Search result for Master of computer science in computational data science Online Courses & Certifications
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Learning From Data (Introductory Machine Learning)
by Yaser S. Abu-Mostafa- 0.0
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10 Weeks
This introductory computer science course in machine learning will cover basic theory, algorithms, and applications. Gaining skills in this field will get you one step closer to becoming a data scientist or quantitative analyst. Identify basic theoretical principles, algorithms, and applications of Machine Learning Master the mathematical and heuristic aspects of Machine Learning and their applications to real world situations...
$49
Procedural Modelling
by Patrick Janssen , Derek Pung , Pradeep Alva- 0.0
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5 Weeks
You’ll learn to write computational procedures using data structures and control-flow statements to automate the production of geometric models. The first in our “Spatial Computational Thinking” program, this “Procedural Modelling” course will focus on the fundamentals of procedural programming in 3D. The demand for skilled spatial computational practitioners is growing rapidly and is not limited to the computer science domain....
$149
Network Analysis in Systems Biology
by Avi Ma’ayan, PhD- 4.5
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Approx. 30 hours to complete
The ultimate aim of the course is to enable participants to utilize the methods presented in this course for analyzing their own data for their own projects. For those participants that do not work in the field, the course introduces the current research challenges faced in the field of computational systems biology....
Machine Learning and Data Science Hands-on with Python and R
by EDU CBA- 3.9
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72.5 hours on-demand video
Artificial intelligence is a sub field of computer. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making. Machine learning is a subfield of computer science stemming from research into artificial intelligence. Machine learning is the science of getting computers to act without being explicitly programmed....
$9.99
Semantic Modelling
by Patrick Janssen , Derek Pung , Pradeep Alva- 0.0
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5 Weeks
In the process, you will also further develop your coding skills in the semantic world of computer science. The course prepares you for the next course in the “Spatial Computational Thinking” program, focusing on generative modelling of more complex types of spatial information models. Become familiar with a range of existing spatial data formats and representations...
$149
Data Science & Real World Computing with Jupyter Notebook
by Packt Publishing- 3.6
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8.5 hours on-demand video
If you are familiar with Jupyter Notebook and want to learn how to use its capabilities to perform various data science tasks, this video course is for you! From data exploration to visualization, this course will take you every step of the way in implementing an effective data science pipeline using Jupyter....
$9.99
Machine Learning with Python: from Linear Models to Deep Learning
by Regina Barzilay , Tommi Jaakkola , Karene Chu- 0.0
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15 Weeks
You will complete this course and three others from MITx, at a similar pace and level of rigor as an on-campus course at MIT, and then take a virtually-proctored exam to earn your MicroMasters, an academic credential that will demonstrate your proficiency in data science or accelerate your path towards an MIT PhD or a Master's at other universities....
$300
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Communicating Data Science Results
by Bill Howe- 3.6
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Approx. 8 hours to complete
You will also learn the importance of reproducibility in data science and how the commercial cloud can help support reproducible research even for experiments involving massive datasets, complex computational infrastructures, or both. Explain the state-of-the-art in privacy, ethics, governance around big data and data science Use cloud computing to analyze large datasets in a reproducible way. Reproducibility and Data Science...
Data Processing Using Python
by ZHANG Li- 4.2
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Approx. 29 hours to complete
Also, it discusses the fast, convenient and efficient data processing capacity of Python in humanities and social sciences fields like literature, sociology and journalism and science and engineering fields like mathematics and biology, in addition to business fields. 3 Data Clean of Data Exploration and Preprocessing 4 Aplications of Python into Science and Engineering Fields...
Capstone Project: Teaching Impacts of Technology
by Beth Simon- 0.0
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Approx. 7 hours to complete
You’ll also review the description of this task from the student perspective and complete the task yourself. In terms of CSTA K-12 computer science standards, throughout the Specialization we primarily cover learning objectives within the “impacts of computing” concept, while also including some within the “networks and the Internet” concepts and the “data and analysis” concept....
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