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Data Visualization Course | Data Visualization Tutorial | Data Visualization Explained | Simplilearn
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This Data Visualization full course will help you learn how to make sense of data and create interesting reports and dashboards. You will create visualizations using Tableau, Power BI, Excel, R, and Python. This video will make you understand data better and draw meaningful conclusions.
Below are the topics covered in this video:
00:00:00 Data Visualization using Tableau par1
02:16:43 Data Visualization using Tableau par2
03:12:05 Tableau Dashboard
04:32:05 What is Power BI
04:48:49 Power BI Dashboard
05:45:26 Excel Dashboard
06:55:39 GGPlot2 Tutorial
07:24:09 Matplotlib Tutorial
Dataset Links:
#DataVisualization #WhatisDataVisualization #DataVisualizationTutorial #DataVisualizationCourse #TableauDataVisualization #PowerBIDataVisualization #ExcelDataVisualization #Tableau #Excel #PowerBI #Simplilearn
What is Power BI?
When looking for the answer to “What is Power BI?”, we need to look no further than the tool’s creator, Microsoft. The company defines Power BI as “…a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights.” The BI stands for “business intelligence,” and the tool gives non-technical users all the resources they need to aggregate, visualize, analyze, and share data. The business world considers Power BI one of the best drag-and-drop tools available in the industry today.
What is Tableau?
Tableau is a leading data visualization tool used for data analysis and business intelligence. Gartner’s Magic Quadrant classified Tableau as a leader for analytics and business intelligence. This Tableau tutorial will cover a wide range of how-to topics, including how to create different charts and graphs, in addition to visualizing data through reports and dashboards in Tableau to derive meaningful insights.
What is Excel?
Excel is a powerful spreadsheet application created by Microsoft which helps you to understand and analyze business functions. This application is mainly useful for business heads for taking decisions about their business. Microsoft introduced a number of new features in Excel 2013, such as saving files in remote locations, new chart types, slicers and timeline feature to work with pivot tables, FlashFill, etc. All these features allow the user to work with data more efficiently and effectively.
➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Master Classes delivered by Purdue faculty and IBM experts
- 1:1 mock interview
- Career accelerator webinars
✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Clustering using kmeans
- Supervised Learning
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