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
2067 students already have 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

Free preview

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.

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Exercises

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

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Projects

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

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Practice Exams

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

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AI Mock Interviews

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

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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.