Description
What you’ll learn
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Use Python for Data Science and Machine Learning
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Learn to use Pandas for Data Analysis
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Learn to use Seaborn for statistical plots
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Use SciKit-Learn for Machine Learning Tasks
Are you ready to start your path to becoming a Data Scientist!
This 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 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!
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
Web scraping with python
Connect Python to SQL
Use matplotlib and seaborn for data visualizations
Machine Learning with SciKit Learn, including:
Linear Regression
K Nearest Neighbors
Decision Trees
Random Forests
Natural Language Processing
Support Vector Machines
and much, much more!
Enroll in the course and become a data scientist today!
Who this course is for:
- Beginner Python developers curious about data science
Course content
- Introduction23 lectures • 5hr 6min
- Introduction
- Data Science Libraries12 lectures • 3hr 13min
- Data Science Libraries
- Machine Learning8 lectures • 2hr 1min
- Machine Learning
- Deep Neural Network (DNN)6 lectures • 1hr 43min
- Deep Neural Network (DNN)
- Convolutional Neural Network (CNN)6 lectures • 1hr 21min
- Convolutional Neural Network (CNN)
- Computer Vision Application4 lectures • 1hr 13min
- Computer Vision Application
- Natural Language Processing8 lectures • 2hr 12min
- Natural Language Processing
- Model Deployment2 lectures • 28min
- Model Deployment
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