Data Analysis Course for Beginners SQL ,R, Excel [2025]

📘 Course Title: Data Analysis Course for Beginners: SQL, R, Excel [2024]

🚀 Headline: Master Data Analysis & Visualization with R and Excel, while becoming a pro at data manipulation using SQL in Oracle / MYSQL.

🎓 What You'll Learn:

• Lifetime Access to Course Materials 📚
  • Udemy offers a 30-day refund guarantee for all courses, ensuring your peace of mind while you dive into learning.
• Expert Instructor 👨‍💻
  • Taught by an instructor with over 15 years of experience in Data Science and Big Data.

🔍 Course Content & Projects:

• Transform from Beginner to Expert 🚀
  • A comprehensive curriculum designed to take you from the basics to advanced levels in SQL, Excel, and R programming.
• SQL Mastery 🗃️
  • Start using SQL queries in Oracle and MySQL databases, applying your learning to any kind of database scenario.
• Data Analysis Skills 📊
  • Conduct Exploratory Data Analysis (EDA) on various datasets to make meaningful business decisions.
• Advanced SQL Queries 🖥️
  • Learn to write simple to the most advanced SQL queries for effective data analysis.
• R and Python Integration 🔄
  • Integrate R with Oracle/MySQL databases and execute SQL commands directly within R or Python for enhanced data analysis and visualizations.
• Data Visualization Techniques 📈
  • Create insightful charts like bar charts and box plots using R to gain valuable insights from your data.
• Practical Data Analysis for Data Science Projects 🧠
  • Develop the art of data analysis and visualization tailored specifically for Data Science projects.
• Hands-On Practice 💻
  • Get hands-on experience with RDBMS databases, importing/exporting data from external files, and creating your own database directly on your laptop or desktop.

🌟 Real-World Case Studies:

• Bank Marketing Datasets (R)
• Credit Card Eligibility Analysis (R)
• Uber Demand Supply Gap Root Cause Analysis (R)
• Investment Case Studies (EXCEL)
• Telemarketing Datasets Acquisition Analytics (EXCEL)
• Market Fact Data Analysis (SQL)

🔍 Project Examples:

• Analyze the Bank Marketing dataset using R to understand customer behavior and potential eligibility for credit cards.
• Conduct a Root Cause Analysis of the Uber Demand Supply Gap to identify areas for improvement in service availability.
• Perform investment analytics with EXCEL to assist an Asset Management Company in understanding global trends and identifying top countries and investment types.
• Utilize EXCEL to analyze telemarketing datasets and determine which customers are most likely to buy future bank products through tele-channel.
• Execute SQL queries on market fact data to extract meaningful insights and inform business strategies.

🚀 Why Enroll? This course is designed for beginners who wish to become proficient in data analysis, data manipulation using SQL, and data visualization using R and Excel. With real-life case studies, hands-on projects, and a comprehensive curriculum, you'll gain the skills necessary to make informed business decisions and add valuable data analysis expertise to your resume.

📆 Enroll Now & Embark on Your Data Analysis Journey!