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The Fireblaze AI School Blog

Guides, Interview Prep & Success Stories

Honest, practical writing on data and AI careers: how to choose a course, what skills actually get hired, real student placement stories, and where applied AI is heading in industry, aerospace and defence.

469articles
9categories
Since 2017NASSCOM partner

This blog covers career roadmaps for data analyst and developer roles, honest guidance on choosing an institute, course fees and salary expectations in Nagpur and Pune, real student placement stories, company-wise interview preparation, and what Generative AI is changing about entry-level data work, alongside deep-dive coverage of applied AI in aerospace and defence. Articles are written by Fireblaze AI School, a NASSCOM-partner institute operating in Nagpur since 31 October 2017, and we publish only figures we can verify.

Showing all 278 articles

Learning Guides

Learning Guides

If-Else Statements in Python: Complete Guide

Learn Python if, elif and else statements including comparison operators, nested conditions, and the ternary conditional expression, with examples.

7 min read

Learning Guides

Learning Guides

Variables in Python: Complete Guide

Learn how variables work in Python, naming rules, dynamic typing, multiple assignment, constants, and common interview questions.

6 min read

Learning Guides

Learning Guides

Class and Object in Python: Complete Guide

Learn Python classes and objects including attributes, methods, the __init__ constructor, self, and the difference between class and instance variable…

8 min read

Learning Guides

Learning Guides

Categorical Data in Python: Complete Guide

Learn how to handle categorical data in Python with Pandas, including nominal vs ordinal data, one-hot encoding, label encoding, and the category dtyp…

7 min read

Learning Guides

Learning Guides

Data Types in Python: Complete Guide

Learn Python's core data types including int, float, string, boolean, list, tuple, dictionary and set, with type checking and conversion examples.

7 min read

Learning Guides

Learning Guides

Top Python Libraries for Machine Learning

An overview of the essential Python libraries for Machine Learning, including NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch and Matplotlib, and whe…

7 min read

Learning Guides

Learning Guides

Random Forest Algorithm Explained with Examples

Learn how the Random Forest algorithm works, why it reduces overfitting compared to a single decision tree, feature importance, and its strengths and…

7 min read

Learning Guides

Learning Guides

Polynomial Regression in Python: Complete Guide

Learn polynomial regression including when to use it over linear regression, implementing it in Python with Scikit-Learn, and how to avoid overfitting…

7 min read

Learning Guides

Learning Guides

Hypothesis Testing Using Z-Test: Complete Guide

Learn the Z-test for hypothesis testing, including when to use it, the null and alternative hypothesis, calculating the Z-statistic, and interpreting…

7 min read

Learning Guides

Learning Guides

Hypothesis Testing Using T-Test: Complete Guide

Learn the t-test for hypothesis testing, including one-sample, two-sample and paired t-tests, when to use each, and how to interpret results in Python…

8 min read

Learning Guides

Learning Guides

Chi-Square Test vs ANOVA: When to Use Each

Learn the Chi-Square test for categorical data, how it differs from ANOVA, and when to use each statistical test, with Python examples.

7 min read

Learning Guides

Learning Guides

Types of Sampling in Statistics: Complete Guide

Learn the main types of sampling methods used in statistics and data analysis, including random, stratified, systematic, cluster and convenience sampl…

7 min read

Learning Guides

Learning Guides

Outlier Detection and Treatment in Data Analysis

Learn how to detect outliers using IQR, Z-score and visualisation methods, and the common treatment strategies including removal, capping and transfor…

8 min read

Learning Guides

Learning Guides

Autoencoders in Deep Learning Explained

Learn what autoencoders are, how the encoder-decoder architecture works, their use in dimensionality reduction and anomaly detection, with a simple ex…

7 min read

Learning Guides

Learning Guides

Image Segmentation Using OpenCV: Complete Guide

Learn image segmentation techniques in OpenCV including thresholding, contour detection and watershed segmentation, with practical Python code example…

7 min read

Learning Guides

Learning Guides

Video Analysis Using OpenCV in Python

Learn how to read, process and analyse video with OpenCV in Python, including frame extraction, motion detection, and object tracking basics.

7 min read

Learning Guides

Learning Guides

Basic Image Processing Using NumPy

Learn how to represent and manipulate images as NumPy arrays, including reading pixel values, cropping, flipping, and basic filtering.

6 min read

Learning Guides

Learning Guides

Object Detection Using ImageAI in Python

Learn how to perform object detection in images using the ImageAI library in Python with a pretrained model, including complete setup and code.

7 min read

Learning Guides

Learning Guides

Keras vs TensorFlow: What's the Difference

Understand the relationship between Keras and TensorFlow, when to use each, and how they compare to PyTorch for building deep learning models.

6 min read

Learning Guides

Learning Guides

A Beginner's Guide to Learning Power BI

A beginner-friendly roadmap to learning Power BI, covering data import, Power Query, DAX formulas, visualisations, and how to structure your learning.

7 min read

Learning Guides

Learning Guides

Data Visualization Using Plotly in Python

Learn how to create interactive charts in Python using Plotly, including line charts, bar charts, scatter plots and dashboards, with example code.

7 min read

Learning Guides

Learning Guides

Lists in Python: Complete Guide with Examples

Learn Python lists in depth including creation, indexing, slicing, methods, list comprehension, mutability, nested lists, and common interview questio…

9 min read

AI & Careers

Best AI Tools for Students in 2026

Students in 2026 have more AI tools than ever to simplify learning from AI note takers and research assistants to writing helpers, coding tutors, and…

5 min read

Learning Guides

NumPy in Python: A Complete Beginner's Guide

Discover NumPy, the fundamental Python library for numerical computing. Learn arrays, mathematical operations, indexing, broadcasting, and how NumPy…

4 min read

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