About This Course
This comprehensive course is your gateway to becoming a Secure Python Developer for Data Science. It covers a wide array of essential areas in modern technology and cybersecurity, making it the perfect choice for individuals aiming to excel in these domains. Starting with Python, the versatile programming language fundamental to data science, you’ll build a solid foundation. The course then delves into data science fundamentals, data security, and secure coding practices. Completion of certification programs and networking knowledge further strengthens your skill set. This course is designed to equip you with diverse skills crucial for success in technology and cybersecurity roles.
Learning Objectives
- Proficiency in Python programming, making you a versatile developer.
- Specialized skills in data security, covering encryption, secure coding practices, and data protection.
- Certification in Python development and data security, demonstrating your capabilities.
- Competency in version control systems like Git for code management and security.
- Building a professional network in the Python development and data security communities.
- Foundational knowledge in data science, including statistics, data manipulation, and visualization.
- Expertise in secure coding practices specific to Python, including vulnerability prevention.
- Practical experience through hands-on projects that reinforce your skills.
- Staying informed about the latest industry developments and trends.
Curriculum
Module 1 : Learn Python
Start with the basics of Python programming language. There are many online
resources, tutorials, and courses available for free or at a low cost.
Module 2 : Data Science Fundamentals
Gain a solid understanding of data science fundamentals, including statistics, data
manipulation, and visualization.
Module 3 : Specialize in Data Security
Familiarize yourself with data security principles and best practices. Understand
encryption, secure coding practices, and how to protect sensitive data. Books like
"Python Cryptography" can be helpful.
Module 4 : Secure Coding Practices
Learn about secure coding practices specific to Python. This includes
understanding and preventing common vulnerabilities such as SQL injection,
cross-site scripting (XSS), and cross-site request forgery (CSRF).
Module 5 : Certification Programs
Consider enrolling in certification programs that focus on both Python
development and data security. Some relevant certifications include:
Certified Secure Software Lifecycle Professional (CSSLP)
Certified Information Systems Security Professional (CISSP)
Certified Ethical Hacker (CEH)
Module 6 : Attend Workshops and Conferences
Attend workshops, conferences, and meetups related to Python development and
data security. This will help you stay updated on the latest trends, tools, and
security practices.
Module 7 : Hands-On Projects
Apply your knowledge through hands-on projects. Working on real-world
projects will not only reinforce your skills but also provide you with practical
experience.
Module 8 : Version Control
Learn and use version control systems like Git. Understanding how to manage
and secure code repositories is a crucial skill for any developer
Module 9 : Stay Informed
Stay informed about the latest developments in Python, data science, and
cybersecurity. Follow relevant blogs, forums, and news sources to keep yourself
updated.
Module 10 : Networking
Build a network of professionals in both the Python development and data
security communities. Networking can open up opportunities for collaboration,
learning, and career advancement.
₹20,000.00₹25,000.00
