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IBM Data Analyst Capstone Project

Approx. 13 hours to complete

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Course Summary

The IBM Data Analyst Capstone Project is a hands-on project-based course that focuses on data analysis and visualization. Students will apply what they have learned in the previous courses of the IBM Data Analyst Professional Certificate program to complete a real-world capstone project.

Key Learning Points

Learn to apply data analysis and visualization techniques in a real-world project
Gain experience working with real datasets and tools used by data analysts
Collaborate with peers and receive feedback on your work

Learning Outcomes

Ability to apply data analysis and visualization techniques to real-world problems
Experience working with datasets and tools used by data analysts
Collaboration and feedback skills

Prerequisites or good to have knowledge before taking this course

IBM Data Analyst Professional Certificate
Familiarity with data analysis and visualization techniques

Course Difficulty Level

Intermediate

Course Format

Online
Self-paced

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Description

In this course you will apply various Data Analytics skills and techniques that you have learned as part of the previous courses in the IBM Data Analyst Professional Certificate. You will assume the role of an Associate Data Analyst who has recently joined the organization and be presented with a business challenge that requires data analysis to be performed on real-world datasets.

You will undertake the tasks of collecting data from multiple sources, performing exploratory data analysis, data wrangling and preparation, statistical analysis and mining the data, creating charts and plots to visualize data, and building an interactive dashboard. The project will culminate with a presentation of your data analysis report, with an executive summary for the various stakeholders in the organization. You will be assessed on both your work for the various stages in the Data Analysis process, as well as the final deliverable. This project is a great opportunity to showcase your Data Analytics skills, and demonstrate your proficiency to potential employers.

Outline

Data Collection
Course Introduction
Introduction To Capstone Project
Syllabus
(Optional) Hands-on Lab 1: Review Of Accessing APIs
Hands-on Lab 2: Collecting Data Using APIs
Hands-on Lab 3: Review Of Web Scraping
Hands-on Lab 4: Collecting Data Using Web Scraping
Hands-on Lab 5: Explore the Data Set
Graded Quiz: Collecting Data
Graded Quiz: Web Scraping
Graded Quiz: Exploring Data

Data Wrangling
Assignment Overview
Jupyter Notebook For Labs In This Module
Hands-on Lab 8: Finding Duplicates
Hands-on Lab 9: Removing Duplicates
Hands-on Lab 6: Finding Missing Values
Hands-on Lab 7: Imput Missing Values
Hands-on Lab 10: Normalizing Data
Graded Quiz: Duplicates
Graded Quiz: Removing Duplicates
Graded Quiz: Missing Values
Graded Quiz: Imputing Missing Values
Graded Quiz: Normalizing Data

Exploratory Data Analysis
Assignment Overview
Jupyter Notebook For Labs In This Module
Hands-on Lab 11: Finding How The Data Is Distributed
Hands-on Lab 12: Finding Outliers
Hands-on Lab 13: Finding Correlation
Graded Quiz: Distribution
Graded Quiz: Handling Outliers
Graded Quiz: Correlation

Data Visualization
Assignment Overview
Jupyter Notebook For Labs In This Module
Hands-on Lab 14: Histograms
Hands-on Lab 15: Box Plots
Hands-on Lab 16: Scatter Plots
Hands-on Lab 17: Bubble Plots
Hands-on Lab 18: Pie Charts
Hands-on Lab 19: Stacked Charts
Hands-on Lab 20: Line Charts
Hands-on Lab 21: Bar Charts
Graded Quiz: Visualizing Distribution Of Data
Graded Quiz: Visualizing Relationship
Graded Quiz: Visualizing Composition of Data
Graded Quiz: Visualizing Comparison of Data

Building A Dashboard
Assignment Overview
Module 5 Assessment Information

Final Assignment: Present Your Findings
Elements Of A Successful Data Findings Report
Best Practices For Presenting Your Findings
Assignment Overview
Exercise: Preparing Your Presentation
Congratulations and Next Steps
Course Credits and Acknowledgemen

Summary of User Reviews

Discover IBM Data Analyst Capstone Project course on Coursera. Read user reviews and feedback about this course. Learn about the overall rating and one key aspect that many users thought was good.

Key Aspect Users Liked About This Course

real-life project experience

Pros from User Reviews

Great course for gaining real-life project experience
Instructors provide clear and concise instructions
Course material is up-to-date and relevant

Cons from User Reviews

Some users found the course content to be too easy
The course may be too technical for beginners
Limited interaction with other students

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