Exploratory Data Analysis with Seaborn 

Skills: Data Analysis, Scatter Plots, Descriptive Statistics, Box Plots, Machine Learning, Correlation Analysis, Seaborn, Exploratory Data Analysis, Statistical Visualization, Pandas (Python Package), Data Science, Matplotlib

PyCaret: Anatomy of Regression

Skills: Regression Analysis · PyCaret Library · Feature Engineering · Model Selection · Model Evaluation Metrics · Hyperparameter Tuning · Regression Algorithms (e.g., Linear, Ridge, Lasso) · Cross-Validation · Model Interpretation · Python for Machine Learning

Python for Data Science & Machine Learning: Zero to Hero

Skills: Python Programming · Data Preprocessing · Pandas for Data Manipulation · NumPy for Numerical Computation · Data Visualization (Matplotlib, Seaborn) 

Statistics with R - Intermediate Level

Skills: Advanced Data Manipulation with R · Hypothesis Testing · Regression Analysis · ANOVA (Analysis of Variance) · Time Series Analysis · Statistical Modeling · R Programming for Statistical Analysis · Data Visualization with ggplot2 · Multivariate Analysis 

Time Series Analysis and Forecasting

Skills: Machine Learning Operations (MLOps) · Economic Modeling · Data Analysis · R Studio · Python

Excel PowerPivot - Excel Data Analysis & DAX for Beginners

Skills: Excel Data Analysis · PowerPivot · Data Analysis Expressions (DAX)

Statistics with R - Advanced Level

Skills: Regression Testing · Data Analysis · Analysis of Variance (ANOVA) · Statistical Modeling · R Studio

CERTIFICATION EXAM: Affiliate and Partnerships Industry – Fundamentals

Skills : Understanding Affiliate Marketing Models - Partnership Strategy Development - Tracking and Analytics -  Compliance and Regulations - Optimizing Affiliate Performance - Communication and Negotiation

Foundations: Data, Data, Everywhere

Skills: Data Collection · Data Cleaning · Data Analysis · Data Interpretation · Data Visualization · Data Management

Research Fundamentals for Early Researchers and Advanced Students in the Arab World

Skills: Research Methodology · Literature Review · Data Collection Techniques · Statistical Analysis · Critical Thinking · Academic Writing

Fundamentals of Computable General Equilibrium Modeling

Skills: CGE · GAMS · Cornerstone CGE · UNI-CGE model

Construct Stock Market Indices

Skills: Stock Market Analysis · Index Construction · Financial Data Analysis · Time Series Analysis · Portfolio Management · Statistical Modeling

Google Data Studio - Création de Tableaux de Bords Interactifs

Skills: Google Data Studio · Data Visualization · Interactive Dashboards · Data Integration · Reporting Tools · Data Analysis

Machine Learning Pipelines with Azure ML Studio

Skills: Azure ML Studio · Machine Learning Pipelines · Data Preprocessing · Model Training · Model Deployment · Automation in Machine Learning

Machine Learning Specialization

Skills: Machine Learning Algorithms · Supervised Learning · Unsupervised Learning · Model Evaluation · Neural Networks · Deep Learning · Feature Engineering · Model Deployment

Word Forms and Simple Present Tense

Skills: Word Forms · Simple Present Tense · Verb Conjugation · Sentence Structure · Grammar Rules · Subject-Verb Agreement

Basic Image Classification with TensorFlow

Skills: TensorFlow · Image Classification · Neural Networks · Convolutional Neural Networks (CNNs) · Data Preprocessing · Model Training · Model Evaluation

Data Visualization using Plotnine and ggplot

Skills: Plotnine · ggplot · Data Visualization · Data Plotting · Statistical Graphs · Aesthetics in Visualization · Python Visualization Libraries

Overview of Data Visualization

Skills: Data Visualization Techniques · Chart Types · Data Interpretation · Visual Storytelling · Data Cleaning for Visualization · Visualization Tools · Design Principles for Visuals

