Search result for Data Analysis Online Courses & Certifications
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Spatial Data Science and Applications
by Joon Heo- 4.4
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Approx. 12 hours to complete
Spatial (map) is considered as a core infrastructure of modern IT world, which is substantiated by business transactions of major IT companies such as Apple, Google, Microsoft, Amazon, Intel, and Uber, and even motor companies such as Audi, BMW, and Mercedes. Consequently, they are bound to hire more and more spatial data scientists....
Bayesian Statistics: Mixture Models
by Abel Rodriguez- 4.7
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Approx. 22 hours to complete
Bayesian Statistics: Mixture Models introduces you to an important class of statistical models. The course is organized in five modules, each of which contains lecture videos, short quizzes, background reading, discussion prompts, and one or more peer-reviewed assignments. Some exercises require the use of R, a freely-available statistical software package. Basic concepts on Mixture Models...
Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames
by Alexey A. Dral , Pavel Klemenkov , Natalia Pritykovskaya , Pavel Mezentsev- 4
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Approx. 37 hours to complete
No doubt working with huge data volumes is hard, but to move a mountain, you have to deal with a lot of small stones. But why strain yourself? Using Mapreduce and Spark you tackle the issue partially, thus leaving some space for high-level tools. This course will teach you how to:...
End-to-End Machine Learning with TensorFlow on GCP
by Google Cloud Training- 4.5
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Approx. 13 hours to complete
In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www. coursera. org/specializations/machine-learning-tensorflow-gcp). One of the best ways to review something is to work with the concepts and technologies that you have learned. Prerequisites: Basic SQL, familiarity with Python and TensorFlow...
Applied Text Mining in Python
by V. G. Vinod Vydiswaran- 4.2
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Approx. 29 hours to complete
This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. Module 1: Working with Text in Python...
Practical SAS Programming and Certification Review
by Stacey Syphus , Peter Styliadis- 4.9
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Approx. 21 hours to complete
In this course you have the opportunity to use the skills you acquired in the two SAS programming courses to solve realistic problems. This course is also designed to give you a thorough review of SAS programming concepts so you are prepared to take the SAS Certified Specialist: Base Programming Using SAS 9....
Applied Social Network Analysis in Python
by Daniel Romero- 4.7
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Approx. 29 hours to complete
This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness. Why Study Networks and Basics on NetworkX...
Algorithms for DNA Sequencing
by Ben Langmead, PhD , Jacob Pritt- 4.7
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Approx. 12 hours to complete
We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets. DNA sequencing, strings and matching...
The R Programming Environment
by Roger D. Peng, PhD , Brooke Anderson- 4.4
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Approx. 27 hours to complete
This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings....
Hands-on Text Mining and Analytics
by Min Song- 3.9
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Approx. 13 hours to complete
This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists....
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