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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SCOPE OF DATA ANALYTICS CERTIFICATION MALAYSIA

SCOPE OF DATA ANALYTICS CERTIFICATION MALAYSIA
Data analytics is a process that includes discrete techniques which help enhance the business-related profits. Different patterns and data are obtained and analyzed differently in different organizations according to their specifications and requirements which further aids in obtaining the conclusion from the data. It ameliorates the decision making of each organization using this technology. Data analytics has a broader concept. Mainly the perspective of data analytics is to boost efficiency and to develop the production of an organization which is a great factor needed to succeed in this highly competitive world. Data is accessible to everyone in the organization which in one or the other way enhances the productivity of the organization. 
Data analytics has various applications in diverse fields which are endless. Several areas in which data analytics is used:
  • security
  • banking and finance
  • healthcare
  • internet searches
  • smart cities planning development
  • risk detection
  • risk management
  • web provisions
  • customer interaction 

 It plays a key role in every field mentioned above. It tells us the different problems the particular organization faces. Further, the required changes are made in the required area to balance the business. In regard to the applications of data analytics, we are safer today than we used to be. Also, crime rates are reduced just because of predictive analysis done by using different data (historical and geographical). Security has been assured in many cities due to this. Financial analytics helps assists the organization
by providing its financial data which decides the company’s profits and loss and according to the result obtained, the company can work to enhance its business. The other application is in internet searches, as all search engines like Google and Yahoo use different algorithms to display the appropriate result for specific queries. Banks divide and conquer their customer’s data, including all the information which helps in analyzing and detecting if any customer is a victim. With the help of it, further evaluation is completed and the decision is made to manage the particular risk.  For the other application, the commercial and financial organizations must have fast access to the internet on business days, i.e. high bandwidth which can only be done by data analytics. Feedback of customers is important so customer interaction is done to know customers' requirements and their satisfaction so the improvement can be made depending upon the customer’s needs and visions. This can be done with the help of various communication methods. So, the suitable use of data will be beneficial for the businesses as well as society.
For data analysis in Malaysia, it has the aim of fostering nearly about 20,000 data professionals by 2020. In Malaysia, ASEAN Data Analytics courses Exchange trained 1800 people from nearly 300 companies for different professions like data leaders, data managers, etc. Malaysia’s Human Resources Development Fund (MDF) will soon build up its capabilities in data analytics to achieve more success. According to MHRDF analysis, even less than 30% of workers working in different organizations have access to the training and practice needed to improve their skills. Also, the firms registered under the HRDF show a 3-4% increase in productivity. Many initiatives are being taken by the different organizations regarding investment, talent, funding,
etc.



According to further analysis global spending on data analytics and AI systems were near about $158bn in 2018 which is expected to increase global GDP by 15% by 2030 due to more and more development and technology. Malaysia is planning to build more unique strategies just to fill some gaps obstructing its path.  

For more information:
https://dataanalyticscourse360digitmg.blogspot.com/2020/04/advent-advantages-of-big-data-course.html https://dataanalyticscourse3.doodlekit.com/home#
https://dataanalyticscourse4.doodlekit.com/
https://dataanalyticscourse6.doodlekit.com/
https://www.openlearning.com/u/nakshatra-q8x7eb/blog/
https://www.openlearning.com/u/nakshatra-q8x7eb/blog/BigDataAndItsApplicationsInTheIndustry/
https://app.ex.co/stories/360digitmg10/importance-of-data-analytics-courses-in-malaysia,
http://www.articles.howto-tips.com/How-To-do-things-in-2019/digital-marketing-courses-and-potential-benefits
https://360digitmg.soup.io/
https://360digitmg02.tumblr.com/post/190962867240/data-mining-what-happens-next-will-surprise

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