Course
Data Science
Continuing Education

IBM Data Analyst Capstone Project

21 Hours

Estimated learning time

Self-Paced

Progress at your own speed

Popular course

A popular course among students

About the Course

Description

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.

You will perform the various tasks that professional data analysts do as part of their jobs, including:

  • Data collection from multiple sources
  • Data wrangling and data preparation
  • Exploratory data analysis
  • Statistical analysis and data mining
  • Data visualization with different charts and plots, and
  • Interactive dashboard creation.

The project will culminate with a presentation of your data analysis report for various stakeholders in the organization. The report will include an executive summary, your analysis, and a conclusion. You will be assessed on both your work for the various stages in the Data Analysis process, as well as the final deliverable.

As part of this project you will demonstrate your proficiency with using Jupyter Notebooks, SQL, Relational Databases (RDBMS), Business Intelligence (BI) tools like Cognos, and Python Libraries such as Pandas, Numpy, Scikit-learn, Scipy, Matplotlib, Seaborn and others.

This project is a great addition to your portfolio and an opportunity to showcase your Data Analytics skills to prospective employers.

This Course is part of a program

You can only buy it along with program.

Sections

Schedule

Asynchronous

Delivery method

Online

Deliverables

  • 0 Credits

    Academic Excellence

    Earn necessary number of credit hours for completing this content

  • Hone Important Skills

    Total Upgrade

    Such as Python Programming, Exploratory Data Analysis, IBM Cloud, Microsoft Excel, SQL, Computer Programming, Analysis, Data Analysis