influencers of the marketing campaign. These techniques feature in a separate module with a real-life case study. The science behind the Google ranking algorithm Google Adwords which is probability driven is the focus of another module. The concluding modules introduce the student to the mobile analytics ecosystem and the rudiments of location-based analytics.

Understand the digital landscape and how it impacts the organization. The prime focus of this module will be devising KPIs and Metrics in Digital Marketing.

Customers speak about the brand and about the features they expect from the product / service. Understand how to extract these comments from web and social media and analyse this unstructured textual data.

Persons with maximum connections on social media is not always the best perform to market our products/services to. We have to perform network analytics to select influencers for the marketing campaign. This modules teaches you techniques to identify such influencers. It also includes a real life case study.

Understanding the science behind the Google ranking algorithm and deciding upon the right metrics, which is probability-driven is the prime focus of this module. Learn about Ad quality score, landing page quality and many more terminologies as part of this module.

Learn how to use Machine Learning algorithms to predict the success of digital marketing campaigns.Also learn to predict on the number of people who might click on ads and how many of these will purchase a product /service. Learn advanced data analytics in digital marketing as part of this module.

Learn how to integrate your marketing strategy with IoT, Cloud Computing, Machine Learning, and Artificial Intelligence. Learn to select the most appropriate marketing channel for your digital marketing plan in this module.

The number of smart phone users will grow exponentially in the future. Advertising your products on smart phones and other mobile devices assumes great importance. This module introduces the student to the mobile analytics ecosystem and the concepts of location based analytics.

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