Google Data Analytics Capstone: Complete a Case Study

  • 4.8
Approx. 10 hours to complete

Course Summary

The Google Data Analytics Capstone is a hands-on course that will provide learners with the opportunity to work on real-world data sets and complete a comprehensive project. This course covers a broad range of topics including data cleaning and visualization, data analysis, and data storytelling.

Key Learning Points

  • Learn how to work with real-world data sets
  • Gain experience in data cleaning and visualization
  • Develop skills in data analysis and storytelling

Job Positions & Salaries of people who have taken this course might have

  • Data Analyst
    • USA: $60,000 - $110,000
    • India: ₹300,000 - ₹1,500,000
    • Spain: €20,000 - €45,000
  • Business Intelligence Analyst
    • USA: $70,000 - $120,000
    • India: ₹400,000 - ₹2,000,000
    • Spain: €25,000 - €50,000
  • Data Scientist
    • USA: $90,000 - $150,000
    • India: ₹500,000 - ₹3,000,000
    • Spain: €30,000 - €60,000

Related Topics for further study


Learning Outcomes

  • Ability to work with real-world data sets
  • Proficiency in data cleaning and visualization
  • Skills in data analysis and storytelling

Prerequisites or good to have knowledge before taking this course

  • Basic understanding of statistics
  • Familiarity with spreadsheets and data manipulation

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-paced

Similar Courses

  • Data Analysis and Visualization
  • Data Science Essentials
  • Data Engineering, Big Data, and Machine Learning on GCP

Related Education Paths


Notable People in This Field

  • Ben G Weber
  • Lisa Charlotte Rost

Related Books

Description

This course is the eighth course in the Google Data Analytics Certificate. You’ll have the opportunity to complete an optional case study, which will help prepare you for the data analytics job hunt. Case studies are commonly used by employers to assess analytical skills. For your case study, you’ll choose an analytics-based scenario. You’ll then ask questions, prepare, process, analyze, visualize and act on the data from the scenario. You’ll also learn other useful job hunt skills through videos with common interview questions and responses, helpful materials to build a portfolio online, and more. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

Knowledge

  • Differentiate between a capstone, case study, and a portfolio
  • Identify the key features and attributes of a completed case study
  • Apply the practices and procedures associated with the data analysis process to a given set of data
  • Discuss the use of case studies/portfolios when communicating with recruiters and potential employers

Outline

  • Learn about capstone basics
  • Introducing the capstone project
  • Rishie: What employers look for in data analysts
  • Best-in-class
  • Course syllabus
  • Explore some real-world portfolios
  • Your portfolio and case study checklist
  • Revisiting career paths in data
  • Next steps
  • Data Journal: Prepare for your capstone project
  • Test your knowledge on professional case studies
  • Optional: Building your portfolio
  • Getting started with your case study
  • Unlimited potential with analytics case studies
  • Sharing your portfolio
  • Intro to building your portfolio
  • Next steps, choosing your track
  • Track 1 details
  • Case Study 1: How does a bike-share navigate speedy success?
  • Case Study 2: How can a wellness company play it smart?
  • Track 2 details
  • Case Study 3: Follow your own case study path
  • Resources to explore other case studies
  • Creating your online portfolio
  • Hands-On Activity: Adding your portfolio to Kaggle
  • Test your knowledge on completing a case study
  • Optional: Using your portfolio
  • Discussing your portfolio
  • Scenario video: Introductions
  • Scenario video: Case study
  • Scenario video: Problem-solving
  • Scenario video: Negotiating terms
  • Nathan: VetNet and giving advice to vets
  • Intro to sharing your work
  • The interview process
  • Scenario video series introduction
  • What makes a great pitch
  • Top tips for interview success
  • Before you accept, negotiating the contract
  • Self-Reflection: Polish your portfolio
  • Test your knowledge on effective interview techniques
  • Putting your certificate to work
  • Congratulations on completing your capstone project!
  • From all of us ...
  • Exploring Professional Opportunities
  • Showcase your work
  • Claim your Google Data Analytics Certificate badge
  • Sign up to the Big Interview platform
  • End-of-certificate checklist

Summary of User Reviews

The Google Data Analytics Capstone course on Coursera has received positive reviews from users. Many have praised the hands-on experience and real-world application of the skills learned in the course. The overall rating for the course is high.

Key Aspect Users Liked About This Course

Hands-on experience and real-world application of skills learned in the course

Pros from User Reviews

  • Great for beginners who want to learn about data analytics
  • Helpful mentors and community support
  • Provides practical skills that can be applied in the workplace

Cons from User Reviews

  • Some users found the course material to be too basic
  • Limited feedback on assignments
  • Course can be time-consuming
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Approx. 10 hours to complete
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