In this course, you will be learning to create and customize various kinds of Visualization charts using various columns or fields in a dataset-
- Ring or Donut Chart
- Pie Chart
- Line Chart
- Treemap Chart
- Gauge Chart
- Table and Matrix
- Ribbon Chart
- Scatterplot Chart
Moreover you will also learn some of the advanced functionalities that can be used to precisely customize these charts to form a powerful report-
- Drill Down
- Include and Exclude
- Custom Measure or Calculated Field
- Query Editor
- Using live web data
- Category Slicer
- Date Slicer
- Exporting a Report as PDF
- View data subset and export as CSV
Who this course is for:
- Someone looking to learn Microsoft Power BI
- Curious to learn Data Visualization and creating various data analytics charts and reports
- Interested to learn Business Intelligence tool
- Upgrading their data skills
- Data Science aspirants curious to learn Power BI
Can I download Data Visualization with Microsoft 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 Microsoft 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.
