Points to be noted while Joining Data Analytics Course

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What is data analysis? In the dictionary, the term data means "facts and statistics collected for reference or analysis", while analytical means "systematic analysis of data or statistics". So in simple terms, data analysis means collecting raw data and analyzing it to get something useful, for example getting data for a product like a soda. If sales of a product have declined, the company's team of data analysts must collect the raw data and transform it into something useful to increase product sales. This is the job of a data analyst. Data analysis is now used not only in commerce but also in science. Data analysis tools help scientists and researchers verify or reject scientific models, hypotheses, etc. Eligibility baccalaureate with at least 50% of brands basic science or computer science preferable Skills statistics and mathematics acting and communication skills talent to solve problems software skills in query language, scripting language, and statistica...
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DATA ANALYTICS COURSE

THE USE OF data analytics BY E-COMMERCE RETAILER (EXAMPLE) 
Have you ever imagined why the hotel and taxi suggestions pop up the moment you book air tickets or railway tickets? What is the force behind such suggestions? 
The answer is very simple. The big data generation is responsible behind all the suggestions provided. The analysis and the mining of the big data generated at the moment you book air or railway tickets inform the data scientists about the fact that you might need hotel reservations or taxi bookings to ease up your travel to a new city or a country. This way the suggestions pop up the moment you book the tickets.
This indicates how big corporates or the enterprises are making an abundant use of the latest technology i.e. data analytics in identifying the consumer behavior patterns so as to offer them with the best possible services. 
THE WIDE RANGE OF APPLICATIONS IN THE FIELD OF E-COMMERCE 
•    PROVISION OF IMPROVED CUSTOMER SERVICES
The data scientists not only utilize and analyze the data sets associated to the consumer behavior and spending patterns, but they also take into account the evaluation of the data sets associated to the inquiries or complaints made by the customers on the websites, smartphone apps, and the social media platforms too. 
•    THE POWER OF PREDICTION 
In today's era, the customer is termed to be the king of the market. They have started expecting more from the E-COMMERCE websites, but it is not necessary that these expectations are mentioned in the comments section provided on the websites. 
This is the time where data analytics swoops in and try to collect data from various sources such as surveys conducted, social media platforms and the customer forums. 
The data generated from these sources assist the enterprises to work according to the customers’ expectations. 

•    PROVIDING AN EDGE OVER OTHERS 
The data analytics assists you in providing an edge over the others; staying ahead of the competition. 
Big data assist you in pricing your product dynamically by helping you to gauge your price on the portal of your competitor. 

•    CUSTOMER ACQUISITION AND RETENTION
The two most important parameters defining the success and popularity of any E-COMMERCE retailer are the customer acquisition and the customer retention. 
The field of data analytics lets you utilize and analyze the data associated with the consumer behavior and spending patterns which further helps an E-COMMERCE retailer in deciding and providing the improved offers to both old and new customers. 
Provision of the improved offers automatically leads to the achievement of two important parameters mentioned above that are, customer acquisition and customer retention. 
All the hypes and benefits discussed above assist an E-COMMERCE retailer in improving the product sales by tracking the preferences of the target customers and producing the products accordingly. This further leads to improved customer satisfaction i.e. Acquisition of new customers and retention of the old customers.
And it is always said that ‘The improved customer satisfaction is the key to growth and success of any enterprise.’ Pursuing DATA ANALYTICS CERTIFICATION provided by 360digitmg would assist you in advancing your career so as to reach greater heights.
 

Address: 360DigiTMG - Data Science, IR 4.0, AI, Machine Learning Training in Malaysia
Level 16, 1 Sentral,, Jalan Stesen Sentral 5,, KL Sentral,KL Sentral 50470 Kuala Lumpur, Malaysia
phone no: 011-3799 1378

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