English | Size: 4.14 GB
Genre: eLearning
Learn to Code in Python and How to use NumPy, Pandas, Matplotlib and Seaborn by real time Machine Learning project.
What you’ll learn
Learn Fundamentals of Python for effectively using Data Science
Use Python for Data Science and Machine Learning
Refresh Python basics with crash course
Make use of Numpy and Pandas to implement numerical algorithms
Data Manipulation
Learn to use NumPy for Numerical Data
Array and Matrix manipulation Library NumPy
Learn to use Numpy for Data Manipulation
Numpy functions
Understand and code using the Numpy stack
Learn to use Pandas for Data Analysis
Three important data structure of pandas : Series, Data Frame, Panel
Data Visualization
Visualise Data using Matplotlib and Seaborn
Are you ready to start your path to becoming a Data Scientist or ML Engineer?
This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!
Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world’s most interesting problems!
This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!
This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for data science and machine learning on Udemy!
We’ll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning:
Programming with Python
NumPy with Python
Using pandas Data Frames to solve complex tasks
Use pandas to handle Excel Files
Visualize Data using Matplotlib and Seaborn
Who this course is for:
Beginner Python developer who is curious about Data Science, Not for experienced Data Scientist
Anyone who want to make career in Data Science, Data analytics
This course is meant for people with at least some programming experience
Anyone who plans a career in data scientist,
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