Denizey - Course details
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Course Details

Description

Are you ready to start your path to becoming a Data Scientist! 

This comprehensive scholarship will be your guide to learn 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 scholarship is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!

This comprehensive scholarship is comparable to other Data Science bootcamps that usually cost thousands of dollars.

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 scholarship and become a data scientist today!

What You Will Learn

  • Use Python for Data Science and Machine Learning
  • Implement Machine Learning Algorithms
  • Learn to use Pandas for Data Analysis
  • Learn to use Seaborn for statistical plots
  • Use SciKit-Learn for Machine Learning Tasks
  • Logistic Regression
  • Random Forest and Decision Trees
  • Neural Networks
  • Use Spark for Big Data Analysis
  • Learn to use NumPy for Numerical Data
  • Learn to use Matplotlib for Python Plotting
  • Use Plotly for interactive dynamic visualizations
  • K-Means Clustering
  • Linear Regression
  • Natural Language Processing and Spam Filters
  • Support Vector Machines

Requirements

  • Some programming experience.
  • Knowledge in at least one programming language.
  • Good Understanding of Object Oriented Programming OOP
  • Good understanding of Database MySQL

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