Data Science and Machine Learning with Microsoft Azure
Data Science and Machine Learning with Microsoft Azure. Learn various lessons for Data Visualization, Data Cleaning and Data Analysis using Microsoft Power BI. Power BI | Power Query | Azure Machine Learning | Computer Vision | Text Analytics | Python charts
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It is a powerful Business Intelligence software that can be used for various domains ranging from creating Analytics dashboard and Business Intelligence reports to fetching information from wide range of data sources. You could also perform various types of data cleaning operations using Power Query. Moreover, if you want to create some advanced types of Analytics charts you can write a few lines of code in python using frameworks such as Matplotlib and Seaborn. And if you want to modify the dataset either by creating derived values based on certain mathematical formula or specified conditions you could perform various Data Modelling operations as well by using creating Calculated fields and by using Power Query editor. In this course you would learn various such concepts with completely practical examples on Power BI Desktop, that can be applied in the similar way on azure cloud.
After you have learned various lessons on Power BI, you would be learning Azure Machine learning in the later sections of this course. Here you would learn to analyze an image using Computer Vision. And you would also learn to perform language detection, sentiment analysis, key phrase extraction and entity recognition using Azure Text Analytics.
Here in this course you will learn following lessons on Data Science using Microsoft Power BI:
Creating Visualization charts such as Bar chart
Pie chart
Donut or Ring chart
Treemap chart
Interactive charts and Drill down
Table and Matrix
Date and other Slicers
Creating a calculated field
Gauge chart
Map chart and modes
Scatterplot and Animation Playback
Basics of Power Query
Row deletion and Column Split
Replacing Column Values
Creating Advanced reports using Python
Installing Python packages and defining path
Creating a Line chart with matplotlib
Putting labels and creating dashed scatterplot
Moreover you would also learn about Azure Machine Learning with lessons on:
Computer Vision- Create Service
Computer Vision- Analyze image , text in image and generate thumbnail
Text Analytics- Create Service
Text Analytics- Language Detection
Text Analytics- Sentiment Analysis
Text Analytics- Key Phrase Extraction
Text Analytics- Entity Recognition
What you’ll learn
Create visualization charts and business intelligence reports using Power BI
Perform data cleaning operations using Power Query
Create advanced charts and analysis using Python in Power BI
Build machine learning instances on Azure for Computer Vision
Perform Text Analytics on Microsoft Azure cloud
Are there any course requirements or prerequisites?
No programming experience is required for learning Power BI and you would learn most of the concepts in this course.
If you have basic python programming skills, it would be useful for creating advanced BI reports in Power BI and can be used with Computer Vision
But you should have working knowledge of Python programming for writing programs for Computer vision and Text Analytics
Who this course is for:
Anyone who is curious to learn Data Visualization and Data Science with Microsoft Power BI
And people interested to learn Computer vision and Text Analytics with Microsoft Azure.
#DataScience #MachineLearning #MicrosoftAzure
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