Python for data analysis enthusiasts

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By the end of this lesson, the learner will be able to: Getting to know the Python language Understand what Python is and its most important uses. Distinguishing Python from other programming languages. Preparing the work environment Install and run a Python development environment (such as Python IDLE or VS Code). Running your first Python program. Dealing with variables and data types Defining and dealing with variables. Understanding different types of data Use input and output operations (input() and print()). Perform arithmetic and logical operations. Understanding the basic structures of programming Using if-else statements. Applying loops (for, while). Working with functions in Python Following naming and commenting conventions in Python.

ABOUT THE LESSONS - Tailored according to your skill level - Latest version of python - Extremely interactive TAKEAWAYS - Well-structured Notes - Programming Problems of all levels with Solutions - Lecture Recording - Complete Roadmap ABOUT ME - Five years of experience in Python Programming - Worked on several real-world Python projects - Have the ability to break down complex Python concepts in simple words - Have the ability to explain Python on any level PYTHON I can teach you: - concepts at a deep level of understanding - how to use python for practical applications - how to solve programming problems using python - data structures and algorithms in python

Are you a high school or high school student and have difficulty understanding and solving math or physics problems? Then I am someone who would like to help you with that. I often see that in standard classroom teaching is succinctly taught. As a result, the student misses out on the whole picture, making the teaching material and the problems vague and unclear. My goal is to take the time for each student to complete the whole picture and guide them through complex problems, so that the student can not only take tests and exams with ease, but also enjoy learning the material.

What You Will Learn: Core Principles: Introduction to programming, algorithms, and data structures to build a strong foundation. Advanced Libraries and Frameworks: NumPy, Pandas, and Django to create web applications and perform efficient data analysis. Practical Projects: Real-world applications to strengthen your skills and build an impressive portfolio. How You Will Benefit: Students: Gain the necessary skills to excel in academic projects and lay the groundwork for your career. Self-Taught Learners: Avoid common mistakes and fast-track your progress with clear, hands-on guidance. Professionals: Enhance your skill set to meet industry demands and open up new career opportunities. Why Choose My Courses?: Personalized Approach: Each course is customized to your level and learning pace, ensuring tailored guidance and support. Theory and Practice: You’ll combine theoretical concepts with hands-on exercises for a comprehensive and lasting understanding. Solving Real-World Problems: Learn how to tackle the common challenges faced in programming, from debugging to performance optimization.

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I am currently working as an independent consultant, technical writer, online teacher 🧑‍🏫 and course content developer in Python, and a wide range of Machine/Deep Learning topics 🧑‍💻. My experience enables me to offer lessons ranging from beginner to advanced levels. I can tailor the classes to your specific needs and schedule, providing a well-structured learning path 🚀. What do you get from me? 👉 Learn at your own pace without any pressure 👉 Well-documented tutorials What topics do I usually cover at the beginning for people without Python experience? ✔️ Understanding the basic concepts (variables & types) ✔️ Math & Statistics (explained easily) ✔️ Data Manipulation (data cleaning, preprocessing...) What topics do I cover for people with Python experience? ✅ Classic libraries: Pandas, NumPy, Scikit-learn, TensorFlow ✅ Data Analytics/Visualization: Plotly, Seaborn, Matplotlib ✅ Domains: Regression, Classification, NLP, LLM, RAG, Computer Vision, Neural Networks, Ensemble Methods, Clustering, Dimensionality Reduction ✅ MLOps: MLflow, Prefect, GCP, AWS Whether you are new to the field, seeking to enhance your skills, or require assistance with a work/school project, feel free to reach out to me! 😉

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