About this Specialization
Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.
| From | Johns Hopkins University, The University of California San Diego, UCSanDiegoX, UC San DiegoX, IBM, IBM Skills Network via Coursera |
|---|---|
| Hours | 261 |
| Instructors | Roger D. Peng, PhD, Brian Caffo, PhD, Jeff Leek, PhD, Ilkay Altintas, Leo Porter, Joseph Santarcangelo, Rav Ahuja |
| Language | English |
| Subjects | Data Science Mathematics Programming |
Similar Courses
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Event Specialist and Data Collection Specialist $40k
Data Steward/Analyst $52k
Sn Data Analyst $75k
LAN/WAN Data Analyst $84k
Mobile Data Analyst $92k
Analyst, Fixed Income Data Management Consultant $101k
Assistant Research and Data Analyst Consultant $104k
Vice Assistant President Data Scientist Development Program $106k
Deputy Data Management Specialist $127k
Big Data Analytics Platform Architect and Business Intelligence Leader $143k
Data warehouse & BI professional $175k
Data Warehouse Solutions Architect $192k
Courses in this Specialization
Listed in the order in which they should be taken
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Jun |
The Data Scientist’s Toolbox (You were viewing this course) In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data... Coursera | Johns Hopkins University |
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Jun |
Python for Data Science, AI & Development Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data... Coursera | The University of California San Diego, UCSanDiegoX, UC San DiegoX, IBM, IBM Skills Network |
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Jun |
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical... Coursera | Johns Hopkins University |
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Jun |
Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs,... Coursera | Johns Hopkins University |
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Jun |
This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the... Coursera | Johns Hopkins University |
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Jun |
This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more... Coursera | Johns Hopkins University |
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Jun |
Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical... Coursera | Johns Hopkins University |
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Jun |
Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most... Coursera | Johns Hopkins University |
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Jun |
One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. This course will cover the basic components of building and... Coursera | Johns Hopkins University |
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Jun |
A data product is the production output from a statistical analysis. Data products automate complex analysis tasks or use technology to expand the utility of a data informed... Coursera | Johns Hopkins University |
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Jul |
The capstone project class will allow students to create a usable/public data product that can be used to show your skills to potential employers. Projects will be drawn from... Coursera | Johns Hopkins University |
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| From | Johns Hopkins University, The University of California San Diego, UCSanDiegoX, UC San DiegoX, IBM, IBM Skills Network via Coursera |
|---|---|
| Hours | 261 |
| Instructors | Roger D. Peng, PhD, Brian Caffo, PhD, Jeff Leek, PhD, Ilkay Altintas, Leo Porter, Joseph Santarcangelo, Rav Ahuja |
| Language | English |
| Subjects | Data Science Mathematics Programming |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Event Specialist and Data Collection Specialist $40k
Data Steward/Analyst $52k
Sn Data Analyst $75k
LAN/WAN Data Analyst $84k
Mobile Data Analyst $92k
Analyst, Fixed Income Data Management Consultant $101k
Assistant Research and Data Analyst Consultant $104k
Vice Assistant President Data Scientist Development Program $106k
Deputy Data Management Specialist $127k
Big Data Analytics Platform Architect and Business Intelligence Leader $143k
Data warehouse & BI professional $175k
Data Warehouse Solutions Architect $192k
Similar Courses
Sorted by relevance
