In this course, you will be learning following concepts and visualization charts using python libraries such as pandas, matplotlib and seaborn-
- Installing python packages and defining path
- Creating a Line chart with matplotlib
- Putting labels and creating dashed scatterplot
- Violin chart with seaborn
- More on Violin chart
- Stripplot
- Boxplot
- Lmplot or align plot
Moreover, you will also learn to create other visualization charts in power bi and other concepts such as creating slicer filters and map chart-
- Ribbon Chart
- Table and Matrix
- Drill Down Table and Matrix
- Donut Ring chart
- Simple Map and modes
- Slicer- Basics
- Slicers- Date Slicer
Who this course is for:
- Anyone who is curious to learn Data Science and Data Visualization
- Students, Developers and professionals interested in learning Power BI and python
- Interested to create custom charts using matplotlib and seaborn in python
Can I download Data Visualization with Python and Power BI 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 Data Visualization with Python and Power BI 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
Note: 100% OFF Udemy coupon codes are valid for maximum 3 days only. Look for "ENROLL NOW" button at the end of the post.
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
