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      • Data Challenges
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  • Home
  • Blog
  • About
  • Learning Resources
    • Data Infographics
    • Data Paths
    • Programming Resources
    • Data Challenges
  • Contact Me
Data With Jesse

Unleashing Data's Potential!

Unleashing Data's Potential!Unleashing Data's Potential!

Programming Data Libraries

Useful Python Libraries

  •  Data Manipulation (Pandas)
  • Data Visualization (Matplotlib, Seaborn)
  • Statistical Analysis (Statsmodels)
  • Machine Learning (Scikit-learn)
  • Deep Learning (TensorFlow, PyTorch)
  • Natural Language Processing (NLTK, SpaCy)
  • Web Scraping (BeautifulSoup, Scrapy)
  • Big Data Processing (PySpark)
  • GUI Development (Tkinter)
  • Web Development (Django, Flask)
  • Database Interaction (SQLAlchemy, SQLite3)
  • Scientific Computing (Numpy, Scipy)
  • Image Processing (OpenCV, Pillow)
  • Game Development (Pygame)
  • Network Programming (Twisted, Requests)
  • Testing (Pytest, Unittest)
  • Scripting (os, sys, subprocess)

Useful R Libraries

  •  Data Manipulation (dplyr)
  • Data Visualization (ggplot2)
  • Statistical Analysis (stats)
  • Machine Learning (caret)
  • Deep Learning (keras)
  • Natural Language Processing (text)
  • Web Scraping (rvest)
  • Big Data Processing (SparkR)
  • GUI Development (shiny)
  • Web Development (shiny)
  • Database Interaction (DBI)
  • Scientific Computing (base)
  • Image Processing (imager)
  • Game Development (game)
  • Network Programming (httr)
  • Testing (testthat)
  • Scripting (base)

Useful Java Libraries

  • Data Manipulation: Tablesaw
  • Data Visualization: XChart
  • Machine Learning: Weka, Deeplearning4j
  • Big Data Processing: Apache Hadoop, Apache Spark
  • Database Interaction: JDBC
  • Scientific Computing: ND4J
  • Web Development: Spring Boot

Useful Scala Libraries

  • Data Manipulation: Breeze
  • Data Visualization: Vegas
  • Machine Learning: Spark MLlib
  • Big Data Processing: Apache Spark
  • Database Interaction: Slick
  • Scientific Computing: Breeze
  • Web Development: Play Framework

Learning Resources

Coursera

 Coursera offers a wide range of courses and certifications in data analysis and data engineering from top universities and companies. It's a great resource for both beginners and experienced professionals.  Link 

edX

 edX provides online courses from the world's best universities and institutions. It has a variety of courses on data analysis and data engineering.  Link 

DataCamp

 DataCamp offers interactive R, Python, Sheets, SQL and shell courses. It's a great resource for learning data science and data engineering.  Link 

Google Cloud Certified

 Google offers a Data Engineer certification which can demonstrate your proficiency in using Google Cloud technology to build and maintain data structures and databases.  Link 

AWS Certified Big Data

 This certification validates your knowledge of big data and how to implement AWS services to derive value from data. It's a great certification for data engineers.  Link 

Tableau Public

 Tableau Public is a free service that lets anyone publish interactive data visualizations to the web. It's a great resource for data analysts to showcase their work and learn from others.  Link 

HelpFUL DataSET RESOURCES

UCI Machine Learning Repository

 A collection of databases, domain theories, and data generators used by the machine learning community. Link 

Kaggle Datasets

 A platform for predictive modelling and analytics competitions where you can find a wide range of datasets. Link 

Google's Dataset Search

 A tool that enables the search of many datasets across the internet. Link 

Data.gov

 The home of the U.S. Government's open data. Link 

Awesome Public Datasets on Github

 A collection of data about development in countries around the globe. Link 

Quandl

  A platform that offers millions of financial and economic datasets. Link 


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