What you’ll learn
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One will learn about introduction to seaborn, 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.
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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
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
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
Can I download Python Data Visualization using Seaborn – Beginners course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Python Data Visualization using Seaborn – Beginners course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.