Search result for Data science class online Online Courses & Certifications
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Python Classes and Inheritance
by Steve Oney , Paul Resnick- 4.7
Approx. 17 hours to complete
You will learn how to use classes to represent data in concise and natural ways. Adding Other Methods to a Class Example: Creating Instances from Data Class Variables and Instance Variables Adding Other Methods to a Class Class Variables and Instance Variables Introduction: Class Inheritance Keep Learning with Michigan Online...
A Crash Course in Data Science
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.5
Approx. 7 hours to complete
By now you have definitely heard about data science and big data. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. How to describe the role data science plays in various contexts How to describe the structure of a data science project...
Digital Footprint
by Louise Connelly , Nicola Osborne- 4.6
Approx. 9 hours to complete
As we move around the online world we leave tracks and traces of our activity all the time: social media accounts, tagged images, professional presences, scraps of text, but also many artefacts we don't always realise we are leaving behind, or that others leave about us. Step 2: Search for yourself online...
Introduction to Data Science in Python
by Christopher Brooks- 4.5
Approx. 31 hours to complete
The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. Describe common Python functionality and features used for data science...
Introduction to GIS Mapping
by Don BoyesTop Instructor- 4.9
Approx. 14 hours to complete
In the course project, you will create your own GIS data by tracing geographic features from a satellite image for a location and theme of your choice. Examples of geospatial data Web map design and content in ArcGIS Online A quick tour of ArcGIS Online Working with map scale in ArcGIS Online...
Bayesian Machine Learning in Python: A/B Testing
by Lazy Programmer Inc.- 4.6
10.5 hours on-demand video
Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More Marketing, retail, newsfeeds, online advertising, and more. Other courses will teach you how to plug in your data into a library, but do you really need help with 3 lines of code?...
$14.99
M2M & IoT Interface Design & Protocols for Embedded Systems
by Bruce Montgomery, PhD, PMP- 0.0
Approx. 9 hours to complete
This course can also be taken for academic credit as ECEA 5348, part of CU Boulder’s Master of Science in Electrical Engineering degree. M2M and IoT Interface Design and Protocols is the third of three classes in the Embedded Interface Design (EID) specialization, an online version of the on-campus EID class taught in graduate embedded systems design....
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neural networks for autoencoders and recommender systems
by Dan We- 4.1
2 hours on-demand video
Machine learning hands on data science class Let's dive into data science with python and learn how to build recommender systems and autoencoders in keras "From my personal experience I can tell you that companies will actively searching for you if you aquire some skills in the data science field....
$12.99
Mathematics for Data Science and Machine Learning using R
by Eduonix Learning Solutions- 4.7
10.5 hours on-demand video
With the increase of data by each passing day, Data Science has become one of the most important aspects in most of the fields. Despite the availability of several tutorials on data science, it is one of the online guides containing hand-picked topics on the concepts for foundational mathematics for Data Science using R programming language....
$11.99
Signals, Systems, and Learning
by Richard G. Baraniuk- 0.0
8 Weeks
Data science is of growing importance in every STEM field. While data science tools are more readily available now than ever before, properly using these tools requires a mathematical understanding of the algorithms within. This class develops a principled approach to using the terminology, models, and algorithms found in signal processing and machine learning, the mathematical backbone of data science....
$249