Python Data Visualization using Seaborn – Beginners
Python Data Visualization using Seaborn – Beginners, Learn attractive and informative statistical graphics and data visualization in Python.
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.
