Programming for Data Science with R

Bo0mB0oma · March 23, 2019

Programming for Data Science with R

.MP4, AVC, 200 kbps, 1920x1080 | English, AAC, 160 kbps, 2 Ch | 4h 2m | 872 MB

Instructor: Rajat Jatana

Data is everywhere and growing faster than ever before. It has now become challenge to deal with such huge amount of data as it is highly time-consuming. This has created a huge demand for people who can mine and interpret data.

There is enormous value in data processing and analysis-and that is where a data scientist steps into the spotlight.

This course will help candidates having basic knowledge of R Programming elevate to the next level. R can be used to tease actionable insights out of gigabytes of data, and this course will show you exactly how to do it. Here, we will be building on the advanced and efficient ways of doing different parts of analytics- right from data cleaning, visualizing to building high performing models You'll start your journey by loading data, visualizing it and interpreting it while providing intuitive solutions. Further, you will learn to apply machine learning algorithms to real-world problems in R.

By the end of the course, get geared up to tackle real-life data challenges by analyzing complex datasets. This in turn will bring out insights that companies can convert into actions.

What You Will Learn

Start forecasting - Create algorithms to build predictive models

Structure your data and most importantly - Wrangle, visualise and explore data

Learn from your data - Gain insights and information from data

Play with your data - Manipulate and clean it

Let your data do the talking - Visualize data using ggplot

Deploy the most popular machine algorithms like Random forest, and Decision trees to build powerful models

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