Search result for Advanced data science Online Courses & Certifications
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Decision Trees, Random Forests, Bagging & XGBoost: R Studio
by Start-Tech Academy- 4.5
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6 hours on-demand video
A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course. Learning the data science basics is arguably easier in R. As the field of data science has exploded, R has exploded with it, becoming one of the fastest-growing languages in the world (as measured by StackOverflow)....
$12.99
TensorFlow 101: Introduction to Deep Learning
by Sefik Ilkin Serengil- 4.2
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4 hours on-demand video
We will also focus on the advanced topics in this lecture such as transfer learning, autoencoders, face recognition (including those models: VGG-Face, Google FaceNet, OpenFace and Facebook DeepFace). This course appeals to ones who interested in Machine Learning, Data Science and AI....
$12.99
Wrangling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.8
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Approx. 14 hours to complete
Data never arrive in the condition that you need them in order to do effective data analysis. Investing the time to learn these data wrangling techniques will make your analyses more efficient, more reproducible, and more understandable to your data science team. Tidy Data Review Reshaping Data Wide Data Long Data...
Introduction to Applied Machine Learning
by Anna Koop- 4.7
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Approx. 7 hours to complete
This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project. What about Data Science?...
Advanced Predictive Techniques with Scikit-Learn& TensorFlow
by Packt Publishing- 4.1
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3.5 hours on-demand video
Alvaro Fuentes is a Data Scientist with an M. He founded Quant Company to provide consulting and training services in Data Science topics and has been a consultant for many projects in fields such as; Business, Education, Psychology and Mass Media....
$12.99
Scalable programming with Scala and Spark
by Loony Corn- 4.4
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9 hours on-demand video
Use Scala and Spark for data analysis, machine learning and analytics Analytics: Using Spark and Scala you can analyze and explore your data in an interactive environment with fast feedback. The course will show how to leverage the power of RDDs and Dataframes to manipulate data with ease. and of course all the Spark basic and advanced features: ...
$12.99
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
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Approx. 34 hours to complete
The course will end with a look at more advanced techniques, such as building ensembles, and practical limitations of predictive models. This course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python. Examining the Data Data Leakage...
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Advanced Machine Learning and Signal Processing
by Romeo Kienzler , Nikolay Manchev- 4.5
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Approx. 27 hours to complete
This course, Advanced Machine Learning and Signal Processing, is part of the IBM Advanced Data Science Specialization which IBM is currently creating and gives you easy access to the invaluable insights into Supervised and Unsupervised Machine Learning Models used by experts in many field relevant disciplines. The importance of validation data to prevent overfitting...
R For Beginners: Learn R Programming from Scratch
by Oak Academy- 3.9
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3 hours on-demand video
Learn R Programming in R and R Studio, analyse data with R programming course and become professional at data mining and anyone who is particularly interested in big data, machine learning and data intelligence. After every session you will have a strong set of skills to take with you into your Data Science career....
$14.99
Data Processing Using Python
by ZHANG Li- 4.2
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Approx. 29 hours to complete
It starts with the basic syntax of Python, to how to acquire data in Python locally and from network, to how to present data, then to how to conduct basic and advanced statistic analysis and visualization of data, and finally to how to design a simple GUI to present and process data, advancing level by level....
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