Data Science With Big Data: Twitter, Facebook & Social Media
With millions of posting and sharing worldwide being shared on social media networks, it is important for businesses to identify important social media cues, trends, and signals. Businesses are expected to enhance their analytics capabilities by leveraging Data Science to understand their target demographics and launch and plan to test different marketing collaterals.
Data Science With Big Data: Twitter, Facebook & Social Media
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Description
- Duration: 4-Days / 32 Hours
- Certification: Participants will receive a Certificate of Completion upon successfully completing the course
- Who Should Attend: Data Analyst, CIO, Information System Professionals, IT Managers, Project Managers, Business Unit Leaders, CEOs, IT Professionals, IT Engineers, Security Analysts, Cyber Security Engineers, Network Engineer, Software Engineer, Business Leaders, Managers, Supervisors, and anyone seeking to acquire essential knowledge on Data Science with Big Data: Twitter, Facebook, and Social Media.
Course Objective
Acquire advanced knowledge and technical know-how on how to use Data Science with Big Data to analyze Social Media networks’ data to make better business decisions.
Learn how to use Python Programming to perform Data Analysis, Text Analysis, Chart-Data, and unstructured data
Pre-Requisite
No pre-requisite. Data Science With Big Data: Twitter, Facebook & Social Media is suitable for everyone
Examination
No Examination Required
What You Can Expect
 Technology-Based Training |
 Open-Source Tools |
 80% Hands-On Exercises / 20% Theory |
 Designed by Industry Leaders and Subject-Matter Experts |
 Progressive Learning |
 Highly interactive, supportive and encouraging |
 Be recognized as a CASUGOL Certified Professional |
What Learners Say
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