SQL & Database Management

SQL & Database Management

Dr. Emily Carter

AI Research Scientist

Module 1: Data Analytics Foundations

  • What is Data Analytics?
  • Data Lifecycle: Collection → Cleaning → Analysis → Reporting
  • Types of Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
  • Industry Use Cases (HR, Sales, Finance, Marketing)

Module 2: Tools of a Data Analyst

  • Microsoft Excel (Functions, Pivot Tables, Lookups)
  • SQL (Joins, Aggregates, CTEs, Window Functions)
  • Power BI (Dashboards, DAX, Power Query)
  • Optional: Tableau Basics

Module 3: Data Visualization & Storytelling

  • Charts & Graphs Best Practices
  • KPI Dashboards
  • Visual Analytics using Power BI
  • Creating Analytical Reports for Management

Module 4: Data Cleaning & Preparation

  • Handling Missing, Duplicate & Inconsistent Data
  • Data Transformation in Power Query
  • Cleaning with Excel and SQL
  • Data Normalization & Structuring

Module 5: Generative AI for Analysts (Bonus)

  • Using ChatGPT & Copilot for:
  • Writing SQL queries
  • Data cleaning automation
  • Report generation
  • Insight summaries
  • Prompt Engineering for Analysts

$199

Join Class

Class Features

  • Comprehensive Analytics Training: Learn the full data lifecycle — from collection to cleaning, analysis, and reporting
  • Industry-Aligned Curriculum: Real-world use cases from HR, Sales, Finance, and Marketing
  • Data Storytelling Expertise: Build KPI dashboards, visual reports, and executive summaries that drive decisions
  • Generative AI for Analysts (Bonus): Use ChatGPT & Copilot to write queries, generate reports, and automate cleaning
  • Certification Provided: Get a verified certificate upon successful completion

FAQS

Frequently Asked Question

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.