Complete PowerBI Course with Augmented Analytics & Auto ML

Complete PowerBI Course with Augmented Analytics & Auto ML, available at $49.99, has an average rating of 4.4, with 59 lectures, based on 60 reviews, and has 6017 subscribers.

You will learn about Power BI – Basic & Advanced How to use DAX How to create and publish visuals using Power BI Machine Learning Concepts How to build AI – ML Models without writing a single line of code How to transform data How to build a word cloud without any coding What is autoML How to join tables How to identify anomalies/outliers in your dataset How to restrict the access of your reports and dashboards This course is ideal for individuals who are Students or Experienced professionals or Those interested in building Business Intelligence Visuals & Dashboards or Machine Learning enthusiasts or Those who are curious whether it is possible to build ML model without coding or Executives who want to learn AI in more detail but don't want to do coding It is particularly useful for Students or Experienced professionals or Those interested in building Business Intelligence Visuals & Dashboards or Machine Learning enthusiasts or Those who are curious whether it is possible to build ML model without coding or Executives who want to learn AI in more detail but don't want to do coding.

Enroll now: Complete PowerBI Course with Augmented Analytics & Auto ML

Summary

Title: Complete PowerBI Course with Augmented Analytics & Auto ML

Price: $49.99

Average Rating: 4.4

Number of Lectures: 59

Number of Published Lectures: 58

Number of Curriculum Items: 59

Number of Published Curriculum Objects: 58

Original Price: $49.99

Quality Status: approved

Status: Live

What You Will Learn

Power BI – Basic & Advanced
How to use DAX
How to create and publish visuals using Power BI
Machine Learning Concepts
How to build AI – ML Models without writing a single line of code
How to transform data
How to build a word cloud without any coding
What is autoML
How to join tables
How to identify anomalies/outliers in your dataset
How to restrict the access of your reports and dashboards

Who Should Attend

Students
Experienced professionals
Those interested in building Business Intelligence Visuals & Dashboards
Machine Learning enthusiasts
Those who are curious whether it is possible to build ML model without coding
Executives who want to learn AI in more detail but don't want to do coding

Target Audiences

Students
Experienced professionals
Those interested in building Business Intelligence Visuals & Dashboards
Machine Learning enthusiasts
Those who are curious whether it is possible to build ML model without coding
Executives who want to learn AI in more detail but don't want to do coding

Recent Updates:

June 2023: Added a video lecture on Clustering and Segmentation
Nov 2022: Updated the course with using DAX functions like Calculate and Lookup
June 2022: Added a case study on using Python(programming language) in PowerBI environment
May 2022: Added a case study on Benford Law (Benford law is used to detect fraud)
April 2022: Added a case study on Ageing Analysis

Course Description:

In the last 50 years, the world of reporting, analytics and business intelligence (BI) has seen many of evolutions. The notable ones are the rise of self service BI and augmented analytics. Businesses are no longer content with descriptive or diagnostic analytics. The expectation for prescriptive and predictive analytics has become the new normal.

Machine learning and Artificial Intelligence technology has also evolved significantly in the last decade and the notable evolution is the rise of Auto ML – the no code machine learning approaches. Auto ML has significantly democratized predictive analytics. End users can predict the future outcomes of businesses in a few (mouse) clicks.

Power BI epitomizes the recent trends in business intelligence (BI) and augmented analytics for interactive, easy to use and self-serve dashboards & auto ML capabilities.

This is a comprehensive course on Power BI covering the following:

Data Transformation
DAX
Data Models
Simple & complex visuals
AI enabled visuals
Auto ML: Concepts and no code approaches to forecast future

There are no pre-requisites for this course, although knowledge of excel would be advantageous.

There are actually 2 courses (Power BI and AI – ML) in this course and both are covered in great detail. Whether your objective is to learn power bi or machine learning or both, this course will deliver the goods for you.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Descriptive Vs Diagnostics Vs Prescriptive Vs Predictive Analytics

Lecture 3: Traditional BI Vs Self Service BI Vs Augmented BI

Lecture 4: PowerBI

Lecture 5: What is Auto ML

Lecture 6: Assignment

Chapter 2: PowerBI Download and Understanding the tool

Lecture 1: Power BI Download

Lecture 2: Introducing the Power BI tool

Chapter 3: Loading and Transforming data

Lecture 1: Loading the data

Lecture 2: Data Transformation 1

Lecture 3: Data Transformation 2: Null, Merging columns, Extracting info, Groupby

Lecture 4: Data Transformation 3: Null, Pivot & Unpivot

Chapter 4: Visualization in PowerBI

Lecture 1: Text Box

Lecture 2: Card Visual

Lecture 3: Stacked Column Chart

Lecture 4: Stacked Bar Chart

Lecture 5: Multi Row Card

Lecture 6: Tree Map

Lecture 7: Pie Chart

Lecture 8: Dual Axis Chart (Line and Stacked Column Chart)

Lecture 9: Ribbon Chart

Lecture 10: Slicer

Lecture 11: Map Visual

Lecture 12: Page Tool Tip

Lecture 13: Funnel Chart

Chapter 5: DAX

Lecture 1: Introduction to DAX

Lecture 2: Understanding different types of DAX functions

Lecture 3: Gage Chart

Lecture 4: Conditional Column

Lecture 5: Format Date Columns and Use of Max

Lecture 6: Year to date (YTD)

Lecture 7: Calculate

Lecture 8: Lookup

Chapter 6: AI Enabled Visuals

Lecture 1: What If Analysis

Lecture 2: Key Influencers

Lecture 3: Q and A

Chapter 7: Tables: Relationships and Joining Tables

Lecture 1: Introduction and 1 to 1 Relationships

Lecture 2: 1 to Many Relationships

Lecture 3: Different types of Join

Chapter 8: Publishing the report

Lecture 1: Publishing the report

Chapter 9: Row Level Security

Lecture 1: Row Level Security

Chapter 10: Case Studies

Lecture 1: Benford Law (Useful in fraud detection)

Lecture 2: Ageing Analysis

Lecture 3: Using Python in PowerBI environment and creating conditional scatter plots

Chapter 11: AI Concepts

Lecture 1: Dependent Vs Independent Variable

Lecture 2: ML Concepts

Lecture 3: Accuracy in Regression and Classification

Lecture 4: Regression and Classification Concepts

Chapter 12: Regression and Classification in Power BI

Lecture 1: Simple Linear Regression in PowerBI

Lecture 2: Multiple Linear Regression in Power BI

Lecture 3: Classification in Power BI

Chapter 13: Time Series Forecasting and Anomaly Detection Using Power BI

Lecture 1: Forecasting and Anomalies Concepts

Lecture 2: Time Series Forecasting Using Power BI

Lecture 3: Anomaly Detection Using Power BI

Chapter 14: NLP

Lecture 1: What is NLP (Natural Language Processing)

Lecture 2: NLP Concepts

Lecture 3: Wordcloud Using Power BI

Chapter 15: Clusters & Magic Quadrant in PowerBI: Unsupervised Learning: Customer Segments

Lecture 1: Clusters & Magic Quadrant in PowerBI: Unsupervised Learning: Customer Segments

Instructors

SeaportAi .
Artificial Intelligence and Business Transformation Experts

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 10 votes
4 stars: 30 votes
5 stars: 20 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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