Data Analysis using Excel " Analysis and Visualization"

Àpd 29.7 C$ /h

module 1: Introduction to Data Analysis
Understanding Data Analysis: Purpose and Scope
Overview of Excel as a Data Analysis Tool
module 2:Introduction to Excel Interface and Tools
Data Entry and Formatting
Basic Formulas and Functions
SUM, AVERAGE, COUNT, etc.
Introduction to Cell Referencing (Relative, Absolute, Mixed)
Module 3:Data Cleaning and Preparation
Importing Data from Various Sources (CSV, Text, Databases)
Data Cleaning Techniques
Removing Duplicates
Handling Missing Data
Data Validation
Working with Text Functions
LEFT, RIGHT, MID, TRIM, CONCATENATE
Module 4: Data Analysis Tools in Excel
Sorting and Filtering Data
Conditional Formatting
Using PivotTables and Pivot Charts
Subtotals and Summarizing Data
Data Tables and Scenario Analysis
Practical Exercise: Analyzing Sales Data
Module 5: Advanced Functions and Formulas
Logical Functions
IF, AND, OR, NOT
Lookup Functions
VLOOKUP, HLOOKUP, INDEX, MATCH, XLOOKUP
Mathematical and Statistical Functions
ROUND, RANK, STDEV, MEDIAN
Array Formulas
Practical Exercise: Creating a Dynamic Dashboard
Module 6: Data Visualization
Principles of Data Visualization
Creating Charts and Graphs
Line, Bar, Pie, Scatter, Combo Charts
Formatting and Customizing Charts
Using Sparklines for Quick Insights

Lieu

En ligne depuis Égypte

Présentation

PHD in Statistics , Cairo university, Egypt.
More than 10 years of experience in teaching statistics and relevant subjects, such as Statistics and Probability, Data Analytics, Mathematics, Calculus, Regression Analysis, Linear Algebra, Non parametric Statistics, operation research, and Econometrics
Teaching and analyzing data using Excel, SPSS, Stata, Minitab and R-programming

Education

PHD in Statistics, Cairo university
Master degree in Statistics, Cairo University, Egypt
Bachelor degree in Statistics, minor computer science Cairo University, Egypt

Expérience / Qualifications

More than 10 years of experience in teaching statistics and relevant subjects, such as Statistics and Probability, Data Analytics, Mathematics, Calculus, Regression Analysis, Linear Algebra, Non parametric Statistics, operation research, and Econometrics
Teaching and analyzing data using Excel, SPSS, Stata, Minitab and R-programming.

Age

Adolescents (13-17 ans)

Adultes (18-64 ans)

Niveau du Cours

Débutant

Intermédiaire

Avancé

Durée

60 minutes

90 minutes

Enseigné en

anglais

arabe

Compétences

Microsoft excel

Disponibilité semaine type

(GMT -04:00)

New York

Cours par webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

استخدام برنامج SPSS في التحليل الإحصائي (مبتدئ - متقدم)

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Course Description
Running the Program
Browsing the SPSS menus
creating new file
opening existing file
importing data file
variable view
creating new variable
Types of variables
entering data
descriptive statistics
frequency tables
graphical presentation
confidence intervals for one population parameter and two population parameter
testing hypothesis for one population parameter and two population parameter
Analysis of Variance ANOVA
Regression Analysis

Data Analytics, Statistics, and Statistical Analysis

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Descriptive statistics
Types of variables
Frequency tables
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Display data in one variable
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Confidence intervals for one and two population parameters
Test hypothesis for one population parameter and two population parameters
Analysis of variance (ANOVA)
Correlation analysis
Regression analysis

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🎓 Formation Excel Avancé sur Mesure

📊 Analyse de données | 📈 Tableaux Croisés Dynamiques | 📉 Tableaux de bord

Vous souhaitez passer au niveau supérieur avec Excel et devenir autonome dans l’analyse de données ? 🚀

Cette formation Excel Avancé sur mesure est conçue pour vous permettre de maîtriser les outils essentiels d’aide à la décision en entreprise.

🎯 Objectifs de la formation

✔ Analyser efficacement de grandes bases de données
✔ Automatiser les traitements avec Excel
✔ Créer des Tableaux Croisés Dynamiques performants
✔ Concevoir des tableaux de bord professionnels et interactifs
✔ Prendre de meilleures décisions grâce à des indicateurs clairs

📚 Contenu de la formation

🔍 Module 1 : Analyse de données

Nettoyage et structuration des données
Fonctions avancées (SI, RECHERCHEX...)
Mise en forme conditionnelle
Outils d’analyse (segments, filtres avancés...)

📊 Module 2 : Tableaux Croisés Dynamiques (TCD)

Création et paramétrage des TCD
Calculs personnalisés (champs calculés)
Segments et chronologies
Analyse dynamique des données

📈 Module 3 : Tableaux de bord interactifs

Choix des bons indicateurs (KPI)
Création de graphiques dynamiques
Conception de dashboards professionnels
Interactivité avec segments et boutons

💡 Méthodologie

✔ Formation 100% pratique 🧑‍💻
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✔ Accompagnement personnalisé
✔ Fichiers Excel fournis

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👨‍💼 Professionnels (gestionnaires, commerciaux, analystes)
🎓 Étudiants et jeunes diplômés
🏢 Entreprises souhaitant former leurs équipes

📍 Format

✔ En ligne

🚀 Résultat

À la fin de cette formation, vous serez capable de :
👉 Transformer des données brutes en informations stratégiques
👉 Créer des tableaux de bord dignes des grandes entreprises