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58 Courses

Data Manipulation with dplyr
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Data Manipulation with dplyr

An introduction to dplyr and its usefulness in data manipulation. The use of dplyr to mung data while demonstrating with a Kaggle dataset on wine ratings.

Machine Learning Models – Building a Business Case for Your Idea
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Machine Learning Models – Building a Business Case for Your Idea

Discussion on building a business case for machine learning models and working with a new model, followed by a 10-step checklist with examples to build a business model.

Ethical Dimensions of Data Science
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Ethical Dimensions of Data Science

Introduction to the common ethical concerns and dilemmas in the field of data science. Possible opportunities for data scientists to move past ethical evils and pave the way for a brighter future.

Feature Engineering for Bot Detection
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Feature Engineering for Bot Detection

Introduction to various aspects of feature engineering for bot detection of automated web traffic. Developing an understanding of the impact on online business and types of web bots available.

Online Experimentation and A/B Testing
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Online Experimentation and A/B Testing

Overview of the A/B testing technique along with the usefulness of this testing mechanism in an online business. The common issues and pitfalls in A/B testing when running online experiments.


Building Robust Machine Learning Models
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Building Robust Machine Learning Models

Fundamentals of building robust machine learning models. Effective models require due diligence during data acquisition phase and an increased focus on data quality.

Data Visualization with R and ggplot2
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Data Visualization with R and ggplot2

Introduction to data visualization with r and ggplot2 in terms of its sheer breadth and control over crafted data visualizations. Better visualization ensures better data analysis.

Power BI Storytelling
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Power BI Storytelling

Data storytelling is the most effective communication tool in data science. Impactful storytelling with Power BI can be of great help in the world of data.

Introduction to Online Experimentation and A/B Testing
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Introduction to Online Experimentation and A/B Testing

Introduction to the best practices of designing and evaluating A/B and multi-variate tests. Discussion on the choice of appropriate metrics, avoidance of errors, and interpretation of results.

Caret Package – Machine Learning with R
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Caret Package – Machine Learning with R

Introduction to the use of Caret in implementing some of the most common tasks of a data science project. The significance of Caret in the daily tasks of a data scientist.

R Programming for Excel Users
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R Programming for Excel Users

Using the expertise in Microsoft Excel to quickly learn R programming. Application of R in data analysis and visualization with the help of prior knowledge of Excel.

Power BI for R Visualizations
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Power BI for R Visualizations

An introduction to the use of R visualizations using Microsoft's free Power BI desktop software. A hands-on experience of Power BI can be of immense value in data science.

Data Analysis with Excel
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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.

Event Log Mining with R
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Event Log Mining with R

Event logs are everywhere and these represent a prime source of Big Data. Using the OSS tools of R and ProM, a data scientist can create mine event logs efficiently.

Unstructured Text With Python, MS Cognitive Services & PowerBI
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Unstructured Text With Python, MS Cognitive Services & PowerBI

An introduction to the unstructured text and how to make sense of it with the help of text and sentiment analysis taken fro, some notable examples in the industry.

Big Data Scaling in R Using Hadoop and Spark
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Big Data Scaling in R Using Hadoop and Spark

Discussion on wrangling data out of an HDFS and building machine learning models from a large dataset that can then be deployed to an elastically scaled web service for insights.

LIGO – Listening to the Melody of the Universe
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LIGO – Listening to the Melody of the Universe

An introduction to the organizational structure and science behind LIGO detectors, and the data processing techniques that enabled gravitational wave detection.

Sentiment Pipeline for Live Tweets
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Sentiment Pipeline for Live Tweets

An introduction to building a real-time analytics pipeline from sentiment classification model in Azure ML and R. Real-time dashboarding with Power BI and C# using a Twitter dataset.

Predictive Modeling with R and Azure ML
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Predictive Modeling with R and Azure ML

Introduction to the end-to-end process of building a predictive model, starting with R and then using Azure ML Studio. Azure ML speeds up the experimentation, making the process efficient.

Completing the Titanic Kaggle Competition in Azure ML
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Completing the Titanic Kaggle Competition in Azure ML

Kaggle is an online community for data scientists that offers machine learning competitions. Complete the Titanic model in Azure ML to get better insights into Kaggle problems and their solutions.