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Practical Data Science Specialization 

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Practical Data Science Specialization
 at 
Coursera 
Overview

Duration

3 months

Start from

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Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

Practical Data Science Specialization
 at 
Coursera 
Highlights

  • Earn a certificate upon completion from Coursera
  • Each of the 10 weeks features a comprehensive lab developed specifically for this Specialization that provides hands-on experience with state-of-the-art algorithms
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Practical Data Science Specialization
 at 
Coursera 
Course details

More about this course
  • Development environments might not have the exact requirements as production environments
  • Moving data science and machine learning projects from idea to production requires state-of-the-art skills
  • Students need to architect and implement your projects for scale and operational efficiency
  • Data science is an interdisciplinary field that combines domain knowledge with mathematics, statistics, data visualization, and programming skills
  • The Practical Data Science specialization brings together these disciplines using purpose-built ML tools in the AWS cloud. It helps you develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker
  • This Specialization is designed for data-focused developers, scientists, and analysts familiar with the Python and SQL programming languages who want to learn how to build, train, and deploy scalable, end-to-end ML pipelines - both automated and human-in-the-loop - in the AWS cloud
Read more

Practical Data Science Specialization
 at 
Coursera 
Curriculum

Analyze Datasets and Train ML Models using AutoML

Build, Train, and Deploy ML Pipelines using BERT

Optimize ML Models and Deploy Human-in-the-Loop Pipelines

Practical Data Science Specialization
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    Practical Data Science Specialization
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