Search result for Exploratory data analysis example Online Courses & Certifications
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Machine Learning and Data Science Hands-on with Python and R
by EDU CBA- 3.9
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72.5 hours on-demand video
Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. Example applications include spam filtering, optical character recognition (OCR), search engines and computer vision. Machine learning is sometimes conflated with data mining,] although that focuses more on exploratory data analysis....
$9.99
Apache Spark (TM) SQL for Data Analysts
by Kate Sullivan- 4.6
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Approx. 14 hours to complete
Apache Spark is one of the most widely used technologies in big data analytics. You will also learn how to work with Delta Lake, a highly performant, open-source storage layer that brings reliability to data lakes. Common struggles with big data Big Data Needs Exploratory Data Analysis lab introduction Your turn! Exploratory Data Analysis lab 3 Exploratory Data Analysis Quiz...
Data Processing and Analysis with Excel
by Beth Prince-Bradbury- 0.0
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4 Weeks
Learn to use Excel to organize and clean data so it can be manipulated and analyzed. Together we will develop a data analysis plan, after which we will apply analysis methods and tools, including exploratory analysis, evaluation of results, and comparison with other findings. ● Clean data ● Develop a data analysis plan...
$249
Hands-on Tableau-10: Data Science Case Studies In Tableau
by TheMachineLearning.Org .- 4.2
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4 hours on-demand video
Learn Tableau-10 practical for Data Science. Real-Life Data Visualization, Data analysis,analytics Exercises Projects. Learn data visualization through Tableau 10 and create opportunities for you or key decision makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks. Earthquake and geospatial data analysis Exploratory data analysis of H1B visa data...
$12.99
Specialized Models: Time Series and Survival Analysis
by Mark J Grover , Miguel Maldonado- 4.5
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Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Time Series Analysis and Survival Analysis. To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Supervised Machine Learning, Unsupervised Machine Learning, Probability, and Statistics....
Data Processing and Analysis with Excel
by Beth Prince-Bradbury- 0.0
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4 Weeks
Learn to use Excel to organize and clean data so it can be manipulated and analyzed. Together we will develop a data analysis plan, after which we will apply analysis methods and tools, including exploratory analysis, evaluation of results, and comparison with other findings. ● Perform basic data organization ● Develop a data analysis plan...
$249
Experimental Design Basics
by Douglas C. Montgomery- 4.7
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Approx. 13 hours to complete
The course objective is to learn how to plan, design and conduct experiments efficiently and effectively, and analyze the resulting data to obtain objective conclusions. Both design and statistical analysis issues are discussed. Portland Cement Data Example Florescence Data Example Hardness Testing Example Analysis of Variance (ANOVA) Residual Analysis for the Vascular Graft Example...
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Essential Design Principles for Tableau
by Govind Acharya , Hunter Whitney- 4.5
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Approx. 13 hours to complete
This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization. You will define and examine the similarities and differences of exploratory and explanatory analysis as well as begin to ask the right questions about what’s needed in a visualization. Design Best Practices and Exploratory Analysis Design and Exploratory Analysis Introduction...
Data Analytics in Accounting Capstone
by Linden Lu- 0.0
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Approx. 18 hours to complete
This capstone is the last course in the Data Analytics in Accountancy Specialization. You will explore the characteristics of the features in the dataset through statistical analysis, exploratory data analysis and visualization....
Statistics for Genomic Data Science
by Jeff Leek, PhD- 4.2
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Approx. 9 hours to complete
An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University. Exploratory Analysis (9:21) Exploratory Analysis in R Part I (7:22) Exploratory Analysis in R Part II (10:07) Exploratory Analysis in R Part III (7:26)...
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