Code Free Data Science Course from Coursera

The Code Free Data Science class is tailored for learners wanting to gain or enhance their knowledge in Data Science. This course offers training in effective predictive analytic approaches using the KNIME Analytics Platform, without any programming requirements. It aims to equip participants with the skills to discover patterns, predict trends, and make data-driven decisions.
Learning Objectives
Participants in this course will:

  • Learn to design Data Science workflows without programming.
  • Acquire essential skills to design, build, test, and evaluate predictive models.
  • Gain knowledge in data manipulation, preparation, and classification, as well as clustering methods.
  • Apply Data Science algorithms to real data, and evaluate and interpret the results.

Skills you will gain

Skills You Will Gain from This Course

  1. Data Science Workflow Design
    • Ability to create and manage Data Science workflows without any coding.
    • Proficiency in using the KNIME Analytics Platform for workflow automation and analysis.
  2. Predictive Model Development
    • Skills to design, build, test, and validate predictive models.
    • Understanding of different predictive algorithms and how to apply them.
  3. Data Manipulation and Preparation
    • Techniques for cleaning, transforming, and preparing data for analysis.
    • Proficiency in handling data of various types and formats.
  4. Classification and Clustering Methods
    • Knowledge of classification techniques to categorize data.
    • Ability to use clustering methods to group data into meaningful segments.
  5. Algorithm Application and Evaluation
    • Practical experience in applying Data Science algorithms to real datasets.
    • Skills to evaluate, validate, and interpret the results of Data Science models.
  6. Data-Driven Decision Making
    • Capability to derive actionable insights from data.
    • Enhanced decision-making skills based on predictive analytics.
  7. Model Verification and Testing
    • Techniques to verify the accuracy and reliability of predictive models.
    • Understanding of model testing methods to ensure robustness and performance.
  8. Interpretation of Results
    • Ability to interpret and communicate the outcomes of Data Science analyses effectively.
    • Skills to present findings in a clear and actionable manner.

What you will learn

What You’ll Learn

  1. Design Data Science Workflows Without Programming
    • Understand how to create effective Data Science workflows using the KNIME Analytics Platform, a code-free environment.
  2. Essential Data Science Skills
    • Learn to design, build, test, and evaluate predictive models.
    • Develop a strong foundation in essential Data Science techniques.
  3. Data Manipulation, Preparation, Classification, and Clustering
    • Master various methods for handling and preparing data for analysis.
    • Learn classification and clustering techniques to categorize and group data effectively.
  4. Application and Evaluation of Data Science Algorithms
    • Apply predictive algorithms to real-world data.
    • Learn to evaluate and interpret the results of your Data Science models for actionable insights