Bootcamp Analyste d'Affaires : Excel, Statistiques, SQL, Tableau

Aperçu

30+ Data Analysis, Business Intelligence, and Decision Making Exercises for Agile Business Analytics What you'll learn:

Excel:

Mine data and generate actionable insights with Pivot Tables, Lookup Functions, Index/Match, and GraphsExcel:

Create machine learning model and make predictions with Analysis ToolpakSQL:

Understanding the data life cycle and how data moves from a pipeline into a data warehouse/lakeSQL:

Query, clean, and prepare data for analysis and real-time reportingTableau:

Create visualizations and dashboards to communicate data insightsTableau:

Storytelling technical information to executives and business stakeholders Welcome to my Business Analytics/Intelligence course with over 30+ practical examples! With the meteoric rise of AI-based technologies, the world of work is changing once again to demand data-driven decisions as industries scramble to become agile and augment with new technology.

In this course, I will teach you ALL of the necessary skills using free tools such as Google Sheets (Excel, Analysis ToolPak), MySQL, and Tableau (trial)! This is an introductory self-paced course with an MBA-level curriculum tailored to suit students from all backgrounds!

Whether you're currently a student preparing for the job market, a seasoned professional looking to up-skill / pivot, or a business owner looking to accelerate your growth, you will finish this course with a fundamentally different understanding of how the world operates today. Our course will consist of theoretical videos, hands-on tutorials where we work through short assignments together, and mock cases to dive into a wide range of topics, including data pipelines, intro/advanced spreadsheets functions + tools, descriptive/inferential statistics, machine learning, time series, SQL, visualization, and nontechnical skills.I will be constantly updating this course with industry breakthroughs regularly, and adjusting materials based on student feedback to provide an optimized learning experience.

By the end of this course, you'll have a comprehensive understanding of Business Analytics and how to use various tools and techniques to analyze data and make informed business decisions.So, what exactly will you be learning? Here's a brief breakdown of the course units:

Introduction:

Welcome to the course where you'll learn about how agile and AI-powered workflows enable the modern agile business analyst.Data Pipeline:

You'll learn about big data and how data is collected, stored, and organized.

Spreadsheets & Descriptive Statistics:

You'll explore spreadsheets and descriptive statistics, understanding normal distributions and relationships between data points. Probability:

You'll study random variables and probability distributions, calculating statistics and making decisions.

Inferential Statistics:

You'll dive into inferential statistics, learning about hypothesis testing and decision making based on expected value. Machine Learning 1:

You'll be introduced to machine learning and artificial intelligence, including linear and non-linear regressions.

Time Series:

You'll forecast with time series and predict future events. Machine Learning 2:

You'll learn about classification, clustering, and reinforcement learning.

SQL:

You'll understand databases, reading, changing and working with multiple tables. Visualization & Presentation:

You'll study business intelligence, creating visualizations (Tableau) and presenting data effectively.

Non-Technical Skills:

You'll evaluate businesses and work within teams, prioritizing projects and understanding KPIs.Conclusion:

Quick wrap up of everything that you have learnedAre you ready to dive into the world of Business Analytics? Let's get started!Shoutout to Mike Yang for dev reviews

Programme

• Introduction à l'Analyse Commerciale
Aperçu de l'Analyse et de l'Intelligence Commerciales
Rôle d'un Analyste Commercial
Objectifs et structure du cours
• Excel pour l'Analyse Commerciale
Introduction à Excel pour l'analyse de données
Manipulation et nettoyage des données
Formules, fonctions et tableaux croisés dynamiques
Visualisation des données avec des graphiques et des diagrammes
Exemples pratiques dans Excel
• Statistiques pour l'Analyse Commerciale
Statistiques descriptives
Probabilités et distributions
Statistiques inférentielles
Test d'hypothèse
Applications pratiques de l'analyse statistique
• SQL pour les Analystes Commerciaux
Introduction au SQL et aux bases de données
Rédaction de requêtes SQL basiques
Sujets avancés en SQL : jointures, sous-requêtes et fonctions
Agrégation et regroupement de données
Exemples pratiques en utilisant SQL
• Visualisation des Données avec Tableau
Introduction à l'interface Tableau
Connecter aux sources de données et préparation des données
Création de visualisations basiques et avancées
Tableaux de bord et narration avec les données
Exemples pratiques dans Tableau
• Intégration d'Outils pour des Insights Commerciaux
Combinaison d'Excel, SQL et Tableau dans l'analyse
Automatisation des flux de travail et des tâches répétitives
Projets et études de cas en analytique réelle
• Projet de Synthèse
Problème commercial réel
Utilisation des compétences acquises en Excel, SQL et Tableau
Présentation du projet et revue par les pairs
• Conclusion et Prochaines Étapes
Réflexions finales et conclusions
Opportunités de carrière et formation continue
Ressources pour approfondir les connaissances en analyse commerciale

---

Enseigné par

Leo Zhu

---

Matières

Business