Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more
What you'll learn
·
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
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Learn to use Pandas for Data Analysis
·
Learn to use Matplotlib for Python Plotting
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Learn to use Seaborn for statistical plots
·
Use Plotly for interactive dynamic visualizations
·
Use SciKit-Learn for Machine Learning Tasks
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K-Means Clustering
·
Logistic Regression
·
Linear Regression
·
Random Forest and Decision Trees
·
Natural Language Processing and Spam Filters
·
Neural Networks
·
Support Vector Machines
Requirements
·
Some programming experience
·
Admin permissions to download files
Are you ready to start your path to becoming a
Data Scientist!
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
- Web
scraping with python
- Connect
Python to SQL
- Use
matplotlib and seaborn for data visualizations
- Use
plotly for interactive visualizations
- Machine
Learning with SciKit Learn, including:
- Linear
Regression
- K
Nearest Neighbors
- K
Means Clustering
- Decision
Trees
- Random
Forests
- Natural Language
Processing
- Neural
Nets and Deep Learning
- Support
Vector Machines
- and
much, much more!
Enroll in the course and become a data scientist today!
Who this course is
for:
· This course is meant for people with at least some programming experience
https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/
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