Big Data Foundations - Level 1

Skills: Big Data Concepts · Data Storage Solutions · Data Processing Frameworks · Distributed Computing · Hadoop · NoSQL Databases 

Data Visualization using Plotly

Skills: Plotly · Interactive Data Visualization · Graphing Techniques · Data Plotting 

Statistical Data Visualization with Seaborn From UST

Skills: Seaborn · Statistical Data Visualization · Data Plotting · Python Visualization Libraries · Data Exploration · Correlation Analysis · Distribution Plots 

Evaluation d'impact : théories et pratiques

Skills: Impact Evaluation · Evaluation Theories · Research Methods · Data Collection Techniques · Program Assessment · Quantitative and Qualitative Analysis · Impact Metrics · Reporting and Communication

Portfolio Optimization using Markowitz Model

Skills: Portfolio Optimization · Markowitz Model · Risk-Return Analysis · Asset Allocation · Modern Portfolio Theory · Diversification · Financial Modeling · Quantitative Analysis

PROGRAMMATION ET POLITIQUES FINANCIÈRES, DEUXIÈME PARTIE : CONCEPTION DES PROGRAMMES

Skills: Financial Programming · Program Design · Financial Policies · Budgeting Techniques · Economic Modeling · Policy Analysis · Decision-Making Frameworks · Financial Risk Management

Portfolio Diversification using Correlation Matrix

Skills: Portfolio Diversification · Correlation Matrix · Risk Management 

FONDAMENTAUX POLITIQUE BUDGETAIRE

Skills: Budgetary Policy · Fiscal Policy · Financial Planning · Public Finance Management · Government Budgeting · Economic Forecasting · Resource Allocation · Financial Decision-Making

PROGRAMMATION ET POLITIQUES FINANCIÈRES, PREMIÈRE PARTIE : ANALYSE DES COMPTES MACROÉCONOMIQUES

Skills: Macroeconomic Accounts Analysis · Financial Programming · Economic Indicators · National Accounts · Fiscal Analysis · Economic Modeling · Budget Analysis · Public Finance

PROGRAMMATION ET POLITIQUES FINANCIÈRES, PREMIÈRE PARTIE : ANALYSE DES COMPTES MACROÉCONOMIQUES

Skills: Macroeconomic Accounts Analysis · Financial Programming · Economic Indicators · National Accounts · Fiscal Analysis · Economic Modeling · Budget Analysis · Public Finance

Python 3 Course: The Complete Guide (Step by Step)

Skills: Python Syntax · Data Types and Variables · Control Flow (if, for, while) · Functions and Modules · Object-Oriented Programming (OOP) · Exception Handling · File Input/Output · Libraries (e.g., NumPy, pandas) · Data Structures (Lists, Tuples, Dictionaries) · Debugging and Testing

Artificial Intelligence Intro

Skills: Artificial Intelligence Concepts · Machine Learning Basics · Neural Networks · Algorithms and Models · Data Preprocessing · AI Applications · Problem-Solving Techniques · Supervised and Unsupervised Learning · Ethical AI · AI Tools and Frameworks

Artificial Intelligence Intro

Skills: Artificial Intelligence Concepts · Machine Learning Basics · Neural Networks · Algorithms and Models · Data Preprocessing · AI Applications · Problem-Solving Techniques · Supervised and Unsupervised Learning · Ethical AI · AI Tools and Frameworks

Government Economic Policy - Introduction

Skills: Economic Policy Analysis · Government Budgeting · Fiscal Policy · Monetary Policy · Economic Growth Strategies · Public Finance Management · Policy Implementation 

Learn Python From Scratch - Basic to Advance

Skills: Python Syntax · Data Types and Variables · Control Flow (if, for, while) · Functions and Modules · Object-Oriented Programming (OOP) · Exception Handling · File Handling · Libraries (e.g., NumPy, pandas) · Data Structures (Lists, Tuples, Dictionaries) 

