A 11-course Specialization from Coursera

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Data Science

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Launch Your Career in Data Science

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.

Coursera

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Johns Hopkins University, The University of California San Diego, UCSanDiegoX, UC San DiegoX, IBM

From Johns Hopkins University, The University of California San Diego, UCSanDiegoX, UC San DiegoX, IBM 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

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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

Starts Course Information

May
11

The Data Scientist’s Toolbox

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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May
18

Python for Data Science and AI

This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from...

Coursera | The University of California San Diego, UCSanDiegoX, UC San DiegoX, IBM

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May
11

R Programming

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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May
11

Getting and Cleaning Data

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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May
11

Exploratory Data Analysis

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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May
11

Reproducible Research

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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May
11

Statistical Inference

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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May
11

Regression Models

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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May
11

Practical Machine Learning

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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May
11

Developing Data Products

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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May
25

Data Science Capstone

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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For $49
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Coursera

&

Johns Hopkins University, The University of California San Diego, UCSanDiegoX, UC San DiegoX, IBM

From Johns Hopkins University, The University of California San Diego, UCSanDiegoX, UC San DiegoX, IBM 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