Coursera
Coursera Logo

University of Washington - Data Science at Scale Specialization 

  • Offered byCoursera

Data Science at Scale Specialization
 at 
Coursera 
Overview

Duration

5 months

Start from

Start Now

Total fee

Free

Mode of learning

Online

Official Website

Explore Free Course External Link Icon

Credential

Certificate

Data Science at Scale Specialization
 at 
Coursera 
Highlights

  • Earn a Certificate upon completion

    Skills -Python Programming,R Programming,Mapreduce,SQL,Relational Algebra,Random Forest,Predictive Analytics,Machine Learning,Data Analysis,Data Wrangling,Statistics
Details Icon

Data Science at Scale Specialization
 at 
Coursera 
Course details

More about this course
  • Learn scalable data management, evaluate big data technologies, and design effective visualizations.
  • This Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn to visualize data and communicate results, and you'll explore legal and ethical issues that arise in working with big data. In the final Capstone Project, developed in partnership with the digital internship platform Coursolve, you'll apply your new skills to a real-world data science project.

Data Science at Scale Specialization
 at 
Coursera 
Curriculum

Data Manipulation at Scale: Systems and Algorithms

Practical Predictive Analytics: Models and Methods

Communicating Data Science Results

Data Science at Scale - Capstone Project

Data Science at Scale Specialization
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

    Other courses offered by Coursera

    – / –
    3 months
    Beginner
    – / –
    20 hours
    Beginner
    – / –
    2 months
    Beginner
    – / –
    3 months
    Beginner
    View Other 6715 CoursesRight Arrow Icon
    qna

    Data Science at Scale Specialization
     at 
    Coursera 

    Student Forum

    chatAnything you would want to ask experts?
    Write here...