Kakkanad, Kochi, India - 682030.
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Kakkanad, Kochi, India - 682030
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Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
8
Data science techniques
Python, R Programming
Class Location
Online (video chat via skype, google hangout etc)
I am Willing to Travel
Tutor's Home
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
1. Which classes do you teach?
I teach Data Science, Deep Learning, Machine Learning and Tableau Classes.
2. Do you provide a demo class?
Yes, I provide a free demo class.
3. How many years of experience do you have?
I have been teaching for 8 years.
Answered on 25/05/2018 Learn IT Courses/Tableau
Hi Dev,
R is a tool used by Data Scientists/Statisticians for data analysis, statistical modeling whereas Tableau is aimed at Data Visulaization primarily. Though Tableau has got lot of analytical enhancements it cannot come closer to R. Similarly, though R has got lot of visualization/plotting abilities using packages like ggplot, R Shiny etc., it cannot come closer to Tableau in visualization.
So if you need to visualize ur data, then just hop on and learn Tableau. I use both these tools almost everyday in my life. I visualize my data in Tableau and I build models in R. R can be used for making model diagnostic plots like residual vs regressor plot, QQ plots etc., which are very specific to model building.
Choose your tool based on the need. hope this helps.
Regards, Arun, Data Scientist
Answered on 25/05/2018 Learn IT Courses/Tableau
Hi Priyanka - Tableau is a data visualization tool used primarily in Data Science/Analytics and Business Intelligence. It is one of the most powerful and easiest tool for exploring and understand your data. It can be connected to almost all possible data formats (DBs, Excel, CSV, Cloud, AWS etc.) and you can create beautiful visula understanding of the data in few clicks.
Informatica is a ETL/Data Intergration tool. Which is used for extrating data from a variety of source systems and transform it in required format, integrate and load them in a data warehouse or operational data store which can further be used for reporting, OLAP or for further statistical analysis.
So these 2 are primarily created for different purposes and are really good in their respective areas. If you are a BI person then learning both is highly recommended. If you are a person who deals with data of any kind and would like to visualizile/analyse it then Tableau is highly recommended.
Regards, Arun
Data Scientist
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
8
Data science techniques
Python, R Programming
Class Location
Online (video chat via skype, google hangout etc)
I am Willing to Travel
Tutor's Home
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Answered on 25/05/2018 Learn IT Courses/Tableau
Hi Dev,
R is a tool used by Data Scientists/Statisticians for data analysis, statistical modeling whereas Tableau is aimed at Data Visulaization primarily. Though Tableau has got lot of analytical enhancements it cannot come closer to R. Similarly, though R has got lot of visualization/plotting abilities using packages like ggplot, R Shiny etc., it cannot come closer to Tableau in visualization.
So if you need to visualize ur data, then just hop on and learn Tableau. I use both these tools almost everyday in my life. I visualize my data in Tableau and I build models in R. R can be used for making model diagnostic plots like residual vs regressor plot, QQ plots etc., which are very specific to model building.
Choose your tool based on the need. hope this helps.
Regards, Arun, Data Scientist
Answered on 25/05/2018 Learn IT Courses/Tableau
Hi Priyanka - Tableau is a data visualization tool used primarily in Data Science/Analytics and Business Intelligence. It is one of the most powerful and easiest tool for exploring and understand your data. It can be connected to almost all possible data formats (DBs, Excel, CSV, Cloud, AWS etc.) and you can create beautiful visula understanding of the data in few clicks.
Informatica is a ETL/Data Intergration tool. Which is used for extrating data from a variety of source systems and transform it in required format, integrate and load them in a data warehouse or operational data store which can further be used for reporting, OLAP or for further statistical analysis.
So these 2 are primarily created for different purposes and are really good in their respective areas. If you are a BI person then learning both is highly recommended. If you are a person who deals with data of any kind and would like to visualizile/analyse it then Tableau is highly recommended.
Regards, Arun
Data Scientist
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