Search result for Best software for data analysis Online Courses & Certifications
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Data Analysis and Visualization
by Peter Baumgartner , Brittany O'Dea- 4.3
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Approx. 11 hours to complete
By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. Data Analysis Software Tools Introduction to Data Analysis and Visualization Data Analysis Tools Resources (Optional) Data Analysis Software Tools...
Applied Data Science Capstone
by Joseph Santarcangelo , Alex Aklson- 4.7
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Approx. 10 hours to complete
This capstone project course will give you a taste of what data scientists go through in real life when working with data. You will learn about location data and different location data providers, such as Foursquare. Exploratory Data Analysis (EDA) Exploratory Data Analysis Overview Exploratory Data Analysis using SQL Exploratory Data Analysis Best Practices For Presenting Your Findings...
Power and Sample Size for Multilevel and Longitudinal Study Designs
by Albert Ritzhaupt- 4.4
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Approx. 24 hours to complete
Power and Sample Size for Longitudinal and Multilevel Study Designs, a five-week, fully online course covers innovative, research-based power and sample size methods, and software for multilevel and longitudinal studies. The power and sample size methods and software taught in this course can be used for any health-related, or more generally, social science-related (e....
Introduction to Data Analytics
by Rav Ahuja- 4.8
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Approx. 11 hours to complete
You will learn the responsibilities of a Data Analyst and exactly what data analysis entails. Defining Data Analysis Data Analysis Languages for Data Professionals Identifying Data for Analysis Tools for Data Wrangling Tools for Data Mining Overview of Communicating and Sharing Data Analysis Findings Using Data Analysis for Detecting Credit Card Fraud...
Network Analysis in Systems Biology
by Avi Ma’ayan, PhD- 4.5
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Approx. 30 hours to complete
The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. Deep Sequencing Data Processing and Analysis Resources for Data Integration - Part 3 Resources for Data Integration - Part 4 Resources for Data Integration...
Cloud Applications
by Umakishore Ramchandran- 0.0
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Approx. 4 hours to complete
This course provides an introduction to the development and support for Cloud-native applications, more specifically it delves into best practices of developing applications; migrating on premise applications to the cloud; the basic building blocks and properties expected from Cloud applications. Best Practices for Scalable Cloud App Development Best Practices for Ensuring Reliability and Availability...
Managing Data Analysis
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.6
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Approx. 9 hours to complete
We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. Explore datasets to determine if data are appropriate for a given question Integrate statistical findings to form coherent data analysis presentations Managing Data Analysis Data Analysis Iteration...
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Real-Time Mission-Critical Systems Design
by Sam Siewert- 0.0
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Approx. 50 hours to complete
This course can also be taken for academic credit as ECEA 5317, part of CU Boulder’s Master of Science in Electrical Engineering degree. Using Point-to-point Serial and TCP/IP for Embedded Systems RAID for RT Embedded Systems Mission Critical Data Code Demonstration: XOR RAID for Data Loss Fault Tolerance Best Practices for RTES Programming...
Business Analytics for Decision Making
by Manuel Laguna- 4.6
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Approx. 9 hours to complete
In this course you will learn how to create models for decision making. We will start with cluster analysis, a technique for data reduction that is very useful in market segmentation. Data Exploration and Reduction — Cluster Analysis What is Cluster Analysis Data Reduction and Unsupervised Learning Preparing Data and Measuring Dissimilarities...
Introduction to Genomic Technologies
by Steven Salzberg, PhD , Jeff Leek, PhD- 4.6
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Approx. 6 hours to complete
You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed. This is the first course in the Genomic Data Science Specialization. Memory and Data Structures Software Engineering What is Computational Biology Software Data Science Technology...
