Search result for Example of data analysis Online Courses & Certifications
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Statistics for Data Science with Python
by Murtaza Haider , Aije Egwaikhide- 4.6
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Approx. 12 hours to complete
This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis. You will take a hands-on approach to statistical analysis using Python and Jupyter Notebooks – the tools of choice for Data Scientists and Data Analysts. Types of Data...
Predictive Modeling, Model Fitting, and Regression Analysis
by Dursun Delen , Julie Pai- 4.4
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Approx. 4 hours to complete
We will review how a model can be fitted, trained and scored to apply to both historical and future data in an effort to address business objectives. Data Dimensionality and Classification Analysis Data Dimensionality and Classification Analysis Regression Analysis Regression Analysis The application of predictive modeling to professional and academic work Applications of regression analysis (linear and logistic)...
Data Structures
by Alexander S. Kulikov , Michael Levin , Daniel M Kane , Neil Rhodes- 4.6
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Approx. 25 hours to complete
A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. This will help you to understand what is going on inside a particular built-in implementation of a data structure and what to expect from it. (Optional) Splay Trees: Analysis...
Data Analysis Using Python
by Brandon Krakowsky- 4.5
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Approx. 17 hours to complete
Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. Histograms Coding Demonstration : To show distribution of data Understand and apply core concepts like Data Frames and joining data, and use data analysis libraries like pandas, numpy, and matplotlib...
IBM Data Analyst Capstone Project
by Ramesh Sannareddy , Rav Ahuja- 4.6
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Approx. 13 hours to complete
You will assume the role of an Associate Data Analyst who has recently joined the organization and be presented with a business challenge that requires data analysis to be performed on real-world datasets. The project will culminate with a presentation of your data analysis report, with an executive summary for the various stakeholders in the organization....
Big Data Emerging Technologies
by Jong-Moon Chung- 4.7
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Approx. 30 hours to complete
The top companies in the world are currently using big data technology, and every company is in need of advanced big data technology support. The last part focuses on providing experience on one of the most famous and widely used big data statistical analysis systems in the world, the IBM SPSS Statistics. 1 Big Data Market Analysis...
Algorithms for Searching, Sorting, and Indexing
by Sriram Sankaranarayanan- 4.6
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Approx. 34 hours to complete
This course covers basics of algorithm design and analysis, as well as algorithms for sorting arrays, data structures such as priority queues, hash functions, and applications such as Bloom filters. 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....
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ETAP Power System Analysis For Electrical Engineers
by Elektrik Power Academy- 0.0
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9 hours on-demand video
Fundamentals of Power System Analysis Load Flow Analysis - Theory, Comparison of Hand Calculations and ETAP Results Load Flow Analysis Example Short Circuit Analysis - Theory, Comparison of Hand Calculations and ETAP Results Short Circuit Analysis - Vendor Type Testing of Medium and Low Voltage Circuit Breaker (IEC Standard) Short Circuit Analysis Example...
$14.99
Data Visualization in Tableau
by Mat Leonard- 0.0
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Approx. 3 weeks
Data visualization skills are tremendously important in today’s data driven economy. Learn the fundamentals of data visualization and practice communicating with data. lesson 2 Design Principles Use chart type color size and shape to get the most out of data visualizations. Learn about the importance of limiting the amount of data presented in an analysis....
Free
Introduction to Probability and Data with R
by Mine Çetinkaya-Rundel- 4.7
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Approx. 14 hours to complete
You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. Exploratory Data Analysis and Introduction to Inference Exploratory Data Analysis and Introduction to Inference Project Data Analysis Project Example Data Analysis Project...
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