Search result for Master of library and information science Online Courses & Certifications
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Foundations of Data Science: K-Means Clustering in Python
by Dr Matthew Yee-King , Dr Betty Fyn-Sydney , Dr Jamie A Ward , Dr Larisa Soldatova- 4.6
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Approx. 29 hours to complete
Managing and analysing big data has become an essential part of modern finance, retail, marketing, social science, development and research, medicine and government. This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses....
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. Describe common Python functionality and features used for data science...
Data Processing Using Python
by ZHANG Li- 4.2
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Approx. 29 hours to complete
Also, it discusses the fast, convenient and efficient data processing capacity of Python in humanities and social sciences fields like literature, sociology and journalism and science and engineering fields like mathematics and biology, in addition to business fields. 3 Data Clean of Data Exploration and Preprocessing 4 Aplications of Python into Science and Engineering Fields...
Case studies in business analytics with ACCENTURE
by Nicolas Glady- 3.7
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Approx. 8 hours to complete
The cases will be presented by senior practitioners from Accenture with different backgrounds in term of industry, function, and country. Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Market trends and key challenges in Analytics - Mickael Svilar...
Algorithms for Searching, Sorting, and Indexing
by Sriram Sankaranarayanan- 4.6
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Approx. 34 hours to complete
Algorithms for Searching, Sorting, and Indexing can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others....
Applied Plotting, Charting & Data Representation in Python
by Christopher Brooks- 4.5
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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....
NumPy Library
by Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight!- 4.9
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3.5 hours on-demand video
Although this extra information is what makes Python a dynamically typed language, it also comes at a cost which becomes apparent when storing a large collection of objects, like in an array. And most of this information is rendered redundant when all the objects stored in the list are of the same type!...
$12.99
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Managing, Describing, and Analyzing Data
by Wendy Martin- 4.4
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Approx. 17 hours to complete
This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. Types of Data and Measurement Scales...
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. We will provide you with relevant notions from the graph theory, illustrate them on the graphs of social networks and will study their basic properties. This Course is part of HSE University Master of Data Science degree program....
Introduction to High-Performance and Parallel Computing
by Shelley Knuth , Thomas Hauser- 3.4
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Approx. 18 hours to complete
This course introduces the fundamentals of high-performance and parallel computing. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others....
