Data Analysis and Databases – Telegram
Data Analysis and Databases
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Learn how to analyze data effectively and manage databases with ease.

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🖥 Data Storytelling
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🔢 PostgresSQL CRUD tutorial
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🔅 Excel: Introduction to Formulas and Functions

🌐 Author: Curt Frye
🔰 Level: Intermediate

Duration: 1h 54m

🌀 Get a beginner-level introduction to Excel formulas and functions. Learn how to summarize and analyze data using these powerful data analysis features.


📗 Topics: Excel Formulas, Microsoft Excel

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📖 Types of Data Structures
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📖 30 days roadmap to learn Python for Data Analysis 😄👇

Days 1-5: Introduction to Python
1. Day 1: Install Python and a code editor (e.g., Anaconda, Jupyter Notebook).
2. Day 2-5: Learn Python basics (variables, data types, and basic operations).

Days 6-10: Control Flow and Functions
6. Day 6-8: Study control flow (if statements, loops).
9. Day 9-10: Learn about functions and modules in Python.

Days 11-15: Data Structures
11. Day 11-12: Explore lists, tuples, and dictionaries.
13. Day 13-15: Study sets and string manipulation.

Days 16-20: Libraries for Data Analysis
16. Day 16-17: Get familiar with NumPy for numerical operations.
18. Day 18-19: Dive into Pandas for data manipulation.
20. Day 20: Basic data visualization with Matplotlib.

Days 21-25: Data Cleaning and Analysis
21. Day 21-22: Data cleaning and preprocessing using Pandas.
23. Day 23-25: Exploratory data analysis (EDA) techniques.

Days 26-30: Advanced Topics
26. Day 26-27: Introduction to data visualization with Seaborn.
27. Day 28-29: Introduction to machine learning with Scikit-Learn.
30. Day 30: Create a small data analysis project.

Use platforms like Kaggle to find datasets for projects & GeekforGeeks to practice coding problems.

ENJOY LEARNING 👍👍
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