dataidea-science


Namedataidea-science JSON
Version 0.0.1 PyPI version JSON
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home_pagehttps://github.com/dataideaorg/dataidea-science
SummaryProgramming for Data Science
upload_time2024-09-13 12:08:52
maintainerNone
docs_urlNone
authorjumashafara
requires_python>=3.7
licenseApache Software License 2.0
keywords nbdev jupyter notebook python
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requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Welcome to DATAIDEA

Juma Shafara
2023-11-01

<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
<!-- Introduction Section -->
<section class="py-2 pt-0">
<hr/>

<div class="container">

<h1 class="text-center border-bottom-1">
Programming for Data Science
</h1>
<p class="text-center">
A comprehensive and dynamic course designed to equip you with the skills
to thrive in data science.
</p>

<div class="row">

<div class="col-md-6">

<img src="./assets/data_science.jpg" alt="Data Science Overview" class="img-fluid">

</div>

<div class="col-md-6">

<p>
This subject offers a structured path to mastering the tools and
techniques that drive data-driven decision-making in today’s industries.
Whether you are a beginner looking to start your journey or an
experienced professional aiming to deepen your expertise, this course
has something for everyone.
</p>

</div>

</div>

</div>

</section>
<!-- Course Modules Section -->
<section class="pt-2" style="background: #f3f4f7;">

<div class="container">

<h2 class="text-center mb-2">
What You Will Learn
</h2>

<div class="d-md-flex">

<a href="https://science.dataidea.org/Python/00_outline.html" class="mx-2 text-decoration-none">

<div class="card mb-4">

<img src="./assets/python_programming.jpg" class="card-img-top" alt="Python Programming">

<div class="card-body">

<h5 class="card-title fw-bold text-decoration-underline">
Python Programming
</h5>
<p class="card-text">
Start with the basics of Python, a versatile and powerful programming
language. This course lays the foundation for your data science journey
<i class="bi bi-box-arrow-up-right"></i>
</p>

</div>

</div>

</a>
<a href="https://science.dataidea.org/Python-Data-Analysis/outline.html" class="mx-2 text-decoration-none">

<div class="card mb-4">

<img src="./assets/python_data_analysis.jpg" class="card-img-top" alt="Data Analysis">

<div class="card-body">

<h5 class="card-title fw-bold text-decoration-underline">
Python Data Analysis
</h5>
<p class="card-text">
Explore data analysis using libraries like Pandas, NumPy, and
Matplotlib. Learn to transform raw data into actionable insights
<i class="bi bi-box-arrow-up-right"></i>
</p>

</div>

</div>

</a>

</div>

<div class="d-md-flex">

<a href="https://science.dataidea.org/Python-Data-Analysis/Week4-ML-Intro/41_overview_of_machine_learning.html" class="mx-2 text-decoration-none">

<div class="card mb-4">

<img src="./assets/python_machine_learning.jpg" class="card-img-top" alt="Machine Learning">

<div class="card-body">

<h5 class="card-title fw-bold text-decoration-underline">
Machine Learning (Python)
</h5>
<p class="card-text">
Discover the principles of machine learning and gain hands-on experience
in building and optimizing models
<i class="bi bi-box-arrow-up-right"></i>
</p>

</div>

</div>

</a>
<a href="https://science.dataidea.org/Pytorch-Deep-Learning/outline.html" class="mx-2 text-decoration-none">

<div class="card mb-4">

<img src="./assets/pytorch_deep_learning.jpg" class="card-img-top" alt="Deep Learning with PyTorch">

<div class="card-body">

<h5 class="card-title fw-bold text-decoration-underline">
PyTorch Deep Learning
</h5>
<p class="card-text">
Dive deep into neural networks and learn to build advanced models using
PyTorch <i class="bi bi-box-arrow-up-right"></i>
</p>

</div>

</div>

</a>

</div>

</div>

</section>
<!-- Why Choose Us Section -->
<section class="pt-2 pb-4">

<div class="container">

<h2 class="text-center">
Why Choose This Course?
</h2>
<ul class="list-group list-group-flush">
<li class="list-group-item">
<strong>Hands-On Learning:</strong> Each module is designed with
practical exercises and real-world projects to ensure you can apply what
you’ve learned.
</li>
<li class="list-group-item">
<strong>Flexible Learning Path:</strong> Choose to follow the entire
course or focus on specific modules that meet your individual learning
goals.
</li>
<li class="list-group-item">
<strong>Expert Guidance:</strong> Gain insights from industry
professionals who are passionate about data science and dedicated to
your success.
</li>
<li class="list-group-item">
<strong>Career-Ready Skills:</strong> By the end of this course, you’ll
be ready to tackle data science challenges, whether you’re transitioning
careers or enhancing your current role.
</li>
</ul>

