Diploma In Python Programming

Syllabus

Python Basics: Introduction, setting up python, your first python program, strings and strings method, numbers and math, functions and loops, finding and fixing code bugs, conditional logic and control law, tuples, lists and dictionaries, objected-oriented programming (OOP), modules and packages, file input and output, installing package with pip, creating and  modifying pdf files, working with database, interacting with the web.

 Python Data Types: Data Types in Python, Python Data Type Numeric, Python data type string, Python data type list, Python tuple, python set, python dictionary.

 Data Science Fundamentals with Python Specialization and SQL: Introduction fundamental python libraries for data scientists, machine learning in python, python data analysis library, data science ecosystem installation, integrated development environments (IDE), web integrated development environment (WIDE),        ,

 Applied Data Science with Python: Python installation, string operation, data structure in python, control loop & statements in python, Data Science & Machine Learning, Benefits & Uses of Data Science, Facet of Data, Data Science Process, handling large data on single computer.

 Python for Data Science, AI & Development: Introduction to artificial intelligence, fundamental use cases for artificial intelligence, machine learning pipelines, feature selection and feature engineering, classification and regression using,  predictive analytics with ensemble learning, detecting patterns with unsupervised learning, building recommender system, logic programming, heuristic search techniques, genetic algorithms and genetic programming.

Python Programming: Installing python, idle, a first program, typing things in, getting input, Printing, variables, for loops, the loop variable, numbers, math operators, random numbers, If statements, simple debugging, strings, more with lists, while loops.