Learn with Bhetey

Introduction to Programming

Data Science Fundamentals Specialisation.

This course for the those who are new to Data Science. The lessons on this course has been designed to help you get up to speed in the world of data. Whether you want to be a Data Analyst, Data Scientist, Machine Learning Engineer, AI Engineer, this is the course for you.

Table of Content.

• Data Science Overview
• Understanding the misconception between ML, DL & AL
• What you will learn & what you will not learn right now.
• Overview of Python (why we use python, its history, and its transition till now)
  • Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.
• What is JupyterNotebook for Data Science.
• How to install Python for Windows (version 2 or 3)
• How to install Python for Mac (version 2 or 3)
• How to install JupyterNotebook using Anaconda
• Why Python ?
  • few things to keep in mind :
    • it is case sensitive (helloworld is not the same as HelloWorld)
    • spacing is essentials.
    • use error messages to your advantage.
• Data Types & Operators
  • You'll learn about:
    • Integers, Floats, Booleans, Strings
    • Operators: Arithmetic, Assignment, Comparison Logical
    • Mathematical Order of Operations
    • Built-In Functions, Type Conversion
    • Whitespace and Style Guidelines
• Introduction to DataFrames and Data Series
• Data Analysis Process

If you have questions about my approach, please feel free to contact me Email Me.