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SummerScript

Categories: Data Science
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About Course

About the Course:

This comprehensive Python programming course is specifically designed for college students seeking a solid foundation in programming and data analysis. From basic concepts to advanced topics like web development and data visualization, this course covers a wide spectrum of Python applications, ensuring students are well-equipped for real-world scenarios.

Why This Course?:

Tailored for College Students: Crafted to suit the learning preferences and academic needs of college students.
Relevance to Industry: Addresses industry demands by incorporating essential Python skills used in various sectors.
Comprehensive Learning: Covers fundamental Python concepts, web development using Flask, database integration, and advanced data analysis with Pandas and Numpy.
Practical Applications: Emphasizes hands-on projects, ensuring students can apply their knowledge immediately.

I will not bore you 🙂
I take my courses very seriously but at the same time I try to make it fun since I know how difficult learning from an instructor with a monotone voice or boring attitude is. This course is fun, and when you need some energy to keep going, you will get it from me.

My Approach to Teach You:

Interactive Learning: Engaging lessons with hands-on coding exercises for a practical understanding.
Real-world Examples: Illustrations of Python applications in industry scenarios to enhance comprehension.
Project-based Learning: Emphasis on building projects to reinforce theoretical concepts.
Supportive Environment: Encourages questions and discussions, fostering a collaborative learning atmosphere.
Regular Assessments: Periodic assessments to track progress and reinforce learning.

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What Will You Learn?

  • Python basics, including objects, conditions, loops, and file handling.
  • Object-oriented programming principles and their practical applications.
  • Web development using Flask, covering routing, templates, and HTTP methods.
  • Data analysis with Pandas, exploring Series, DataFrames, and advanced functionality.
  • Numpy for efficient numerical operations and array manipulation.
  • Visualization techniques using Matplotlib, Seaborn, Plotly, and Bokeh.
  • Introduction to database management with MySQL and MongoDB.
  • Understanding RESTful services and API integration.
  • Multithreading and multiprocessing for efficient code execution.
  • Exception handling and best practices for robust code.
  • In-depth coverage of Flask, including project development for a Food App.
  • Practical applications of Python in MySQL and MongoDB databases.
  • Advanced Pandas features, including window functions, time series, and categorical data.
  • Proficient use of Numpy for linear algebra and mathematical operations.

Course Content

Python Introduction

Student Ratings & Reviews

5.0
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5 years ago
Great clarity in explanations and thoroughly enjoyed the course. I had been working out for quite a while, but a few little things we might miss out from a diet perspective are covered well in detail here.
Especially loved how you structured the entire focus area of dieting into most important ones to lesser ones.