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Code Free Data Science
  • Level Foundation
  • المدة 14 ساعات hours
  • الطبع بواسطة University of California San Diego
  • Offered by

عن

The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements. Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data. Predicting future trends and behaviors allows for proactive, data-driven decisions. During the class learners will acquire new skills to apply predictive algorithms to real data, evaluate, validate and interpret the results without any pre requisites for any kind of programming. Participants will gain the essential skills to design, build, verify and test predictive models. You Will Learn • How to design Data Science workflows without any programming involved • Essential Data Science skills to design, build, test and evaluate predictive models • Data Manipulation, preparation and Classification and clustering methods • Ways to apply Data Science algorithms to real data and evaluate and interpret the results

الوحدات

Data Modelling in the Age of Big Data

    • 3 Videos
    • 1 Readings
    • 1 Discussion
Show info about module content

1 Discussions

  • What does Big Data mean to you?

3 Videos

  • Welcome to the Code Free Data Science Class
  • Welcome to Module 1
  • First Joke

1 Readings

  • Big Data Impact and Challanges

Intro to Big Data

    • 1 Videos
    • 1 Readings
    • 1 Discussion
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1 Discussions

  • Big Data Hype

1 Videos

  • Big Data Characteristics and Applications

1 Readings

  • Big Data Analytics: Applications, Prospects and Challenges

Big Data Analytics

    • 1 Videos
    • 1 Readings
    • 1 Discussion
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1 Discussions

  • Big Data Impact on Our Daily Life

1 Videos

  • Big Data Applications

1 Readings

  • 10 signs of Data Science Maturity

Big Data Analytics

    • 1 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Big Data Quiz

1 Videos

  • Big Data Analytics

1 Readings

  • NIST Big Data interoperability Framework (NBDIF)

Introduction to Data Science

    • 1 Videos
    • 1 Assignment
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1 Assignment

  • Module 1 quiz

1 Videos

  • Introduction to Data Mining

Introduction to KNIME Analytics Platform

    • 3 Videos
    • 1 Readings
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3 Videos

  • Welcome to Module 2
  • Module 2 Joke
  • Introduction to KNIME Analytics Platform

1 Readings

  • KNIME Analytics Platform Web site link

How to Install KNIME Analytics Platform

    • 1 Videos
    • 3 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Install KNIME Quiz

1 Videos

  • Install KNIME Analytics Platform

3 Readings

  • Download KNIME
  • KNIME Installation Guide
  • KNIME getting Started

Exploring KNIME Workspace

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Exploring KNIME

1 Videos

  • Exploring KNIME Workspace

1 Readings

  • KNIME workbench guide

Creating Data Analytics Workflow

    • 2 Videos
    • 2 Readings
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2 Videos

  • Creating new workflows in KNIME
  • My First KNIME Workflow Exercise

2 Readings

  • Example Workflows
  • KNIME Whitepaper

Node Operations in KNIME

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Node Operations Quiz

1 Videos

  • Node Operations in KNIME

1 Readings

  • adult.csv data set

Data Types and Formats in KNIME

    • 1 Videos
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1 Videos

  • Data Types and Formats in KNIME

Filtering Data in KNIME

    • 1 Videos
    • 3 Readings
    • 2 Assignment
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2 Assignment

  • Filtering Data Quiz
  • Filtering Workflow Assignment

1 Videos

  • Creating Analytics Workflow in KNIME

3 Readings

  • KNIME Book Chapter 1
  • Autos Data Set
  • Iris.csv data

Introduction to Module 3

    • 1 Videos
Show info about module content

1 Videos

  • Intro to Module 3

Data Manipulation

    • 2 Videos
    • 1 Assignment
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1 Assignment

  • Rule Engine Quiz

2 Videos

  • Intro to Data Manipulation in KNIME
  • Rule Engine

String Manipulation

    • 4 Videos
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4 Videos

  • String Manipulation
  • String Replacer
  • String Splitting and Column Combining
  • Column Resorter

Type Conversions

    • 1 Videos
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1 Videos

  • Type Conversions

Database Operations

    • 1 Videos
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1 Videos

  • Database Operations

Data Visualization in KNIME

    • 2 Videos
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2 Videos

  • Scatterplot
  • Color Manager in KNIME

Line Plot

    • 1 Videos
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1 Videos

  • Line Plot

Parallel Coordinate Plot

    • 1 Videos
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1 Videos

  • Parallel Coordinate Plot

Bar Charts

    • 1 Videos
    • 1 Assignment
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1 Assignment

  • Module 3 Assignment

1 Videos

  • Bar Charts

Introduction to Data Science

    • 3 Videos
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3 Videos

  • Welcome to Module 4
  • Module 4 Joke
  • Introduction to Data Science

Introduction to Decision Trees

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Decision Trees Quiz

1 Videos

  • Introduction to Decision Tree Induction

1 Readings

  • Decision Tree Reading

Decision Tree Model in KNIME

    • 2 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Decision Tree Assignment

2 Videos

  • Building Decision Tree Model in KNIME
  • Decision Tree Workflow

1 Readings

  • Decision Trees Examples in KNIME

Introduction to Clustering

    • 2 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Clustering Assignment

2 Videos

  • Intro to K-means Clustering
  • K-means Clustering In KNIME

1 Readings

  • Book Chapter on Clustering

Auto Summary

Unlock the world of data science without writing a single line of code with the "Code Free Data Science" course. Perfect for beginners and those looking to expand their expertise, this course delves into the essentials of data science and predictive analytics using the KNIME Analytics Platform. Guided by expert instructors from Coursera, you’ll explore a variety of machine learning methods to uncover patterns and trends in data, helping you make data-driven decisions. This comprehensive program covers designing data science workflows, manipulating data, and mastering classification and clustering techniques. By the end of the course, you'll be able to design, build, verify, and test predictive models with confidence. Spanning over 840 minutes of engaging content, the course offers flexible subscription options, including Starter and Professional plans, catering to your learning needs. Whether you're a novice or looking to solidify your foundational knowledge, this code-free journey into data science is your gateway to mastering predictive analytics and making impactful decisions based on data insights.

Natasha Balac, Ph.D.
Instructor

Natasha Balac, Ph.D.