15.11.2023
it would be great if you provide some pdf to learn/read more about marketing stuff because not everyone who is taking this course, had studied marketing(MBA).
Python for Social Media Analytics
with
Natassha Selvaraj
Acquire the combined skillset of a data scientist and digital marketer and become indispensable to companies looking to drive business value with marketing data. Master the art of successful Facebook ad campaigns and analyze social media metrics.
2 hours 38 lessons
Start course
38 High Quality Lessons
0 Practical Tasks
2 Hours of Content
Certificate of Achievement
Course Overview
Data science and analytics are revolutionizing every industry, propelling businesses to new heights in today’s data-driven economy. Social media is a powerful tool that 77% of enterprises use as of 2023. It’s reshaping how companies reach their customers and transforming global marketing strategies. This Python for Social Media Analytics course will teach you the combined skillset of a data scientist and a social media marketer, rendering you invaluable to companies looking to drive business value with data. Such abilities give you a competitive edge over data science professionals without domain expertise. Unique Features of This Data Science Course: 1. Real-World Data: Utilizes real social media data acquired through 365 DataScience's marketing campaigns. 2. Practical Problem Solving: Emphasizes a pragmatic, data-driven approach to address real-world business challenges. 3. Comprehensive Skillset: Equips you with the in-demand skillset of social media analytics, differentiating you from other data professionals and enhancing your employability. Typical Data Science Courses: 1. Dataset Source: Other courses rely on clean, pre-processed Kaggle datasets. 2. Focus: Typically emphasize theoretical concepts, often lacking preparation for real-world data science applications. 3. Business Relevance: Lacking business or domain-specific knowledge instruction—leading to a skills gap between coursework and practical job requirements. Who Is This Course For? - Individuals looking to pursue a career in data science - Those with a foundational background in programming and data science who want to bolster their employability with domain-specific knowledge - Data practitioners seeking hands-on experience in the field of social media marketing - Individuals wanting to transition into roles focused on data analytics or digital marketing Marketing professionals looking to expand their skillset to leverage data-driven decision-making.
Topics covered
Facebook AdsPythonSocial Media Marketing
What You'll Learn
Acquire the combined skillset of a data scientist and digital marketer and become indispensable to companies looking to drive business value with marketing data. Master the art of successful Facebook ad campaigns and analyze social media metrics.
Use Python for social media analytics
Acquire business knowledge and digital marketing skills
Solve real-world challenges
Boost your digital marketing skills and understanding
Practice with real-life data
Learn more about Facebook ads
Curriculum
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“Unlike other trainings, the Python for Social Media Analytics course teaches you to create models based on real-world marketing data. I’ll take you through the very basics of Facebook campaigns and gradually build on your analytical skills.”
Data Scientist at Informa Tech
Python for Social Media Analytics
with Natassha Selvaraj