Tutorialspoint

Celebrating 11 Years of Learning Excellence! Use: TP11

Learn Data Science and Machine Learning on Microsoft Azure

Learn Data Science and Machine Learning on Microsoft Azure

Create visualization charts and business intelligence reports using Power BI

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Pranjal Srivastava, Harshit Srivastava

English [CC]

category icon Development ,Data Science,Machine Learning

Lectures -58

Duration -4 hours

Lifetime Access

4.6

price-loader

Lifetime Access

30-days Money-Back Guarantee

Training 5 or more people ?

Get your team access to 10000+ top Tutorials Point courses anytime, anywhere.

Course 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 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.

Goals

  • 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.

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 a working knowledge of Python programming for writing programs for Computer vision and Text Analytics.
Learn Data Science and Machine Learning on Microsoft Azure

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction

1 Lectures
  • play icon Introduction 01:49 01:49

Getting started with Power BI

4 Lectures
Tutorialspoint

Create more Visualization charts

3 Lectures
Tutorialspoint

Customizing Dataset with Calculated Field, Slicers

4 Lectures
Tutorialspoint

Storytelling with Animated charts

2 Lectures
Tutorialspoint

Working with Live Web Data

2 Lectures
Tutorialspoint

Exporting Report

2 Lectures
Tutorialspoint

Adding Custom Buttons

4 Lectures
Tutorialspoint

Data Visualization with Python

5 Lectures
Tutorialspoint

Data Preparation with Power Query

7 Lectures
Tutorialspoint

Index and Conditional Columns

3 Lectures
Tutorialspoint

Date and Time Functions

3 Lectures
Tutorialspoint

Removing Null values using python script

2 Lectures
Tutorialspoint

Azure Machine Learning- Computer Vision

2 Lectures
Tutorialspoint

Azure Machine Learning- Text Analytics

5 Lectures
Tutorialspoint

Custom Vision

4 Lectures
Tutorialspoint

Azure Translate

1 Lectures
Tutorialspoint

Content Moderator

4 Lectures
Tutorialspoint

Instructor Details

Pranjal Srivastava

Pranjal Srivastava

I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.

I have authored 78 courses with over 115,000 students worldwide across 175+ countries on wide array of technologies like devops, containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.

Course Certificate

Use your certificate to make a career change or to advance in your current career.

sample Tutorialspoint certificate

Our students work
with the Best

Related Video Courses

View More

Annual Membership

Become a valued member of Tutorials Point and enjoy unlimited access to our vast library of top-rated Video Courses

Subscribe now
Annual Membership

Online Certifications

Master prominent technologies at full length and become a valued certified professional.

Explore Now
Online Certifications

Talk to us

1800-202-0515