Search result for Data analysis course for beginners Online Courses & Certifications
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Big Data, Genes, and Medicine
by Isabelle Bichindaritz- 4.2
Approx. 40 hours to complete
This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. Working with cBioPortal - Genetic Data Analysis Module 1 cBioPortal Data Analytics Preparing Datasets for Analysis R Scripts for Gene Alterations Clustering and Pathway Analysis Pathway Analysis R Scripts for Clustering and Pathway Analysis...
Managing Cybersecurity Incidents and Disasters
by Herbert J. Mattord, Ph.D., CISM, CISSP, CDP , Michael Whitman, Ph.D., CISM, CISSP- 4.8
Approx. 15 hours to complete
This course examines contingency planning used to prepare for and manage non-normal operations, including cybersecurity incidents – like hacking attempts, web site defacement, denial of service attacks, information disclosures; a well as other natural and man-made cybersecurity disasters. The Business Impact Analysis Course Wrap Up for Managing Cybersecurity Incidents and Disasters...
Machine Learning for Data Analysis
by Jen Rose , Lisa Dierker- 4.2
Approx. 10 hours to complete
This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Some Guidance for Learners New to the Specialization Course Codebooks Course Data Sets Uploading Your Own Data to SAS Data Set for Decision Tree Videos (tree_addhealth. Data Management for Lasso Regression in Python...
Statistics for Genomic Data Science
by Jeff Leek, PhD- 4.2
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. Welcome to Statistics for Genomic Data Science Exploratory Analysis (9:21) Exploratory Analysis in R Part I (7:22) Statistics for Genomic Data Science Wrap-Up (1:53)...
SQL for Data Science Capstone Project
by Don Noxon- 3.9
Approx. 35 hours to complete
This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems. Getting Started and Milestone 1: Project Proposal and Data Selection/Preparation Entity Relationship Diagram (ERD) for Analysis TF-IDF for Word Frequency / Theme Analysis Using SQL for Data Science, Part 1 Using SQL for Data Science, Part 2...
Evaluation of Digital Health Interventions
by Lisa Danquah , Céire Costelloe- 0.0
Approx. 32 hours to complete
This course focuses on data, evaluation methods and the economic evaluation of digital health interventions. This module focuses on key data considerations for digital health including data management, data visualisation and methods for evaluating digital health interventions. Data considerations for Digital Health Data and Digital Health - Why is it important? Data Requirements and Considerations for Digital Health...
Business Analytics for Decision Making
by Manuel Laguna- 4.6
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...
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Wrangling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.8
Approx. 14 hours to complete
Data never arrive in the condition that you need them in order to do effective data analysis. This course addresses the problem of wrangling your data so that you can bring them under control and analyze them effectively. Exploratory Data Analysis Exploratory Data Analysis Wrangling Data in the Tidyverse Course Project Conduct basic exploratory data analysis...
Spatial Analysis and Satellite Imagery in a GIS
by Don BoyesTop Instructor- 4.9
Approx. 14 hours to complete
Then, we will discuss simple yet powerful analysis methods that use vector data to find spatial relationships within and between data sets. In this section, you will also learn about how to use ModelBuilder, a simple but powerful tool for building analysis flowcharts that can then also be run as models. GIS Software needed for this course...
Meaningful Predictive Modeling
by Julian McAuley , Ilkay Altintas- 4.4
Approx. 9 hours to complete
This course will help us to evaluate and compare the models we have developed in previous courses. So far we have developed techniques for regression and classification, but how low should the error of a classifier be (for example) before we decide that the classifier is "good enough"? Week 1: Diagnostics for Data Diagnostics for Data...