Data Science and Machine Learning Capstone Project
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Course
Data Science and Machine Learning Capstone Project
Develop a deeper understanding of data science and machine learning through analyzing and visualizing data in a real-world business scenario.
Showcase your data science skills on your LinkedIn profile and resumé with this hands-on capstone project.
Self-Paced
Mentored
Intermediate
Duration
3-4 hours/week
To enable you to showcase all that you have learnt in the IBM Data Science Professional Certificate series of courses, this final course offers you the opportunity to complete a capstone project.
The project is divided into 5 parts:
- PART 1: Data Loading & Cleaning
- PART 2: Exploratory Data Analysis
- PART 3: Data Analysis using SQL
- PART 4: Data Visualization
- PART 5: Model Building
During this IBM data science capstone project, you will use the techniques you have learnt throughout the courses in this program. Activities will include data ingestion, data exploration, data visualization, feature engineering, probabilistic modeling, model validation, and more.
At the end of this course, you will have completed a project that you can include on your resume and LinkedIn profile to highlight the work you've done towards gaining IBM data science and machine learning certification.
This IBM data science and machine learning capstone project is an excellent way to demonstrate the skills and knowledge you have learned in the IBM Data Science Professional Certificate Program. Please note, you need to have completed all the previous courses in this program to be able to enroll for this IBM data science capstone project.
It is a self-paced project, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. To give you an idea of how long the project takes to complete, it is anticipated that if you work 3-4 hours per week, you will complete the course in 4 weeks. However, as long as the project is completed before the end date, you can work at your own pace.
The project's materials are available as soon as you enroll and will remain available for the duration of your enrollment. You will be given detailed instructions on how to complete it.
Once you have successfully completed the project, you will earn your IBM Certificate.
As part of our mentoring service, you will have access to valuable guidance and support throughout the project. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Depending on the payment plan you have chosen, you may also have access to live classes and webinars, which are an excellent opportunity to discuss problems with your mentor and ask questions. Mentoring services may vary package wise.
You will be able to:
- Analyze and visualize data using Python.
- Perform a feature engineering exercise using Python.
- Build and validate a predictive machine learning model using Python.
- Create and share actionable insights to real-life data problems.
- Individuals interested in pursuing a career in data science.
- Individuals seeking their first job role in data science.
- Experienced developers who want to improve their skills, learn more about data science, and get involved in projects.
- Introduction to Data Science
- Data Science Tools
- The Data Science Method
- Python for Data Science, AI & Development
- Python for Data Science Project
- SQL for Data Science
- Analyzing Data with Python
- Visualizing Data with Python
- Machine Learning with Python: A Practical Introduction
Before taking this course, you should have already completed the following courses: