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Learn attractive and informative statistical graphics and data visualization in Python

Description

As training goes ahead, individuals will start realizing the importance and value of seaborn training with diverse skills and concepts that are going to be taught under this training program. The curriculum of the training program is developed in such a way that it helps in getting all the industry requirements and also takes squares of individuals’ requirements who are investing their time and efforts in learning something new and interesting. The core skills that are going to be covered under this training program are as follows:

 

Introduction of Seaborn

 

Visualizing Statistical Relationships

 

Scatter Plot

 

Line Plots

 

Plotting with Categorical Data

 

Showing Multiple Relationships with Facets

 

Categorical Scatterplots

 

Distributions of Observations within Categories

 

Statistical Estimation within Categories

 

Countplot

 

Pointplot

 

Boxenplot

 

Violenplot

 

Barplot

 

Swarmplot

 

Stripplot

 

Catplot

 

One will learn about introduction to seaborn, o review of the training, different types of plots, distribution plot, scatterplot and heat map, case studies of scatter plot, boxplot, bank problem, case study on swarm plot, etc.

 

Other skills that are going to be covered under this training program is visualizing statistical relationships which include scatterplots, line plots, plotting with categorical data, showing multiple relationships with facets, categorical scatter plots, distribution of observations with categories, statistical estimation with categories, count plot, point plot, boxplot, bar plot, use of reference files, etc.

 

Who this course is for:

Data scientists, data engineers, analysts, consultants, software developers, software engineers, testers.

The target audience becomes anybody who is interested in learning this Python Seaborn Tutorial and follows the above-mentioned pre-requisites

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