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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BEST TOOLS FOR DATA ANALYTICS COURSES

INTRODUCTION
The growing importance of the usage of data analytics in almost every field and domain of the markets and industry has brought about a change in the world that can be easily deemed as a revolution. Analytics has really helped us to look at things from a different perspective, get a better understanding of human behavior while delivering groundbreaking results and findings at the same time- results that are mostly used by businesses and organizations to give them a competitive edge over their rivals and boost their cash flow as a consequence.
The work that analysts do appears to be really fascinating and appealing to many which it actually is. Seeing all those numbers and data being manipulated and transformed into priceless information is sure bound to garner a lot of attention leaving a lot of budding enthusiasts with the question “What exactly should I learn” in order to do what the other person is doing. So here we compile a list of some tools that you should get expertise in if being an analyst is your dream.

BEST AND MOST POWERFUL ANALYTICS TOOLS
Without much ado, let us delve straight into the list-
  1. R
Don’t underestimate this single character word for it is probably the most powerful and loved programming language amongst analysts while dealing with all sorts of numbers and statistics related things. Owing to its extremely vast list of libraries, R has the capability to manipulate your data in ways that are even beyond our imagination.

  1. Python
Python is probably the most powerful programming language in the world at the moment. With a library list of a well over 20,000 libraries, there is not much that Python cannot really do. Being extremely easy to write (syntax wise) and powerful in handling even the biggest of datasets in a fluid manner, Python is the go-to platform for almost every analyst for all sorts of needs.

  1. Excel
A surprise entry on the list is the good old Microsoft tool from the MS Office package named MS Excel. Does not matter whether you are a novice or an absolute expert, you just cannot get your work done without Excel for there does not exist anything better that can analyze all your complex tasks and summarize them in a tabular format. Also, it’s really advanced analytics features (available in Office 15 and above) make designing of models, measure creation, etc. make your work more simplified than you could ever ask for.

  1. Rapid Miner
Doing predicate calculus is something that really haunts a large proportion of data analysts for it is nothing short of playing God as it deals entirely with understanding data patterns to predict future events and trends which is easier said than done. This is the place where Rapid Miner comes into play- a really powerful platform that can do analytics in real-time on real-time information fed into it. All one needs to do is feed in the required settings and result basis and voila! Your results are staring in your face in no time all thanks to concepts such as machine learning, deep learning, text mining, predictive analysis, etc. all coming together in one place.

RESOURCE BOX
Data analytics is without a doubt the most rewarding domain in the market right now both in terms of career opportunities as well as the money. The demand and supply chain for professional experts is not at equilibrium in the industry, which is why it would only be wise enough to take up a data analytics course and forge your way into an industry full of promises.


Address: 360DigiTMG - Data Science, IR 4.0, AI, Machine Learning Training in Malaysia
Level 16, 1 Sentral,, Jalan Stesen Sentral 5,, KL Sentral,KL Sentral50470 Kuala Lumpur, Malaysia
phone no: 011-3799 1378 For more information:


https://360digitmg7.webnode.com/

https://360digitmg.soup.io/

http://businessanalytics360digitmg.unblog.fr/all-about-business-analytics/

https://360digitmg6.webnode.com/






Location: Level 16, 1, Jalan Stesen Sentral 5, Kuala Lumpur Sentral, 50470 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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