Build the confidence to tackle any data project with zero coding. This course introduces modern no-code platforms, guiding learners in acquiring, cleaning, and visualizing data from diverse sources. Master the principles of robust data science practice, from data integrity checks to exploratory analysis. By the end, learners will know how to design models mapped directly to solving pressing business problems, all within easy-to-use tools that bridge technical and non-technical roles. Each module builds job-ready skills for regional and global data needs, with applications relevant to India, the USA, and Spanish-speaking markets.
Data Science Foundations with No-Code Tools
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Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
3 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Learn to acquire, clean, and visualize business data using intuitive no-code tools—turning raw information into clear, actionable insights fast.
Skills you'll gain
- Data Integration
- Data Capture
- Data Governance
- Data Processing
- Data Storytelling
- Exploratory Data Analysis
- Dashboard
- Machine Learning
- Data Validation
- Data Cleansing
- Data Modeling
- Business Analysis
- Data-Driven Decision-Making
- Predictive Modeling
- Data Collection
- Data Transformation
- Data Integrity
- Data Analysis
- Data Ethics
- Data Science
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
See how employees at top companies are mastering in-demand skills
There are 3 modules in this course
Welcome to Module 1: Data Acquisition and Preparation. In today’s fast-paced business world, confidently acquiring, cleaning, and preparing data is the foundation for all impactful analytics and machine learning. This module empowers you to pull data from a diverse range of sources with ease, automate error-prone cleaning routines, and ensure your data practices comply with local privacy laws—without writing a single line of code. You’ll build market-relevant skills for overcoming real workplace challenges, giving you the confidence and capability to drive results from day one in any data-driven environment.
What's included
9 videos1 reading3 assignments2 plugins
Welcome to Module 2: Exploratory Data Analysis & Visualization Techniques. In this module, you’ll master the art of transforming raw data into powerful, actionable insights using no-code platforms. You’ll discover how to quickly create interactive dashboards, identify key patterns and outliers, and deliver automated reports that drive business decisions. Learn how to present data stories that anyone in your organization can understand—empowering you to influence stakeholders and demonstrate value, regardless of technical background. These essential skills will position you as a trusted data communicator in today’s data-driven world.
What's included
7 videos1 reading3 assignments
Welcome to Module 3: Model Design Fundamentals for Business Applications. This module gives you the tools to confidently turn business challenges into practical machine learning solutions—even if you have limited technical experience. You’ll learn how to select and configure no-code models tailored to real-world problems in your sector, leverage automation to highlight the most valuable predictors, and ensure your inputs are ready for robust analysis. By mastering these steps, you’ll boost efficiency and transparency across analytics projects and lay a solid foundation for effective model training, testing, and deployment in any industry setting.
What's included
8 videos2 readings2 assignments1 plugin
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