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
This course is part of a program:
If you wish, you can enroll for the program also or enroll this course individually.
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:
Course Outline
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
Course Offering
Type of certificate
IBM Certificate
About this course
06 Modules
06 Skills
Includes
Discussion space
06 Exercises
05 Quizzes
01 Project
Create
Prediction model
Exercises to explore
IBM Watson
Python
Jupyter notebook
GitHub
This course has been created by
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FAQs
A capstone project provides learners with the opportunity to apply what they have learned in a course to a practical application. It is designed to present learners with a real-world challenge to find a solution. The objective of this IBM data science capstone project is to enable you to showcase your understanding of the subject matter you have been taught. It is something you can make reference to on your resume
1. A capstone project prepares you for the future and is a useful feature for preparing learners for their future studies. It allows you to utilize what you have learned during the course.
2. A capstone project provides a platform upon which a learner can develop further. It highlights the level of your base knowledge and facilitates options for your career when you finish your education. It can also assist you in identifying your specific interests in order that you can pursue a career path that is appropriate for you.
Once you have completed your Data Science and Machine Learning Capstone Project, you will have learned how to use real-world data science tools to create a showcase project. Plus this IBM data science capstone project will help you demonstrate to employers that you are job-ready for a role in data science. You will earn a Certificate of Completion.
As you complete the course, you will be confidently able to:
- Apply your knowledge of data science and machine learning to a real-life scenario.
- 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.
Data science and machine learning skills have become the global currency of 21st century economies. More and more businesses are recognizing the value of integrating data science and machine learning into daily operations. As a direct result of this trend, employer demand for these skills has escalated. This means data science and machine learning certification can help catch the attention of employers when they are screening candidates.
Additionally, the advanced training, knowledge, and skills you acquire from data science and machine learning certification provide you with the most up-to-date tools and technical strategies you need to work effectively.
This means that data science and machine learning certification can set you apart from other industry professionals.
Course Offering
Type of certificate
IBM Certificate
About this course
06 Modules
06 Skills
Includes
Discussion space
06 Exercises
05 Quizzes
01 Project
Create
Prediction model
Exercises to explore
IBM Watson
Python
Jupyter notebook
GitHub
This course has been created by
Newsletters & Updates
Subscribe to get the latest tech career trends, guidance, and tips in your inbox.