Certificate in Data Science

Offered byeCornell

Certificate in Data Science
at
eCornell
Overview

Enhance Skills with Certificate in Data Science for Profound Analytical Proficiency and Career Advancement

Duration	4 months
Start from	1st Jan'25
Total fee	₹3.05 Lakh
Mode of learning	Online
Official Website	Go to Website
Credential	Certificate

Certificate in Data Science
at
eCornell
Highlights

Earn a certificate after completion of course from eCornell
Learn from expert faculty
Real world projects
Apply learnings and insights to your work to make an impact right away
Learn on your schedule without stepping out of your job

Certificate in Data Science
at
eCornell
Course details

Skills you will learn

Regression R Data Science

Who should do this course?

Current and aspiring data scientists

Analysts

Engineers

Researchers

Technical managers

What are the course deliverables?

Explore the data analytics process and examine the tools available to improve decision making

Use unsupervised learning techniques to help identify patterns in data and create visualizations to better spot those patterns

Categorize data using supervised learning algorithms

Predict the value of continuous variables with linear regression

Use neural networks to make predictions about new data

More about this course

In this program, you’ll apply data science tools to the collection of data and the translation of data into information, constructing models that can be used to address the questions that you're investigating

You’ll have the opportunity to apply data analytics as a four-part process: gathering data, looking for patterns in that data, finding insights in any patterns you discover, and using those insights to make decisions

This process does not make decisions for you, but it will help you to better understand the effects of the decisions you might make

Certificate in Data Science
at
eCornell
Curriculum

Understanding Data Analytics

In this course, you will determine the types of engineering and business questions you can answer, the kinds of problems you can solve, and the decisions you can make, all through using data analytics

You will explore best practices for collecting information so that you can make informed predictions, develop insights, and better inform organizational decision-making

Finding Patterns in Data Using Association Rules, PCA, and Factor Analysis

In this course, you will explore several powerful and commonly utilized techniques for distilling patterns from data

You will implement each of these techniques using the free and open-source statistical programming language R with real-world data sets

Finding Patterns in Data Using Cluster and Hotspot Analysis

In this course, you will explore several powerful and commonly utilized techniques for performing both cluster and hotspot analysis

You will implement these techniques using the free and open-source statistical programming language R with real-world data sets

Regression Analysis and Discrete Choice Models

In this course, you will explore several types of statistical models used with data to make predictions

These models bring with them a whole batch of important concerns, such as estimation and validation, that make the entire process into both an art and a science

You will implement each of these techniques using the free and open-source statistical programming language R with real-world data sets

Supervised Learning Techniques

In this course, you will explore several powerful and commonly utilized techniques for supervised learning

You will implement each of these techniques using the free and open-source statistical programming language R with real-world data sets

Neural Networks and Machine Learning

In this course, you will explore the mechanics of neural networks and the intricacies involved in fitting them to data for prediction

Using packages in the free and open-source statistical programming language R with real-world data sets, you will implement these techniques

Certificate in Data Science
at
eCornell
Faculty details

Linda Nozick

Linda Nozick is Professor and Director of Civil and Environmental Engineering at Cornell University. She is co-founder and a past director of the College Program in Systems Engineering and has been the recipient of several awards, including a CAREER award from the National Science Foundation and a Presidential Early Career Award for Scientists and Engineers from President Clinton for “the development of innovative solutions to problems associated with the transportation of hazardous waste.