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Data Analysis with Python - Full Course for Beginners (Numpy, Pandas, Matplotlib, Seaborn)


Learn Data Analysis with Python in this comprehensive tutorial for beginners, with exercises included!
NOTE: Check description for updated Notebook links.

Data Analysis has been around for a long time, but up until a few years ago, it was practiced using closed, expensive and limited tools like Excel or Tableau. Python, SQL and other open libraries have changed Data Analysis forever.

In this tutorial you'll learn the whole process of Data Analysis: reading data from multiple sources (CSVs, SQL, Excel, etc), processing them using NumPy and Pandas, visualize them using Matplotlib and Seaborn and clean and process it to create reports.
Additionally, we've included a thorough Jupyter Notebook tutorial, and a quick Python reference to refresh your programming skills.

https://www.youtube.com/watch?v=r-uOLxNrNk8&t=683s

#علم_داده #پایتون #Python #DataScience

🆔 @Python4all_pro



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Data Analysis with Python - Full Course for Beginners (Numpy, Pandas, Matplotlib, Seaborn)


Learn Data Analysis with Python in this comprehensive tutorial for beginners, with exercises included!
NOTE: Check description for updated Notebook links.

Data Analysis has been around for a long time, but up until a few years ago, it was practiced using closed, expensive and limited tools like Excel or Tableau. Python, SQL and other open libraries have changed Data Analysis forever.

In this tutorial you'll learn the whole process of Data Analysis: reading data from multiple sources (CSVs, SQL, Excel, etc), processing them using NumPy and Pandas, visualize them using Matplotlib and Seaborn and clean and process it to create reports.
Additionally, we've included a thorough Jupyter Notebook tutorial, and a quick Python reference to refresh your programming skills.

https://www.youtube.com/watch?v=r-uOLxNrNk8&t=683s

#علم_داده #پایتون #Python #DataScience

🆔 @Python4all_pro

BY پایتون ( Machine Learning | Data Science )


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Should You Buy Bitcoin?

In general, many financial experts support their clients’ desire to buy cryptocurrency, but they don’t recommend it unless clients express interest. “The biggest concern for us is if someone wants to invest in crypto and the investment they choose doesn’t do well, and then all of a sudden they can’t send their kids to college,” says Ian Harvey, a certified financial planner (CFP) in New York City. “Then it wasn’t worth the risk.” The speculative nature of cryptocurrency leads some planners to recommend it for clients’ “side” investments. “Some call it a Vegas account,” says Scott Hammel, a CFP in Dallas. “Let’s keep this away from our real long-term perspective, make sure it doesn’t become too large a portion of your portfolio.” In a very real sense, Bitcoin is like a single stock, and advisors wouldn’t recommend putting a sizable part of your portfolio into any one company. At most, planners suggest putting no more than 1% to 10% into Bitcoin if you’re passionate about it. “If it was one stock, you would never allocate any significant portion of your portfolio to it,” Hammel says.

The STAR Market, as is implied by the name, is heavily geared toward smaller innovative tech companies, in particular those engaged in strategically important fields, such as biopharmaceuticals, 5G technology, semiconductors, and new energy. The STAR Market currently has 340 listed securities. The STAR Market is seen as important for China’s high-tech and emerging industries, providing a space for smaller companies to raise capital in China. This is especially significant for technology companies that may be viewed with suspicion on overseas stock exchanges.

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