Best of Data Science — March 2024

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   Article

   DEV·2y

   Computer Science fundamentals are still important.

   Learning Computer Science fundamentals can boost your career by helping you understand unfamiliar systems quickly, solve challenging problems, and perform better in coding interviews.

   265

   5
2. 2
   Video

   Fireship·2y

   Nvidia CUDA in 100 Seconds

   CUDA is a parallel computing platform developed by Nvidia in 2007. It allows users to harness the power of GPUs for tasks like deep learning. This post explains how CUDA works and provides a guide on building a CUDA application.

   67
3. 3
   Article

   gitconnected·2y

   Monte Carlo Simulation in Python: Advanced Investment Risk Analysis

   Monte Carlo Simulation is a computational algorithm that utilizes repeated random sampling to obtain numerical results. It is used in finance to model scenarios that involve uncertainty and predict the impact of risk. The simulation for stocks and cryptocurrencies involves historical data analysis, random sample generation, price simulation, and result analysis. The accuracy of the simulation depends on the assumptions made about return distributions and volatility.

   60
4. 4
   Article

   KDnuggets·2y

   Build An AI Application with Python in 10 Easy Steps

   Learn the 10 easy steps to build an AI application with Python, including defining objectives, collecting data, data preparation, selecting a model, training the model, evaluating model performance, iterating and optimizing, creating a web application, deploying to the cloud, and sharing the AI model.

   54

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5. 5
   Article

   KDnuggets·2y

   Mastering Python for Data Science: Beyond the Basics

   Learn advanced Python techniques for data science, including efficient data manipulation with Pandas, high-performance computing with NumPy, and leveraging niche libraries for elevated data analysis.

   37
6. 6
   Article

   freeCodeCamp·2y

   Intro to Stacks – Data Structure and Algorithm Tutorial

   Learn about the stack data structure, its implementation and use cases, and ace your interviews with stack-related questions. Watch the full course on the freeCodeCamp.org YouTube channel.

   36
7. 7
   Article

   DEV·2y

   31 Women in Tech Content Creators to Follow Now

   Discover 31 women content creators in tech across various categories like livestreaming, web dev tutorials, technical writing, devrel, data science, accessibility, design and dev, general dev/tech and career, open source, cloud/devops, and gaming.

   33

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8. 8
   Article

   KDnuggets·2y

   5 Free Books to Master Statistics for Data Science

   A list of 5 free books to master statistics for data science, covering topics such as sampling, probability, regression, and Bayesian methods.

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9. 9
   Article

   KDnuggets·2y

   A Free Data Science Learning Roadmap: For All Levels with IBM

   Learn data science according to your expertise with 4 different learning roadmaps. Start from the introduction level and progress to advanced data science courses.

   31
10. 10
    Article

    freeCodeCamp·2y

    Unlock the Power of Data Analytics with Free Google Services

    Learn data analytics using free Google services like Google Sheets, Google BigQuery, Google Colab, and Google Looker Studio for data visualization.

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11. 11
    Article

    TigerData (Creators of TimescaleDB)·2y

    Guide to Time-Series Analysis in Python

    Learn how Python can be used for time-series analysis, including loading and analyzing time-series data, plotting with Pyplot, and handling challenges of working with large datasets. Explore the advantages of Python, such as its simplicity, extensive library support, and code reusability. Discover specialized libraries like pandas, Matplotlib, tsfresh, and more for advanced time-series tasks. Gain insights into data cleaning, trend analysis, seasonality detection, forecasting models, and feature extraction for machine learning or deep learning algorithms.

    23

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    Article

    Medium·2y

    I Built an Algorithmic Trading System in Rust. Here’s What I Regret.

    The author built an algorithmic trading system in Rust to improve performance but faced challenges due to the language's complexity. Despite the difficulties, Rust provided significant performance enhancements and support for computationally expensive algorithms.

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    Article

    KDnuggets·2y

    Top Free Data Science Online Courses for 2024

    Discover top free data science online courses for 2024 and build skills in different aspects of data science, including programming with Python or R, statistics, data analytics, and machine learning.

    22

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14. 14
    Article

    gitconnected·2y

    SQL Series: Preparing a Database Step by Step

    This post discusses the process of preparing a database step by step for SQL learning, using a dataset related to sanitary inspections on cruise ships. It provides an overview of the dataset, instructions for creating a schema in MySQL Workbench, and guidance on loading data into the database.

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    Article

    KDnuggets·2y

    Collection of Guides on Mastering SQL, Python, Data Cleaning, Data Wrangling, and Exploratory Data Analysis

    Collection of guides for mastering SQL, Python, data cleaning, data wrangling, and exploratory data analysis. Start with SQL, then move on to Python and essential techniques like data cleaning. Gain expertise in data wrangling and master exploratory data analysis to uncover insights.

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    Article

    Hacker News·2y

    Stylized image binning algorithm

    Learn how to create stylized, pixel-art-like images using a binning algorithm in Javascript and the <canvas> element. The algorithm allows for the creation of stylized pixel-art imagery from an uploaded photo or graphic by dividing the input picture into bins and placing black squares within each bin based on the average brightness of the pixels.

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    Article

    Medium·2y

    What I Learned in my First 3 Months as a Freelance Data Scientist

    Learn about the benefits of working as a freelancer, financial planning and business setup considerations, and the importance of networking.

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    Article

    KDnuggets·2y

    7 GPTs to Help Improve Your Data Science Workflow

    Discover 7 custom GPTs from the GPT store that can enhance your data science workflow. These GPTs include a data analyst, machine learning assistant, machine learning engineer, code expert, research paper finder, diagram creator, and design assistant.

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    Article

    Community Picks·2y

    Designing Machine Learning Workflow

    This post explores the fundamental steps and considerations involved in designing machine learning workflows in Python using libraries such as NumPy, Pandas, Scikit-Learn, TensorFlow, and PyTorch.

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20. 20
    Article

    KDnuggets·2y

    Boost Your Data Science Skills: The Essential SQL Certifications You Need

    Learn about essential SQL certifications for data scientists to boost their skills and improve job prospects.

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21. 21
    Article

    KDnuggets·2y

    Getting Started With Go Programing For Data Science

    Learn how to perform data analysis, data visualization, and model training in GoLang, just like Python.

    13

    1
22. 22
    Article

    Watercooler·2y

    Navigating the AI Revolution: The Rise of Devin and the Future of Coding Jobs

    The rise of AI, specifically Devin, could lead to significant changes in the job market, including job displacement and creation of new opportunities for software developers.

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    Article

    KDnuggets·2y

    4 Certifications to Become Job-Ready in 30 Days

    Learn about the 4 certifications that can make you job-ready in 30 days, including Data Analyst Certification, Data Scientist Certification, Data Engineer Certification, and SQL Associate Certification.

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    Article

    KDnuggets·2y

    Master Data Science in a Year: The Ultimate Guide to Affordable, Self-Paced Learning

    Learn data science through affordable and self-paced online courses. Complete courses in data analytics, data science, machine learning, and deep learning. Build practical skills and create a portfolio of data projects.

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    Article

    KDnuggets·2y

    5 Essential Skills Every Data Scientist Needs in 2024

    This post discusses five essential skills that every data scientist needs in 2024, including cloud computing, MLOps, big data technologies, domain expertise, and ethics and data privacy.

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