facebook
favorite button
super instructor icon
Trusted teacher
This teacher has a fast response time and rate, demonstrating a high quality of service to their students.
member since icon
Since March 2021
Instructor since March 2021
Translated by GoogleSee original
Power BI applied. Charts, visualizations and data models.
course price icon
From 25 € /h
arrow icon
In this course you will learn how to transform your data into useful information for decision making through visualizations. You will also create your data model. Cake Graphics. Bar Charts. Dispersion. Measurements. DAX expressions. At the end of the course you will have created your first report in Power BI Desktop.
Extra information
You must have Power BI installed on your computer.
Location
location type icon
Online from Spain
About Me
I am a Bachelor of Food Science and Technology currently working in a world-class company in the Quality Assurance sector. In my spare time I enjoy transmitting my knowledge in the fields of science and computer science. I try to bring abstract concepts down to reality for a better understanding and practical application.
Education
Degree in Food Science and Technology from the University of Buenos Aires. Solid knowledge in data analysis and computing. Data Science Specialization taught by the University of Michigan through Coursera.
Experience / Qualifications
10 years of experience teaching classes to university and pre-university students. 15 years of experience in the food industry, training Personnel. Experience teaching science at the University of Buenos Aires.
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
Spanish
English
Availability of a typical week
(GMT -05:00)
Chicago
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Physics and chemistry help us to understand the world around us, but sometimes it can be difficult to understand if it is not explained from the bottom up. In this course you will learn everything you need to be able to perform optimally in these subjects.
Read more
In this Course you will learn everything you need to know about Excel. To get your new job. Forms, functions, tables. dynamic tables. Queries. We can also automate your daily work. You will learn how to update your tables as you receive new information.
Read more
Similar classes
arrow icon previousarrow icon next
verified badge
Pingla
Are you looking to bridge learning gaps, boost confidence, or push for top-tier grades? Whether your child is struggling with a specific concept or preparing for crucial exams, this comprehensive tutoring service provides the individualized support needed to succeed.

As a qualified educator with a Bachelor of Accounting Science, a Postgraduate Certificate in Education (PGCE), and a 120-hour TEFL certification, I offer a unique, multi-disciplinary approach to learning. I understand that every student learns differently, and my goal is to simplify complex topics, improve study habits, and foster a genuine understanding of the curriculum.

What this class offers:

Comprehensive Subject Coverage: Assistance across a wide range of school subjects, from foundational literacy and numeracy to advanced mathematics, accounting, and language studies.

Targeted Exam Preparation: Specialized strategies for test-taking, managing time effectively during exams, and tackling high-pressure assessments.

Personalized Learning Plans: Each session is tailored to the student’s current pace and specific curriculum requirements, ensuring they don't just "pass" but truly master the material.

Confidence Building: A supportive, patient, and focused environment where students feel comfortable asking questions and exploring new ideas.

With my background in both formal education and corporate business, I bring a structured, result-oriented focus to tutoring, helping students develop the discipline and analytical skills they will need long after they leave the classroom.

Ready to help your student reach their full potential?
Consistency is key to academic success. Book a session today so we can evaluate your student's current needs, set clear academic goals, and create a customized tutoring schedule that fits your family's routine.
verified badge
Abdelmalek
Master Industrial Control Systems (SCADA, DCS, IIoT) and automation through tailored, hands-on coaching based on real-world industrial projects! With over 10 years of international engineering, solution architecture, and technical business development experience working with major industry vendors

I offer practical courses designed for engineering students, university undergraduates, and professionals looking to upskill.

The pathway will be in 7 days to cover all basics in OT environnement :
Day 1 - Virtual Environment Preparation for OT projects
- Install Hypervisor on your workstation (A virtual machine).
- Create a Linux VM (Fedora Server).
- Configure 2 networks on the VM: one in NAT (internet access) and one in Host-Only Network (to isolate lab traffic).
- Install basic tools for OT
Day 2: Modbus PLC Simulation (Add 2 Server and test script client to connect)
- Implement Modbus PLC simulators and architecture overview
- Create PLC simulator scripts in src/plc-simulators/
- Add validation test script for Modbus connectivity
- Update Day 2 guide with detailed implementation steps and compatibility notes
Day 3: NGINX Load Balancer Configuration (Round Robin)
- Understand NGINX Stream Module
- Configure NGINX
- Verify and Load the Module
- Troubleshooting NGINX (Activate load balancing in layer 4 protocol, Set permission)
- Step-by-Step Load Balancer Validation
- Test Load Balancing (Round-Robin)
- Test Failover (Resilience)
Day 4 - Creation of the traffic generator (SCADA Client)
- TBD
Day 5 - Traffic capture and measurement with TShark
TBD
Day 6 - Advanced analysis and overload simulation
TBD
Day 7 - Grafana
-TBD
What we can cover together based on your goals:
verified badge
Mustafa
Data Mining Algorithms and Techniques Training Course - Beginner and Intermediate Level, for Computer Science Professionals and Non-Professionals.

