Data Science

Day 17 – Building Microservices with .NET and Docker

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Format: Tutorial + architecture diagrams + Docker examples + real-world project integration Introduction Microservices architecture allows applications to be broken into smaller, independent services that can be developed, deployed, and scaled individually. .NET developers can leverage ASP.NET Core and Docker to build, containerize, and deploy microservices efficiently. At CuriosityTech.in, learners gain practical knowledge of building […]

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Day 11 – Exploratory Data Analysis (EDA) Step-by-Step

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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.

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Day 7 – Introduction to Python for Data Analysis (Pandas, NumPy)

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Introduction (Narrative + Hands-On Approach) In 2025, Python has become the most versatile tool for data analysis, blending automation, visualization, and machine learning. Unlike Excel or SQL, Python allows you to clean, analyze, and visualize massive datasets with fewer limitations. Imagine a mid-sized e-commerce business in Nagpur struggling to predict weekly sales trends. Using Python,

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Day 11 – Exploratory Data Analysis (EDA) Step-by-Step

Leave a Comment / Data Science /

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.

Day 11 – Exploratory Data Analysis (EDA) Step-by-Step Read More »

, , , ,

Day 7 – Introduction to Python for Data Analysis (Pandas, NumPy)

Leave a Comment / Data Science /

Introduction (Narrative + Hands-On Approach) In 2025, Python has become the most versatile tool for data analysis, blending automation, visualization, and machine learning. Unlike Excel or SQL, Python allows you to clean, analyze, and visualize massive datasets with fewer limitations. Imagine a mid-sized e-commerce business in Nagpur struggling to predict weekly sales trends. Using Python,

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Day 26 – Interview Questions & Answers for Data Scientist Roles

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Introduction Securing a data scientist role in 2025 requires not only technical expertise and practical experience, but also interview readiness. Employers evaluate candidates on conceptual understanding, problem-solving, coding, statistical knowledge, ML/AI skills, and business acumen. At CuriosityTech.in, Nagpur (1st Floor, Plot No 81, Wardha Rd, Gajanan Nagar), learners are trained to face technical interviews, case

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