Program Overview
This course is all about data visualization, the art and science of turning data into readable graphics. We will explore how to design and create data visualizations based on data available and tasks to be achieved. This process includes data modeling, data processing (such as aggregation and filtering), mapping data attributes to graphical attributes, and strategic visual encoding based on known properties of visual perception as well as the task(s) at hand. Employees will also learn to evaluate the effectiveness of visualization designs, and think critically about each design decision, such as choice of color and choice of visual encoding. Employees will create their own data visualizations and learn to use Open Source data visualization tools. Employees will also read papers from the current and past visualization literature and create video presentations of their findings.
Program Content
Introduction to Data Visualization:
- What is Data Visualization?
- Data Visualization in market
- Tools for Data Visualization
- Data Visualization Techniques
Python:
- Statistics
- Python Programming
- Different Data Types
- Operators
- Data Structures
- Control Flow
- Functions
- Scripting
- NumPy
- Pandas
- Working with Data in Python
Data Visualization:
- Introduction to Data Visualization
- Basic Visualization
- Matplotlib and Seaborn
- Different Data Charts
- Specialized Visualization
- Word Cloud
- Heat Maps
- Choropleth Maps
- Intensity Maps
Program Benefits
Upon completion of this course, participants will be able to:
- Design and create data visualizations.
- Conduct exploratory data analysis using visualization.
- Craft visual presentations of data for effective communication.
- Use knowledge of perception and cognition to evaluate visualization design alternatives.
- Design and evaluate color palettes for visualization based on principles of perception.
- Apply data transformations such as aggregation and filtering for visualization.
- Identify opportunities for application of data visualization in various domains.
- Critique existing visualizations based on data visualization theory and principles.
Who Should Attend
- Data Analysis
- Consultants
- Marketing Managers
- Operation Managers
- Project Managers
- Financial Managers
Course Duration
30 Hours
Registration Deadline
Three days before the course date.
Registration and Payment
- Open www.thetraining-hub.com/ Training Facilities/Course Registration and fill your registration form.
- Course fees include material, lunch, 2 coffee breaks and certificate.
- Payment by cheque in The Training HUB’s name, cash to our address or by bank transfer.
- Your registration is confirmed only after course payment
- Payment is non-refundable; however, participant can be substituted or can attend next confirmed round of the same course or another course.
For More Information
Phone: 02 22907369 / 22909369
Mobile: 01280720167- 01280653407
Email: info@thetraining-hub.com
