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10 Courses

Introduction to Python for Data Science
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Introduction to Python for Data Science

Want to use Python for data science and analysis? Look no further!  

This virtual, instructor-led bootcamp will equip you with the basics, advanced techniques, and offer you an opportunity to apply your knowledge on a project.


Creating a Titanic Kaggle Competition Model
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Creating a Titanic Kaggle Competition Model

Discussion on a machine learning model using Titanic dataset for Kaggle competition and to apply advanced cleaning functions for the model using Rstudio.

Introduction to Azure ML
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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.

Web Scraping in R
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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.

Introduction to dplyr
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Introduction to dplyr

An introduction to dplyr - one of the packages in R. Discussion on performing data manipulation with dplyr, demonstrated using a dataset on wine ratings available on Kaggle.

Introduction to R Programming
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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.

Introduction to Text Analytics with R
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Introduction to Text Analytics with R

An introduction on text analytics R followed by a detailed discussion on exploring data pipelines, building a model, and optimizing the model for the best generalization on new/unseen data in Rstudio.


Beginning R Programming
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Beginning R Programming

Introduction to the fundamental principles of programming in R - from writing the first program to data types, variables, objects, and functions available in R and their usefulness in data science.

Time Series Analysis and Forecasting using Python
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Time Series Analysis and Forecasting using Python

Time series is a series of data points ordered in time recorded at regular intervals of time. Reading and transforming a data set for time series using Python's pandas package is an essential skill for data scientists.

Data Mining Fundamentals
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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.