Data Science and Machine Learning Capstone Project faq

learnersLearners: 126
instructor Instructor: Sourav Mazumder and Linda Liu instructor-icon
duration Duration: 4.00 duration-icon

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 Course Overview Course Provider Discussion and Reviews
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Course Feature

costCost:

Free

providerProvider:

Edx

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart 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.

Course Provider

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1. What is the purpose of the Data Science and Machine Learning Capstone Project?

2. What is the New York City Open Dataset used for?

3. What techniques will you need to use in the Data Science and Machine Learning Capstone Project?

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faq FAQ for Machine Learning Courses

Q1: Does Data Science and Machine Learning Capstone Project provide certification on Machine Learning?

Yes, Data Science and Machine Learning Capstone Project provides paid certification. This free online course is designed in partnership with top universities like Harvard and Berkeley, and provides learners with a verified certificate of completion upon successful completion of the course. The fee for the certificate varies by course, but it is a great way to demonstrate your knowledge and skills in the field of Machine Learning. With a verified certificate, you can use it for job and school applications, and it can also be a great way to stand out from the competition.

Q2: What topics are covered in the Data Science and Machine Learning Capstone Project?

The Data Science and Machine Learning Capstone Project covers a range of topics related to data analysis, predictive modeling, algorithms, statistical analysis, data visualization, and machine learning. The project will provide an opportunity to apply the knowledge and skills acquired in the course to a real-world problem.

Q3: What skills will I gain from the Data Science and Machine Learning Capstone Project?

The Data Science and Machine Learning Capstone Project will provide an opportunity to gain a range of skills related to data analysis, predictive modeling, algorithms, statistical analysis, data visualization, and machine learning. You will also gain experience in applying these skills to a real-world problem.

Q4: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q5: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q6: Can I take this course for free?

Yes, this is a free course offered by Edx, please click the "go to class" button to access more details.

Q7: How many people have enrolled in this course?

So far, a total of 126 people have participated in this course. The duration of this course is 4.00 hour(s). Please arrange it according to your own time.

Q8: How Do I Enroll in This Course?

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If you're looking for additional Machine Learning courses and certifications, our extensive collection at azclass.net will help you.

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