Data Manipulation in Python: Master Python, Numpy & Pandas
When it comes to attractiveness, data scientists are already at the top of the list. It's difficult to maintain them after they've been hired in a highly competitive employment market. It's difficult to locate people with a unique combination of scientific training, computer expertise, and analytical skills.
Modern-day data scientists, like the Wall Street "quants" of the 1980s and 1990s, are expected to have a comparable skill set. People with physics and mathematics backgrounds attracted to investment banks and hedge funds in those days because they could devise new algorithms and data approaches.
Data science, on the other hand, is quickly becoming one of the most well-suited professions for success in the twenty-first century. It is a computer-based, programming-driven, and analytical system. As a result, it's no surprise that the demand for data scientists has been expanding in the job market over the previous few years.
On the other hand, supply has been extremely limited. It is difficult to acquire the necessary information and skills to be hired as a data scientist. There are numerous online resources for learning Python. As a result, students are frequently intimidated by Python's steep learning curve.
Requirements:
- No prior data science knowledge required
- No programming experience needed
Who this course is for:
- No previous skills or expertise required. Only a drive to succeed!
Subtitles: English
Udemy Rating: 4.3/5.0
Enroll here: https://www.udemy.com/course/master-data-science-in-python/
