By completing this final capstone project 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.
IBM Data Analyst Capstone Project
IBM Data Analyst Capstone Project
This course is part of IBM Data Analyst Professional Certificate
Instructors: Rav Ahuja +1 more
63,020 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.6
(1,164 reviews)
Intermediate level
Recommended experience
Flexible schedule
Approx. 18 hours
Learn at your own pace
91%
Most learners liked this course
What you'll learn
Apply different techniques to collect and wrangle data
Showcase your Data Analysis and Visualization skills
Create a data analysis report and a compelling presentation
Demonstrate proficiency with various Python Libraries
Skills you'll gain
- Category: Data Analysis
- Category: Python Programming
- Category: Dashboard
- Category: Data Visualization
- Category: SQL and RDBMS
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
15 assignments
Taught in English
Build your Data Analysis expertise
This course is part of the IBM Data Analyst Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from IBM
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 6 modules in this course
Data Collection is the first step in solving any analysis problem and can be collected in many formats and from many sources. In the first module of the Capstone, we will collect data by scraping the internet and using web APIs.
What's included
1 video2 readings3 assignments5 app items1 plugin
In this module, you will be focusing on the cleaning of your dataset with various techniques. With these techniques you will be identifying duplicate rows, finding missing values, and normalizing the data.
What's included
6 readings5 assignments1 app item
In this module, begin working with the cleaned dataset from the previous module. You will now begin to analyze the dataset to find the distribution of data, presence of outliers and the correlation between different columns.
What's included
4 readings3 assignments1 app item
In module 4 of the Capstone, you will be required to create visualizations using the developer survey data. The visualizations you create should highlight the distribution of data, relationships between data, the composition of data, and comparison of data.
What's included
9 readings4 assignments2 app items
In this module, you will create a dashboard using IBM Cognos Analytics or Google Looker Studio. This platform will give you the ability to create various charts while assembling a dashboard that is appealing and easy to understand. Your dashboard will contain your data analysis, which should be intuitive and allow for the drill-down of data.
What's included
2 readings1 peer review2 plugins
You have analyzed the data in the previous modules, and now it is time to demonstrate your storytelling skills. In this module, you will create a compelling story that helps to clarify your analysis in an easy-to-understand presentation.
What's included
2 videos4 readings1 peer review4 plugins
Instructors
Instructor ratings
4.6 (364 ratings)Rav Ahuja
IBM
53 Courses3,059,526 learners
Ramesh Sannareddy
IBM
12 Courses329,592 learners
Offered by
IBM
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
Showing 3 of 1164
4.6
1,164 reviews
- 5 stars
77.20%
- 4 stars
15.42%
- 3 stars
4.19%
- 2 stars
1.02%
- 1 star
2.14%
MK
5
Reviewed on Jul 17, 2022
IR
5
Reviewed on Jun 20, 2021
CG
5
Reviewed on Aug 28, 2022
Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.