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Since March 2021
Instructor since March 2021
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Power BI applied. Charts, visualizations and data models.
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From 30.43 $ /h
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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)
New York
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.
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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.
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Objective: To understand AI without fear, to use it to simplify one's life and to know how to identify digital traps.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
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Amine
◾ Tools

RStudio • SQL • SPSS • SAS • Jamovi • JASP

◾ Statistical Methods & Tests

Student's t-test • ANOVA • MANOVA • ANCOVA • Regression (linear & logistic) • Correlation • Chi-square • Nonparametric tests • PCA • MCA • Exploratory factor analysis • Classification / Clustering • Mediation • Moderation • Interpretation

◾ Data analysis & decision support

- Data preparation, structuring and validation using SAS, R and SQL
- Descriptive, exploratory and multivariate statistical analyses on business data
- Production of performance indicators and actionable analyses to support decision-making

◾ Selection and implementation of methods

- Preparation and structuring of databases
- Hypothesis testing and univariate, bivariate and multivariate analyses (ANOVA / ANCOVA)
- Linear and logistic regressions
- Factor analyses (PCA / MCA)
- Mediation and moderation models
- Classification / clustering

1) Academic support

- Lectures, tutorials, projects and assignments in statistics
- Help in understanding and interpreting the results
- Preparation for exams and academic presentations

2) Statistical analysis

- Descriptive statistics (univariate and bivariate)
- Multivariate analyses
- Data exploration and outlier detection

3) Statistical tests

- Correlations (Pearson, Spearman, Cohen's Kappa)
- t-tests (one and two samples, independent or paired)
- Chi-square, binomial tests
- z-scores and associated indicators

4) Statistical modeling

- Linear regressions (simple and multiple)
- Logistic regression
- Interpretation of coefficients, diagnostics and validation of models

5) ANOVA & ANCOVA

- One- or multi-factor ANOVA
- Repeated measures ANOVA
- Fixed and random effects
- Post-hoc tests and effect sizes

6) Factor analyses

- ACP / PCA (scree plot, factor scores, matrices)
- Exploratory factor analysis
- Factorial rotations
- Validation and interpretation of structures and clusters

◾ Reporting & communication

- Clear, structured and concise reporting of results
- Visualizations tailored to decision-makers
- Support for strategic and operational decision-making
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PHP & MySQL Systems

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Python Projects

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✅ අපගේ සේවාවන්:

✔ Project Proposal ලිවීම
✔ Software Development (PHP, Java, Python, Web)
✔ සම්පූර්ණ Documentation (Chapter 1–5)
✔ SRS Documentation
✔ UML Diagrams & Database Design
✔ Research Support
✔ Plagiarism Free Report
✔ Viva Training

🎯 අපව තෝරාගැනීමට හේතු:

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✔ UCSC Guidelines අනුව
✔ සාධාරණ මිල
✔ නියමිත කාලයට

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நீங்கள் University of Colombo BIT மாணவரா? Final Year Project க்கு உதவி தேவையா?

UCSC வழிகாட்டுதலுக்கு ஏற்ப முழுமையான Project & Documentation உதவி வழங்குகிறோம்.

✅ எங்கள் சேவைகள்:

✔ Project Proposal எழுதுதல்
✔ Software Development (PHP, Java, Python)
✔ முழு Documentation (Chapter 1–5)
✔ SRS & UML Diagram
✔ Database Design
✔ Research Paper உதவி
✔ Viva Preparation

🎯 ஏன் எங்களை தேர்வு செய்ய வேண்டும்?

✔ 100% Original Work
✔ UCSC Standard
✔ நேரத்திற்கு வேலை முடித்தல்
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Similar classes
arrow icon previousarrow icon next
verified badge
Raouf
Objective: To understand AI without fear, to use it to simplify one's life and to know how to identify digital traps.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
verified badge
Amine
◾ Tools

RStudio • SQL • SPSS • SAS • Jamovi • JASP

◾ Statistical Methods & Tests

Student's t-test • ANOVA • MANOVA • ANCOVA • Regression (linear & logistic) • Correlation • Chi-square • Nonparametric tests • PCA • MCA • Exploratory factor analysis • Classification / Clustering • Mediation • Moderation • Interpretation

◾ Data analysis & decision support

- Data preparation, structuring and validation using SAS, R and SQL
- Descriptive, exploratory and multivariate statistical analyses on business data
- Production of performance indicators and actionable analyses to support decision-making

