Search result for Data Analysis Online Courses & Certifications
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Applied Plotting, Charting & Data Representation in Python
by Christopher Brooks- 4.5
Approx. 20 hours to complete
This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations....
Doing More with SAS Programming
by Stacey Syphus- 4.8
Approx. 24 hours to complete
This course is for business analysts and SAS programmers who want to learn data manipulation techniques using the SAS DATA step and procedures to access, transform, and summarize data. The course builds on the concepts that are presented in the Getting Started with SAS Programming course and is not recommended for beginning SAS software users....
Spatial Data Science and Applications
by Joon Heo- 4.4
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
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
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
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
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
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
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
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...