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Digital Automation
Digital automation process brings together people, applications, devices, and information across an organization to produce a truly agile and digital organization.
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Digital Marketing
Promot your brands to connect with potential customers using the internet and other forms of digital communication. Such as email, social media, and web-based advertising.
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Data Analytics
A data analyst is the process of extracting raw data, organize it, and then analyze it, transforming it from incomprehensible numbers into intelligible information.
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Data Engineering
Designing and building systems to analyze raw data from multiple sources. Which empower to find practical applications of the data, which businesses can use to thrive.
Explore MoreDigital Automation
Digital Automation is the process of using advanced digital tools like no-code development solutions to create, automate, and optimize business operations. The purpose of digital automation is to eliminate human intervention in business processes so that the workforce can focus on more value-adding tasks.
Maintaining transparency across processes
Automating customer tasks
Triggering notifications and reminders
Creating an easily collaborative atmosphere
Digital Marketing
Digital marketing allows businesses to reach and engage with their target audience more effectively, ultimately driving growth and revenue. As the importance of online presence for businesses continues to grow, the demand for digital marketing professionals will also increase.
High earning potential
Flexibility
Variety of roles
Constant evolution
Entrepreneurship
Data Analytics
In this age of information, the internet has made it easy for anyone to gain information whenever and wherever they need, data has become a way of future. data analysis helps companies make informed decisions, create a more effective marketing strategy, improve customer experience, streamline operations, among many other things.
High salaries
Opprtunity in all indystry
High demand
Analytics is everywhere
Data Engineering
Data engineers work in a variety of settings to build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret. The ultimate goal is to make data accessible so that organizations can use it to evaluate and optimize their performance.
Backbone of Data Science
It Pays Well
High demand
Technically Challenging
Frequently asked questions
ATES is a training program launched by Amazon to train individuals on its e-commerce ecosystem. ATES, as professional consultants, helps sellers to launch, maintain and grow their business on Amazon. This program provides an opportunity to earn money with no limits by launching new sellers and helping existing sellers selling on Amazon.in.
- Working Professionals
- Business Owners
- College Students
Anyone can attend this training and learn ecommerce, however these basic criteria should be met.
You should be above the age of 18 years.
You should have basic computer knowledge.
You should be citizen of India only.
Yes, you will get 34 video courses of Digital Marketing with lifetime access, that covers everything like, website creations, social media marketing, google ads etc.
To add a new question go to app settiIf not Analytics what else do you think can help boost your career?
* Knowing Analytics is vital in any profession – whether you’re into operations, logistics, sales, market research or any other field. It’s the best medium to help you take better business decisions and find solutions by accessing the data available to you.
* To understand the data, you should first know how to look at the data and this is where a data mining tool and Analytics techniques come in handy.
* Analytics tools will help you clean your messy data and give you the appropriate value that you’re looking for.
* By looking at the data report you can’t find any solution but by applying predictive techniques you’ll be able to successfully forecast and suggest the solution for a given problem.
* At ATI we offer you a combination of all the necessary tools in the market combined with useful Analytics techniques.ngs and press "Manage Questions" button.
* By the end of this course Data won't be as overwhelming as it used to be and you’ll be making great insights like a pro.
* You’ll now be able to apply what you learnt across multiple areas like HR, marketing, finance, sales, sports etc.
* This will also allow you to use advanced tools like R and SAS which are industry requirements in analytics.
* You will be able to build Predictive Models like Logistic and Linear regression.
* You will be able to relate any concept with real life examples.
If you have a keen interest in maths, resolving answers to statistical questions, helping companies in making decisions, then the answer is a big YES!!
