Certified Specialist Programme in Data Science for Social Media

Wednesday, 01 October 2025 01:12:31

International applicants and their qualifications are accepted

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Overview

Overview

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Certified Specialist Programme in Data Science for Social Media equips you with in-demand skills. Learn to leverage social media analytics.


This program is perfect for marketing professionals, social media managers, and data analysts. Master data visualization and predictive modeling techniques.


Understand social media sentiment analysis and improve your campaigns. Gain a Certified Specialist in Data Science for Social Media credential.


Unlock career advancement opportunities. Data science for social media is the future. Explore the program details today!

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Data Science for Social Media: Become a Certified Specialist! This intensive programme equips you with cutting-edge skills in social media analytics, sentiment analysis, and predictive modelling. Learn to leverage big data for impactful social media strategies. Gain in-demand expertise in Python, R, and visualization tools. Boost your career prospects in marketing, research, and data analysis. This unique programme includes hands-on projects and mentorship, ensuring you're job-ready with a globally recognized certification. Master data science techniques specifically tailored for the social media landscape. Unlock your potential with our Data Science for Social Media Certified Specialist Programme.

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Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Social Media Data Mining and Analytics
• Sentiment Analysis and Text Mining for Social Media
• Network Analysis and Social Graph Mining
• Social Media Marketing Analytics & Measurement
• Data Visualization and Storytelling for Social Media Insights
• Big Data Technologies for Social Media (Hadoop, Spark)
• Predictive Modeling and Machine Learning for Social Media
• Ethical Considerations in Social Media Data Science

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:

1 month (Fast-track mode): 140
2 months (Standard mode): 90

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Role (Data Science & Social Media) Description
Social Media Data Analyst Analyze social media data to understand customer behavior and improve marketing strategies. Extract actionable insights using data science techniques.
Social Media Data Scientist Develop advanced analytical models to predict social media trends and engagement. Design and implement algorithms for social listening and sentiment analysis.
Social Media Marketing Specialist (Data-Driven) Leverage data analysis to optimize social media campaigns and maximize ROI. Track key performance indicators (KPIs) and use data-driven insights to make informed decisions.
AI/ML Engineer (Social Media Focus) Develop and implement AI/ML models for social media platforms, such as chatbots or recommendation engines. Requires strong programming and machine learning skills.

Key facts about Certified Specialist Programme in Data Science for Social Media

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The Certified Specialist Programme in Data Science for Social Media equips participants with the in-demand skills needed to analyze vast social media datasets. This intensive program focuses on practical application, bridging the gap between theoretical knowledge and real-world social media analytics.


Learning outcomes include mastering social media data mining techniques, building predictive models for social media engagement, and effectively visualizing and presenting data-driven insights. Participants will gain proficiency in using popular data science tools and methodologies relevant to the social media landscape. You'll learn to perform sentiment analysis, topic modeling, and network analysis - all crucial aspects of a modern Data Science career.


The program duration is typically structured to allow for flexible learning, often spread across several weeks or months depending on the specific course structure. The exact timeframe should be confirmed with the program provider. It’s designed to fit around your existing commitments without compromising on comprehensive social media data science training.


This Certified Specialist Programme in Data Science for Social Media boasts significant industry relevance. Graduates are prepared for roles such as Social Media Analyst, Data Scientist, Marketing Analyst, and Business Intelligence Analyst. The skills acquired are highly sought after across various sectors, from marketing and advertising to public relations and political campaigns, making this certification a valuable asset for career advancement in the digital age.


The program's focus on practical application, combined with industry-standard tools and methodologies, ensures that graduates are ready to immediately contribute to data-driven decision making within social media contexts. This competitive edge is crucial in today's data-centric world. The curriculum often incorporates case studies and real-world projects for a complete learning experience.

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Why this course?

The Certified Specialist Programme in Data Science for Social Media is increasingly significant in today's UK market. The rapid growth of social media necessitates professionals with specialized skills in data analysis and interpretation. According to a recent survey, 75% of UK businesses now utilize social media marketing, highlighting the demand for data scientists skilled in this area. This translates to a significant job market opportunity, with projections suggesting a 20% increase in data science roles related to social media within the next three years.

Skill Demand
Social Media Analytics High
Data Visualization High
Machine Learning Medium

A Certified Specialist Programme equips individuals with the necessary tools and knowledge, making them highly competitive in this burgeoning field. The programme's curriculum often encompasses social media analytics, data visualization, and machine learning techniques, all critical skills for success.

Who should enrol in Certified Specialist Programme in Data Science for Social Media?

Ideal Audience for the Certified Specialist Programme in Data Science for Social Media
This Certified Specialist Programme in Data Science for Social Media is perfect for aspiring data scientists and marketing professionals seeking advanced skills. Are you a marketing graduate with a passion for data analysis and digital strategy? Perhaps you're already working in social media marketing and want to enhance your data analysis capabilities and career prospects. With over 10 million UK adults using social media daily, the demand for professionals skilled in social media analytics and data interpretation is soaring. The programme’s hands-on projects will build your expertise in data visualization, campaign optimisation and effective data-driven decision-making. Ideal candidates possess strong analytical abilities, a keen interest in social media trends, and a desire to master the power of data to inform effective social media strategies.