Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!
This is a great course by Jose Portilla who has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science and programming. …
This comprehensive course will be your guide to learning how to use the power of Python to analyse data, create beautiful visualisations, and use powerful machine learning algorithms!
What you will learn from this course:
- Use Python for Data Science and Machine Learning
- Use Spark for Big Data Analysis
- Implement Machine Learning Algorithms
- Learn to use NumPy for Numerical Data
- Learn to use Pandas for Data Analysis
- Learn to use Matplotlib for Python Plotting
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!
“Overall, I felt this course was an excellent introduction to Data Science, particularly for Python coders. I especially enjoyed the lessons on Data Visualizations.”
“This course has really enlightened me in the area of Python Programming.”
“Absolutely, without a doubt, this is really awesome to learn this tutorial in a very detailed and professional way.”
Note: Some of these courses might be free. But if you decide to purchase anything (using the links below) you’ll be financially supporting this publication. Thanks for your support.
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