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با استفاده از دوره های این لیست متخصص علم داده و ماشین لرنینگ شوید ( رایگان ) :

1. Python

    - From Harvard

https://cs50.harvard.edu/python/

2. SQL

     - From Stanford

https://online.stanford.edu/courses/soe-ydatabases0005-databases-relational-databases-and-sql

3. Mathematics

     - From MIT

https://ocw.mit.edu/search/?d=Mathematics&s=department_course_numbers.sort_coursenum

4. Excel

    - From Microsoft

https://learn.microsoft.com/training/paths/modern-analytics/

5. Power BI

    - From Microsoft

http://learn.microsoft.com/collections/m14nt4rdwnwp04

6. Data Visualization

     - From Harvard

https://pll.harvard.edu/course/data-science-visualization

7. Data Analysis

     - From IBM

https://skillsbuild.org/adult-learners/explore-learning/data-analyst

8. Data Science using Python

    - From Saylor Academy

https://learn.saylor.org/course/view.php?id=504

9. Machine Learning

      - From Google

https://developers.google.com/machine-learning/crash-course

10. Deep Learning

      - From MIT

https://introtodeeplearning.com



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🆔 @Python4all_pro



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با استفاده از دوره های این لیست متخصص علم داده و ماشین لرنینگ شوید ( رایگان ) :

1. Python

    - From Harvard

https://cs50.harvard.edu/python/

2. SQL

     - From Stanford

https://online.stanford.edu/courses/soe-ydatabases0005-databases-relational-databases-and-sql

3. Mathematics

     - From MIT

https://ocw.mit.edu/search/?d=Mathematics&s=department_course_numbers.sort_coursenum

4. Excel

    - From Microsoft

https://learn.microsoft.com/training/paths/modern-analytics/

5. Power BI

    - From Microsoft

http://learn.microsoft.com/collections/m14nt4rdwnwp04

6. Data Visualization

     - From Harvard

https://pll.harvard.edu/course/data-science-visualization

7. Data Analysis

     - From IBM

https://skillsbuild.org/adult-learners/explore-learning/data-analyst

8. Data Science using Python

    - From Saylor Academy

https://learn.saylor.org/course/view.php?id=504

9. Machine Learning

      - From Google

https://developers.google.com/machine-learning/crash-course

10. Deep Learning

      - From MIT

https://introtodeeplearning.com



#پایتون #علم_داده
🆔 @Python4all_pro

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The lead from Wall Street offers little clarity as the major averages opened lower on Friday and then bounced back and forth across the unchanged line, finally finishing mixed and little changed.The Dow added 33.18 points or 0.10 percent to finish at 34,798.00, while the NASDAQ eased 4.54 points or 0.03 percent to close at 15,047.70 and the S&P 500 rose 6.50 points or 0.15 percent to end at 4,455.48. For the week, the Dow rose 0.6 percent, the NASDAQ added 0.1 percent and the S&P gained 0.5 percent.The lackluster performance on Wall Street came on uncertainty about the outlook for the markets following recent volatility.

At a time when the Indian stock market is peaking and has rallied immensely compared to global markets, there are companies that have not performed in the last 10 years. These are definitely a minor portion of the market considering there are hundreds of stocks that have turned multibagger since 2020. What went wrong with these stocks? Reasons vary from corporate governance, sectoral weakness, company specific and so on. But the more important question is, are these stocks worth buying?

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