Get best certified training in Business Analytics with R Programming
This course includes:
8 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of completion
What you'll learn
Successful installation of R studio
Gain hands-on experience in analysing & solving business problems using Analytics R Tools
Decoding 'what' & 'how' aspects of data collection
Machine learning covering all important topics like standard error, variance, p value, t-test, etc.
Gain insights into industry best practices for data measurement & analysis
Applying analytics-based financial decision making to drive company's ROI
To take actionable data-driven decisions to increase market share
To handle packages in R
To develop goal-oriented business strategies
Enhance your analytical skills to add value to your portfolio
Description
The digitization of the modern world has forced businesses to hire professionals who are well-informed and skilled in using modern tools, and remain relevant, competitive, and ensure growth. As businesses demand smarter analytics now, a Business Analyst Course must include R Programming Language, as for today’s Analysts R is considered to be a magic wand that will, on one hand, help in handling complex and Big data, and on the other hand, assist in analyzing it productively.
With a manifold increase in the demand for Business Analyst professionals globally, this course has turned out to be a good bet and best return on investment for many candidates who have successfully bagged high-paying jobs in varied industries.
Learning Benefits of this Course
Know all about data visualization with base R & libraries like ggplot2, etc.
Become proficient in machine learning models like a neural network, linear regression, logistic regression, etc.
Get insights from industry best practices for data measurement & analysis
Communicate business objectives in a focused manner with data analysts & help evaluate results of data analysis better.
Develop goal-oriented business strategies
Gain a full view of customers across different channels by accessing, integrating & analyzing
Customer data through multiple sources & engage customers in real-time
Understand the affinity of product by analysing transactional data
Understand analytics-based-financial decision making to drive the company's ROI
Take actionable data-driven decisions to increase market share
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