IBM - IBM Data Analyst Capstone Project
5.0 /5- Offered byCoursera
IBM Data Analyst Capstone Project at Coursera Overview
Duration | 13 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
IBM Data Analyst Capstone Project at Coursera Highlights
- Earn a shareable certificate upon completion.
- Flexible deadlines according to your schedule.
IBM Data Analyst Capstone Project at Coursera Course details
- 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.
IBM Data Analyst Capstone Project at Coursera Curriculum
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
IBM Data Analyst Capstone Project at Coursera Admission Process
Important Dates
Other courses offered by Coursera
IBM Data Analyst Capstone Project at Coursera Students Ratings & Reviews
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