sameerk2497-blog
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sameerk2497-blog · 6 years ago
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sameerk2497-blog · 6 years ago
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sameerk2497-blog · 6 years ago
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sameerk2497-blog · 6 years ago
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sameerk2497-blog · 6 years ago
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sameerk2497-blog · 6 years ago
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sameerk2497-blog · 6 years ago
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sameerk2497-blog · 6 years ago
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sameerk2497-blog · 6 years ago
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sameerk2497-blog · 6 years ago
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sameerk2497-blog · 6 years ago
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sameerk2497-blog · 6 years ago
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sameerk2497-blog · 6 years ago
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CONCEPT OF GOOGLE ANALYTICS
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google analytics is a web analytics service which is offer by google to trace the report of website traffic, currently situation of website, performance of website
process of google analytics
 you create your Google Analytics account, you need to add the script on your website. it helps you properly and easily add google analytics  and makes sure that it’s sending all interactions to Google Analytics.
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Google Analytics to the collected data using other sources like IP address, server-log files, and other ad-serving data. Using the widened additional data, it can understand things like a user’s location, age, gender, their browser, operating system, source/medium that referred them to the site, etc. Once it’s setup, Google Analytics will drop a cookie in the user’s browser for your website
Google Analytics data processing starts with the categorization of data into users and sessions.
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When a user lands on a page with tracking code, Google Analytics creates a random, unique ID associated with the user’s browser cookie. It takes each unique ID as a new unique user. So, when a new ID is detected, Analytics considers it as a new user. But when an existing ID is detected, it’s considered as a returning user and set over with the hit.
All these metrics are really useful to learn about your users and improve your marketing strategies, SEO, and to boost your conversions.
We hope this article helped you understand how Google Analytics works.
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sameerk2497-blog · 6 years ago
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digital marketing course
why digital marketing course is best
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You should learn a course which can cover all the elements of digital marketing. Where you do not have to mug up the theory of digital marketing but where you can learn through getting real-time experience of digital marketing strategies. A good digital marketing course will include the following :
1.      Research - 
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to be a good digital marketer you must know how to collect the information about the people online or offline. Many big companies have started their business by getting an idea which is either their experience based or research based. you need to do research for collecting information.
 2.     Content Marketing - 
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Digital marketing for any product can be successful if it contains a well explained content which is easy to understand and interpret on all the social media sites i.e. Facebook, Twitter, Instagram, LinkedIn etc. Content is an important part of digital marketing.
  3.     SEO - 
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Search Engine Optimisation is an tool collect information from the internet via keywords, searches, traffic etc. This helps in knowing the behaviour of users and their insights for any product or service.
 4.     Online Promotion -
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 it simply states that in digital marketing you have to promote your product via social media sites. For instance Facebook, Instagram, Pinterest, Twitter etc. You need be very much specific about what you are posting or propagating about. If your posts are not eye-catchy or not intersting then there is no use of digital marketing. Social Media marketing has now became an essential and open source of promotion for every small to large scale company. So it should be creative and innovative
 5.     ROI -
  Return On Investment is the ultimate objective behind every business idea. You can generate a good amount of ROI only when you are offering something unique, fresh to the target audience. It is important to target your audience for every product
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sameerk2497-blog · 6 years ago
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Data Science
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As the world entered the era of big data, the need for its storage also grew. It was the main challenge and concern for the enterprise industries until 2010. The main focus was on building framework and solutions to store data. Now when Hadoop and other frameworks have successfully solved the problem of storage, the focus has shifted to the processing of this data. Data Science is the secret sauce here. All the ideas which you see in Hollywood sci-fi movies can actually turn into reality by Data Science. Data Science is the future of Artificial Intelligence. Therefore, it is very important to understand what is Data Science and how can it add value to your business.
The need for Data Science.
What is Data Science?
How is it different from Business Intelligence (BI) and Data Analysis?
The lifecycle of Data Science with the help of a use case.
By the end of this blog, you will be able to understand what is Data Science and its role in extracting meaningful insights from the complex and large sets of data all around us. To get in-depth knowledge on Data Science, you can enroll for live Data Science online course by Edureka with 24/7 support and lifetime access.
Traditionally, the data that we had was mostly structured and small in size, which could be analyzed by using the simple BI tools. Unlike data in the traditional systems which was mostly structured, today most of the data is unstructured or semi-structured. Let’s have a look at the data trends in the image given below which shows that by 2020, more than 80 % of the data will be unstructured.
