Low-Code Data Science Platforms Workshop by Tonex
The Low-Code Data Science Platforms workshop by Tonex introduces participants to tools like Power BI and KNIME, enabling data-driven decision-making without extensive coding knowledge. This hands-on training focuses on creating efficient workflows, visualizing data, and building analytical models using low-code platforms. Designed for professionals of all levels, the workshop ensures participants can apply these tools to solve real-world problems effectively.
Learning Objectives:
- Understand the fundamentals of low-code data science platforms.
- Learn to use Power BI and KNIME for data analysis.
- Explore data visualization techniques and tools.
- Create automated workflows using low-code approaches.
- Build predictive models with minimal coding.
- Apply tools to real-world business and technical challenges.
Audience:
- Data analysts and business intelligence professionals
- Project managers and decision-makers
- IT professionals and developers
- Educators and researchers
- Entrepreneurs and innovators
- Anyone seeking to simplify data science processes
Course Modules:
Module 1: Introduction to Low-Code Data Science
- Overview of low-code platforms
- Benefits of low-code tools in data science
- Introduction to Power BI and KNIME
- Comparison with traditional data science methods
- Key use cases for low-code platforms
- Trends shaping low-code data science
Module 2: Data Preparation and Integration
- Data collection and cleaning with KNIME
- Connecting data sources in Power BI
- Creating workflows for data integration
- Handling missing data and inconsistencies
- Transforming and modeling datasets
- Preparing data for visualization and analysis
Module 3: Data Visualization with Power BI
- Designing interactive dashboards
- Creating charts, graphs, and maps
- Using slicers and filters for insights
- Sharing reports and dashboards securely
- Best practices for storytelling with data
- Customizing visuals and layouts
Module 4: Workflow Automation with KNIME
- Building end-to-end workflows
- Automating repetitive data tasks
- Utilizing KNIME’s nodes and extensions
- Integrating KNIME with external tools
- Scheduling and deploying workflows
- Monitoring and optimizing performance
Module 5: Predictive Modeling with Low-Code Tools
- Introduction to machine learning in KNIME
- Creating models without coding
- Training and validating predictive models
- Integrating models with Power BI insights
- Applying models to solve business problems
- Evaluating model accuracy and performance
Module 6: Real-World Applications and Case Studies
- Industry use cases of low-code platforms
- Success stories of Power BI and KNIME users
- Solving business challenges with automation
- Customizing tools for specific industries
- Emerging trends in low-code data science
- Preparing for future advancements
Simplify data science with low-code tools! Enroll in the Low-Code Data Science Platforms: Mastering Tools like Power BI and KNIME workshop by Tonex and gain practical skills for efficient data analysis and automation. Contact Tonex to secure your spot today!