Python for Social Media Analytics

with Natassha Selvaraj
4.8/5
(179)

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 hours of content 1821 students
Start for free

What you get:

  • 2 hours of content
  • 3 Downloadable resources
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

Python for Social Media Analytics

A course by Natassha Selvaraj
Start for free

What you get:

  • 2 hours of content
  • 3 Downloadable resources
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement
Start for free

What you get:

  • 2 hours of content
  • 3 Downloadable resources
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

What You Learn

  • Stand out professionally with in-demand social media analytics skills
  • Enhance your marketability by adding specialized domain expertise
  • Leverage Python for social media analytics and improve your company’s ad performance
  • Master the strategies behind Facebook advertising to boost your company’s sales
  • Expand your business acumen with essential digital marketing skills
  • Apply Python programming to solve real-life digital marketing problems

Top Choice of Leading Companies Worldwide

Industry leaders and professionals globally rely on this top-rated course to enhance their skills.

Course Description

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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Learn for Free

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

Interactive Exercises

Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.

Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.

true-false exercise
single-choice exercise
multiple-choice exercise
flashcards exercise
fill-blank-typing exercise
fill-blank-selection exercise
order exercise
categorize exercise

Curriculum

  • 1. Course Introduction
    2 Lessons 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.

    Welcome
    4 min
    Why is this the right time to learn Python for social media analytics?
    1 min
  • 2. Introduction to Social Media Marketing
    2 Lessons 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.

    Intro to social media marketing
    2 min
    The marketing funnel
    4 min
  • 3. Social Media Marketing Terminology
    6 Lessons 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.)

    What is a marketing campaign?
    4 min
    Optimizations for ad delivery Read now
    1 min
    What are ad sets?
    2 min
    What is an ad?
    1 min
    Core, custom, and lookalike audiences
    2 min
    Facebook pixel
    2 min
  • 4. Social Media Marketing Metrics
    10 Lessons 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.)

    Intro to social media marketing metrics
    1 min
    Reach & impressions
    2 min
    CTR
    1 min
    Link clicks
    1 min
    Conversion rate
    2 min
    CPM
    2 min
    CPC
    1 min
    CPR
    1 min
    ROAS
    2 min
    A message from the instructor
    1 min
  • 5. Intro to Facebook Ads Manager
    1 Lesson 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.

    Intro to Facebook Ads Manager
    3 min
  • 6. Creating a Facebook Campaign
    3 Lessons 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.

    Creating your first campaign on Ads Manager
    5 min
    Creating an ad set
    6 min
    Creating an ad
    7 min
  • 7. Analyzing a Facebook Campaign with Python - Overall Campaign Performance
    4 Lessons 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.

    Examining the dataset
    2 min
    Facebook campaign summary
    4 min
    Calculating the CPM
    2 min
    Calculating the CPR
    3 min
  • 8. Analyzing a Facebook Campaign with Python - Ad Set Overview
    4 Lessons 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.

    Ad set overview
    1 min
    Warm, hot, and cold ad sets
    8 min
    LAL vs Detailed ad sets - Part 1
    11 min
    LAL vs Detailed ad sets - Part 2
    2 min
  • 9. Analyzing a Facebook Campaign with Python - Detailed Ad Set Analysis
    6 Lessons 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.

    Analyzing Hot ad sets - Part 1
    6 min
    Analyzing Hot ad sets - Part 2
    7 min
    Analyzing warm ad sets
    5 min
    Analyzing cold ad sets - Part 1
    8 min
    Analyzing cold ad sets - Part 2
    5 min
    Analyzing Cold ad sets - Part 3
    3 min
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Topics

Social Media MarketingFacebook AdsPythonDigital AdvertisingMarketing

Tools & Technologies

python

Course Requirements

  • Highly recommended to take the Intro to Python course first
  • You will need to install the Anaconda package, which includes Jupyter Notebook

Who Should Take This Course?

Level of difficulty: Intermediate

  • Aspiring data analysts and data scientists
  • Current data analysts and data scientists who want to boost their domain-specific knowledge
  • Everyone who wants to learn digital marketing and Python programming

Exams and Certification

A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.

Exams and certification

Meet Your Instructor

Natassha Selvaraj

Natassha Selvaraj

Data Scientist at

1 Courses

179 Reviews

1821 Students

Natassha Selvaraj is a data scientist who works at the intersection of data, programming, and content creation. She believes that when used wisely, data can inspire tremendous growth for individuals and organizations. Her experience includes assisting industry-leading firms and startups on numerous data projects in customer analytics, marketing, finance, etc. During Natassha’s time as a senior data consultant at a leading digital marketing agency, she leveraged data science to provide expert marketing and customer experience solutions to businesses across Asia. She now works as a data scientist at a leading global provider of market insights for tech businesses. In her free time, Natassha creates educational data science content and projects for beginners in the field, as well as leveling up her own programming and ML skills. Her articles on her blog and external publications on sites like Medium garner an average of 200K monthly views.

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What Our Learners Say

Abulgasim Abdulrahman
Abulgasim Abdulrahman
18.11.2024
awesome

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