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
Learn to use Pandas for Data Analysis
Learn to use Matplotlib for Python Plotting
Learn to use Seaborn for statistical plots
Use Plotly for interactive dynamic visualizations
Use SciKit-Learn for Machine Learning Tasks
Random Forest and Decision Trees
Natural Language Processing and Spam Filters
Support Vector Machines
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! Withover 100 HD video lecturesanddetailed code notebooks for every lecturethis is one ofthe 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 pandasData Frames to solve complex tasks
Use pandasto handle Excel Files
Web scraping with python
Connect Pythonto SQL
Use matplotlib and seaborn for data visualizations
Use plotly for interactive visualizations
Machine Learning with SciKit Learn, including:
K Nearest Neighbors
K Means Clustering
Neural Nets and Deep Learning
and much, much more!
Enroll in the course and become a data scientist today!