Lifang K.
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BI Analyst | Marken
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Online Course
Python for Social Media Analytics
with
Natassha Selvaraj
Master Python for social media analytics: Acquire the combined skillset of a data scientist and digital marketer to become indispensable in digitally driven businesses
2,319 students already enrolled
Skill level:
Intermediate
Duration:
2 hours
-
Lessons (2 hours)
- Lessons (2 hours)
CPE credits:
2.5
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of
professionals must earn to maintain their licenses and stay current with regulations and best
practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's
official website: www.nasbaregistry.org
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of
professionals must earn to maintain their licenses and stay current with regulations and best
practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's
official website: www.nasbaregistry.org
Accredited
certificate
What you learn
- Gain in-demand skills in social media analytics.
- Leverage Python to improve ad performance.
- Master Facebook advertising strategies to boost sales.
- Expand your business acumen with digital marketing skills.
- Apply Python to solve real-life marketing problems.
Topics & tools
Social Media MarketingFacebook AdsPythonDigital AdvertisingMarketingIndustry SpecializationData AnalysisBusiness Skills
Your instructor
Data Scientist | AI & Data Science Content Creator | Author of Automate Everyday Tasks with ChatGPT
Track record
Bringing real-world expertise from leading global companies
Academic background
Bachelor's degree, Data Science
Media and recognition
- Author of Automate Everyday Tasks with ChatGPT
- Over 200K monthly readers on Medium and other platforms
- Speaker and advocate for women in STEM and tech diversity
Course OVERVIEW
Description
CPE Credits: 2.5
Field of Study: Information Technology
Delivery Method: QAS Self Study
Delivery Method: QAS Self Study
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.
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Prerequisites
- Python (version 3.8 or later), pandas library, and a code editor or IDE (e.g., Jupyter Notebook, Spyder, or VS Code)
- Basic familiarity with Python programming is required.
- Familiarity with basic statistics and linear algebra is helpful but not mandatory.
Advanced preparation
Curriculum
38 lessons
1 exam
- 2. Introduction to Social Media Marketing6 minAcquaint yourself with the foundational aspects of social media marketing. This section ensures a solid foundational understanding of the subject from its inception to its importance in today's digital age.6 minAcquaint yourself with the foundational aspects of social media marketing. This section ensures a solid foundational understanding of the subject from its inception to its importance in today's digital age.Intro to social media marketing FreeThe marketing funnel
- 3. Social Media Marketing Terminology12 minGet familiar with the language of social media marketing. This section offers a comprehensive guide to the terms, tools, and techniques marketers use on platforms like Facebook. (Includes a special video on Facebook Ad Optimization.)12 minGet familiar with the language of social media marketing. This section offers a comprehensive guide to the terms, tools, and techniques marketers use on platforms like Facebook. (Includes a special video on Facebook Ad Optimization.)What is a marketing campaign?Optimizations for ad deliveryWhat are ad sets?What is an ad?Core, custom, and lookalike audiencesFacebook pixel
- 4. Social Media Marketing Metrics14 minMetrics drive decisions. Here, you'll learn about the key social media metrics, from Reach & Impressions to Return on Ad Spend. Ultimately, you’ll be equipped to measure and interpret campaign performance like a pro. (Ensure to obtain the exclusive Facebook Marketing Metrics Cheatsheet.)14 minMetrics drive decisions. Here, you'll learn about the key social media metrics, from Reach & Impressions to Return on Ad Spend. Ultimately, you’ll be equipped to measure and interpret campaign performance like a pro. (Ensure to obtain the exclusive Facebook Marketing Metrics Cheatsheet.)Intro to social media marketing metricsReach & impressionsCTRLink clicksConversion rateCPMCPCCPRROASA message from the instructor
- 5. Intro to Facebook Ads Manager3 minStepping into the world of Facebook advertising? This segment introduces Facebook's powerful Ads Manager tool—paving your path to creating and analyzing ad campaigns.3 minStepping into the world of Facebook advertising? This segment introduces Facebook's powerful Ads Manager tool—paving your path to creating and analyzing ad campaigns.Intro to Facebook Ads Manager
- 6. Creating a Facebook Campaign18 minLearn to create a Facebook ad campaign, from concept to execution. This hands-on section offers step-by-step guidance—from setting up your initial campaign to crafting ad sets and individual ads.18 minLearn to create a Facebook ad campaign, from concept to execution. This hands-on section offers step-by-step guidance—from setting up your initial campaign to crafting ad sets and individual ads.Creating your first campaign on Ads ManagerCreating an ad setCreating an ad
- 7. Analyzing a Facebook Campaign with Python - Overall Campaign Performance11 minOverall Campaign Performance Data tells a story. Here, we'll explore how to use Python to extract insights from your Facebook campaigns. You'll learn to calculate and interpret critical metrics by analyzing real datasets and using Python scripts—providing a holistic view of campaign performance.11 minOverall Campaign Performance Data tells a story. Here, we'll explore how to use Python to extract insights from your Facebook campaigns. You'll learn to calculate and interpret critical metrics by analyzing real datasets and using Python scripts—providing a holistic view of campaign performance.Examining the datasetFacebook campaign summaryCalculating the CPMCalculating the CPR
- 8. Analyzing a Facebook Campaign with Python - Ad Set Overview22 minAnalyzing a Facebook Campaign with Python – Ad Set Overview Deep dive into the intricacies of ad sets. Understand the difference between warm, hot, and cold ad sets, and discover the nuances between Lookalike and Detailed targeting. Ultimately, you'll be adept at identifying the strengths and weaknesses of each ad set.22 minAnalyzing a Facebook Campaign with Python – Ad Set Overview Deep dive into the intricacies of ad sets. Understand the difference between warm, hot, and cold ad sets, and discover the nuances between Lookalike and Detailed targeting. Ultimately, you'll be adept at identifying the strengths and weaknesses of each ad set.Ad set overviewWarm, hot, and cold ad setsLAL vs Detailed ad sets - Part 1LAL vs Detailed ad sets - Part 2
- 9. Analyzing a Facebook Campaign with Python - Detailed Ad Set Analysis34 minAnalyzing a Facebook Campaign with Python – Detailed Ad Set Analysis Prepare yourself for an in-depth journey into the world of ad sets. This section dissects the analysis process, providing step-by-step guidance on evaluating hot, warm, and cold ad sets. Armed with Python, you'll glean actionable insights to optimize your campaigns.34 minAnalyzing a Facebook Campaign with Python – Detailed Ad Set Analysis Prepare yourself for an in-depth journey into the world of ad sets. This section dissects the analysis process, providing step-by-step guidance on evaluating hot, warm, and cold ad sets. Armed with Python, you'll glean actionable insights to optimize your campaigns.Analyzing Hot ad sets - Part 1Analyzing Hot ad sets - Part 2Analyzing warm ad setsAnalyzing cold ad sets - Part 1Analyzing cold ad sets - Part 2Analyzing Cold ad sets - Part 3
- 10. Course exam30 min30 minCourse exam
Free lessons
1.1 Welcome
4 min
1.2 Why is this the right time to learn Python for social media analytics?
1 min
2.1 Intro to social media marketing
2 min
2.2 The marketing funnel
4 min
3.1 What is a marketing campaign?
4 min
$29,000
average salary increase
after moving to an AI and data science career
9 in 10
people walk away career-ready
with practical data and AI skills.
94%
of AI and data science graduates
successfully change
or advance their careers.
ACCREDITED certificates
Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global
institutions.
Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities
employers value most.
Certificates are included with the Self-study learning plan.
How it WORKS
Student REVIEWS
