Search result for Analysis of qualitative data Online Courses & Certifications
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Bioinformatics: Introduction and Methods 生物信息学: 导论与方法
by Ge Gao 高歌, Ph.D. , Liping Wei 魏丽萍, Ph.D.- 4.4
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Approx. 25 hours to complete
Alignment with Affine Gap Penalty and Calculation of Time Complexity of The Needleman-Wunsch Algorithm Computer Lab: RNA-seq Data Analysis RNA-seq (English Subtitles) Prediction and Analysis of Noncoding RNA Prediction and Analysis of Noncoding RNA Origination of New Genes Origination of de novo Genes from Noncoding RNAs Origination of New Genes Evolution function analysis of DNA methyltransferase...
Introduction to Systems Biology
by Ravi Iyengar, PhD- 4.3
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Approx. 19 hours to complete
Two major reasoning threads are: the design, execution and interpretation of multivariable experiments that produce large data sets; quantitative reasoning, models and simulations. Overview of Systems Level Reasoning & Molecules to Pathways Analysis of Networks | Topology to Function Analysis of Networks I Analysis of Networks II Analysis of Networks | Topology to Function...
Introduction to Data Science in Python
by Christopher Brooks- 4.5
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Approx. 31 hours to complete
This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python. Fundamentals of Data Manipulation with Python 50 years of Data Science, David Donoho (Optional)...
Management and financial accounting: Know your numbers 1
by Dr John-Paul Monck- 4.7
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Approx. 14 hours to complete
This course will provide you with a sound foundational understanding of financial and management accounting, and how to use accounting to facilitate and align decisions made by owners, managers and employees. Accounting data and its application: A manager's guide Analysis for success: Choosing the right information Building blocks: Financial analysis and forecasting...
Raising Capital: Credit Tech, Coin Offerings, and Crowdfunding
by Andrew Wu , Robert Dittmar- 4.7
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Approx. 8 hours to complete
Consider the benefits and challenges of disruptive capital-raising technology. You will examine disruptive technologies in credit scoring, raising capital through tokenization, and the evolution of crowdfunding for both debt and equity financing. Credit Analysis and Scoring Data Analysis and Credit Part 1 Data Analysis and Credit Part 2 End of Module Quiz Capital Structure in the Age of FinTech...
Data Management and Visualization
by Lisa Dierker- 4.4
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Approx. 12 hours to complete
By the end of the course, you will be able to use powerful data analysis tools – either SAS or Python – to manage and visualize your data, including how to deal with missing data, variable groups, and graphs. SAS Lesson 1 - Defining exploratory data analysis Python Lesson 1 - Defining Exploratory Data Analysis...
Process Mining: Data science in Action
by Wil van der Aalst- 4.7
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Approx. 22 hours to complete
Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Various other process analysis techniques that use event data will be presented. Using Event Data to Tear Down the Towers of Babel in Process Management...
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Fundamentals of Data Analysis for Big Data
by Illumeo Learning- 4.3
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1 hour on-demand video
This course prepares participants to begin running data analysis on databases. This course prepares participants to begin running data analysis on databases. Both univariate and multivariate analysis are covered with a particular focus on regression analysis. Regression analysis is done in Excel, SAS, and Stata to give viewers a sense of familiarity with a variety of different software package structures....
$9.99
Regression Modeling in Practice
by Jen Rose , Lisa Dierker- 4.4
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Approx. 11 hours to complete
This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. You will examine multiple predictors of your outcome and be able to identify confounding variables, which can tell a more compelling story about your results. How to Write About Data Basics of Linear Regression...
Applied Data Science for Data Analysts
by Kevin Coyle , Mark Roepke , Emma Freeman- 4.2
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Approx. 16 hours to complete
In this course, you will develop your data science skills while solving real-world problems. You'll work through the data science process to and use unsupervised learning to explore data, engineer and select meaningful features, and solve complex supervised learning problems using tree-based models. Review of Data Science Data Science Process vs....
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