How do I become a data visualization specialist?

It takes at least four years to become a data visualization engineer. If you want to make data visualization your livelihood, you will need at least a bachelor's degree from a university. For some companies, applicants will sometimes also require a master's degree.

Is Data Visualization difficult?

Data visualizations are not as easy to create as they look. There is a lot of work and effort that goes into it. There needs to be the right balance between all the visual elements. If you do too little or too much, your visualization will never create an impact.

Should I enroll for this Data Visualization Course?

Data visualization helps to tell stories by curating data into a form easier to understand, highlighting the trends and outliers. A good visualization tells a story, removing the noise from data and highlighting the useful information.

Is Data Visualization a good skill?

Because today, data visualization is becoming an absolute must-learn skill. As all organizations become increasingly data-driven, the ability to work with data isn't a bonus, it's essential.

What are the two uses of Data Visualization?

Data visualization is a key component in being able to gain insight into your data. It helps make big and small data easier for humans to understand. It also makes it easier to detect patterns, trends, and outliers in groups of data.

Why Data Visualization is important for any career?

Data visualization allows business users to gain insight into their vast amounts of data. It benefits them to recognize new patterns and errors in the data. Making sense of these patterns helps the users pay attention to areas that indicate red flags or progress.

Data Visualization Course Certification- Henry Harvin®

Module 1: Introduction to Data Visualization with Tableau
In this module, you will gain fundamental knowledge of Data Visualization, its history, benefits, introduction to Tableau, & more.
- What is Business Intelligence (BI)?
- Data Visualization
- Benefits of visualizing raw data
- History of Data Visualization
- Introduction to Tableau
- Advantages & disadvantages of Tableau
- Download & install Tableau Public
- Load data from excel
- User interface of Tableau Public
- Quiz Module 1
Module 2: Connecting to Various Data Sources and Preparing Data
In this module, you will learn the concepts of data blending, data interpreter, pivot, split, etc.
- Connecting to Tableau Server
- Types of connections
- Connecting to different data source
- Preparing data for analysis
- Joins
- Relationships
- Union
- Data blending
- Aggregation in Tableau
- Pivot
- Data interpreter
- Split
- Creating extracts with multiple tables
- Quiz Module 2
Module 3: Working with Metadata
In this module, learn about data types, dimension vs measures, default properties of fields, etc
- Data Types
- Dimensions vs Measures
- Discrete vs Continuous
- Application of discrete & continuous fields
- Rename hide unhide and sort columns
- Default properties of fields
- Create Aliases
- Quiz Module 3
Module 4: Spotlight One
In this module, understand the core concept of spotlight one.
- Spotlight One
Module 5: Filters in Tableau
In this module you will learn about different types of filters used in tableau such as date filter, visual filter, dimension filter, etc
- Dimension filter
- Measure filter
- Date filter
- Visual filter
- Interactive filter
- Data source filter
- Context filter
- Quiz Module 5
Module 6: Structuring Data in Tableau
This module will teach you about how to structure data in tableau working with sort, group, sets, bins, etc
- Sort
- Group
- Sets
- Bins & Histograms
- Hierarchies
- Quiz Module 6
Module 7: Creating Charts & Graphs
In this module, learn topics such as highlight tables, line chart, bubble chart, word cloud, tree map, creating maps with tableau, etc
- Text table & cross table
- Highlight tables
- Heat maps
- Bar chart
- Stacked bar chart
- Line chart
- Sparkline
- Scatter plot
- Tree map
- Bubble chart
- Word cloud
- Combined-axis chart
- Dual-axis charts
- Funnel chart
- Importance of maps
- Creating maps with tableau
- How to pan zoom & select in tableau
- Using maps to filter data
- Map layering
- Creating custom territories
- Modifying locations within tableau
- Geocoding
- Using background image
- Tableau map search
- Quiz Module 7
Module 8: Spotlight Two
In this module, understand the core concept of spotlight two.
- Spotlight Two
Module 9: Calculations in Tableau
In module, learn different types of calculations, charts, LOD, & more
- Types of calculations
- Ad-hoc calculations
- Table calculations
- Waterfall chart
- Pareto chart
- Built in functions
- Introduction to Level of Detail (LOD)
- Fixed LOD
- Include LOD
- Exclude LOD
- Nested LOD expressions
- Aggregation and replication with LOD expressions
- Helper Functions
- KPI table
- Quiz Module 9
Module 10: Advanced Visual Analytics
In this module, learn about parameters, tooltips, charts selection, bands, clustering, & more.
- Parameters
- Creating Parameters
- Parameters with filters
- Parameters in calculations
- Column selection parameter
- Chart selection parameters
- Tooltips
- Tooltips visualizations
- Reference & trend lines
- Reference bands
- Distribution bands
- Bullet chart
- Box plot
- Forecasting
- Clustering
- Reference distribution
- Statistical summary cards
- Instant analysis
- Quiz Module 10
Module 11: Dashboards & Stories
In this module learn about concepts of dashboard, actions in dashboards, creating & updating story points, etc
- Dashboard
- Working with layout
- Objects in dashboard
- Dashboard layouts & formatting
- Building interactive dashboards
- Actions in dashboards
- Best practices for dashboard creation
- Dashboard for mobile
- Introduction to storyboard
- Creating and updating story points
- Publishing and sharing options
- Quiz Module 11
Module 12: Spotlight Three
In this module, understand the core concept of spotlight three.
- Spotlight Three
- Quiz Module 12
Module 13: Complimentary Module 1: Soft Skills Development
- Business Communication
- Preparation for the Interview
- Presentation Skills
Module 14: Complimentary Module 2: Resume Writing
- Resume Writing