Data Analytics Training Course

Retail analytics software is a tool used to provide detailed analytical data on key performance indicators used to track transactions, units per customer, volume of sales, return rates and many others while empowering actionable and effective business insights.

To classify if the borrower will default the loan using borrower's finance history. That means ,given a set of new predictor variables, we need to predict the target variable as 1 -> Defaulter or 0->Non-Defaulter .The metric we use to choose the best model is 'False Negative Rate'.

Using the concepts and tools of the Big data, we will collect and store a large amount of data from tweets. This data will be further used for analyzing and extracting sentiments using Natural Language processing techniques.

Demand forecasting is the result of a predictive analysis to determine what demand will be at a given point in the future. Forecasts are determined with complex algorithms that analyze past trends, historic sales data, and potential events or changes that could be factors in the future. Multiple parts of any supply chain can benefit from demand forecasting.

Market basket analysis is a data mining technique used by retailers to increase sales by better understanding customer purchasing patterns. To perform a Market Basket Analysis and identify potential rules, a data mining algorithm called the 'Apriori algorithm' is commonly used, which works in two steps: Systematically identify itemsets that occur frequently in the data set with a support greater than a pre-specified threshold.

Here are six things to know that will help make the right decisions as you grow and manage your startup. Invest in the Right Analytics Team. ... Collect the Right Data. ... Make Key Technology Decisions Early. ... Measure Your Results. ... Find the Supportive Investors. ... Growth Hacking for Startups. ... Learn Data Analytics with Dataquest.

Predictive analytics in insurance can help insurers identify and target potential markets. Data can reveal behavior patterns and common demographics and characteristics, so insurers know where to target their marketing efforts. Using analytics, insurance companies can reduce costs, minimize waste and improve profitability for claims.

The dataset we’ll be working with is the state of Oregon’s COVID case and death numbers by county. Our goal is to forecast the number of cases and deaths in each county on any given day. The dataset has already been divided into two files, training and test. We’ll download them using the cached_download() function.

Lead scoring is the process of ranking the sales-readiness of a lead using a predetermined methodology. The process goes like this: You determine which criteria or data points indicate a sales qualified lead and then assign point values to each of those criteria, ultimately leaving you with a final score for each lead