Code Free Data Science

Go to Course: https://www.coursera.org/learn/code-free-data-science

Introduction

# Course Review: Code Free Data Science In the rapidly evolving field of data science, many aspiring professionals and enthusiasts often find themselves daunted by the need for programming skills. However, the "Code Free Data Science" course offered on Coursera provides a refreshing alternative, making foundational data science concepts accessible to everyone, regardless of their technical background. ## Course Overview The "Code Free Data Science" class is expertly crafted for learners seeking to either gain new insights into data science or sharpen their existing knowledge. By focusing on practical approaches rather than coding, this course empowers participants to understand and apply key concepts, particularly in predictive analytics. One of the standout features of the course is its use of the KNIME Analytics Platform. This intuitive software enables learners to visualize and manipulate data without any prior programming experience. ## Syllabus Breakdown ### 1. Welcome to the World of Big Data The first module sets the stage by discussing the hype surrounding Big Data. This module offers a comprehensive introduction to the technologies, opportunities, and challenges that define the Big Data landscape. By delving into Big Data analytics and various methodologies, learners gain context for the role of data science in today's data-driven world. ### 2. Introduction to KNIME Analytics Platform In this module, learners are guided through the process of downloading, installing, and setting up the KNIME analytics platform. The focus on hands-on experience is a major advantage of this course, as students can seamlessly transition from theory to practice. Participants will develop a familiarity with KNIME’s workflow editor, which is essential for building and executing data analysis processes. Ideas come to life as learners create their first basic workflow, discovering a range of analyses that KNIME can facilitate. ### 3. Data Manipulation and Visualization While the specifics of this module are not outlined in your provided details, data manipulation and visualization are pivotal aspects of data science. Learners can expect to gain valuable skills in filtering, cleaning, and transforming data to prepare it for analysis. The visualization of data is equally crucial, as it allows learners to effectively convey insights and findings in a clear and understandable manner. ### 4. Machine Learning Machine learning may seem intimidating to those without a programming background, but this course demystifies the concepts. Using KNIME, learners will explore various machine learning methods to discover patterns and relationships within datasets. By applying these methods, participants will learn to predict future trends and behaviors, an invaluable skill set in an array of industries. ## Recommendation I highly recommend the "Code Free Data Science" course for anyone interested in entering the field of data science or enhancing their analytical skills without the need for programming knowledge. The course's structured approach provides a solid foundational understanding of data science principles while allowing for immediate practical application through the KNIME platform. The absence of programming requirements is a significant advantage for non-technical learners who may feel overwhelmed by traditional data science curricula. The course fosters a welcoming environment for all, making it particularly suitable for business professionals, analysts, and anyone interested in making data-driven decisions. Whether you are looking to pivot your career into the growing field of data science or simply want to expand your analytical capabilities, enrolling in the "Code Free Data Science" course on Coursera will be a worthwhile investment in your professional development. Dive into the world of data science with confidence and discover how you can leverage the power of data to effect change in your organization or personal projects!

Syllabus

Welcome to the world of Big Data

Welcome to the first module of the Code Free Data Science course. This first module will provide insight into Big Data Hype, its technologies opportunities and challenges. We will take a deeper look into the Big Data Analytics and methodology associated with Data Science approaches.

This module will introduce the KNIME analytics platform. Learners will be guided to download, install and setup KNIME. We will explore and become familiar with the KNIME workflow editor and its components. In this module we will create the very first basic workflow, and explore the kinds of analysis KNIME empowers users to perform.