The Data Science Certification Course

Skills: Data Science Concepts · Data Cleaning and Preprocessing · Statistical Analysis · Machine Learning Algorithms 

The Hands On Machine Learning Course

Skills: Machine Learning Concepts · Supervised Learning · Unsupervised Learning · Neural Networks · Model Evaluation · Feature Engineering · Data Preprocessing 

Complete Linear Regression Analysis in Python

Skills: Linear Regression · Python for Data Analysis · Model Building · Data Preprocessing · Statistical Analysis · Scikit-learn · Feature Selection 

Introduction to Topic Modeling for Business

Skills: Topic Modeling · Natural Language Processing (NLP) · Text Mining · Latent Dirichlet Allocation (LDA) · Feature Extraction · Unsupervised Learning · Data Preprocessing · Business Intelligence · Text Data Analysis · Sentiment Analysis

Learn Python Basics

Skills: Python Syntax · Variables and Data Types · Control Flow (if, for, while) · Functions and Methods · Lists and Tuples · Dictionaries and Sets · Input/Output Handling 

Lifelong Learning

Skills: Self-Directed Learning · Critical Thinking · Time Management · Adaptability · Problem-Solving · Research Skills · Goal Setting · Continuous Improvement 

The Python 3 Certification Course

Skills: Python Syntax · Data Types and Variables · Control Flow (if, for, while) · Functions and Modules · Object-Oriented Programming (OOP) · Exception Handling · File Handling · Libraries (e.g., NumPy, pandas) · Data Structures (Lists, Tuples, Dictionaries) 

Data Science & Analytics Intro

Skills: Data Science Concepts · Data Analytics Techniques · Data Cleaning and Preprocessing · Statistical Analysis · Machine Learning Basics · Data Visualization · Exploratory Data Analysis (EDA) · Big Data Fundamentals · Python for Data Science · Business Intelligence

COVID19 Data Analysis Using Python

Skills: Data Cleaning · Data Visualization · Pandas for Data Analysis · Time Series Analysis · Statistical Analysis 

Linear Regression with NumPy and Python

Skills: Linear Regression · NumPy for Data Manipulation · Python for Data Analysis · Model Implementation · Data Preprocessing · Statistical Analysis · Gradient Descent · Regression Metrics · Visualization of Regression Results · Predictive Modeling

Linear Regression with NumPy and Python

Skills: Linear Regression · NumPy for Data Manipulation · Python for Data Analysis · Model Implementation · Data Preprocessing · Statistical Analysis · Gradient Descent · Regression Metrics · Visualization of Regression Results · Predictive Modeling

Data Science Foundations Specialist

Skills: Data Science Concepts · Data Cleaning and Preprocessing · Exploratory Data Analysis (EDA) · Statistical Analysis · Machine Learning Basics · Data Visualization · Big Data Fundamentals · Feature Engineering 

Machine Learning with Python - Level 1

Skills: Machine Learning Basics · Supervised Learning · Unsupervised Learning · Data Preprocessing · Model Evaluation · Feature Engineering · Scikit-learn · Regression and Classification · Clustering Techniques 

Applied Data Science with Python - Level 2

Skills: Data Science Applications · Advanced Data Analysis · Machine Learning with Python · Data Visualization · Feature Engineering 

Data Analysis Using Python

Skills: Data Cleaning · Data Wrangling · Exploratory Data Analysis (EDA) · Pandas for Data Analysis · NumPy for Numerical Computing 

Data Science Methodology

Skills: Problem Definition · Data Collection · Data Cleaning and Preprocessing · Exploratory Data Analysis (EDA) · Feature Engineering · Model Selection and Evaluation · Data Visualization · Machine Learning Algorithms · Model Deployment 

