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Introduction to Azure ML

An introduction to Azure Machine Learning studio followed by the explanation of basic tasks such as creating a workspace, data exploration and visualization, and building a machine learning model.

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Web Scraping in R

An introduction to web scraping in R. Using R to write standard web scraping commands, schedule email alerts of analysis, and use taskscheduleR to set up an automated web scraping script.

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Introduction to R Programming

Discussion on the fundamentals of R - from installing R and its benefits to the interface, functions, and data types. The usefulness of R in data science cannot be overstated.

No Cost

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Data Mining Fundamentals

A detailed introduction to Data Mining, starting with the basic vocabulary used in various processes and discussion on major issues and how to tackle them in the real-world.

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Data Storage Systems

Overview of various storage systems from Redshift, MySQL, and Hadoop to a list of other data systems used for analytical and operational purposes to take better decisions.

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What is a Data Engineer

Everything about the role and responsibilities of a Data Engineer. From data pipelines and storage systems to managing metrics, models, and dashboards, a Data Engineer does it all.

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NLP 101 + Chatbots

The basics of Natural Language Processing, its components, and enterprise applications. Using NLP to build a simple chatbot that can deal with some Frequently Asked Questions (FAQs).

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Data Analysis with Excel

Proper analysis of business data is one of the fundamental skills for a data professional. Microsoft Excel is a strong tool that can ensure data analysis in a robust manner.

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