Metadata-Version: 2.1
Name: dataidea-science
Version: 0.0.1
Summary: Programming for Data Science
Home-page: https://github.com/dataideaorg/dataidea-science
Author: jumashafara
Author-email: jumashafara0@gmail.com
License: Apache Software License 2.0
Keywords: nbdev jupyter notebook python
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: matplotlib
Provides-Extra: dev

# Welcome to DATAIDEA

Juma Shafara
2023-11-01

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

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

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

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<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.
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<h2 class="text-center mb-2">
What You Will Learn
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<a href="https://science.dataidea.org/Python/00_outline.html" class="mx-2 text-decoration-none">

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

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

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

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Python Data Analysis
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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>

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</a>

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

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

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<h5 class="card-title fw-bold text-decoration-underline">
Machine Learning (Python)
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Discover the principles of machine learning and gain hands-on experience
in building and optimizing models
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<a href="https://science.dataidea.org/Pytorch-Deep-Learning/outline.html" class="mx-2 text-decoration-none">

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

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PyTorch Deep Learning
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Dive deep into neural networks and learn to build advanced models using
PyTorch <i class="bi bi-box-arrow-up-right"></i>
</p>

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<h2 class="text-center">
Why Choose This Course?
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<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>
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<strong>Flexible Learning Path:</strong> Choose to follow the entire
course or focus on specific modules that meet your individual learning
goals.
</li>
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<strong>Expert Guidance:</strong> Gain insights from industry
professionals who are passionate about data science and dedicated to
your success.
</li>
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<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.
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</section>
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<h4>
<i class="bi bi-info-circle-fill"></i> Don’t Miss Any Updates!
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<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>

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<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.
