# Data Science: Statistics and Machine Learning Specialization(Offered by Johns Hopkins University)

Learn Data Science and Machine Learning with Statistics. Build models, make inferences, and deliver interactive data products.

# What you will learn

- Perform regression analysis, least squares and inference using regression models.
- Build and apply prediction functions
- Develop public data products
- Understand the process of drawing conclusions about populations or scientific truths from data

## https://www.coursera.org/specializations/data-science-statistics-machine-learning

# There are 5 Courses in this Specialization

**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 modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference. A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance. This course presents the fundamentals of inference in a practical approach for getting things done. After taking this course, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data.**Regression Models:****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 applying prediction functions with an emphasis on practical applications. The course will provide basic grounding in concepts such as training and tests sets, overfitting, and error rates. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation.**Developing Data Products:****Data Science Capstone:**

# About this Specialization

Build models, make inferences, and deliver interactive data products. This specialization continues and develops on the material from the *Data Science: Foundations using R** *specialization. It covers statistical inference, regression models, machine learning, and the development of data products. In the Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, learners will have a portfolio demonstrating their mastery of the material.

The five courses in this specialization are the very same courses that make up the second half of the Data Science Specialization. This specialization is presented for learners who have already mastered the fundamentals and want to skip right to the more advanced courses.

# Skills you will gain

**Machine Learning**, **Github**, **R Programming**,** Regression Analysis**, **Data Visualization (DataViz)**, **Statistics**, **Statistical Inference**, **Statistical Hypothesis Testing**, **Model Selection**, **Generalized Linear Model**, **Linear Regression, Random Forest.**

# Applied Learning Project

Each course in this Data Science: Statistics and Machine Learning Specialization includes a hands-on, peer-graded assignment. To earn the Specialization Certificate, you must successfully complete the hands-on, peer-graded assignment in each course, including the final Capstone Project.

# How the Specialization Works:

# Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you’d like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

# Hands-on Project

Every Specialization includes a hands-on project. You’ll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you’ll need to finish each of the other courses before you can start it.

# Earn a Certificate

When you finish every course and complete the hands-on project, you’ll earn a Certificate that you can share with prospective employers and your professional network.

# Offered by

## Johns Hopkins University

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.