This document is a certificate from Johns Hopkins University recognizing the completion of their online Data Science Specialization by Sudhir Kudikala. The specialization consisted of 10 courses covering the data science pipeline from R programming to machine learning to developing data products, as well as a capstone project. It provides students with the concepts and tools needed to think analytically about problems, manage large data, perform statistical analysis, create visualizations, and build machine learning models.

1. 10 Courses
The Data Scientist’s Toolbox
R Programming
Getting and Cleaning Data
Exploratory Data Analysis
Reproducible Research
Statistical Inference
Regression Models
Practical Machine Learning
Developing Data Products
Data Science Capstone
Brian Caffo, PhD, MS
Department of
Biostatistics
Johns Hopkins
Bloomberg School of
Public Health
Jeffrey Leek, PhD
Department of
Biostatistics
Johns Hopkins
Bloomberg School of
Public Health
Roger D. Peng, PhD
Department of
Biostatistics
Johns Hopkins
Bloomberg School of
Public Health
SUDHIR KUDIKALA
has successfully completed the online, non-credit Specialization
Data Science
A sequence of nine 4-week courses followed by a culminating
8-week project.
The Data Science Specialization covers the concepts and tools for
an entire data science pipeline. Successful participants learn how
to use the tools of the trade, think analytically about complex
problems, manage large data sets, deploy statistical principles,
create visualizations, build and evaluate machine learning
algorithms, publish reproducible analyses, and develop data
products.
View this certificate on Coursera.
This certificate does not confer academic credit toward a degree or official status at the Johns Hopkins University.