Master Python: From Foundations to Expert-Level Coding
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What you'll learn
- Work with Data Structures and Algorithms: Learn to implement and optimize data structures such as lists, dictionaries, and trees, and apply algorithms for efficient problem-solving.
- Explore Machine Learning: Get an introduction to machine learning concepts and implement basic models using Python libraries like scikit-learn and TensorFlow.
- Develop Real-World Applications: Build fully functional applications, including web apps, automation scripts, and data analysis tools, using Python’s versatile libraries.
- Prepare for Python Certification: Equip yourself with the knowledge and skills needed to pass Python certification exams and advance your career in programming.
- Automate Tasks and Processes: Harness the power of Python to automate repetitive tasks, manage files, and interact with APIs, enhancing productivity and efficiency.
- Work with Data Structures and Algorithms: Learn to implement and optimize data structures such as lists, dictionaries, and trees, and apply algorithms for efficient problem-solving.
Top Companies Hiring Cyber Security Experts
Course Curriculum
Introduction to Python
Getting Started with Python
Python Syntax and Basic Constructs
Control Flow in Python
Data Structures and Algorithms
Working with Python Data Structures
Algorithms and Problem-Solving Techniques
Functions and Modules
Defining and Calling Functions
Advanced Function Concepts
Working with Modules and Packages
Object-Oriented Programming (OOP) in Python
Introduction to OOP Concepts
Advanced OOP Features
Working with Files and Exception Handling
File Handling in Python
Exception Handling
Python Libraries for Data Science
Introduction to Data Science with Python
Data Manipulation with Pandas
Numerical Computing with NumPy
Data Visualization with Matplotlib and Seaborn
Web Development with Python
Introduction to Web Development
Building Web Applications with Flask
Building Web Applications with Django
Python for Automation and Scripting
Automating Tasks with Python
Interacting with APIs
Introduction to Machine Learning
Getting Started with Machine Learning
Supervised Learning Techniques
Unsupervised Learning Techniques
Capstone Project
Project Planning and Requirements Gathering
Implementation and Development
Final Project Presentation
Requirements
Educational Background:
- Pursuing or Graduated with a degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.
- Diploma Holders in Computer Science, IT, or related fields with relevant experience are also eligible.
Computer and Software Requirements:
- A laptop or computer with at least 8GB RAM.
- A stable internet connection for accessing online resources and participating in interactive sessions.
- Installation of necessary software, such as Python (latest version), an IDE (like PyCharm or VSCode), and version control tools (Git).
Course in high demand
Master Python: From Foundations to Expert-Level Coding
27 Lessons
123 hours
Expert
jobjohnbosco@outlook.com
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In just 12 weeks, I went from basic knowledge to mastering advanced cyber security concepts. The job assistance was a huge bonus!
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This course gave me the skills I needed to land a top job in cyber security. The hands-on experience and expert guidance were invaluable.
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The training was top-notch, with real-world applications that I use daily in my job. The experienced trainers made all the difference.
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The course covered everything I needed, with flexible learning options that fit my schedule. I now feel fully prepared for my career in cyber security.
Previous
Next
- Online and Offline Learning Options
- 15+ Years Experienced Trainers
- Exclusive Study Materials
- Hands-on Experience
- Integrated Doubt Sessions
- Industry-Recognized Certification
- 100% Job Assistance
- 4 months
- Advanced