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  1. Day 11 – BigQuery Basics: Data Warehousing on GCP - Curiosity | Blog

    blogs.curiositytech.in › day-11-bigquery-basics-data-warehousing-on-gcp

    Master BigQuery on GCP with this beginner-friendly guide. Learn data warehousing concepts, architecture, pricing, and real-world use cases.

    2026-07-01
  2. Day 16 – Big Data Tools for Data Scientists: Hadoop & Spark - Curiosity | Blog

    blogs.curiositytech.in › big-data-tools-data-scientists

    Learn how Hadoop and Spark help data scientists process large datasets efficiently using modern Big Data technologies.

    2026-07-01
  3. Day 5 – Google Cloud Storage: Buckets, Objects & Lifecycle Rules - Curiosity | Blog

    blogs.curiositytech.in › day-5-google-cloud-storage-buckets-objects-lifecycle-rules

    Introduction: As we continue our deep dive into cloud computing on Day 5, it’s time to explore one of the most fundamental yet powerful services in the Google Cloud ecosystem: Google Cloud Storage (GCS). For anyone aspiring to become a proficient cloud engineer, understanding how to manage data efficiently is crucial. At CuriosityTech.in, we emphasize […]

    2026-07-01
  1. Day 11 – Exploratory Data Analysis (EDA) Step-by-Step - Curiosity | Blog

    blogs.curiositytech.in › day-11-exploratory-data-analysis-eda-step-by-step

    Introduction (Stepwise Investigation Style) Exploratory Data Analysis (EDA) is the first critical step in any data analysis workflow. It allows analysts to understand the dataset, detect patterns, identify anomalies, and uncover relationships before diving into modeling or reporting. Imagine a retail company in Nagpur launching a new product line. You have transaction data spanning months. […]

    2026-07-01
  2. Deploying Deep Learning Models with TensorFlow Serving

    blogs.curiositytech.in › day-16-deploying-deep-learning-models-with-tensorflow-serving

    Learn how to deploy deep learning models using TensorFlow Serving for scalable, production-ready AI applications with real-time inference.

    2026-07-01
  3. Day 7 – Exploratory Data Analysis (EDA) with Seaborn & Plotly - Curiosity | Blog

    blogs.curiositytech.in › exploratory-data-analysis-seaborn-plotly

    Learn Exploratory Data Analysis with Seaborn and Plotly. Understand data visualization, patterns, and insights using practical examples.

    2026-07-01
  4. Day 16 – Java Collections Framework: Essential Data Structures for Full Stack Developers - Curiosity | Blog

    blogs.curiositytech.in › day-16-java-collections-framework-essential-data-structures-for...

    Introduction The Java Collections Framework (JCF) is a cornerstone for any Java Full Stack Developer. Collections provide pre-built data structures that simplify the storage, retrieval, and manipulation of data in Java applications. From lists and sets to maps and queues, understanding collections is vital for efficient backend logic and high-performance applications. At CuriosityTech.in, developers learn […]

    2026-07-01
  5. Data Science: Unveiling the Power of Data for Modern Decision-Making - Curiosity | Blog

    blogs.curiositytech.in › data-science-curiosity-tech

    Discover the transformative potential of deep learning, its applications, benefits, and challenges. Learn how this AI technology is growing

    2026-07-01
  6. Day 8 – Data Visualization Essentials with Matplotlib & Seaborn - Curiosity | Blog

    blogs.curiositytech.in › day-8-data-visualization-essentials-with-matplotlib-seaborn

    Introduction (Visual Storytelling) In 2025, data without visualization is like a story without illustrations. Decision-makers rarely read tables of numbers—they respond to visual insights. Imagine a retail company in Nagpur: 50,000 transaction rows. A raw table of sales numbers won’t help the CEO spot trends. But a line chart showing sales growth, or a bar […]

    2026-07-01
  7. Day 5 – SQL Basics for Data Analysts: Queries, Joins & Filtering - Curiosity | Blog

    blogs.curiositytech.in › day-5-sql-basics-for-data-analysts-queries-joins-filtering

    Introduction (Hands-On Tutorial Style) Imagine you are a data analyst in a retail company in Nagpur and you’ve been given three Excel sheets—Orders, Customers, and Products. Your manager asks: “Which products are selling the most in Nagpur last quarter?” This is a classic scenario where SQL shines. SQL (Structured Query Language) is the language of […]

    2026-07-01
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