Data Science: Visualization Training

Live Online & Classroom Enterprise Training

Data Science: Visualization focuses on creating visual representations of data to communicate insights effectively. It covers charts, graphs, and tools that help explore patterns, trends, and relationships in data.

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What is Data Science: Visualization Training about?

This course focuses on the principles and practices of data visualization within the data science workflow. Learners will gain skills in transforming raw data into meaningful, interactive, and easy to-understand visuals. The course covers essential visualization libraries and tools, including Matplotlib, Seaborn, and Plotly in Python, as well as design principles for dashboards. By combining analytical thinking with visual design, learners will be able to craft compelling data stories for business, research, and decision-making.

What are the objectives of Data Science: Visualization Training ?

Understand the role of visualization in the data science process.
Apply principles of effective visual communication and storytelling.
Create static and interactive charts using Python visualization libraries.
Design dashboards for business intelligence and analytics.
Communicate complex insights to both technical and non-technical audiences

Who is Data Science: Visualization Training for?

Aspiring data scientists and analysts.
Business professionals who need to present data-driven insights.
Researchers and academics using data in their work.
Developers interested in building data-driven applications.
Students pursuing careers in data science and analytics.

What are the prerequisites for Data Science: Visualization Training?

Prerequisites:

Basic knowledge of Python programming.
Familiarity with data analysis concepts
Understanding of statistics and data types.
Experience with Excel or other data-handling tools.
Curiosity for design and storytelling with data.

Learning Path:

Introduction to visualization and data storytelling.
Fundamentals of chart design and perception.
Visualization with Matplotlib and Seaborn.
Interactive dashboards with Plotly or Power BI/Tableau.
Case studies: creating effective visualizations for real-world datasets.

Related Courses:

Data Science with Python
Essential Statistics for Data Analysis
Business Intelligence and Data Visualization with Power BI
Tableau for Data Analytics

Available Training Modes

Live Online Training

5 Days

Course Outline Expand All

Expand All

Module 1- Introduction to Data Visualization and Distributions

Introduction to Machine Learning

Introduction to Data Visualization

Introduction to Distributions

Quantiles, Percentiles, and Boxplots

Exploratory Data Analysis

Module 2- Introduction to ggplot2

Basics of ggplot2

Customizing Plots

Module 3- Summarizing with dplyr

Module 4- Gapminder

Introduction to Gapminder

Using the Gapminder Dataset

Module 5- Data Visualization Principles

Who is the instructor for this training?

The trainer for this Data Science: Visualization Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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