Online Course
Python for Social Media Analytics

Master Python for social media analytics: Acquire the combined skillset of a data scientist and digital marketer to become indispensable in digitally driven businesses

4.9

808 reviews on
2238 students already enrolled
  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Intermediate

Duration:

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

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

Course OVERVIEW

Description

CPE Credits: 2.5 Field of Study: Information Technology
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.

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
  • 1. Course Introduction
    5 min
    Dive into the exciting world of social media analytics using Python. Begin by understanding the essence of this course and discover why there’s never been a better time to learn Python for this niche.
    5 min
    Dive into the exciting world of social media analytics using Python. Begin by understanding the essence of this course and discover why there’s never been a better time to learn Python for this niche.
  • 2. Introduction to Social Media Marketing
    6 min
    Acquaint 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 min
    Acquaint 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.
  • 3. Social Media Marketing Terminology
    12 min
    Get 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 min
    Get 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.)
  • 4. Social Media Marketing Metrics
    14 min
    Metrics 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 min
    Metrics 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.)
  • 5. Intro to Facebook Ads Manager
    3 min
    Stepping 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 min
    Stepping into the world of Facebook advertising? This segment introduces Facebook's powerful Ads Manager tool—paving your path to creating and analyzing ad campaigns.
  • 6. Creating a Facebook Campaign
    18 min
    Learn 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 min
    Learn 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.
  • 7. Analyzing a Facebook Campaign with Python - Overall Campaign Performance
    11 min
    Overall 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 min
    Overall 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.
  • 8. Analyzing a Facebook Campaign with Python - Ad Set Overview
    22 min
    Analyzing 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 min
    Analyzing 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.
  • 9. Analyzing a Facebook Campaign with Python - Detailed Ad Set Analysis
    34 min
    Analyzing 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 min
    Analyzing 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.
  • 10. Course exam
    30 min
    30 min

Free lessons

Welcome

1.1 Welcome

4 min

Why is this the right time to learn Python for social media analytics?

1.2 Why is this the right time to learn Python for social media analytics?

1 min

Intro to social media marketing

2.1 Intro to social media marketing

2 min

The marketing funnel

2.2 The marketing funnel

4 min

What is a marketing campaign?

3.1 What is a marketing campaign?

4 min

Start for free

$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.

  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Certificates are included with the Self-Study learning plan.

A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice exams
  • AI mock interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

Try for free

Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

Try for free

Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

Try for free

Practice exams

Track your progress and solidify your knowledge with regular practice exams.

Try for free

AI mock interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

Try for free

Student REVIEWS

A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.