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Professional Certificate in

Defense Analytics Course

With our Defense Analytics course, you will emerge as a professional ready to grab innumerable opportunities in the current Industry that is focusing heavily to leverage on Data.
  • Get Trained by Trainers from ISB, IIT & IIM
  • 16 Hours of Intensive Online Sessions
  • 20 Hours of Free Python Programming Videos
  • Get Quiz Questions and Use Cases
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Defense Analytics course - 360digitmg
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Defense Analytics course reviews - 360digitmg
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Defense Analytics is an application of Big Data Analytics to the defense data to make informed mission-critical decisions, drive operational agility, and improve service delivery with data.

Defense Analytics

Program Cost

INR 12,000/-

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Overview of Defense Analytics Course

Data Analytics has been helping all domains in solving crucial issues and taking informed and profitable decisions. Its defense application has been a lifesaver for public services. Defense agencies are leveraging data to make a critical response faster. Thanks to Defence Analytics now government agencies are responding fast to crises and delivering economic relief and public services. 360DigiTMG course graduates can easily develop optimized Defense solutions and help agencies to make informed decisions.

Defense Analytics Course Training Learning Outcomes

Defense Analytics is a special branch of Data Analytics that involves using public data with analytical tools to improve and provide better public service.
The Certification Program in Defense Analytics is a sui generis attempt to blend analytics solutions for better Defense practices and the development of new strategies for efficient crisis response. Specifically designed to suit the defense professionals and data professionals who wish to understand the application of Big Data Analytics, Machine Learning, Neural Networks, and Deep Learning to defense industry data. Our Defence Analytics course is meant for professionals from the defense domain as it provides a comprehensive picture of how data science and artificial intelligence can be leveraged to increase the efficiency of defense practices and strategies. Understanding the applications of Data Science, Machine Learning to defense will be the prime objective of this content-rich program.

  • Work with various information sources
  • Analyse structured and unstructured data using different tools and techniques
  • Develop an understanding of descriptive and predictive analytics
  • Apply data-driven, machine learning approaches for HR functions such as attrition prediction
  • Understanding how surveys work and perform analytics on them
  • Use ML techniques to create a personalized experience for employees
  • Use data visualisation concepts to represent data for easy understanding
  • Gaining specialization in defense IT sector

Defense Analytics Course Modules

This document details the defense analytics program. Sessions are broken down in a module-wise manner to understand the topics in a better way. The focus of this analytics will be on the overall defensive strategy of the military.

  • Introduction to the world of Defense System for Countries
  • Importance of Logistics in any sort of Military operations
  • Usage of drones for threat monitoring and identification
  • Discussion on the automated self-defense systems like the Iron dome of Israel
  • Basic information on AI and ML
  • Examples of important logistic failures in the history of military warfare, using the example of Napoleon’s 1812 invasion of Russia

  • Introduction to the various stages of analytics and using a historical example of the various stages can help understand the steps involved in analytics
  • Discussion on CRISP-ML (Q)
  • Explanation of the importance of CRISP-ML (Q) in various Data Science related projects
  • Explanation of unsupervised and supervised learning
  • Explanation of the training, validation, and testing stages of supervised learning
  • Understanding right fit, underfit and overfit scenarios in supervised learning
  • Understanding Hyperparameter tuning in the context of overfitting

  • This module covers the various steps of EDA
  • Discussion on the 4 business moment decisions in EDA
  • Discussion on univariate, bivariate, and multivariate EDA steps
  • Explanation of the various pre-processing steps involved in any Machine learning or Artificial intelligence project
  • A brief introduction to feature engineering

  • Re-cap of unsupervised learning in ML
  • Understanding of clustering in layman’s terminology
  • Understanding K-means clustering from a technical perspective
  • Understanding the usage of elbow curve and silhouette scoring to decide on the ideal number of clusters
  • Use Case: Clustering of various nations across the globe, as per their defense spending per capita GDP percentage, using historical data from 1960 to 2020

  • Re-cap on supervised learning
  • Understanding of nearest neighbor in ML
  • Understanding the KNN algorithm and distance metrics
  • Understanding of early stopping point in the training phase
  • Explanation of the need for an odd number of neighbors when classifying
  • Use Case: Classifying the various nations of the world in terms of their overall weapons export since 1960

  • Understanding the decision-making process for humans and correlating to the topic of Decision Trees
  • Understanding the various components of a decision tree
  • Understanding the idea behind the root node and how it affects the overall tree
  • Understanding entropy and information gain concepts of decision tree to make logical choices on the root node
  • Usage of hyper parameter tuning to optimize the tree
  • Use Case: Classification of historical bombing during ww2 to understand how the process of choosing targets could have been optimized with ML, and how it could have helped avoid various unnecessary civilian casualties

  • Introduction to the concept of line equation
  • Correlation of line equation in ML terms
  • Understanding of correlation and its importance in Linear regression
  • Differentiating between the equations of SLR and MLR
  • Explanation of the OLS concept
  • Use Case: This use case deals with the cost of setting up forward operating bases which act as the frontline of any defensive strategy of the military. This will be dealt with the usage of MLR to make accurate predictions on the overall cost of military operations