The course content (according to my book published on Google Books), is titled: Advanced Analysis and Data Mining.
The book can be searched for using its name or the author's name.

Table of Contents

Chapter 1: Introduction to Advanced Analysis and Data Mining
1-1 What is data mining, its procedures and tools
1-2 What type of data is mined?
1-3 What are databases?
1-4 Relational Database
1-5 Query Language
1-6 Benefits of Database Mining
1-7 months data mining applications
A - Business Intelligence (Business Intelligence)
B - Internet search engines

Chapter Two: Data Recognition
2-1 Data Types, Characteristics, and Features
2-2 Statistical Description of Data
2-3 Visualization of Data
2-4 Measuring data similarity and difference
Chapter Three: Preparing Data for Analysis and Mining
3-1 The importance of preparing data for analysis and mining
3-2 Data Cleanup
3-3 Data Integration
3-4 Data Reduction
3-5 Data Transformation and Data Individualization

Chapter Four: Pattern Discovery and Exploration, Dependency and Correlation Rules
4-1 Basic Concepts
4-2 Shopping basket analysis (example)
4-3 Evaluating the dependency and correlation rules being explored
4-4 Mining Multi-Level Dependency and Linkage Rules
4-5 Mining multidimensional dependency and correlation rules
4-6 Rules of nominal and quantitative dependency and correlation
4-7 Exploring and identifying rare and negative patterns
4-8 Exploring and Determining the Rules of Dependency and Conditional Linkage
4-9 Evaluating dependency and correlation rules and distinguishing between useful and unhelpful ones
4-10 Measuring the type and strength of the relationship in dependency and correlation rules
4-11 Applications of pattern mining in practical life

Chapter Five: Analysis and Mining Using Classification and Prediction Algorithms
5-1 Basic Concepts
5-2 Classification using decision tree extrapolation
5-3 Classification using probability theory (hypothetical theory)
5-4 Classification using hypothetical network theory
5-5 Classification using correlation rules extrapolation
5-6 Classification using neural network algorithm
5-7 Classification using the nearest neighbor algorithm
5-8 Multi-category classification algorithms
5-9 Evaluating the efficiency and selection of classification algorithms

Chapter Six: Analysis and Mining Using Cluster Hashing Algorithms
6-1 Basic Concepts
6-2 Clustering by Division
6-3 Hierarchical Clustering
A. Hierarchical clustering
b. Hierarchical fission
6-4 Probability Clustering
6-5 High-Dimensional Clustering
6-6 Clustering of graphs and network data
6-7 Conditional Clustering
6-8 Cluster Segmentation Assessment

Chapter Seven: Analyzing and Mining Outliers and Complex Data Types
7-1 Basic Concepts
7-2 Types of extreme values
7-3 Ways to Explore Extreme Values
7-4 Complex Data Analysis and Mining

Chapter Eight: Planning Data Mining Operations and Their Applications in Society
8-1 Planning Data Mining Operations
8-2 Data Mining in the Community
8-3 Data mining applications in vital areas of society
8-4 Practical Application: Recommendation System Usage Scenario

Appendix 1: Database Fundamentals
Appendix 2: Data Warehouse Fundamentals
Appendix 3: Glossary of Data Mining Terms
message icon
Contact Alberto
repeat students icon
1st lesson is backed
by our
Good-fit Instructor Guarantee
Similar classes
arrow icon previousarrow icon next
verified badge
Pingla
Are you looking to bridge learning gaps, boost confidence, or push for top-tier grades? Whether your child is struggling with a specific concept or preparing for crucial exams, this comprehensive tutoring service provides the individualized support needed to succeed.

As a qualified educator with a Bachelor of Accounting Science, a Postgraduate Certificate in Education (PGCE), and a 120-hour TEFL certification, I offer a unique, multi-disciplinary approach to learning. I understand that every student learns differently, and my goal is to simplify complex topics, improve study habits, and foster a genuine understanding of the curriculum.

What this class offers:

Comprehensive Subject Coverage: Assistance across a wide range of school subjects, from foundational literacy and numeracy to advanced mathematics, accounting, and language studies.

Targeted Exam Preparation: Specialized strategies for test-taking, managing time effectively during exams, and tackling high-pressure assessments.

Personalized Learning Plans: Each session is tailored to the student’s current pace and specific curriculum requirements, ensuring they don't just "pass" but truly master the material.

Confidence Building: A supportive, patient, and focused environment where students feel comfortable asking questions and exploring new ideas.

With my background in both formal education and corporate business, I bring a structured, result-oriented focus to tutoring, helping students develop the discipline and analytical skills they will need long after they leave the classroom.

Ready to help your student reach their full potential?
Consistency is key to academic success. Book a session today so we can evaluate your student's current needs, set clear academic goals, and create a customized tutoring schedule that fits your family's routine.
verified badge
Abdelmalek
Master Industrial Control Systems (SCADA, DCS, IIoT) and automation through tailored, hands-on coaching based on real-world industrial projects! With over 10 years of international engineering, solution architecture, and technical business development experience working with major industry vendors

I offer practical courses designed for engineering students, university undergraduates, and professionals looking to upskill.

