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Data Science for Social Media Analytics Course

Training by  Trainingcred
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On-Site / Training
Apr 29, 2024 - May 10, 2024
USD  2,200.00

Details

Introduction
In today's digital age, social media platforms have become a treasure trove of valuable data. The Data Science for Social Media Analytics training course empowers participants to harness the power of data science techniques to extract insights and drive business strategies from social media data. This course equips participants with the necessary skills to unlock the potential of social media analytics and leverage it for informed decision-making and impactful marketing campaigns.
Why should you attend this training course?

The Data Science for Social Media Analytics course provides participants with a comprehensive understanding of the tools, techniques, and methodologies used in analyzing social media data. Participants will learn how to collect, clean, analyze, and visualize data from various social media platforms. The course covers text mining, sentiment analysis, network analysis, and predictive modeling specifically tailored for social media analytics.

Who will benefit from this course?
  • Data scientists
  • Social media analysts
  • Marketing professionals
  • Business intelligence analysts
  • Data enthusiasts interested in social media analytics
What are the Organizational and Professional Benefits of this course?

Organizational Benefits:

  • Enhanced understanding of target audience sentiments and preferences on social media platforms
  • Improved customer segmentation and personalized marketing campaigns
  • Identification of key influencers and brand ambassadors for strategic partnerships
  • Data-driven decision-making based on real-time social media insights
  • Competitive advantage through leveraging social media analytics for business growth

Professional Benefits:

  • Develop expertise in social media data analysis and data science techniques
  • Expand career opportunities in the field of social media analytics and digital marketing
  • Acquire skills to extract actionable insights from social media data for business impact
  • Stay ahead of the curve with the latest trends and advancements in social media analytics
What are the objectives of this course?

By the end of this course, participants will be able to:

  • Understand the role of data science in social media analytics and its impact on business strategies
  • Collect and preprocess social media data from various platforms
  • Apply text mining techniques to extract insights from social media text data
  • Perform sentiment analysis to gauge public opinion on social media
  • Conduct network analysis to identify influential users and communities
  • Develop predictive models to forecast trends and user behavior on social media
How do we train: Our Dynamic Training Approach

Training Methodology:

  • Engaging lectures and discussions to introduce data science concepts and techniques
  • Hands-on exercises and projects using real social media data
  • Practical examples and case studies from the industry to illustrate real-world applications
  • Interactive data visualization sessions to showcase social media analytics results
  • Collaborative learning environment to encourage knowledge sharing and networking

Outline

Module 1: Introduction to Social Media Analytics
  • Understanding the role of data science in social media analytics
  • Exploring the impact of social media data on business strategies
  • Overview of popular social media platforms and their data
Module 2: Data Collection and Preprocessing
  • Techniques for collecting social media data from various platforms
  • Cleaning and preprocessing social media data for analysis
  • Handling missing data and outliers in social media datasets
Module 3: Text Mining and Sentiment Analysis
  • Extracting insights from social media text data using text mining techniques
  • Performing sentiment analysis to gauge public opinion and sentiment trends
  • Analyzing trends and topics in social media conversations
Module 4: Network Analysis in Social Media
  • Understanding social network structures and relationships
  • Analyzing network properties and identifying influential users
  • Detecting communities and subgroups in social media networks
Module 5: Predictive Modeling for Social Media Analytics
  • Building predictive models to forecast trends and user behavior
  • Using machine learning algorithms for social media analytics
  • Evaluating and fine-tuning predictive models for optimal performance
Module 6: Data Visualization for Social Media Analytics
  • Creating compelling visualizations to communicate social media insights
  • Interactive dashboards and visual representations of social media data
  • Storytelling with data to drive impactful decision-making

Schedules

Apr 29, 2024 - May 10, 2024
No. of Days: 10
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Trainingcred Institute is a global institutional capacity building, technical and management consultancy firm with its head office in Nairobi, Kenya. Trainingcred  offers technical and management consultancy services as well as education and training services designed for individuals’ and groups from organizations working in public, not for profit and private sectors.

Trainingcred has identified itself with a niche market that largely comprises of Government ministries, departments and agencies (MDA’s) and UN agencies, Non-Governmental Organizations, from Africa, Europe, Asia, Middle-East and the Caribbean. We have also served academic institutions, international research organizations, financial institutions and private companies from across the globe.

Our education and training services are aimed helping individuals improve their professional knowledge, competence, skill, and effectiveness and enable the institutions to get the best out of their workforce. This is achieved through conducting high impact professional diploma and certificate courses, short courses, conferences, workshops and seminars.
Trainingcred Institute
Kenya
+254759509615
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