Learn Data Science and Machine Learning on Microsoft Azure

Welcome to this course on Data Science and Machine Learning with Microsoft Azure. You would learn various lessons for Data Visualization, Data Cleaning and Data Analysis using Microsoft Power BI. It is a powerful Business Intelligence software that can be used for various domains ranging from creating Analytics dashboards and Business Intelligence reports to fetching information from a 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. If you want to modify the dataset either by creating derived values based on certain mathematical formulas or specified conditions you could perform various Data Modelling operations as well by 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 a similar way on azure cloud.

After you have learned various lessons on Power BI, you will be learning Azure Machine learning in the later sections of this course. Here you would learn to analyze an image using Computer Vision. You would also learn to perform language detection, sentiment analysis, keyphrase extraction and entity recognition using Azure Text Analytics. 

Here in this course, you will learn the following lessons on Data Science using Microsoft Power BI:

• Creating Visualization charts such as Bar charts.

• 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 paths.

• Creating a Line chart with matplotlib.

• Putting labels and creating a dashed scatterplot.

Moreover, you would also learn about Azure Machine Learning with lessons on:

• Computer Vision- Create Service.

• Computer Vision- Analyze images, text in images and generate thumbnails.

• Text Analytics- Create Service.

• Text Analytics- Language Detection.

• Text Analytics- Sentiment Analysis.

• Text Analytics- Key Phrase Extraction.

• Text Analytics- Entity Recognition.