The Python Bootcamp (The Course)
Course Info
This course includes 20 attempts.
What Makes This Course Unique?
- Structured Daily Learning: Each day brings a new Python concept or project, carefully crafted to build upon previous lessons. This approach ensures steady progress and maintains your motivation throughout the 100-day journey.
- Hands-On Experience: We believe in learning by doing. You'll work on real-world projects that reinforce your understanding and showcase your growing skills to potential employers.
- Comprehensive Curriculum: From basic syntax to advanced topics like machine learning and web development, we cover it all. By the end of the course, you'll have a well-rounded understanding of Python's capabilities.
- Industry-Relevant Skills: Our curriculum is aligned with current industry demands, ensuring you learn the most in-demand Python skills and frameworks.
- Community Support: Join a vibrant community of learners. Collaborate, share insights, and overcome challenges together.
- Expert Guidance: Benefit from instructor-led sessions and detailed explanations for complex topics.
What You'll Learn:
- Python fundamentals and advanced concepts
- Web development with Flask and Django
- Data analysis and visualization
- Machine learning basics
- Automation and scripting
- Database management
- And much more!
Who Is This Course For?
- Beginners with no prior programming experience
- Programmers from other languages looking to add Python to their skillset
- Python programmers aiming to deepen their knowledge and stay updated with the latest practices
By the End of This Course, You'll Be Able To:
- Write clean, efficient Python code
- Develop web applications and RESTful APIs
- Analyze and visualize complex datasets
- Build machine learning models
- Automate tasks and create useful scripts
- Contribute to open-source Python projects
Pricing For the Course
We thought a lot on what price we should ask for the course, and we got an idea which is making a dynamic pricing. We believe in rewarding early adopters and making quality education accessible. That's why we've implemented an innovative dynamic pricing model:
Price = Base + (Students * 0.01) + (DayCount * 0.5)
- Where:
- Base = $4 (starting price)
- Students = number of enrolled students
- DayCount = number of challenge days published
How It Works:
- Starting Low: The course launches at an incredibly low price of just $4, making it accessible to everyone.
- Gradual Increase: The price increases based on several factors:
- Number of enrolled students
- Time since course launch
- Number of lectures added (up to 100 lecture)
- Early Bird Advantage: The earlier you enroll, the more you save. Early adopters get the best deal while helping us build a thriving learning community.
- Quality Reflection: As the course receives more positive ratings, the value (and price) increases, reflecting its proven quality.
- Transparent Growth: Watch the community grow and the course value increase in real-time.
Why Choose Dynamic Pricing?
- Fairness: Early supporters get the best prices.
- Community Building: Encourages the growth of an active learning community.
- Continuous Improvement: As the course grows, we reinvest in making it even better.
- Value Alignment: The price reflects the course's proven value and community size.
Join us on this 100-day Python adventure and transform your coding skills. Whether you're looking to start a new career, enhance your current role, or simply explore the world of programming, this course will equip you with the knowledge and practical skills to succeed in the ever-evolving tech landscape.
Are you ready to become a Python pro? Let's start this exciting journey together!
Course Material
- Day 0 - Welcome to “Master Python in 100 Days”
- What to Expect
- Course Structure
- Preparing for Success
- Day 1 - Introduction to Python and Setup
- The Day Streamed Video
- Lesson Content:
- What is Python?
- Installing Python
- Your first Python program
- Introduction
- Introduction
Instructors
Hisham Elamir is a data scientist with expertise in machine learning, deep learning, and statistics. He currently lives and works in Cairo, Egypt. In his work projects, he faces challenges ranging from natural language processing (NLP), behavioral analysis, and machine learning to distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meet-ups, conferences, and other events.
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