Machine Learning and Artificial Intelligence in Power BI

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Data Bootcamp

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1. Introduction to this course

1.1 Material.7z

1. Course Material.html

2. Introduccion a Power BI

1. Introduccion a Power Bi.mp4

03:27

2. Descarga y presentacion de Power BI Desktop.mp4

04:28

3. Importacion de datos.mp4

05:35

4. Herramientas para analizar la calidad del dato.mp4

04:31

5. Funciones de pre-procesamiento de datos.mp4

05:24

3. Artificial intelligence graphics

1. Visual Q&A.mp4

05:36

2. Configuring the Q&A visual.mp4

05:36

3. Solution Exercise 1.mp4

05:24

4. Key Influencers.mp4

08:06

5. Major Chart Segments Key Influencers.mp4

04:03

6. Correlation vs Causation.mp4

02:47

7. Solution Exercise 2.mp4

03:18

8. Exercise 3 Hierarchical scheme.mp4

08:07

9. Solution Exercise 3.mp4

04:14

10. Predictions with time series.mp4

05:48

11. Solution Exercise 4.mp4

03:00

12. Detection of anomalies in time series.mp4

05:28

13. Solution Exercise 5.mp4

03:09

4. Install Python and sync with Power BI

1. Install Python and synchronization with Power BI.mp4

05:06

2. Installing Pycaret.mp4

01:33

3. Jupyter Notebook Fundamentals.mp4

03:42

5. Advanced analytics

1. How to run python scripts.mp4

03:56

2. Seaborn Basics.mp4

05:21

3. Selecting the correct chart type.mp4

03:07

4. Applied project Data preprocessing with Python.mp4

11:08

5. Applied project Analysis of numerical variables with Seaborn.mp4

06:34

6. Machine Learning Fundamentals

1. Introduction to AI.mp4

04:04

2. Types of Machine Learning Models.mp4

03:59

3. Phases of training Machine Learning models.mp4

01:57

4. Main Machine Learning algorithms.mp4

02:08

7. Deploy models in Power BI

1. Deploy models in Power BI.mp4

04:49

8. Machine Learning models with Scikit-learn

1. Entrenando un modelo de regresion con Sklearn en Power BI.mp4

05:33

2. Evaluation and obtaining of metrics of the Sklearn regression model.mp4

06:05

9. AutoML Fundamentals with Python and Pycaret

1. Introduction to autoML.mp4

02:41

2. Training and optimization of models with Pycaret.mp4

07:23

3. Model evaluation and deployment with Pycaret.mp4

05:32

10. Regression models with Python in Power BI

1. Fundamentals of regression models with Pycaret in Power BI.mp4

05:37

2. Applied project Development of a regression model of XGBoost.mp4

07:44

3. Applied project Integration of the XGBoost model in Power BI.mp4

03:44

4. Applied project Adding model evaluation charts to PowerBI.mp4

04:47

5. Exercise 1. Regression models in Power BI.mp4

01:00

6. Solution Exercise 1.mp4

07:53

11. Classification models with Python in Power BI

1. Fundamentals of classification models with Pycaret in Power BI.mp4

03:03

2. Evaluation metrics of classification models.mp4

04:48

3. Applied project Development of a classification model in Power BI.mp4

06:31

4. Applied project Model load and prediction in Power BI.mp4

02:40

5. Applied project Applying advanced pre-processing to the data.mp4

04:47

6. Applied project Evaluation of the classification model in Power BI.mp4

07:04

7. Exercise 2. Classification models in Power BI.mp4

01:01

8. Solution Exercise 2.mp4

06:19

12. Clustering models with Python in Power BI

1. Fundamentals of Clustering Models with Pycaret in Power BI.mp4

02:36

2. Clustering model evaluation metrics.mp4

01:27

3. Applied project Development of a clustering model in Power BI.mp4

06:14

4. Applied project Development of the model in Jupyter and integration in Power BI.mp4

08:42

5. Exercise 3. Clustering models in Power BI.mp4

00:54

6. Solution Exercise 3.mp4

03:54

Description

Learn how to integrate Machine Learning and AI in Power BI with hands-on projects and professional Power BI instructors

What You'll Learn?

Machine Learning in Power Bi
Artificial intelligence in Power BI
Advanced analytics
Data analytics

Who is this for?

Anyone looking for a hands-on, project-based introduction to machine learning and advanced analytics with Power BI

Data analysts and data scientists hoping to develop advanced analytics skills

Aspiring data professionals looking to integrate advanced analytics capabilities into their Power BI dashboards

Students who want a comprehensive and practical training approach

Anyone who wants to develop their career as a data analyst, data scientist or business intelligence developer

More details

Description
If you're looking for a hands-on, comprehensive, and advanced course to learn Machine Learning and Artificial Intelligence in Power BI, you've come to the right place.
Power BI has become one of the best Business Intelligence tools and one of the most widespread data visualization tool among data professionals. In addition, with the integration of Python and Machine Learning models, it can be used for advanced and predictive analytics.
In this course, we will teach you to use Power BI artificial intelligence features and to integrate Python Machine Learning models in Power BI. You will also learn the fundamentals of Machine Learning and how to develop models, with autoML and low code machine learning.
To do this, we'll guide you through Power BI functionalities, sharing clear explanations and helpful proffesional tips. We will follow a constant and systematic progression, dividing the course into those KEY OBJECTIVES:

Power BI fundamentals. Here we are going to learn the fundamentals of Power BI: connecting a data source, the program interface, adding filters, and more.

Artificial intelligence charts like Q&A, key influencing factors or decomposition trees.

Advanced analytics

Machine Learning Fundamentals

Python installation and synchronization with Power BI

AutoML Fundamentals with Python and Pycaret

Integration of models in Power BI

Regression models with Python in Power BI

Classification models with Python in Power BI

Clustering models with Python in Power BI

By the end of the project, you will not only have applied advanced analytics and machine learning techniques from scratch in Power BI dashboards, butÂ also you will have gained the knowledge and confidence to apply those concepts to your own projects.
For those who want to learn quickly with hands-on projects, join today and get immediate and lifetime access to the following:

Advanced Data Analytics in Power BI eBook in PDF
Downloadable Power BI project files
Practical exercises and quizzes
Power BI resources like: Cheatsheets and summaries
1-on-1 expert support
Course questions and answers forum

See you there!
Who this course is for:
Anyone looking for a hands-on, project-based introduction to machine learning and advanced analytics with Power BI
Data analysts and data scientists hoping to develop advanced analytics skills
Aspiring data professionals looking to integrate advanced analytics capabilities into their Power BI dashboards
Students who want a comprehensive and practical training approach
Anyone who wants to develop their career as a data analyst, data scientist or business intelligence developer

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Data Bootcamp transforma a los profesionales en expertos de datos al optimizar, simplificar y personalizar la experiencia de aprendizaje en línea.Desde hace años hemos ayudado a estudiantes y equipos en más de 150 países a desarrollar las habilidades de análisis e inteligencia empresarial más buscadas, a través de cursos, evaluaciones de habilidades, rutas de aprendizaje y capacitación empresarial.Aprender nuevas habilidades en el sector del dato es fácil. Data Bootcamp será tu equipo personal de instructores, expertos y mentores que te ayudarán en el proceso de aprendizaje y a desarrollar las habilidades profesionales más demandadas.Nuestro equipo se compone por expertos reconocidos en el campo del data anytics, MVPs, MCTs y expertos certificados de Microsoft.

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