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Whether you want to be a `Data Analyst, Data Scientist, Machine Learning Engineer, AI Engineer`, this is the course for you.\n\n## Table of Content.\n\n- Data Science Overview\n- Understanding the misconception between **`ML, DL \u0026 AL`**\n- What you will learn \u0026 what you will not learn right now.\n- Overview of Python (_why we use python, its history, and its transition till now_)\n  - [`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.`](\u003chttps://en.wikipedia.org/wiki/Python_(programming_language)\u003e)\n- What is JupyterNotebook for Data Science.\n- How to install Python for Windows (_version 2 or 3_)\n- How to install Python for Mac (_version 2 or 3_)\n- How to install JupyterNotebook using Anaconda\n- Why Python ?\n  - few things to keep in mind :\n    - it is case sensitive (`helloworld` is not the same as `HelloWorld`)\n    - spacing is essentials.\n    - use error messages to your advantage.\n- Data Types \u0026 Operators\n  - You'll learn about:\n    - Integers, Floats, Booleans, Strings\n    - Operators: Arithmetic, Assignment, Comparison Logical\n    - [Mathematical Order of Operations](http://mathforum.org/dr.math/faq/faq.order.operations.html)\n    - Built-In Functions, Type Conversion\n    - Whitespace and Style Guidelines\n- Introduction to DataFrames and Data Series\n- Data Analysis Process\n\nIf you have questions about my approach, please feel free to contact me [Email Me.](mailto:omifaredammy@gmail.com)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdamisparks%2Fbecome_data_analyst","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdamisparks%2Fbecome_data_analyst","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdamisparks%2Fbecome_data_analyst/lists"}