After the COVID-19 outbreak, social media usage has exploded, with lockdowns and limits changing user behavior and routines to become more dependent on technology. Social media usage increased by 10.4% in July 2020 compared to the previous year, and TikTok had a rise in U.S. users of 12,000,000 in March 2020.

While social media has undoubtedly benefited from data science, and vice versa, the pandemic has permanently changed the role and significance of analytics in this field. Modern commercial marketing strategies now center on social media platforms, which have evolved into a playground for real-time trend research.

In the upcoming years, social media’s trajectory as a tool for corporate development will grow, and related job roles will follow. The demand for job skills in this field is already evident; examples include web analysts, AI engineers, machine learning engineers, digital marketing experts, social media analysts, and advanced mobile marketers. Thus, this is the ideal time for working professionals in the field and those just starting out to learn more about the intersection of data science and social media. Visit Learnbay to learn more about the instructor-led data science course in Chennai.

1. Rise in Data Sources

The astounding increase in social media usage has brought a rising accumulation of structured and unstructured data from various formats, including images, videos, audio, text, and geolocations.

Throughout industries like entertainment and media, journalism, business, politics, and science, social media has developed into a vital tool for gathering and disseminating information. Its expansion creates new opportunities for research and pattern discovery that provide light on major problems, influencers, trends, and commercial and social developments.

Depending on the application domain, data source and format, techniques, and objectives, the complexity of executing data discovery, gathering, and preparation for analytics and predictive modeling might vary. To do this, various data science techniques are frequently applied, including big data analytics, data mining, machine learning, and AI.

For instance, a marketing company wanting to estimate future purchasing trends would need to use predictive analytics and modeling, including cluster models, regression analysis, and cluster filtering, all of which have their roots in statistical and ML techniques.

2. Increasing Use Cases

The relationship between data science and social media has consistently influenced company strategy, scientific and medical research, product development, and marketing effectiveness across a wide range of use cases.

3. Improved Decision Making

In order to make competitive decisions, reduce business risks, and link social data to their bottom line, organizations analyze big data to identify patterns in real-time.

4. Enhancement of the Marketing Strategy

In order to assist marketing strategies, social media analytics and big data analytics are utilized. These techniques include tracking campaign efficacy, measuring marketing performance KPIs, and developing contextualized, tailored ads and content based on customer sentiment.

5. Research in Medicine and Science

In order to reduce disinformation, provide the public with up-to-the-minute updates, and spread awareness of health issues, social media is a crucial tool in the healthcare industry. Thus, to benefit from the accessibility and availability of data for educational, collaborative, and research recruitment objectives, public healthcare organizations, academic researchers, and scientists use data science.

6. Development of Products

Businesses deploy ML-driven social listening approaches for intelligent analysis of natural language information coupled with videos and photographs. They may therefore create products that are most suitable for the market by catching early trends or swiftly altering preferences thanks to this.

Data Science Career

Social media has profoundly altered how traditional forms of communication are used, opening up new opportunities for data science professionals to direct and support anything from scholarly research and health education to digital marketing and service creation.

Learnbay Provides specialized IBM-accredited data science courses in Chennai to help students who wish to broaden their knowledge of data science and AI. The 9-month data science training is used to direct both current and future career pathways.