Data Manipulation in Python: Master Python, Numpy & Pandas

 

Learn Python, NumPy & Pandas for Data Science: Master essential data manipulation for data science in python
What you'll learn:

1) Learn to use Pandas for Data Analysis and Learn to work with numerical data in Python
2) Learn statistics and math with Python and Learn how to code in Jupyter Notebook
3) Learn how to install packages in Python
Requirements:

1) No prior data science knowledge required
2) No programming experience needed
Description:

When it comes to being attractive, data scientists are already there. In a highly competitive job market, it is tough to keep them after they have been hired. People with a unique mix of scientific training, computer expertise, and analytical abilities are hard to find.

Like the Wall Street "quants" of the 1980s and 1990s, modern-day data scientists are expected to have a similar skill set. People with a background in physics and mathematics flocked to investment banks and hedge funds in those days because they could come up with novel algorithms and data methods.

That being said, data science is becoming one of the most well-suited occupations for success in the twenty-first century. It is computerized, programming-driven, and analytical in nature. Consequently, it comes as no surprise that the need for data scientists has been increasing in the employment market over the last several years.

The supply, on the other hand, has been quite restricted. It is challenging to get the knowledge and abilities required to be recruited as a data scientist.

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