𝐅𝐑𝐄𝐄 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 𝐰𝐢𝐭𝐡 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐞𝐬 𝐢𝐧 𝟐𝟎𝟐𝟒:

1. Python
👉 https://t.co/JlkqmlvoVT

👉 https://t.co/gsSME8a8Pp

2. Introduction to Programming with Python
👉 https://t.co/eKcM89oWIl

3. #SQL
👉 https://t.co/60E5b3CnQa

👉 https://t.co/FRcfRddMbU

4. #Excel
👉 https://t.co/MFOGoEHJOj

👉 https://t.co/BcDQekk9P6

5. #PowerBI
👉 https://t.co/xtFHxf80D9

6. #Tableau
👉 https://t.co/LnkV93g3qz

7. Mathematics & Statistics
👉 https://t.co/UkJwpbSV9G

👉 https://t.co/R6gq6gqbsr

8. #Data_Science: Inference and Modeling
👉 https://t.co/Qufh6C2D06

9. Data Analysis with #Python
👉 https://t.co/3N3nlj9Mk7

👉 https://t.co/aywbtayqhH

10. Data Visualization
👉 https://t.co/jd6FoFYBui

11. Data Visualization (Harvard University)
👉 https://t.co/7rQcGUllaS

12. Data Pre-Processing
👉 https://t.co/vETpB3qVYu

13. Data Cleaning
👉 https://t.co/ttarcRhgZk

14. #Machine_Learning (Harvard University)
👉 https://t.co/d87TUiLXOL


مرجع معرفی بهترین دوره های مهندسی کامپیوتر 👇

📲 @programmers_street

Short roadmap to learn #Tableau 👇

1. Getting Started:
   - Download and install Tableau Public (free) or Tableau Desktop (trial version).
   - Explore the Tableau interface to get familiar with its components.

2. Data Connection:
   - Learn to connect Tableau to your data sources like Excel, CSV, databases, or cloud services.

3. Data Preparation:
   - Understand how to clean and shape data in Tableau using the Data Source tab.

4. Basic Visualization:
   - Create simple visualizations like bar charts, line charts, and scatter plots.

5. Calculations:
   - Learn about calculated fields and basic functions for more complex data transformations.

6. Dashboards and Stories:
   - Explore creating interactive dashboards and stories to present your insights effectively.

7. Advanced Visualizations:
   - Dive into more advanced charts and graphs, such as heat maps, treemaps, and dual-axis charts.

8. Advanced Calculations:
   - Master advanced calculations, such as level of detail (LOD) expressions and table calculations.

9. Mapping:
   - Learn how to create maps and geospatial visualizations using Tableau's mapping features.

10. Data Blending:
    - Understand how to blend data from multiple sources for comprehensive analysis.

11. Performance Optimization:
    - Optimize the performance of your Tableau workbooks for larger datasets.

12. Tableau Server (Optional):
    - If needed, explore Tableau Server for collaboration and sharing.

13. Online Resources:
    - Utilize online tutorials, documentation, and forums to expand your knowledge.

14. Practice:
    - Work on real-world projects to apply what you've learned. Remember to practice and apply your knowledge as you progress through each stage.

15. Certification (Optional):
    - Consider pursuing Tableau certification for formal recognition of your skills.


#علم_داده #DataScience
دانشکده مهندسی کامپیوتر 👇👇

🆔 @programmers_street