ExcelR – Business Analytics Tutorials for Beginners. In this video learn about Heteroscedasticity and Logistic: Source of Heteroscedasticity, Detection of Heteroscedasticity, Remedies of Heteroscedasticity in Business Analytics.

One of the key assumptions of regression is that the variance of the errors is constant across observations.

If the errors have constant variance, the errors are called homoscedastic. Typically, residuals are plotted to assess this assumption. Standard estimation methods are inefficient when the errors are heteroscedastic or have non-constant variance.

Business Analytics Training for Beginners (2018). This introduction gives you a brief explanation about the basics of R. And all the information about installation of R and its usage.

Business Analytics Training Course Content:

Online Tableau Tutorials for Tableau Developers (2018) checkout here:

About Certified Data Scientist Training Program:

What is Business Analytics /Data Analytics?
Business Analytics or Data Analytics is an extremely high-in-demand profession which requires a professional to possess sound knowledge of analyzing data in all dimensions and uncover the unseen truth coupled with the logic and domain knowledge to impact the top-line (increase business) and bottom-line (increase revenue).

Also Google Trends shows the upward trajectory with an exponential increase in volume of searches like never seen before. This is proof enough to back the statements made by Harvard Business Review and the business research giants, that Business Analytics will be the most sort after professional world has ever witnessed.

What is a Data Scientist? Or Rather Who is a Data Scientist?
Data for a Data Scientist is what Oxygen is to Human Beings. This is also a profession where statistical adroit works on data – incepting from Data Collection to Data Cleansing to Data Mining to Statistical Analysis and right through Forecasting, Predictive modeling and finally Data Optimization. A Data Scientist does not provide a solution; they provide most optimized solution out of the many available.

Gartner predicted in 2012 that Data Scientist & Business Analytics jobs will increase to the tunes of Millions by the end of 2015. This is very evident with the rise in job opportunities in various job portals. As a Data Scientist or an aspirant you should not believe us. Go! research for your own and confirm the facts and figures.

Who Should do The Course?
Professionals who can consider Business Analytics / Data Analytics Certification Training as a next logical move to enhance in their careers includes:
Professionals working on Business intelligence & reporting tools
Professionals working on Data warehouse technologies
Statisticians, Economists, Mathematicians
Software programmers (they have an edge in writing code to accomplish a prediction/classification/forecasting model)
Business analysts (they have an edge in terms of industry/sector/domain experience)
Six Sigma consultants who already have exposure to statistics
Freshers (market demand is thriving organisations to hire the freshers trained on analytics)
How to become a Data Scientist?
Accrue knowledge on dealing with data by getting trained and/or certified by any of the well-known institutes which have rich experience working closing with the ever evolving industry.
Knowing data analytics tools or data mining software alone will not help you analyze data.

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