Search result for Data analysis process map Online Courses & Certifications
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Statistics with R Capstone
by Merlise A Clyde , Colin Rundel , David Banks , Mine Çetinkaya-Rundel- 4.6
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Approx. 6 hours to complete
A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the previous courses, including exploratory data analysis through data visualization and numerical summaries, statistical inference, and modeling as well as interpretations of these results in the context of the data and the research question....
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)...
Model Building and Validation
by Don Dini , Rishi Pravahan- 0.0
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Approx. 8 weeks
Many of you may have already taken a course in machine learning or data science or are familiar with machine learning models. lesson 1 Introduction to the QMV Process Learn about the Question Modeling and Validation (QMV) process of data analysis. Analyze the AT&T connected cars data set....
Free
RShiny for Everyone
by Owen Bezick- 0.0
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4 Weeks
Using R Shiny, you will expand your data analysis and visualization skills while developing your workflow through web application deployment. If you are a beginner level data professional, a student, a researcher, an academic marketing analyst, business and data analyst, or financial analyst, this course is for you. Storing data using the Google Sheets API...
$199
Lean Six Sigma Green Belt Online Course with Python
by Nilakantasrinivasan Janakiraman- 4.4
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17.5 hours on-demand video
Prepare for Six Sigma Green Belt Certification & Perform Data Analysis Using Python - No Programming Experience Needed Lean Six Sigma involves a lot of Data Analysis & Statistical Discovery Traditionally Lean Six Sigma Data Analysis uses Minitab & Excel Data Analysis in Python with Step by Step Procedure for All Six Sigma Analysis - No Programming Experience Needed...
$9.99
Evaluation of Digital Health Interventions
by Lisa Danquah , Céire Costelloe- 0.0
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Approx. 32 hours to complete
This module focuses on key data considerations for digital health including data management, data visualisation and methods for evaluating digital health interventions. Data and Digital Health - Why is it important? Types of data in Digital Health Data Requirements and Considerations for Digital Health Data Management (Video) Visualising big data to tackle antimicrobial resistance...
Learn Advance Data Visualization with R
by Easylearning guru- 3.4
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2.5 hours on-demand video
Learn Advance Concepts of Data Visualisation. You will learn how to visualise the data using R programming tool. In Data visualization with R course you will learn about Advanced Data visualization using different packages in R. Instead, the course focuses on how to visually encode and present data to an audience once an insight has been found....
$9.99
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Data Wrangling, Analysis and AB Testing with SQL
by Katrina Glaeser- 3.4
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Approx. 16 hours to complete
We'll select and perform the optimal JOIN for a data science inquiry and clean data within an analysis dataset by deduping, running quality checks, backfilling, and handling nulls. Finally, given a predictive analysis need, we'll engineer a feature from raw data using the tools and skills we've built over the course....
Wrangling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.8
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Approx. 14 hours to complete
Data never arrive in the condition that you need them in order to do effective data analysis. Data need to be re-shaped, re-arranged, and re-formatted, so that they can be visualized or be inputted into a machine learning algorithm. Tidy Data Review Exploratory Data Analysis Exploratory Data Analysis Conduct basic exploratory data analysis...
Data Mining Project
by Jiawei Han , ChengXiang Zhai , John C. Hart- 4.6
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Approx. 11 hours to complete
Cuisine map construction: mine the data set to understand the landscape of different types of cuisines and their similarities. By working on these tasks, you will gain experience with a typical workflow in data mining that includes data preprocessing, data exploration, data analysis, improvement of analysis methods, and presentation of results....
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