Python for Data Science: Learn Data Science From Scratch
Data Science with Python, NumPy, Pandas, Matplotlib, Data Visualization Learn with Data Science project & Python project
4.62 (92 reviews)
449
students
19.5 hours
content
Feb 2025
last update
$69.99
regular price
What you will learn
Fundamentals of Pandas Library (Data science, Python data science, data science project, python project)
Learn Fundamentals of Python for effectively using Data Science
Installation of Anaconda and how to use for Python, Pandas, Numpy
Using Jupyter notebook
Numpy arrays
Series and Features in Python for Data science, numpy and pandas
Combining Dataframes, Data Munging and how to deal with Missing Data
How to use Matplotlib library and start to journey in Data Visualization
Also, why you should learn Python and Pandas Library (numpy, pandas, python numpy pandas)
Learn Data Science with Python, Numpy and pandas
OAK offers highly-rated data science courses that will help you learn how to visualize and respond to new data, as well as develop innovative new technologies
Whether you’re interested in machine learning, data mining, or data analysis, Udemy has a course for you.
Data science is everywhere. Better data science practices are allowing corporations to cut unnecessary costs, automate computing, and analyze markets.
Data science is the key to getting ahead in a competitive global climate.
Data science uses algorithms to understand raw data. The main difference between data science and traditional data analysis is its focus on prediction.
Data Scientists use machine learning to discover hidden patterns in large amounts of raw data to shed light on real problems.
Python is the most popular programming language for data science. It is a universal language that has a lot of libraries available.
Data science requires lifelong learning, so you will never really finish learning.
It is possible to learn data science on your own, as long as you stay focused and motivated. Luckily, there are a lot of online courses and boot camps available
Some people believe that it is possible to become a data scientist without knowing how to code, but others disagree.
A data scientist requires many skills. They need a strong understanding of statistical analysis and mathematics, which are essential pillars of data science.
The demand for data scientists is growing. We do not just have data scientists; we have data engineers, data administrators, and analytics managers.
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3114550
udemy ID
5/11/2020
course created date
5/22/2020
course indexed date
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