Visualization in Data Science & AI

What you'll learn
Visualization For Data Science
Visualization From Basic To Advance
Not Just Theory But Hands On Tutorial
Learn To Choose and Design Appropriate Plot For Your Purpose
Power BI From Basic To Advance
Industry Relevant Skills
Visualization In Python From Basic To Advance
Learn To Create Compelling Graphs That Do Not Lie
Requirements
No programming experience needed
No previous knowledge of data Visualization is required
Designed to learn from scratch
Experience ones can brush up on their skills
Description
Data visualization is an essential part of the data science project lifecycle. It is the process of placing data into a visual context like a map or graph to make it simpler for the human mind to understand and draw conclusions from it. Data visualization's major objective is to make it simpler to spot patterns, trends, and outliers in big data sets.
By the end of this course, learners are provided a high-level overview of data analysis and visualization tools and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. It begins with common hurdles that obstruct the adoption of a data-driven culture before introducing data analysis tools (R software, Minitab, MATLAB, and Python). A deeper examination is spent on statistical process control (SPC), which is a method for studying variation over time. The course also addresses the do's and don'ts of presenting data visually, visualization software (Tableau, Excel, Power BI), and creating a data story.
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