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I am currently working as SEO Executive. I want to ask that learning Data Analysis add on to my SEO stream or not? Will there be any opportunities with SEO+DATA Analysis

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Data Scientist

I think you can learn data analytics skills. i would definitely help you in your current role to do better. You need to learn some data analytics tools like R/SAS/SPSS as well along with the google analytics tools that you are using in your current role.
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Data Science Consultant

I see Web Analytics as an extension of SEO work. You are thinking in right direction. It certainly adds on to your current profile. Explore products like Google Analytics , Omniture etc to gain insight. Google Analytics is free till certain limit and certification is also not expensive. Further you...
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I see Web Analytics as an extension of SEO work. You are thinking in right direction. It certainly adds on to your current profile. Explore products like Google Analytics , Omniture etc to gain insight. Google Analytics is free till certain limit and certification is also not expensive. Further you can dwell into Data Analysis / Analytics for more serious stuff as suggested by Ashish. read less
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Its a different field, if you are expertise in online advertising it would help you
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Expert In Data Analytics

Of course you can do it. Data science applied to on-page optimization is a major topic, as good SEO not only improves your organic traffic but also increases conversion rates. Traditional SEO tools available have been per-se data science products. You can use data science for SEO to make better decisions...
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Of course you can do it. Data science applied to on-page optimization is a major topic, as good SEO not only improves your organic traffic but also increases conversion rates. Traditional SEO tools available have been per-se data science products. You can use data science for SEO to make better decisions on what aspects of web design, content, on-page and off-site SEO is beneficial and detrimental to SEO. Basically, you use data science to build models from complex data to discover relationships so that you can make the digital marketing process more predictable, quantifiable and operational. Now let's see a few practical examples of using data science in SEO: 1. Competition Analysis You can monitor your competitors by mapping out the changes on their website and what others are saying about them. This allows you to see whether their activities are beneficial and what is driving that success. 2. Technical Analysis When you have big websites (getting traffic in Millions), you have a huge pile of server logs. You do server log analysis to identify the correlation between technical problems and its impact on business metrics. We all know the Amzaon load time case study. Webpage load slowdown of just one second could cost it $1.6 billion in sales each year. 3. Content Marketing Everywhere on the web you must have read 'content marketing is king' and everybody jumping on the bandwagon. No doubt content marketing could build your business, if approached logically and scientifically. You can use data science to emulate the search engines crawling. Identify different content topics written on the web, measure different signals and the effect of those signals on business key performance indicators (KPIs) such as SEO traffic, pages per visit, social shares, and so on. read less
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Related Questions

Want to know about the Data Analysis course in detail and the skills required, if anything, to start this course. Is there any scope for the course in future?

Skills - Python and libraries (Seaborn, Pandas, Numpy etc), Statistics, SQL, R(better to have), tools like SAS , Tableau, Knowledge of database concepts How to learn ? step 1 - Learn Python(plenty tutorials...
Supritha
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8
Dear All, I am working as a Data Analyst with only MS Excel. I want to upgrade my skills. Please suggest which is the best technology for the next step (SQL or Tableau or power BI or Quick view). Could you please suggest which is the best technology for the next step? Please Help.
Dear Learner,First, we've to understand the tool's capabilities. As you've mentioned Tableau and Power Bi. These are mainly known for data visualisation and not for Data Analytics. And Quick View is not...
Siddu
1 0
9
How difficult is to learn R Language?
If you love Statistics and numbers then definitely R is easy to learn.
Sunil

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