Search result for Calculus I and II Online Courses & Certifications
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Natural Language Processing and Capstone Assignment
by Dursun Delen , Julie Pai- 0.0
Approx. 5 hours to complete
Welcome to Natural Language Processing and Capstone Assignment. Modules 1 and 2 The Past, Present, and Future of Data Science I The Past, Present, and Future of Data Science I The Past, Present, and Future of Data Science II The Past, Present, and Future of Data Science II Modules 3 and 4...
Big data and Language 1
by Seonmin Park- 4.5
Approx. 4 hours to complete
Students will learn how to collect and analyze big data, and find linguistic features from the data. 1-5 Recent Research on Big Data and Language Introduction to Big Data and Language Spoken and Written Data 2-1 Characteristics of Spoken English I 2-2 Characteristics of Spoken English II 2-4 Differences between Written and Spoken English...
Words Spun Out of Images: Visual and Literary Culture in Nineteenth Century Japan
by Robert Campbell- 4.8
Approx. 30 hours to complete
1-11 Yoshida Shōin and His Writings I 1-12 Yoshida Shōin and His writings II 3-1 "Calligraphy and Painting Gathering in Satte Post Town" by Yoda Chikkoku I 3-4 "Calligraphy and Painting Gathering in Satte Post Town" by Yoda Chikkoku II 3-7 Masaoka Shiki and Post Meiji-Restoration Writers I 3-8 Masaoka Shiki and Post Meiji-Restoration Writers II...
Supply Chain Comprehensive Exam
by Chris Caplice , Eva Ponce- 0.0
1 Weeks
The CFx consists of two exams, Exam I and Exam II. The exams will be a mix of qualitative and quantitative questions. Both exams will be timed and proctored. The time allotted to each exam will be 2 hours (2 hours to complete Exam I and another 2 hours to complete Exam II)....
$299
Supply Chain Comprehensive Exam
by Chris Caplice , Eva Ponce- 0.0
2 Weeks
The CFx consists of two exams, Exam I and Exam II. The exams will be a mix of qualitative and quantitative questions. Both exams will be timed and proctored. The time allotted to each exam will be 2 hours (2 hours to complete Exam I and another 2 hours to complete Exam II)....
$299
Introduction to Hearing Loss
by Maura K Cosetti, MD- 4.8
Approx. 4 hours to complete
Week 3: Disorders and treatments of the outer ear (15 min. Week 4: Disorders and treatments of the middle ear (15 min. Week 5: Disorders and treatments of the inner ear (15 min. • Recognize the functional and cellular anatomy of the auditory pathway • Understand the types of hearing loss and common causes of each type...
Command Line Tools for Genomic Data Science
by Liliana Florea, PhD- 4.1
Approx. 12 hours to complete
Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. Basic Unix Commands 11: Practical Exercises I Sequences and Genomic Features 7: SAMtools I Sequences and Genomic Features 8: SAMtools II Sequences and Genomic Features 9: BEDtools I Sequences and Genomic Features 10: BEDtools II...
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Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
by Tim Roughgarden- 4.8
Approx. 15 hours to complete
The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees). Correctness Proof I Correctness Proof II Fast Implementation I Fast Implementation II Overview, Resources, and Policies Implementing Kruskal's Algorithm via Union-Find I Implementing Kruskal's Algorithm via Union-Find II...
The Modern and the Postmodern (Part 1)
by Michael S. Roth- 4.8
Approx. 11 hours to complete
Philosophy, Modernity, and Intellectual History I Philosophy, Modernity, and Intellectual History II I II From Enlightenment to Revolution I From Enlightenment to Revolution II Modernism and Art for Art's Sake Modernism and Art for Art's Sake I Modernism and Art for Art's Sake II Modernism and Art for Art's Sake III...
Regression Models
by Brian Caffo, PhD , Roger D. Peng, PhD , Jeff Leek, PhD- 4.4
Approx. 54 hours to complete
This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated. Notation and Background Multivariable Regression part I Residuals and Diagnostics part I Residuals and Diagnostics part II...