Data Engineering
Month 1: Introduction to Data Engineering
Month 3: Advanced SQL Techniques
Month 4: Principles of Relational Database Design
Month 5: Exploring Data Warehousing
Month 6: Understanding ETL Processes
Month 7: Exploring NoSQL Databases
Month 8: Python Programming for Data Manipulation
Month 9: Data Analysis using Pandas Library
Month 10: Data Visualization Techniques with Matplotlib and Seaborn
Month 11: Overview of Business Analytics
Month 12: Utilizing Excel for Business Analytics
Month 13: Data Visualization with Tableau
Month 14: Data Analysis Techniques using R
Month 15: Statistical Analysis in Business Context
Month 16: Advanced Business Analytics Techniques
Month 17: Exploring Data Mining Techniques
Month 18: Introduction to Big Data
Month 19: Working with Hadoop and MapReduce
Month 20: Utilizing Spark and Scala for Big Data Analysis
Month 21: Data Science and Machine Learning Fundamentals
Month 22: Predictive Analytics using Python
Month 23: Deep Learning Techniques with TensorFlow
Month 24: Advanced Topics in Machine Learning
Month 25: Managing Data Science Projects
Month 26: Introduction to Business Intelligence
Month 27: Working with SQL Server Integration Services
Month 28: Creating Reports with SQL Server Reporting Services
Month 29: Analyzing Data with SQL Server Analysis Services
Month 30: Working with Oracle Business Intelligence Tools
Month 31: Fundamentals of Web Analytics
Month 32: Utilizing Google Analytics
Month 33: Working with Adobe Analytics
Month 34: Data Visualization Techniques using D3.js
Month 36: Database Administration Fundamentals
Month 37: SQL Server Administration
Month 38: Oracle Database Administration
Month 39: MySQL Database Administration
Month 40: Cloud Database Management with AWS
Month 41: Cloud Database Management with Azure
Month 42: HL7 Integration and Health Data Analytics
Month 43: Data Security and Compliance
Month 44: Qualtrics and Clarabridge
Month 45: Raiser’s Edge for Fundraising Analytics
Month 46: Advantage Data Architect for Database Design