Data Science & Analytics
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🌟 Your hub for courses from platforms like Udemy, Coursera, EdX, and more! 📚 Explore top recommendations for books and learning resources. 🎯 Stay updated on the latest job opportunities in Data Science and Analytics. @Ahmedneamatallah
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What will be the value of the following Python expression?
4 + 3 % 5
Which of the following is the correct extension of the Python file?
Is Python case sensitive when dealing with identifiers?
تم اضافه الحل في كل من التمرينين 😇
EX1 : https://t.me/datascience_courses/3202
EX2 : https://t.me/datascience_courses/3206
Ex2: Print the Sum of a Current Number and a Previous number
Write a Python code to iterate the first 10 numbers, and in each iteration, print the sum of the current and previous number.
NumPy Practical Examples: Useful Techniques
Link: https://realpython.com/numpy-example/
#numpy #python
Ex1: Calculate the multiplication and sum of two numbers
Given two integer numbers, write a Python code to return their product only if the product is equal to or lower than 1000. Otherwise, return their sum.
number1 = 20
number2 = 30
#Python #EX
📊 Data Visualization Learning Roadmap
👩🏻💻 Many people ask me where to start to learn "data visualization"?
✏️ The truth is that data visualization has its own language that we need to learn. We need to start with the basics and then gradually move on to more complex topics.
✅ I have used some great resources along the way that I am still learning from. With every project, consultation, or course I take, my experiences grow. Here is a summary of the useful resources that have helped me:👇
1️⃣ Part One: Articles and Books:
📑 Full article by Lisa Charlotte Muth
🔗 Article link: started data visualization
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2️⃣ Books:
📚 Book: Storytelling with Data
📚 Book: Practical Charts
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3️⃣ Learning communities:
👤 Membership link: Storytelling with Data
☑️ Membership link: DataVis Community
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4️⃣ Podcasts:
🌟 Link: SWD Podcast
🌟 Link: Data Viz Today
🌟 Link: PolicyViz
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5️⃣ Key resources:
📚 Data Visualization Guide: This guide includes great resources for learning and developing data visualization skills.
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6️⃣ Training courses:
📣 Effective data visualization / Learning to turn data into art.
📣 Information design /storytelling with data in Illustrator.
📣 Data Visualization / This course provides creative tools and techniques for visualization.
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7️⃣ Data visualization tools:
⬅️ Link: Scimago Graphica
⬅️ Link: Datawrapper
⬅️ Link: Flourish
⬅️ Link: Tableau Public
⬅️ Link: RStudio & Python
