Advanced Excel for Analytics & Reporting

Syllabus

Le prix initial était : $6,500.00.Le prix actuel est : $5,000.00.

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1️⃣ Overview

The DataLunch Data Analyst Bootcamp is a comprehensive, hands-on training program designed to transform beginners and early-career professionals into job-ready data analysts.

Over 12 intensive weeks, participants master:

  • SQL for data extraction and querying
  • Power BI for business intelligence and dashboards
  • Python for data analysis and automation
  • End-to-end analytics workflows
  • Real-world data projects

This bootcamp focuses on applied learning — not theory alone. Every concept is reinforced through practical datasets, business case studies, and capstone-level deliverables.

2️⃣ Who This Bootcamp Is For

This program is ideal for:

  • Career changers entering data analytics
  • Business professionals seeking technical upskilling
  • Finance, operations, and marketing analysts
  • Recent graduates pursuing analytics careers
  • Entrepreneurs who want to make data-driven decisions
  • Professionals preparing for data-focused roles

No advanced technical background required — structured progression is built into the program.

3️⃣ What You Will Learn

The bootcamp progresses in three major phases:

🔷 Phase 1 — SQL for Data Analysis (Weeks 1–4)

Core Skills Covered

  • SQL fundamentals and relational databases
  • SELECT, WHERE, GROUP BY, ORDER BY
  • Joins (Inner, Outer, Cross)
  • Subqueries and CTEs
  • Window functions
  • Data aggregation and KPI calculation
  • Query performance and optimization
  • Indexing and execution plans

Business Applications

  • Extracting business data from structured databases
  • Cleaning and transforming datasets
  • Creating analytical summaries directly in SQL
  • Building efficient production-level queries

🔷 Phase 2 — Power BI for Business Intelligence (Weeks 5–8)

Core Skills Covered

  • Data connections (Excel, SQL, APIs)
  • Data modeling and relationships
  • Power Query (data transformation)
  • DAX fundamentals and advanced measures
  • Time intelligence calculations
  • Dashboard design principles
  • Advanced visualizations
  • Publishing and sharing reports

Business Applications

  • Building executive dashboards
  • Creating KPI tracking systems
  • Designing interactive reports
  • Forecasting and trend analysis

🔷 Phase 3 — Python for Data Analytics (Weeks 9–12)

Core Skills Covered

  • Python fundamentals for analytics
  • Pandas for data manipulation
  • NumPy for numerical computing
  • Data cleaning and transformation
  • Exploratory Data Analysis (EDA)
  • Data visualization (Matplotlib / Seaborn)
  • Automation scripts
  • Introduction to analytical modeling

Business Applications

  • Cleaning messy real-world datasets
  • Performing advanced data exploration
  • Automating repetitive data tasks
  • Building analytical workflows

Course Outcomes

By the end of the bootcamp, participants will:

  • Extract and manipulate data using SQL
  • Build enterprise-grade dashboards in Power BI
  • Analyze and transform data using Python
  • Apply data analytics frameworks to business problems
  • Design and present executive-ready insights
  • Build a professional analytics portfolio

Graduates leave with job-ready technical and analytical skills.