  • Re-cap on the topics covered before
  • Understanding the importance of AI
  • Understanding the reasoning behind the concept of neural networks
  • Explanation on the perceptron algorithm
  • Introduction to multilayer perceptron
  • Understanding the concept of weight calculations
  • Brief intro to gradient descent
  • Use Case: Casualties are the harsh reality of war. However, not all casualties are directly related to war itself. Using ANN, trying to understand and predict how casualties of war can be classified

Tools Covered

  • Defense Analytics course using python
  • Defense Analytics training using r programming
  • Defense Analytics training using r studio programming

GenAI assistants and models

  • ChatGPT
  • Claude
  • Gemini
  • Llama
  • Perplexity

AI-assisted and vibe coding

  • GitHub Copilot
  • Cursor
  • Claude Code
  • Replit

Agentic AI frameworks

  • LangChain
  • Hugging Face
  • Ollama

Zero-code AI automation

  • n8n
  • Zapier
  • Make

Deploy and MLOps

  • MLflow
  • Streamlit
  • Docker
  • Databricks
  • AWS
  • Google Cloud

Trends in Defense Analytics Course

The market for defense analytics is a growing market. There is an increased usage of AI, and analytics towards defense analytics. The global defense IT spending market size was USD 81.28 billion in 2019. The market is projected to grow from USD 82.12 billion in 2020 to USD 110.89 billion in 2027 at a CAGR of 4.38% during the 2020-2027 period.

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Certificate

Earn a Defense Analytics Course certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Science in Defense Analytics Course Certificate is your passport to an accelerated career path.

Defense analytics certification course - 360digitmg

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Alumni Speak

"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”

Pavan Satya

Pavan Satya

Senior Software Engineer

"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."

Chetan Reddy

Chetan Reddy

Data Scientist

"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”

Santosh Kumar

Santosh Kumar

Business Intelligence Analyst

"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”

Kadar Nagole

Kadar Nagole

Data Scientist

"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”

Gowtham R

Gowtham R

Data Engineer

"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”

Wan Muhamad Taufik

Wan Muhamad Taufik

Associate Data Scientist

"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”

Venu Panjarla

Venu Panjarla

AVP Technology

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FAQs for Defense Analytics Training Program

If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.

Each classroom session is recorded on video and stored in our Learning Management System AISPRY. You will be assigned a dedicated login to AISPRY. You can access the video sessions from AISPRY.

After you have completed the classroom sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your data scientist certificate.

We assign mentors to each student in this program. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.

This Certificate is valid lifelong. 360DigiTMG has a pay once repeat many times offer on this course. You pay once for the course and can repeat it many times in the future for free. This helps you adapt to technological changes and software updates in the course of your career.

Jobs in the field of Analytics

Jobs in the field of Analytics

1)Defense Data Analyst
2)Defense Intelligence Analyst
3)Defense Operations Research Analyst
4)Defense Data Scientis

Salaries for Analytics Course

Salaries for Analytics Experts

Entry-level positions: For entry-level positions in defense analytics, such as data analysts or junior data scientists, salaries can range from $50,000 to $80,000 per year, depending on the location and organization.
Mid-level positions: For mid-level positions with a few years of experience, such as defense data analysts or cybersecurity analysts, salaries can range from $80,000 to $120,000 per year.
Senior-level positions: Senior-level positions in defense analytics, such as defense data scientists or defense strategy consultants, can command salaries ranging from $120,000 to $200,000 or more per year, depending on the level of expertise, experience, and responsibilities.

Analytics Course Projects

Analytics Course Projects

Predictive Maintenance in Defense: Develop a predictive maintenance model using machine learning algorithms to identify potential equipment failures in defense systems, enabling proactive maintenance and reducing downtime.
Threat Detection and Analysis: Design a defense analytics project focused on analyzing various data sources, such as sensor data and intelligence reports, to detect and analyze potential threats, enhancing situational awareness and supporting timely decision-making.
Resource Allocation Optimization: Create a project that utilizes optimization techniques and data analytics to optimize resource allocation in defense operations, considering factors like budget constraints, mission requirements, and logistical considerations.

Role of Open Source Tools in Analytics Course

Role of Open Source Tools in Analytics

1) Open source tools play a crucial role in defense analytics by providing cost-effective solutions for data analysis, machine learning, and visualization, allowing defense organizations to leverage powerful analytics capabilities without heavy reliance on proprietary software.
2) Open source tools offer flexibility and customization options, enabling defense analysts to tailor analytics workflows to specific defense requirements and integrate with existing systems seamlessly.
3) The open source community fosters collaboration and knowledge sharing among defense professionals, allowing for the development and enhancement of defense analytics tools and techniques, ultimately contributing to the advancement of defense analytics capabilities.

Modes of Training for Analytics Course

Modes of Training for Analytics Course

Analytics courses are offered in various training modes, including in-person classroom training, allowing for direct interaction with instructors and peers, and online self-paced training, providing flexibility for learners to study at their own convenience.
Additionally, blended training models combine the advantages of both in-person and online training, offering a mix of instructor-led sessions and online resources to accommodate different learning styles and preferences.

Industry Application of Analytics Course

Industry Application of Analytics Course

The industry application of analytics courses spans across various sectors, including finance, healthcare, retail, manufacturing, and transportation, empowering organizations to make data-driven decisions, optimize operations, and gain a competitive edge in the market.
By equipping professionals with analytical skills and techniques, analytics courses enable individuals to tackle complex business challenges, extract valuable insights from data, and drive innovation and growth in their respective industries.

Companies That Trust Us

360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.

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