The pathway will be in 7 days to cover all basics in OT environnement :
Day 1 - Virtual Environment Preparation for OT projects
- Install Hypervisor on your workstation (A virtual machine).
- Create a Linux VM (Fedora Server).
- Configure 2 networks on the VM: one in NAT (internet access) and one in Host-Only Network (to isolate lab traffic).
- Install basic tools for OT
Day 2: Modbus PLC Simulation (Add 2 Server and test script client to connect)
- Implement Modbus PLC simulators and architecture overview
- Create PLC simulator scripts in src/plc-simulators/
- Add validation test script for Modbus connectivity
- Update Day 2 guide with detailed implementation steps and compatibility notes
Day 3: NGINX Load Balancer Configuration (Round Robin)
- Understand NGINX Stream Module
- Configure NGINX
- Verify and Load the Module
- Troubleshooting NGINX (Activate load balancing in layer 4 protocol, Set permission)
- Step-by-Step Load Balancer Validation
- Test Load Balancing (Round-Robin)
- Test Failover (Resilience)
Day 4 - Creation of the traffic generator (SCADA Client)
- TBD
Day 5 - Traffic capture and measurement with TShark
TBD
Day 6 - Advanced analysis and overload simulation
TBD
Day 7 - Grafana
-TBD
What we can cover together based on your goals:
verified badge
Mustafa
Data Mining Algorithms and Techniques Training Course - Beginner and Intermediate Level, for Computer Science Professionals and Non-Professionals.

The course content (according to my book published on Google Books), is titled: Advanced Analysis and Data Mining.
The book can be searched for using its name or the author's name.

Table of Contents

Chapter 1: Introduction to Advanced Analysis and Data Mining
1-1 What is data mining, its procedures and tools
1-2 What type of data is mined?
1-3 What are databases?
1-4 Relational Database
1-5 Query Language
1-6 Benefits of Database Mining
1-7 months data mining applications
A - Business Intelligence (Business Intelligence)
B - Internet search engines

Chapter Two: Data Recognition
2-1 Data Types, Characteristics, and Features
2-2 Statistical Description of Data
2-3 Visualization of Data
2-4 Measuring data similarity and difference
Chapter Three: Preparing Data for Analysis and Mining
3-1 The importance of preparing data for analysis and mining
3-2 Data Cleanup
3-3 Data Integration
3-4 Data Reduction
3-5 Data Transformation and Data Individualization

Chapter Four: Pattern Discovery and Exploration, Dependency and Correlation Rules
4-1 Basic Concepts
4-2 Shopping basket analysis (example)
4-3 Evaluating the dependency and correlation rules being explored
4-4 Mining Multi-Level Dependency and Linkage Rules
4-5 Mining multidimensional dependency and correlation rules
4-6 Rules of nominal and quantitative dependency and correlation
4-7 Exploring and identifying rare and negative patterns
4-8 Exploring and Determining the Rules of Dependency and Conditional Linkage
4-9 Evaluating dependency and correlation rules and distinguishing between useful and unhelpful ones
4-10 Measuring the type and strength of the relationship in dependency and correlation rules
4-11 Applications of pattern mining in practical life

Chapter Five: Analysis and Mining Using Classification and Prediction Algorithms
5-1 Basic Concepts
5-2 Classification using decision tree extrapolation
5-3 Classification using probability theory (hypothetical theory)
5-4 Classification using hypothetical network theory
5-5 Classification using correlation rules extrapolation
5-6 Classification using neural network algorithm
5-7 Classification using the nearest neighbor algorithm
5-8 Multi-category classification algorithms
5-9 Evaluating the efficiency and selection of classification algorithms

Chapter Six: Analysis and Mining Using Cluster Hashing Algorithms
6-1 Basic Concepts
6-2 Clustering by Division
6-3 Hierarchical Clustering
A. Hierarchical clustering
b. Hierarchical fission
6-4 Probability Clustering
6-5 High-Dimensional Clustering
6-6 Clustering of graphs and network data
6-7 Conditional Clustering
6-8 Cluster Segmentation Assessment

Chapter Seven: Analyzing and Mining Outliers and Complex Data Types
7-1 Basic Concepts
7-2 Types of extreme values
7-3 Ways to Explore Extreme Values
7-4 Complex Data Analysis and Mining

Chapter Eight: Planning Data Mining Operations and Their Applications in Society
8-1 Planning Data Mining Operations
8-2 Data Mining in the Community
8-3 Data mining applications in vital areas of society
8-4 Practical Application: Recommendation System Usage Scenario

Appendix 1: Database Fundamentals
Appendix 2: Data Warehouse Fundamentals
Appendix 3: Glossary of Data Mining Terms
Good-fit Instructor Guarantee
favorite button
message icon
Contact Alberto