◾ Selection and implementation of methods

- Preparation and structuring of databases
- Hypothesis testing and univariate, bivariate and multivariate analyses (ANOVA / ANCOVA)
- Linear and logistic regressions
- Factor analyses (PCA / MCA)
- Mediation and moderation models
- Classification / clustering

1) Academic support

- Lectures, tutorials, projects and assignments in statistics
- Help in understanding and interpreting the results
- Preparation for exams and academic presentations

2) Statistical analysis

- Descriptive statistics (univariate and bivariate)
- Multivariate analyses
- Data exploration and outlier detection

3) Statistical tests

- Correlations (Pearson, Spearman, Cohen's Kappa)
- t-tests (one and two samples, independent or paired)
- Chi-square, binomial tests
- z-scores and associated indicators

4) Statistical modeling

- Linear regressions (simple and multiple)
- Logistic regression
- Interpretation of coefficients, diagnostics and validation of models

5) ANOVA & ANCOVA

- One- or multi-factor ANOVA
- Repeated measures ANOVA
- Fixed and random effects
- Post-hoc tests and effect sizes

6) Factor analyses

- ACP / PCA (scree plot, factor scores, matrices)
- Exploratory factor analysis
- Factorial rotations
- Validation and interpretation of structures and clusters

◾ Reporting & communication

- Clear, structured and concise reporting of results
- Visualizations tailored to decision-makers
- Support for strategic and operational decision-making
verified badge
Online
🎓 BIT UCSC UoM Final Year Software Project Help – Sri Lanka

Are you a BIT student at UCSC – University of Colombo struggling with your Final Year Software Project?

We provide Professional BIT Final Year Project Development & Documentation Support according to UCSC guidelines.

✅ Our Services:

✔ Project Proposal Writing
✔ Full Software Development (PHP, MySQL, Java, Python, AI, Web)
✔ System Documentation (Chapters 1–5)
✔ SRS Documentation
✔ Database Design & UML Diagrams
✔ Research Paper Support
✔ Plagiarism-Free Report
✔ Viva & Presentation Preparation
✔ Individual Project Guidance

💻 Technologies We Support:

PHP & MySQL Systems

Java Desktop Applications

Python Projects

Web-Based Systems

E-commerce Systems

AI & Machine Learning Projects

Mobile App Projects

🎯 Why Choose Us?

✔ 100% Original Work
✔ According to UCSC BIT Guidelines
✔ Affordable Prices
✔ On-Time Delivery
✔ Friendly Support

📍 Specially for BIT Students – UCSC, University of Colombo

🇱🇰 සිංහල VERSION
🎓 UCSC BIT අවසන් වසර Software Project සහාය – ශ්‍රී ලංකාව

ඔබ University of Colombo School of Computing BIT ශිෂ්‍යයෙක්ද? Final Year Software Project එකට සහාය අවශ්‍යද?

අපි UCSC මාර්ගෝපදේශ අනුව සම්පූර්ණ Project සහ Documentation සහාය ලබාදෙමු.

✅ අපගේ සේවාවන්:

✔ Project Proposal ලිවීම
✔ Software Development (PHP, Java, Python, Web)
✔ සම්පූර්ණ Documentation (Chapter 1–5)
✔ SRS Documentation
✔ UML Diagrams & Database Design
✔ Research Support
✔ Plagiarism Free Report
✔ Viva Training

🎯 අපව තෝරාගැනීමට හේතු:

✔ 100% Original
✔ UCSC Guidelines අනුව
✔ සාධාරණ මිල
✔ නියමිත කාලයට

🇮🇳 தமிழ் VERSION
🎓 UCSC BIT இறுதி ஆண்டு Software Project உதவி – இலங்கை

நீங்கள் University of Colombo BIT மாணவரா? Final Year Project க்கு உதவி தேவையா?

UCSC வழிகாட்டுதலுக்கு ஏற்ப முழுமையான Project & Documentation உதவி வழங்குகிறோம்.

✅ எங்கள் சேவைகள்:

✔ Project Proposal எழுதுதல்
✔ Software Development (PHP, Java, Python)
✔ முழு Documentation (Chapter 1–5)
✔ SRS & UML Diagram
✔ Database Design
✔ Research Paper உதவி
✔ Viva Preparation

🎯 ஏன் எங்களை தேர்வு செய்ய வேண்டும்?

✔ 100% Original Work
✔ UCSC Standard
✔ நேரத்திற்கு வேலை முடித்தல்
✔ மலிவு விலை
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