Execution and Evaluation

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Execution and Evaluation

Coursera · Intermediate ·📄 Research Papers Explained ·3mo ago

Key Takeaways

Executes and evaluates social media planning using data analysis

Original Description

By completing this course, you will master the skills needed to execute effective social media planning, analyze data to gauge its impact, and evaluate and revise your strategies for optimal performance. This course will guide you through implementing a comprehensive social media plan and evaluating its success using various tools to gather consumer data. You will learn to develop targeted, effective social media strategies that align with your business goals. You will create and refine a social media plan tailored to your business, leveraging research and consumer insights to generate buzz and engage your audience. The course covers marketing communications through paid, earned, shared, and owned media, providing you with a holistic approach to social media marketing. You will receive feedback on your plan, allowing you to make necessary revisions before implementation. What makes this course unique is its practical approach, offering hands-on experience and real-world applications. By the end of the course, you will understand how your social media efforts fit into your company's broader vision and business objectives, ensuring your strategies drive meaningful results.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

I Spent Weeks Looking for a Research Gap Before I Realized I Was Searching the Wrong Way
Learn how to effectively find research gaps by changing your approach, a crucial skill for AI researchers and academics
Medium · AI
ICMI 2026 Reviews [D]
Learn how to interpret ICMI 2026 reviews and improve your paper's acceptance chances
Reddit r/MachineLearning
Workshop submission for main conference paper under review [D]
Learn how to navigate submitting a paper to a non-archival workshop before the final decision of a main conference like ECCV
Reddit r/MachineLearning
Kept context-switching between arxiv, OpenReview, GitHub, and HuggingFace for every paper, so I built this. Chrome extension + website with everything inline, plus citation graph + SPECTER2 neighbors. 3M papers, free, feedback welcome [P]
Streamline your research with a new Chrome extension and website that integrates 3M papers from arxiv, OpenReview, GitHub, and HuggingFace, including citation graphs and SPECTER2 neighbors, and provide feedback to improve it
Reddit r/MachineLearning
Up next
Beyond Big Vendors: ERP Systems Explained #shorts
Digital Transformation with Eric Kimberling
Watch →