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
63,064 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
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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 Courses3,061,435 learners
Ramesh Sannareddy
IBM
12 Courses329,859 learners
Offered by
IBM
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