Science
This data is generated from different sources like financial logs, text files, multimedia forms, sensors, and instruments. Simple BI tools are not capable of processing this huge volume and variety of data. This is why we need more complex and advanced analytical tools and algorithms for processing, analyzing and drawing meaningful insights out of it.
This is not the only reason why Data Science has become so popular. Let’s dig deeper and see how Data Science is being used in various domains.
Let’s take a different scenario to understand the role of Data Science in decision making. How about if your car had the intelligence to drive you home? The self-driving cars collect live data from sensors, including radars, cameras and lasers to create a map of its surroundings. Based on this data, it takes decisions like when to speed up, when to speed down, when to overtake, where to take a turn – making use of advanced machine learning algorithms.
Let’s Understand Why We Need Data
Let’s see how Data Science can be used in predictive analytics. Let’s take weather forecasting as an example. Data from ships, aircrafts, radars, satellites can be collected and analyzed to build models. These models will not only forecast the weather but also help in predicting the occurrence of any natural calamities. It will help you to take appropriate measures beforehand and save many precious lives.
How about if you could understand the precise requirements of your customers from the existing data like the customer’s past browsing history, purchase history, age and income. No doubt you had all this data earlier too, but now with the vast amount and variety of data, you can train models more effectively and recommend the product to your customers with more precision. Wouldn’t it be amazing as it will bring more business to your organization?
Let’s have a look at the below infographic to see all the domains where Data Science is creating its impression.
Now that you have understood the need of Data Science, let’s understand what is Data Science.
Data Science Certification Course using R
Watch The Course Preview
What is Data Science?
Use of the term Data Science is increasingly common, but what does it exactly mean? What skills do you need to become Data Scientist?
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sameerk2497-blog · 6 years ago
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How to make a successful career in digital marketing
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9 Steps to Start a Successful Digital Marketing Career
1. Get to start with social media
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Digital marketing is more than just finding the perfect filter for your selfies. You need to understand how brands interact with people on social media and use these channels to build relationships and make sales. Get up to speed with the science of it and you’ll be on your way to success!
2. Start a blog
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Blogging is a great way to show your expertise and help you learn by doing. Blogging shows your commitment and skills to potential employers too. Be warned, I’ve often been asked how many followers or website visitors I have in job interviews and that means a blog is a great way to build an audience and attract the right kind of attention.
3. Use Latest Trends
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Digital Marketing is a career which is always evolving and keep on changing. If you are choosing it, you need to keep yourself updated with the latest trends and marketing strategies for example currently Twitter has changed its word limit from 140 to 280 characters. The need for skilled and creative people in this field varies with time and the competition is so high, if you lack behind someone will be already there to take your seat. Attend virtual
4. Build your LinkedIn profile
They say it’s not what you know but who you know. LinkedIn is a professional community where you can connect with and learn from experts, as well as stay up to date with the latest news. Having an up to date profile will also show employers you really know your stuff.
5. Join a networking group
There are numerous groups on LinkedIn but look first locally for in-person networking events you can attend. Usually they have guest speakers which is a great opportunity to learn from experts and you might even meet a future employer there too.
6. Find a mentor
Nothing is more valuable than a mentor who has been there before and can help you learn from their mistakes. Having someone close to reach out for some advice can really help you get ahead. You’ll find out quickly that most people are willing to give some time to others looking to get into the industry, so don’t be afraid to ask.
One of the best ways to set yourself apart and stand out from the crowd while applying for digital marketing jobs is to think of yourself as a brand, just like you would a large company or organization.
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7. Understand how to analytics work
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Sometimes, establishing a career is equal parts mindset and action. Thinking of yourself as a brand will change your focus from getting results in the short term to positioning yourself as a real leader in your field - a change that can improve your level of access to digital marketing jobs.
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Make sure you understand the basics of social media metrics and Google Analytics. You’re going to need to evaluate performance and report on key facts and figures so make sure you know what this means and where to go to get the information. Google’s Partner program is free which will teach you the basics and it’ll be useful for helping you build your blog too.
8.specific demand digital skill set
The most effective way to build a successful digital career is to arm yourself with a skill set that’s in demand among digital employers.
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Skills and knowledge in fields like web development, social media and performance marketing are highly valued by employers. Possessing them -- or better, specializing in a certain skill - is often all it takes to set you apart as a great candidate for a digital career.
When you view yourself as a brand, you begin to think more strategically about developing your career. Events become opportunities to strengthen your network, and opportunities to contribute to websites and publications become valuable sources of personal publicity.
9. View yourself as a brand for people to remember
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sameerk2497-blog · 6 years ago
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