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Courses>Database Design & Development>Introduction to Data Science with Python
Introduction to Data Science with Python
Price:Free
Length:8 weeks
Content type:video
level:beginner
Language:English
Category:Data Science
SubCategory:Database Design & Development
Updated:24 February 2024
Published:17 December 2022
Similar courses
Opportunities
.
Courses>Database Design & Development>Introduction to Data Science with Python
Introduction to Data Science with Python
Tags
computer science
data science
PreviewJoin Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and analyze data.
Description

Every single minute, computers across the world collect millions of gigabytes of data. What can you do to make sense of this mountain of data? How do data scientists use this data for the applications that power our modern world?

Data science is an ever-evolving field, that uses algorithms and scientific methods to parse complex data sets. Data scientists use a range of programming languages, such as Python and R, to harness and analyze data. This course focuses on using Python in data science. By the end of the course, you’ll have a fundamental understanding of machine learning models and basic concepts around Machine Learning (ML) and Artificial Intelligence (AI). 

Using Python, learners will study regression models (Linear, Multilinear, and Polynomial) and classification models (kNN, Logistic), utilizing popular libraries such as sklearn, Pandas, matplotlib, and numPy. The course will cover key concepts of machine learning such as: picking the right complexity, preventing overfitting, regularization, assessing uncertainty, weighing trade-offs, and model evaluation. Participation in this course will build your confidence in using Python, preparing you for more advanced study in Machine Learning (ML) and Artificial Intelligence (AI), and advancement in your career.

Learners must have a minimum baseline of programming knowledge (preferably in Python) and statistics in order to be successful in this course. Python prerequisites can be met with an introductory Python course offered through CS50’s Introduction to Programming with Python, and statistics prerequisites can be met via Fat Chance or with Stat110 offered through HarvardX.

Course Content
Gain hands-on experience and practice using Python to solve real data science challenges
Practice Python coding for modeling, statistics, and storytelling
Utilize popular libraries such as Pandas, numPy, matplotlib, and SKLearn
Run basic machine learning models using Python, evaluate how those models are performing, and apply those models to real-world problems
Build a foundation for the use of Python in machine learning and artificial intelligence, preparing you for future Python study
Introduction to Data Science with Python
Price:Free
Length:8 weeks
Content type:video
level:beginner
Language:English
Category:Data Science
SubCategory:Database Design & Development
Updated:24 February 2024
Published:17 December 2022
Similar courses
Opportunities
.
Author
Pavlos ProtopapasWeb Site
Similar courses
Opportunities
Make the most out of your online education
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Careertail
Courses>Database Design & Development>Introduction to Data Science with Python
Introduction to Data Science with Python
Price:Free
Length:8 weeks
Content type:video
level:beginner
Language:English
Category:Data Science
SubCategory:Database Design & Development
Updated:24 February 2024
Published:17 December 2022
Similar courses
Opportunities
.
Courses>Database Design & Development>Introduction to Data Science with Python
Introduction to Data Science with Python
Tags
computer science
data science
PreviewJoin Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and analyze data.
Description

Every single minute, computers across the world collect millions of gigabytes of data. What can you do to make sense of this mountain of data? How do data scientists use this data for the applications that power our modern world?

Data science is an ever-evolving field, that uses algorithms and scientific methods to parse complex data sets. Data scientists use a range of programming languages, such as Python and R, to harness and analyze data. This course focuses on using Python in data science. By the end of the course, you’ll have a fundamental understanding of machine learning models and basic concepts around Machine Learning (ML) and Artificial Intelligence (AI). 

Using Python, learners will study regression models (Linear, Multilinear, and Polynomial) and classification models (kNN, Logistic), utilizing popular libraries such as sklearn, Pandas, matplotlib, and numPy. The course will cover key concepts of machine learning such as: picking the right complexity, preventing overfitting, regularization, assessing uncertainty, weighing trade-offs, and model evaluation. Participation in this course will build your confidence in using Python, preparing you for more advanced study in Machine Learning (ML) and Artificial Intelligence (AI), and advancement in your career.

Learners must have a minimum baseline of programming knowledge (preferably in Python) and statistics in order to be successful in this course. Python prerequisites can be met with an introductory Python course offered through CS50’s Introduction to Programming with Python, and statistics prerequisites can be met via Fat Chance or with Stat110 offered through HarvardX.

Course Content
Gain hands-on experience and practice using Python to solve real data science challenges
Practice Python coding for modeling, statistics, and storytelling
Utilize popular libraries such as Pandas, numPy, matplotlib, and SKLearn
Run basic machine learning models using Python, evaluate how those models are performing, and apply those models to real-world problems
Build a foundation for the use of Python in machine learning and artificial intelligence, preparing you for future Python study
Introduction to Data Science with Python
Price:Free
Length:8 weeks
Content type:video
level:beginner
Language:English
Category:Data Science
SubCategory:Database Design & Development
Updated:24 February 2024
Published:17 December 2022
Similar courses
Opportunities
.
Author
Pavlos ProtopapasWeb Site
Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot