Introduction to Data Science
> Programming in R > Probability & Statistics > Exploratory Data Analysis > Data Analysis in Depth
http://bit.ly/2U3O00t
Python for Data Visualization & Fraud Detection Bootcamp
> Make a Credit Card Fraud Detection Model in Python. Learn how to keep your data safe! > Learn TensorFlow and how to build models of linear regression > Understand basic 3D plotting.
http://bit.ly/2OECIwO
Python for Everybody
> Python Data Structures > Using Python to Access Web Data > Using Databases with Python
http://bit.ly/2OkxeXS
DataScience New York 2019(January 23-24)
Join us in New York, January 23-24, for this unique peer-to-peer event for top data science minds. Explore how to drive innovation within your business through a data-driven culture, build a world-class team, and utilize the latest innovation to solve some of the toughest problems facing corporate America.
Book your tickets: http://bit.ly/2OWuepR
Data Science Bootcamp: Pay only after you get a data science job.
> Unlimited 1:1 mentor support > Hands-on experience > Job guarantee
http://bit.ly/2L4aBJC
Bayesian Machine Learning in Python: A/B Testing
> Use adaptive algorithms to improve A/B testing performance > Understand the difference between Bayesian and frequentist statistics > Apply Bayesian methods to A/B testing
http://bit.ly/2qndfOZ
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Metals, Miners and Forex Premium Membership
> Daily and Weekend updates on the following Metals: Gold, Silver, Platinum > Daily and Weekend updates on the following Mining ETFs: GDX/GDXJ, SIL, PPLT > Daily and Weekend updates on the following Currencies: USD, AUSD, YENN and others as/if opportunity arises.
http://bit.ly/2H0soNU
Data Engineering, Big Data, and Machine Learning on GCP
> Google Cloud Platform Big Data and Machine Learning Fundamentals > Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform > Serverless Data Analysis with Google BigQuery and Cloud Dataflow > Serverless Machine Learning with Tensorflow on Google Cloud Platform
http://bit.ly/2U1TJJ5
Artificial Intelligence and Machine Learning Foundation
> Understand AI/ML Fundamentals, Supervised, Unsupervised Learning, Computer Vision and Natural Language Processing.
http://bit.ly/2GFfbx4
Data Science Career Track Prep Course
Learn the foundational coding and statistics skills needed to pass our Data Science Career Track admissions challenge.
> Use Python to complete real-world coding exercises and begin your data science journey > Confidently tackle our Data Science Career Track admissions challenge
http://bit.ly/2Xrb4fk