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Nov 13, 2024 | 
nathanrosidi.medium.com | Nathan Rosidi
Nathan Rosidi·Follow6 min read·--What tools does a full-stack data scientist need? In the article, we answer this question by discussing six types of tools you should have in your toolkit. Image by the authorIn this article, we’ll delve into the full-stack data scientist toolkit. These are all tools that enable data scientists to transform raw data into actionable insights. A full-stack data scientist needs these types of tools. Databases are a cornerstone of data science.
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Nov 10, 2024 | 
blog.stackademic.com | Nathan Rosidi
Business intelligence and business analytics; so similar yet so different. Here’s an article about their differences and how they complement each other. Is there a difference between business analytics (BA) and business intelligence (BI)? Yes. Otherwise, I wouldn’t spend writing more than a 3,000-word article when I could simply say: No!Truth be told, some use business analytics and business intelligence interchangeably.
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Nov 6, 2024 | 
nathanrosidi.medium.com | Nathan Rosidi
Nathan Rosidi·Follow17 min read·--Junior data analysts are the first stepping stone in your data analysis career. Learn everything about the skills you need and your (possible) career path. Image by the AuthorData analytics offers plenty of opportunities if you have a knack for numbers. Uncovering insights from data makes you slightly aroused? No need to be ashamed of that; we all have our kinks. Generally, data analytics is seen as an entry field for data science.
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Oct 23, 2024 | 
nathanrosidi.medium.com | Nathan Rosidi
Nathan Rosidi·Follow10 min read·--An entry-level data analyst gathers, processes, and analyzes data, utilizing statistical tools and visualization techniques to provide actionable insights and support business decisions. Image by the AuthorOver 2.5 quintillion bytes of data are generated daily, and the need for data analytics professionals is only increasing. This information alone explains the importance of knowing precisely what an entry-level data analyst does today.
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Oct 6, 2024 | 
blog.stackademic.com | Nathan Rosidi
What is SELECT UNIQUE in SQL? What about SELECT DISTINCT? How do you retrieve unique data? We will answer these three and more questions in this article. Databases contain a lot of data, but this data is not necessarily unique. With so many rows of data being stored, it’s realistic to expect that some of that data will have the same values in the columns as some other data-in short, duplicate values.
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Aug 2, 2024 | 
nathanrosidi.medium.com | Nathan Rosidi
If machine learning is all about models making predictions and decisions without being explicitly programmed to perform a task, who are then machine learning engineers? People who explicitly don't program things that then magically work? Yeah, it does sound other-worldly. But it's not. There's no magic, just complex skills, plenty of learning, and diverse job responsibilities - very earthly things!Let's then - excuse my pun - unearth them better to understand the role of a machine learning engineer.
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Jul 2, 2024 | 
blog.stackademic.com | Nathan Rosidi
MLOps stands as a bridge between machine learning models and real-world applications for seamless AI integration and innovation. In an era where AI is integrated with every aspect of our lives, a small team in Silicon Valley stumbled upon a breakthrough that could change how we interact with machine learning. By shedding light into the depths of MLOps, we discover its role in bridging the gap between machine learning models and real-world applications.
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Jul 1, 2024 | 
nathanrosidi.medium.com | Nathan Rosidi
# Load the wine dataset wine = load_wine() X_wine = wine.data y_wine_quality = wine.target # For classification # For simplicity in regression, let's predict the total phenols (a continuous feature) from the wine dataset # This is just for demonstration and not a standard practice X_wine_regression = StandardScaler().fit_transform(X_wine) # Standardize for neural network efficiency y_wine_phenols = X_wine[:, wine.feature_names.index('total_phenols')] # Selecting a continuous feature # Split...
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Jun 12, 2024 | 
levelup.gitconnected.com | Nathan Rosidi
Master the integration of Python and SQL to create robust, efficient data solutions. Source: Image by the Author "Data is the new oil." - Clive Humby. Python and SQL are essential to refine those oils, but why can't we use them simultaneously? For those who seek options to manipulate SQL databases with Python and SQL, we will explore different approaches and implement one of these options in an interview question.
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May 29, 2024 | 
medium.datadriveninvestor.com | Nathan Rosidi
What is a data analyst, and what is their role in data teams? What does it take to be a data analyst? Here, we explore this attractive data role further. Do you know how much data is created every day? According to Exploding Topics, 328.77 million terabytes of data are generated daily. I don't even know how to get this quantity into comprehensible measures. Let's try it like this. My computer's hard drive is 500 GB or 0.5 TB, a decent size for daily use.
