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Learn Data Science and Machine Learning on Microsoft Azure

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Pranjal Srivastava,Harshit Srivastava

1:58:31

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  • 1. Introduction.mp4
    01:49
  • 1. Bar chart.mp4
    05:05
  • 2. Line chart.mp4
    04:28
  • 3. Pie chart.mp4
    07:00
  • 4. Ring chart.mp4
    05:32
  • 1. Using Treemap to create Inter-Related charts in a dashboard.mp4
    04:48
  • 2. Drill Down Table and Matrix.mp4
    03:39
  • 1. Slicer- Basics.mp4
    03:29
  • 2. Slicers- Date Slicer.mp4
    04:13
  • 3. Creating a Measure Calculated Field for Gauge Chart.mp4
    07:41
  • 1. Map 1- Simple Map and modes.mp4
    04:38
  • 2. Scatterplot- Animation Playback.mp4
    04:57
  • 1. POWER QUERY- 1 Row deletion and Column.mp4
    06:48
  • 2. POWER QUERY- 2 Replace Column Values.mp4
    04:03
  • 1. Python- Installing package and path.mp4
    03:45
  • 2. Python- Creating a Line chart with matplotlib.mp4
    06:34
  • 3. Python- Putting labels and creating dashed scatterplot.mp4
    05:59
  • 1. Computer Vision- Create Service.mp4
    10:20
  • 2. Computer Vision- Analyze image , text in image and generate thumbnail.mp4
    04:17
  • 1. Text Analytics- Create Service.mp4
    02:36
  • 2. Text Analytics- Language Detection.mp4
    05:20
  • 3. Text Analytics- Sentiment Analysis.mp4
    04:38
  • 4. Text Analytics- Key Phrase Extraction.mp4
    02:54
  • 5. Text Analytics- Entity Recognition.mp4
    03:58
  • Description


    Power BI | Power Query | Azure Machine Learning | Computer Vision | Text Analytics | Python charts

    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

    Who is this 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.
  • More details


    Description

    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 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

    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.

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    Pranjal Srivastava
    Pranjal Srivastava
    Instructor's Courses
    I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.I have authored 73 courses with over 102,000 students worldwide across 175+ countries on wide array of technologies like containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
    Harshit Srivastava
    Harshit Srivastava
    Instructor's Courses
    I am Self-Taught developer who had worked on various platforms using varied languages, and involved in various Projects both Open Source and Proprietary.I have developed Web and Android Applications, chrome Extension, worked on various frameworks, fixed bugs for some projects, and explored numerous others. I think education and learning should be free and open, not be bound with restrictions like attending classes or going to college, People from all age groups, gender, faith, race, nations, etc must get equal privilege. When entire world would act this way like being a single FAMILY, we would truly realize VALUE of Knowledge and Human Life.Currently I am teaching more than 144,000 students from 189 countries across the world.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 24
    • duration 1:58:31
    • Release Date 2023/02/13