Data Science and Machine Learning in Python
Learn how to use NumPy, Pandas, Seaborn , Scikit-Learn , Machine Learning, SQL and Tableau in one place!!
Description
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!
Harvard suggest that one of most important jobs in 21st century is a "Data Scientist"
Data Scientist earn an average salary of a data scientist is over $120,000 in the USA ! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!
If you have some programming experience or you are an experienced developers who is looking to turbo charge your career in Data Science. This course is for you!
You don't need to spend thousand of dollars on other course , this course provides all the same information at a very low cost..
With over 125+ HD lectures(Python, Machine Learning, SQL,TABLEAU) and detailed code notebooks for every lecture , it is an extremely detailed course available on Udemy.
Basically everything you need to BECOME A DATA SCIENTIST IN ONE PLACE!!
You will learn true machine learning with Python, programming in python, data wrangling in Python and creating visualizations.
Some of the topics you will be learning:
Programming with Python
NumPy with Python
Data Wrangling in Python
Use pandas to handle Excel Files, text file, JSON, Cloud(AWS) and others
Connecting Python to SQL
Use Seaborn for data visualizations
Complete SQL Using PostgreSQL
TABLEAU - One of the best data visualization software
Machine Learning with SciKit Learn, including:
Linear Regression
Logistic Regression
K Nearest Neighbors
K Means Clustering
Decision Trees
Random Forests
Support Vector Machines
Naive Bayes
Hyper Parameter tuning
Feature Engineering
Model Selection
and much, much more!
Enroll in the course and become a data scientist today!
What You Will Learn!
- Machine Learning in Python
- Complete SQL BootCamp Using PostgreSQL
- TABLEAU - The Best Visualization Software
- Data Science concepts
- Data Wrangling, Cleaning and Data Preparation for Machine Learning
- Supervised and Unsupervised machine learning
- Python
- Model Selection
- Feature Engineering
- Dimensionality Reduction
- Regression
- Classification
Who Should Attend!
- Beginner Data Science/Machine Learning Enthusiast who want to step into the world of Machine Learning.
- Anyone who wants to be become a Data Scientist