Data Science and Machine Learning Capstone Project
This course provides learners with the opportunity to apply their knowledge and skills in data science and machine learning to a real-world problem. Learners will explore data sets in New York's 311 system, investigate the data, and use data science and machine learning techniques to answer questions that will help the Department of Housing Preservation and Development in New York City effectively tackle the 311 complaints. Upon successful completion, learners will earn a skill badge and be job-ready in the field of data science. ▼
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Course Feature
Cost:
Free
Provider:
Edx
Certificate:
Paid Certification
Language:
English
Start Date:
Self paced
Course Overview
❗The content presented here is sourced directly from Edx platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [March 06th, 2023]
This IBM course provides learners with the opportunity to earn a skill badge by successfully completing the Data Science and Machine Learning Capstone Project. Learners will be able to apply their knowledge and skills to solve real world problems by exploring data sets in New York’s 311 system. Through data ingestion, exploration, visualization, feature engineering, probabilistic modeling, model validation, and more, learners will be able to answer questions that will help the Department of Housing Preservation and Development in New York City effectively tackle the 311 complaints coming to them. Upon completion of the course, learners will have created a showcase project to demonstrate their job readiness in the field of data science.
[Applications]
Upon completion of this course, learners will be able to apply the knowledge and skills acquired to solve real world data problems. They will be able to use data science tools such as data ingestion, data exploration, data visualization, feature engineering, probabilistic modeling, and model validation to create a showcase project. This project will demonstrate to employers that the learner is job ready and a worthy candidate in the field of data science.
[Career Paths]
Recommended Career Paths:
1. Data Scientist: Data Scientists are responsible for analyzing large datasets to uncover trends and insights, and then using those insights to develop predictive models and algorithms. They must be able to communicate their findings to stakeholders and use their knowledge of data science and machine learning to develop solutions to complex problems. The demand for Data Scientists is growing rapidly, and the field is expected to continue to expand in the coming years.
2. Machine Learning Engineer: Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models and algorithms. They must be able to understand the business requirements and use their knowledge of data science and machine learning to develop solutions that meet those requirements. The demand for Machine Learning Engineers is also growing rapidly, and the field is expected to continue to expand in the coming years.
3. Artificial Intelligence Engineer: Artificial Intelligence Engineers are responsible for designing, developing, and deploying AI-based solutions. They must be able to understand the business requirements and use their knowledge of AI and machine learning to develop solutions that meet those requirements. The demand for Artificial Intelligence Engineers is also growing rapidly, and the field is expected to continue to expand in the coming years.
4. Data Analyst: Data Analysts are responsible for analyzing large datasets to uncover trends and insights, and then using those insights to develop reports and dashboards. They must be able to communicate their findings to stakeholders and use their knowledge of data analysis to develop solutions to complex problems. The demand for Data Analysts is also growing rapidly, and the field is expected to continue to expand in the coming years.
[Education Paths]
Recommended Degree Paths:
1. Bachelor of Science in Data Science: This degree program provides students with a comprehensive understanding of data science principles and techniques, including data analysis, machine learning, and data visualization. Students will learn how to use data to solve real-world problems and develop the skills needed to become a successful data scientist. The degree also covers topics such as programming, statistics, and mathematics.
2. Master of Science in Artificial Intelligence: This degree program provides students with a comprehensive understanding of artificial intelligence principles and techniques, including machine learning, natural language processing, and robotics. Students will learn how to use AI to solve real-world problems and develop the skills needed to become a successful AI engineer. The degree also covers topics such as programming, statistics, and mathematics.
3. Master of Science in Data Science: This degree program provides students with a comprehensive understanding of data science principles and techniques, including data analysis, machine learning, and data visualization. Students will learn how to use data to solve real-world problems and develop the skills needed to become a successful data scientist. The degree also covers topics such as programming, statistics, and mathematics.
4. Doctor of Philosophy in Data Science: This degree program provides students with a comprehensive understanding of data science principles and techniques, including data analysis, machine learning, and data visualization. Students will learn how to use data to solve real-world problems and develop the skills needed to become a successful data scientist. The degree also covers topics such as programming, statistics, and mathematics.
Developing Trends:
1. Data Science: Data science is becoming increasingly important in many industries, and the demand for data scientists is growing rapidly. As a result, data science degree programs are becoming more popular and are being offered by more universities.
2. Artificial Intelligence: Artificial intelligence is becoming increasingly important in many industries, and the demand for AI engineers is growing rapidly. As a result, AI degree programs are becoming more popular and are being offered by more universities.
3. Machine Learning: Machine learning is becoming increasingly important in many industries, and the demand for machine learning engineers is growing rapidly. As a result, machine learning degree programs are becoming more popular and are being offered by more universities.
4. Data Visualization: Data visualization is becoming increasingly important in many industries, and the demand for data visualization experts is growing rapidly. As a result, data visualization degree programs are becoming more popular and are being offered by more universities.
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