Search result for Coursera data structure Online Courses & Certifications
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Discrete Math and Analyzing Social Graphs
by Владимир Подольский , Ilya V. Schurov , Stepan Kuznetsov- 4.4
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Approx. 20 hours to complete
The main goal of this course is to introduce topics in Discrete Mathematics relevant to Data Analysis. Finally, we will study the combinatorial structure that is the most relevant for Data Analysis, namely graphs. Our intended audience are all people that work or plan to work in Data Analysis, starting from motivated high school students....
Introduction to Data Science in Python
by Christopher Brooks- 4.5
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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. The Series Data Structure DataFrame Data Structure...
Biomedical Visualisation
by Paul Rea , Amy Webster- 4.6
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Approx. 22 hours to complete
It explores the structure and function of the human body including terminology used. It showcases visualisation techniques available using technology to image and display data related to the body and biological processes. Human Structure Structure and Terminology Formative Assessment Interview with Dr Claudia Krebs: Creating a 3D & AR Pelvic Structure...
Introduction to High-Throughput Materials Development
by Dr. Richard W. Neu , Dr. J. Carson Meredith- 4.6
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Approx. 16 hours to complete
Other courses will be offered by Georgia Tech through Coursera to concentrate on integrating (i) high-throughput experimentation with (ii) modeling and simulation and (iii) materials data sciences and informatics. High-Throughput Characterization of Composition and Structure Composition and Structure of Polymers Physical Structure of Polymers Chemical Structure of Polymers Crystal Structure of Inorganics...
Probabilistic Graphical Models 3: Learning
by Daphne Koller- 4.6
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Approx. 66 hours to complete
Following the first course, which focused on representation, and the second, which focused on inference, this course addresses the question of learning: how a PGM can be learned from a data set of examples. Learning BN Structure Structure Learning Overview Structure Scores Learning BNs with Incomplete Data Learning With Incomplete Data - Overview Learning with Incomplete Data...
Data Visualization and Communication with Tableau
by Daniel Egger , Jana Schaich Borg- 4.7
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Approx. 25 hours to complete
One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. By the end, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders....
Big Data Essentials: HDFS, MapReduce and Spark RDD
by Ivan Puzyrevskiy , Emeli Dral , Evgeniy Riabenko , Alexey A. Dral , Pavel Mezentsev- 4
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Approx. 41 hours to complete
- learn some basic technologies of the modern Big Data landscape, namely: HDFS, MapReduce and Spark; - grasp the MapReduce framework, a workhorse for many modern Big Data applications; Course Structure Big Data and Distributed File Systems Data Skew, Salting Data and code...
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Google Cloud Professional Data Engineer Course [2019 Update]
by Samuel Lee- 4.2
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4.5 hours on-demand video
Take this course to prepare for the GCP Data Engineers Exam. How to migrate data into GCP - Transfer Appliance & Storage Transfer Service Data loss prevention api Hi I’m Sam, a big data engineer, full stack web developer and machine learning/AI Enthusiast teaching you GCP in the most efficient and down to earth approach....
$15.99
Managing Big Data with MySQL
by Daniel Egger , Jana Schaich Borg- 4.7
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Approx. 32 hours to complete
You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them. Welcome to Managing Big Data with MySQL Problems with Having a Lot of Data Used by a Lot of People Queries to Extract Data from Single Tables Meet Your Dognition Data...
Introduction to Python Programming
by Brandon Krakowsky- 4
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Approx. 28 hours to complete
Students are introduced to core programming concepts like data structures, conditionals, loops, variables, and functions. Introduction to core programming concepts: Data structures, Conditionals, Variables, Functions, and Loops Module 3 Resources (DOWNLOAD RELEVANT CODE AND/OR DATA FILES FOR THIS MODULE HERE) Module 4 Resources (DOWNLOAD RELEVANT CODE AND/OR DATA FILES FOR THIS MODULE HERE)...
