Last Updated on by
How Predictive Analytics In Data Science Differs From Statistics
It’s a well evident fact that the present age of analytics is being dominated by technologies like Data Science, Artificial Intelligence & Machine Learning, Both Data Science & Machine Learning are two distinct technologies which are often used interchangeably. There’s no denying that a slight overlap exists between these two technologies, but on a broader scale, both these technologies differ in terms of roles & responsibilities, process implementations, or results.
Statistics & Predictive Analytics are among the crucial processes in analytics in Data Science. If you are a Data Science career enthusiast, then having intense knowledge of statistics & predictive analytics is crucial to interpret with Big Data accurately & to achieve the desired goals & objectives.
Master the core cognitive skills involving Data Science right from the very beginning to advanced topics by getting enrolled for the Kelly Technologies Data Science Training In Hyderabad program.
Now, let’s understand how Predictive Analytics in Data Science differs from Statistics
Predictive Analytics is all about making accurate predictions by analyzing the present & historical data. By subjecting the data to Predictive Analytics, we can By subjecting the data to Predictive Analytics, analysts can accurately predict the occurrence of events, results, identify the behavioral changes, and trends.
It obtains accurate results about the target variable based on the provided input variables.
Statistics in Data Science helps the Data Scientists or to obtain clear insights about the data based on numerical facts. The use of statistics can also be seen in different Machine Leaning processes involving Data Science. There are two different types of Statistical Models in data Science namely Descriptive Statistics which uses mean or standard deviation to summarize the data & Inferential Statistics whose outputs are based on observation errors & sample variation
Statistics will be playing a crucial role in the data modeling process in Predictive Analytics.
Know more in-depth about Statistical & Predictive Modeling concepts in Data Science by being a part of Kelly Technologies advanced Data Science training program.
Kumar Raja is a multidisciplinary writer, and lifelong learner. He’s a Digital Marketer in the making who spends his time analyzing the developments in the tech world. He’s very passionate about helping people understand the latest trends in the tech world through his well-researched articles. He’s able to condense complicated information about the latest technologies into easily digestible articles.