Many people are laughing about python enabling in Excel. Did you know that number of python users world-wide is 15.7 millions and number of Excel users is 750 million people. So python enabling in Excel makes it potentially the most used language in the 🌍
I personally very hesitant about python via Excel usage. But I'm very certain: python is absolutely worth learning, especially if you're serious about getting a job in Data Science field.
What is the best way to learn this language?
📘 Start with the Basics: If you're new to Python, start with the fundamentals. Online platforms like Coursera, edX, Datacamp or even free resources like Codecademy offer great beginner courses. If you prefer books, check out nostarch - the best publisher on this topic!
🔬 From Theory to Practice: Programing language requires a lot of practice. Start applying the concepts you learn in small projects as soon as possible. Try automating a task, analyzing a data set, or even building a simple model.
📊 Data Analysis Libraries: Get familiar with libraries like Pandas, NumPy, and Matplotlib. These are the bread and butter of data manipulation and visualization in Python.
🤖 Machine Learning: Once comfortable with basic data handling, delve into machine learning libraries like scikit-learn or TensorFlow or pyTorch. These are essential for advanced data science work. If you're interested in Natural Language Processing, add LangChain to your learning list.
📚 Continual Learning: The tech world evolves rapidly. Keep learning through blogs, podcasts, and new courses to stay updated.
💼 Build a Portfolio: Showcase your Python projects on platforms like GitHub. This will not only demonstrate your skills but also your journey from academia to data science.
💬 Network and Share: Engage with the community. Join Python and data science groups, attend meetups, and share your own learning. Remember, every expert was once a beginner!
If you’ve made this transition, what tips would you add? Let's help each other grow in this dynamic field 🤓
Comments