IBM

IBM Data Analyst Capstone Project

This course is part of IBM Data Analyst Professional Certificate

Taught in English

Some content may not be translated

Rav Ahuja
Ramesh Sannareddy

Instructors: Rav Ahuja

52,181 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.6

(1,052 reviews)

|

92%

Intermediate level

Recommended experience

17 hours (approximately)
Flexible schedule
Learn at your own pace

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

Details to know

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Assessments

15 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.6

(1,052 reviews)

|

92%

Intermediate level

Recommended experience

17 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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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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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 quizzes5 app items2 plugins

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 quizzes1 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 quizzes1 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 quizzes1 app item

In this module, you will create a dashboard using IBM Cognos Analytics. 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 review1 plugin

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 (338 ratings)
Rav Ahuja
IBM
52 Courses2,392,601 learners
Ramesh Sannareddy
IBM
12 Courses254,391 learners

Offered by

IBM

Recommended if you're interested in Data Analysis

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