Powered by
Completion
CERTIFICATE
Natural Language Processing and Capstone Assignment
This course is part of Data Science Fundamentals.
Course Cost
Free course
Intermediate
Skill Level
5 Hours
Self-paced Video lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Science Fundamentals Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
What you'll learn
Understand applications of natural language processing
Master sentiment analysis and topic modeling techniques
Explore advanced data science trends and technologies
Apply text analytics to social media data
Develop comprehensive data analytics plans
Skills you'll gain
This course includes:
0.1 Hours PreRecorded video
2 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This comprehensive course explores natural language processing and advanced data science concepts. Students learn text analytics fundamentals, sentiment analysis, topic modeling using Latent Dirichlet allocation, and emerging trends in data science including deep learning, explainable AI, and automated machine learning. The course concludes with a capstone assignment integrating various data science techniques.
Natural Language Processing I
Module 1 · 53 Minutes to complete
Natural Language Processing II
Module 2 · 55 Minutes to complete
The Past, Present, and Future of Data Science I
Module 3 · 48 Minutes to complete
The Past, Present, and Future of Data Science II
Module 4 · 2 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Data Science Fundamentals
Reviews
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
3.9
42
Reviews
15,862
Students
5
Courses
Julie Pai is an accomplished professional with over 10 years of experience in technology education programs. Her career began with a strong foundation in biology and clinical research, which ignited her interest in statistical analysis and data analysis. As the Assistant Director of Technology Programs at the University of California, Irvine, she collaborates with industry experts to design, launch, and manage a variety of courses in the technology sector, including Data Science, Data Analytics, Cloud Computing, and Machine Learning.Her technical expertise encompasses a range of tools and programming languages such as Tableau, SQL, MySQL, Python, Spark, Hive, and Scala. Julie is dedicated to enhancing educational offerings in technology and has developed courses that cover essential topics like predictive modeling and natural language processing. Her commitment to bridging the gap between academia and industry ensures that learners receive relevant and practical training in today's fast-evolving tech landscape.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.