</div>

</section>
<!-- Newsletter -->

<div class="newsletter">

<div class="newsletter-heading">

<h4>
<i class="bi bi-info-circle-fill"></i> Don’t Miss Any Updates!
</h4>

</div>

<div class="newsletter-body">

<p>
Before we continue, we have a humble request, to be among the first to
hear about future updates of the course materials, simply enter your
email below, follow us on
<a href="https://x.com/dataideaorg"><i class="bi bi-twitter-x"></i>
(formally Twitter)</a>, or subscribe to our
<a href="https://www.youtube.com/@dataidea-science"><i class="bi bi-youtube"></i>
YouTube channel</a>.
</p>
<iframe class="newsletter-frame" src="https://embeds.beehiiv.com/5fc7c425-9c7e-4e08-a514-ad6c22beee74?slim=true" data-test-id="beehiiv-embed" height="52" frameborder="0" scrolling="no">
</iframe>

</div>

</div>

<h2>
About the Author:
</h2>

Hi, My name is Juma Shafara. Am a Data Scientist and Instructor at
DATAIDEA. I have taught hundreds of peope Programming, Data Analysis and
Machine Learning. I also enjoy developing innovative algorithms and
models that can drive insights and value. I regularly share some content
that I find useful throughout my learning/teaching journey to simplify
concepts in Machine Learning, Mathematics, Programming, and related
topics on my website
[jumashafara.dataidea.org](https://jumashafara.dataidea.org). Besides
these //technical stuff, I enjoy watching soccer, movies and reading
mystery books.

            

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DO NOT EDIT! -->\n<!-- Introduction Section -->\n<section class=\"py-2 pt-0\">\n<hr/>\n\n<div class=\"container\">\n\n<h1 class=\"text-center border-bottom-1\">\nProgramming for Data Science\n</h1>\n<p class=\"text-center\">\nA comprehensive and dynamic course designed to equip you with the skills\nto thrive in data science.\n</p>\n\n<div class=\"row\">\n\n<div class=\"col-md-6\">\n\n<img src=\"./assets/data_science.jpg\" alt=\"Data Science Overview\" class=\"img-fluid\">\n\n</div>\n\n<div class=\"col-md-6\">\n\n<p>\nThis subject offers a structured path to mastering the tools and\ntechniques that drive data-driven decision-making in today\u2019s industries.\nWhether you are a beginner looking to start your journey or an\nexperienced professional aiming to deepen your expertise, this course\nhas something for everyone.\n</p>\n\n</div>\n\n</div>\n\n</div>\n\n</section>\n<!-- Course Modules Section -->\n<section class=\"pt-2\" style=\"background: #f3f4f7;\">\n\n<div class=\"container\">\n\n<h2 class=\"text-center mb-2\">\nWhat You Will Learn\n</h2>\n\n<div class=\"d-md-flex\">\n\n<a href=\"https://science.dataidea.org/Python/00_outline.html\" class=\"mx-2 text-decoration-none\">\n\n<div class=\"card mb-4\">\n\n<img src=\"./assets/python_programming.jpg\" class=\"card-img-top\" alt=\"Python Programming\">\n\n<div class=\"card-body\">\n\n<h5 class=\"card-title fw-bold text-decoration-underline\">\nPython Programming\n</h5>\n<p class=\"card-text\">\nStart with the basics of Python, a versatile and powerful programming\nlanguage. This course lays the foundation for your data science journey\n<i class=\"bi bi-box-arrow-up-right\"></i>\n</p>\n\n</div>\n\n</div>\n\n</a>\n<a href=\"https://science.dataidea.org/Python-Data-Analysis/outline.html\" class=\"mx-2 text-decoration-none\">\n\n<div class=\"card mb-4\">\n\n<img src=\"./assets/python_data_analysis.jpg\" class=\"card-img-top\" alt=\"Data Analysis\">\n\n<div class=\"card-body\">\n\n<h5 class=\"card-title fw-bold text-decoration-underline\">\nPython Data Analysis\n</h5>\n<p class=\"card-text\">\nExplore data analysis using libraries like Pandas, NumPy, and\nMatplotlib. 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