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Pre-requisite: IT Professionals with Python Coding and SQL/Database Experience with Good Communication Skills.
Job Prospects: DATA ENGINEER / CLOUD DATA ENGINEER / PYTHON DEVELOPER / AUTOMATION ENGINEER / MACHINE LEARNING (ML) - ARTIFICIAL INTELLIGENCE (AI) ENGINEER.
MODULE-1: INTRODUCTION TO PYTHON
MODULE-2: VARIABLE AND DATA TYPES
MODULE-3: DATA STRUCTURES: LISTS & SETS
MODULE-4: DATA STRUCTURES: TUPLES & DICTIONARIES
MODULE-5: CONDITIONAL STATEMENTS AND LOOPS
MODULE-6: FUNCTIONS AND EXCEPTIONS HANDLING
MODULE-7: PROGRAMMING ALGORITHMS
MODULE-8: DATA ANALYSIS (NumPy and Pandas)
MODULE-9: DATA VISUALIZATION
MODULE-10: OBJECT-ORIENTED PROGRAMMING
MODULE-1: INTRODUCTION TO AMAZON WEB SERVICES (AWS)
MODULE-2: AWS SETUP, INSTALLATION AND CONFIGURATION
MODULE-1: INTRODUCTION TO DATA ENGINEERING
MODULE-2: RELATIONAL Vs NoSQL
MODULE-3: APPLICATION PROGRAMMING INTERFACE (API)
MODULE-4: APACHE SPARK
MODULE-5: PYSPARK
MODULE-6: APACHE KAFKA
@BI_Courses YouTube Videos
SQL and Databases
Power BI / Tableau BI
Agile Scrum Methodology
Certification in Python (Certified Associate/Professional Python Programmer from OpenEDG Python Institute)
Certification in AWS Data Engineer Associate
Certification in Microsoft Azure Data Engineer Associate or Microsoft Fabric Data Engineer
Certification in Google Professional Data Engineer