Python for Data Science

Skills: Python Syntax · Data Cleaning and Preprocessing · Pandas for Data Manipulation · NumPy for Numerical Computation · Data Visualization (Matplotlib, Seaborn) 

Fundamentals of Quantitative Modeling

Skills: Quantitative Analysis · Mathematical Modeling · Statistical Methods · Data Analysis Techniques · Optimization Methods · Financial Modeling · Probability Theory · Regression Analysis · Sensitivity Analysis · Simulation Techniques

Open Source Tools for Data Science

Skills: Data Science Tools · Python Libraries (e.g., Pandas, NumPy, Scikit-learn) · R for Data Science · Jupyter Notebooks · Apache Hadoop · Apache Spark · TensorFlow · Git and GitHub · Data Visualization Tools (e.g., Matplotlib, Seaborn) · SQL for Data Analysis

Python for Data Science and AI

Skills: Python for Data Science · Data Analysis with Pandas · Machine Learning with Scikit-learn · NumPy for Numerical Computation · Data Visualization with Matplotlib and Seaborn 

Data Analysis with Python

Skills: Data Cleaning · Data Wrangling · Pandas for Data Manipulation · NumPy for Numerical Analysis · Exploratory Data Analysis (EDA) · Data Visualization with Matplotlib and Seaborn · Statistical Analysis · Data Preprocessing · Feature Engineering · Machine Learning Basics

Data Science Orientation

Skills: Data Science Concepts · Data Exploration · Statistical Analysis · Data Cleaning and Preprocessing · Machine Learning Basics 

Practical Time Series Analysis

Skills: Time Series Data · Data Preprocessing for Time Series · Trend Analysis · Seasonal Decomposition · Autocorrelation · Forecasting Models (e.g., ARIMA) 

What is Data Science?

Skills: Data Analysis · Statistical Modeling · Machine Learning · Data Preprocessing · Data Visualization · Big Data Techniques · Data Mining · Python and R Programming · Predictive Modeling · Data Wrangling

Introduction to Statistics

Skills: Descriptive Statistics · Probability Theory · Data Distribution · Hypothesis Testing · Inferential Statistics · Sampling Methods 

MA121: Introduction to Statistics

Skills: Descriptive Statistics · Probability Distributions · Hypothesis Testing · Confidence Intervals · Sampling Techniques · Correlation and Regression · Data Visualization · Central Tendency (Mean, Median, Mode) · Variability (Range, Variance, Standard Deviation) · Statistical Inference

Data Analysis with Python

Skills: Data Cleaning · Data Wrangling · Pandas for Data Manipulation · NumPy for Numerical Computation · Exploratory Data Analysis (EDA) · Data Visualization (Matplotlib, Seaborn) · Statistical Analysis · Data Preprocessing · Feature Engineering · Machine Learning Basics

Data Management and Visualization

Skills: Data Cleaning and Preprocessing · Data Wrangling · Data Visualization Techniques · Data Management Tools (e.g., SQL, Excel) · Visualization Libraries (e.g., Matplotlib, Seaborn, Plotly) · Data Modeling · Descriptive Statistics · Dashboard Creation 

Econometrics: Methods and Applications

Skills: Econometric Modeling · Statistical Analysis · Regression Techniques · Time Series Analysis · Hypothesis Testing · Data Preprocessing · Instrumental Variables · Panel Data Analysis · Econometric Software (e.g., R, Stata) 

Statistique Pour L'ingénieur

Skills: Statistique descriptive · Estimation de paramètres · Tests d'hypothèses · Analyse de variance (ANOVA) · Régression linéaire 

Introduction à la statistique avec R

Skills: Statistique descriptive · Analyse de données avec R · Régression linéaire · Tests d'hypothèses · Visualisation de données (ggplot2) · Statistique inférentielle · Modélisation statistique avec R · Analyse de variance (ANOVA) · Manipulation de données avec dplyr · Utilisation de packages R pour la statistique