- Programmers, Developers, Technical Leads, Architects
- Developers aspiring to be a ‘Machine Learning Engineer'
- Analytics Managers who are leading a team of analysts
- Business Analysts who want to understand Machine
- Learning (ML) Techniques
- Information Architects who want to gain expertise in
- Predictive Analytics
- Professionals who want to design automatic predictive models
- Programmatically download and analyze data
- Learn techniques to deal with different types of data – ordinal, categorical, encoding
- Learn data visualization
- Using I python notebooks, master the art of presenting step by step data analysis
- Gain insight into the 'Roles' played by a Machine Learning Engineer
- Describe Machine Learning
- Work with real-time data
- Learn tools and techniques for predictive modeling
- Discuss Machine Learning algorithms and their implementation
- Validate Machine Learning algorithms
- Perform Text Mining and Sentimental analysis
- Explain Time Series and its related concepts
- Gain expertise to handle business in future, living the present
1. Design Patterns
Learning Objective:This module will introduce you the significance of design patterns.
- What are design patterns
- How to apply design patterns
- Analyzing design atterens
- Analyzing,Dissecting and choosing design patterns
2. Accessibilty
Learning Objective:In this training course module, you will get a brief idea on various ways to establish Accessibilty.
- Visual patterns for accessibilty
- Tools to make design accessible
- Visual patterns for accessibilty
3. Mobile Design
Learning Objective:In this course module, you will understand the importance of Visual Analytics and explore the various charts, features and techniques used for Visualization.
- Introduction to Mobile Design
- Mobile design best practices
- Visual style+Exploration
4. Motion
Learning Objective:In this Tableau online course module, you will understand basic calculations such as Numeric, String Manipulation, Date Function, Logical and Aggregate. You will also get introduced to Table Calculations and Level Of Detail (LOD) expressions.
- Types of Calculations
- Built-in Functions (Number, String, Date, Logical and Aggregate)
- Operators and Syntax Conventions
- Table Calculations
- Level Of Detail (LOD) Calculations
- Using R within Tableau for Calculations
5. Microinteractions
Learning Objective: In this Tableau online training module, you will deep dive into Visual Analytics in a more granular manner. It covers various advanced techniques for analysing data that includes Forecasting, Trend Lines, Reference Lines, Clustering, and Parameterized concepts.
- What is a microinteraction
- Creating our own microinteraction
- Creating our own microinteraction part2
- Figmotion
6. Design Systems
Learning Objective:In this course module, you will deep dive into advanced analytical scenarios, using Level Of Detail expressions.
- Components Cards
- Vertical Cards
- Recipes Search
- Recipes Order List
7. Final Compositions
Learning Objective: In this training module, you will gain an understanding of Geographic Visualizations in Tableau.
- Using our design system
- Final prototypes
8. Web Portfolio
Learning Objective: In this Tableau course online module, you will learn to plot various advanced charts in Tableau Desktop.
- Where to host your web portfolio
- How to place and export designs
9. From Figma to Website_Building out Website
Learning Objective: In this course, you will learn to build Dashboards and Stories within Tableau.
- Introduction to Figma
- The Dashboard Interface
- Dashboard Objects
- Building a Dashboard
- HTML
- CSS
- Bootstrap templates, and building your startup landing page
- CSS Grid+Css layout