Search result for Applied data science specialization Online Courses & Certifications
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R Programming Hands-on Specialization for Data Science (Lv1)
by Irfan Elahi- 3.8
11 hours on-demand video
An in-depth course on R language with real-world Data Science examples to supercharge your R data analysis skills Taught by me, an experienced Data Scientist currently working in Deloitte (World's largest consultancy firm) in Australia and has worked on a number of Data Science projects in multiple niches like Retail, Web, Telecommunication and web-sector....
$12.99
SQL for Data Science Capstone Project
by Don Noxon- 3.9
Approx. 35 hours to complete
Whether you have successfully completed the other courses in the Learn SQL Basics for Data Science Specialization or are taking just this course, this project is your chance to apply the knowledge and skills you have acquired to practice important SQL querying and solve problems with data. Getting Started and Milestone 1: Project Proposal and Data Selection/Preparation...
Command Line Tools for Genomic Data Science
by Liliana Florea, PhD- 4.1
Approx. 12 hours to complete
This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University....
Introduction to Genomic Technologies
by Steven Salzberg, PhD , Jeff Leek, PhD- 4.6
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 Data Science Technology Quiz 4: Data Science Technology...
Statistics & Applied Data Science - Business Data Analysis
by Mahmoud Ali- 3.8
9 hours on-demand video
Data Science Statistics : Data Science from Scratch for Beginners : Data Analysis Techniques, Method Course : Analytics 270+ video lectures include real life practical projects and examples for people need to learn statistics for Machine learning and Data Analysis . Do you like jobs in data analysis and data science ?...
$12.99
Promote the Ethical Use of Data-Driven Technologies
by Renée Cummings , Aaron Hui , Megan Smith Branch , Eleanor 'Nell' Watson , Tania De Gasperis- 4.7
Approx. 21 hours to complete
You will learn types of bias and common ethical theories and how they can be applied to emerging technology, and examine legal and ethical privacy concepts as they relate to technologies such as artificial intelligence, machine learning and data science fields. Data Science Pipeline Distinguish between artificial intelligence and data science concepts....
The R Programming Environment
by Roger D. Peng, PhD , Brooke Anderson- 4.4
Approx. 27 hours to complete
This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings....
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Quantitative Research
by Susan Berman , Olivier Rubel, PhD- 4.4
Approx. 17 hours to complete
Week 3: Analyze statistical models that can be applied to your marketing data, so that you can make data-driven decisions about your marketing mix. Reviewing Your Data and Looking for Errors Descriptive Analysis: Nominal Data Descriptive Analysis: Ordinal and Interval Data Making Sense of Survey Data Quantitative Data Analysis Techniques for Data-Driven Marketing...
Computational Social Science Capstone Project
by Martin Hilbert- 4.7
Approx. 14 hours to complete
We scrape data from a social media site (drawing on the skills obtained in the 1st course of this specialization). We then analyze the collected data by visualizing the resulting networks (building on the skills obtained in the 3rd course). What is this Specialization About?...
Spatial Data Science and Applications
by Joon Heo- 4.4
Approx. 12 hours to complete
Based on such business trend, this course is designed to present a firm understanding of spatial data science to the learners, who would have a basic knowledge of data science and data analysis, and eventually to make their expertise differentiated from other nominal data scientists and data analysts. 1 Introduction to Spatial Data Science...