Data Engineer/Data Visualisation - Tableau| PowerBI | Python
- Offered byUDEMY
Data Engineer/Data Visualisation - Tableau| PowerBI | Python at UDEMY Overview
Duration | 5 hours |
Total fee | ₹1,999 |
Mode of learning | Online |
Credential | Certificate |
Data Engineer/Data Visualisation - Tableau| PowerBI | Python at UDEMY Highlights
- Certificate of completion
- 5.5 hours on-demand video
- Full lifetime access
- Access on mobile and TV
- 30-Day Money-Back Guarantee
Data Engineer/Data Visualisation - Tableau| PowerBI | Python at UDEMY Course details
- For beginner Data Engineers
- For beginner Data Visualization Engineers
- Connect to data source using Tableau
- Clean Data with Tableau
- Create Visualizations for your data
- Connect to data source using Power BI
- Clean and Transform Data
- Combine Data Sources with Power BI
- Creating Data Visualizations
- Publish reports to Power BI Service
- Setup Jupyter Notebook Server
- Explore and Manipulate Pandas DataFrame
- Perform Data Cleaning with Python
- Create Data Visualizations with Python
- Data visualization is the graphical representation of information and data
- By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data
- learner will learn how to navigate Tableau?s interface and connect and present data using easy-to-understand visualizations
Data Engineer/Data Visualisation - Tableau| PowerBI | Python at UDEMY Curriculum
Data Engineering and Visualization with Tableau
Introduction
What is Tableau
Tableau Public Desktop
Tableau Public Overview: Part 1
Tableau Public Overview: Part 2
Tableau Online
Tableau Data Sources
Tableau File Types
Connecting to a data source
Join related data sources
Join data sources with inconsistent field
Data Cleaning
Exploring Tableau interface
Reorder Visualization
Change Summary
Split text into multiple columns
Presenting data using stories
Add duplicate and rename worksheet
Reorder and delete worksheet
Changing tab color
Data Engineering and Visualization with Power BI
Office365 setup
What is Power BI Desktop
Installing Power BI Desktop
Power BI Desktop Tour
Power BI Overview: Part 1
Power BI Overview: Part 2
Power BI Overview: Part 3
Components of Power BI
Building blocks of Power BI
Exploring Power BI Interface
Power BI Apps
Connecting to data
Clean and transform data: Part 1
Clean and transform data: Part 2
Combining Data Sources
Creating Visualization: Part 1
Creating Visualization: Part 2
Publishing Reports to Power BI Service
Data Engineering and Visualization with Python
What is Python
What is Jupyter Notebook
Installing Jupyter Notebook
Jupyter Notebook Commands
Jupyter Notebook Components
Jupyter Notebook Dashboard
Jupyter Notebook Interface
Creating a new Jupyter Notebook
Using Kaggle Datasets
Tablular data
Exploring Pandas DataFrame
Analyse and manipulate Pandas dataframe
What is data cleaning
Basic data cleaning
Data visualization
Visualizing qualitative data
Visualizing quantitative data
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