Tech Career Roadmaps for Software Developers, Ethical Hackers, and Data Scientists

Here's a detailed guide to Tech Career Roadmaps for Software Developers, Ethical Hackers, and Data Scientists, along with relevant images.

1. SOFTWARE DEVELOPER ROADMAP

Step 1: Learn the Basics of Programming

Start with a fundamental language: Python, JavaScript, or Java.

Understand data structures & algorithms.

Learn version control (Git, GitHub).

Step 2: Choose a Specialization

Frontend Developer → HTML, CSS, JavaScript, React, Vue.js

Backend Developer → Node.js, Django, Flask, Spring Boot

Full Stack Developer → Combine both frontend & backend

Step 3: Build Projects

Work on real-world applications (To-Do List, Blogging Website).

Contribute to open-source projects.

Step 4: Learn Deployment & DevOps

Docker, Kubernetes, AWS/Azure/GCP.

CI/CD pipelines.

Step 5: Apply for Jobs or Freelance

Create a portfolio & resume.

Use LinkedIn, GitHub, and personal blogs to showcase your work.

Software Developer Roadmap Image: 

2. ETHICAL HACKER ROADMAP

Step 1: Learn the Basics

Networking concepts (TCP/IP, HTTP, DNS, OSI Model).

Linux & Windows OS, Command Line (Bash, PowerShell).

Basic programming (Python, Bash, C, Assembly).

Step 2: Learn Cybersecurity Fundamentals

Web security concepts: SQL Injection, XSS, CSRF.

Learn about firewalls, VPNs, IDS, IPS.

Step 3: Get Hands-on with Ethical Hacking

Use Kali Linux, Metasploit, Burp Suite.

Penetration testing on web apps, networks, and wireless security.

Step 4: Get Certified

CEH (Certified Ethical Hacker)

OSCP (Offensive Security Certified Professional)

Step 5: Start Your Career

Apply for roles like Penetration Tester, Security Analyst, or Bug Bounty Hunter.

Ethical Hacker Roadmap Image:

3. DATA SCIENTIST ROADMAP

Step 1: Learn the Basics

Mathematics (Statistics, Probability, Linear Algebra).

Python, R, SQL for data manipulation.

Data structures & algorithms.

Step 2: Learn Data Handling & Analysis

Data cleaning, preprocessing (Pandas, NumPy).

Data visualization (Matplotlib, Seaborn).

Step 3: Machine Learning & AI

Supervised & Unsupervised Learning.

Deep learning with TensorFlow, PyTorch.

Big Data & Cloud Platforms (Hadoop, AWS, Google Cloud).

Step 4: Get Certified

Google Data Analytics, IBM Data Science, Microsoft AI certifications.

Step 5: Start Your Career

Apply for roles like Data Analyst, ML Engineer, AI Researcher.

Data Scientist Roadmap Image: