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D a t a S c i e n c e gurinchi info kavali urgent


Kuyya

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19 minutes ago, vendettaa said:

man its long process, 1 to 6 months lo nerchukunedi kadu 

it needs good experience on lot of things 

ipdu nenu multiple vatillo working in one project 

i build pipelines, feature engineering  veetiki spark, scala,shell scripting, python,java, hadoop, hive, hbase, cassandra , flink, kafka, elastic search, kibana, logstash, regular RDBMS , oozie viti anniti mida working

dentlo perfect kadu but ichina work cheygalanu cheygalgutunna and in future machine learning component add avtadi , kuberntes,pega,apigee kuda 

By the time I learn this, I will be ready for retirement

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43 minutes ago, vendettaa said:

man its long process, 1 to 6 months lo nerchukunedi kadu 

it needs good experience on lot of things 

ipdu nenu multiple vatillo working in one project 

i build pipelines, feature engineering  veetiki spark, scala,shell scripting, python,java, hadoop, hive, hbase, cassandra , flink, kafka, elastic search, kibana, logstash, regular RDBMS , oozie viti anniti mida working

dentlo perfect kadu but ichina work cheygalanu cheygalgutunna and in future machine learning component add avtadi , kuberntes,pega,apigee kuda 

endi ivanni chestunnava or vaccha neeku?

 

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if u are good at any programming language..

take Engineering level Stats course. (tough job to learn now)

then extend ur programming expertise to use stat modules like NumPy etc if Python, R also has some inbuilt modules to do this.

then learn a visualization tool like Spark or Tableou, looker etc..

a tarvata interview prepare.

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55 minutes ago, vendettaa said:

EDA ki ms excel kuda use chestaru , macros use chestaru , excel use cheydam easy ankoku , there is a lot in excel but excel valla pedda results undavu its time taking , better approach is go with Python and R for analysis.Python ( pandas, numpy and scikit learn untay ) and R is best for visualization .Big data level lo data scientists use spark MLIB

Right kani only eda varake aite DS lo main concepts cover avvavu kadha..paiga data ekkuva hold cheyaledu..companies are ruining DS name anedi paina na opinion

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54 minutes ago, vendettaa said:

man its long process, 1 to 6 months lo nerchukunedi kadu 

it needs good experience on lot of things 

ipdu nenu multiple vatillo working in one project 

i build pipelines, feature engineering  veetiki spark, scala,shell scripting, python,java, hadoop, hive, hbase, cassandra , flink, kafka, elastic search, kibana, logstash, regular RDBMS , oozie viti anniti mida working

dentlo perfect kadu but ichina work cheygalanu cheygalgutunna and in future machine learning component add avtadi , kuberntes,pega,apigee kuda 

Deenilo chala varaku MLE job undi kadha? Pipelines etc? Ide manollu change chesaru anindi nenu..companies budget save cheyataniki MLE + DS ni kalipestunnaru..Good you know all this. But chala companies ippatiki MLE, DE, DS roles separate ga ne maintain chestunnai...

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On 2/19/2019 at 10:59 AM, Kuyya said:

How to get started? What is the path to learn before attending i n t e r v i e w s??

Friend valla cousin valla wife kosam kavali urgent TIA

MS cheyyi, Industrial engineer and operations research lo

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24 minutes ago, Spartan said:

if u are good at any programming language..

take Engineering level Stats course. (tough job to learn now)

then extend ur programming expertise to use stat modules like NumPy etc if Python, R also has some inbuilt modules to do this.

then learn a visualization tool like Spark or Tableou, looker etc..

a tarvata interview prepare.

Numpy is a package in python,  multi dimensional  arrays matrices kosam vadtaru

stats ki pandas package in python use chestaru 

machine learning algos ki aite scikit learn in python

R comes with lot of stat packages , purely stat

 

spark visualization tool kadu man , visualization ki ELK best , its open source

 

Apache spark is a unified analytics engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.( from apache spark website)

 

spark ravali ante spark nerchukovali along with scala or python(functional programming enough antaru ), its good to have java skill set 

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16 minutes ago, LastManStanding said:

Right kani only eda varake aite DS lo main concepts cover avvavu kadha..paiga data ekkuva hold cheyaledu..companies are ruining DS name anedi paina na opinion

eda kosame stats use chesedi , then dimensional reduction vatiki PCA use chestaru then machine learning algorithms knowledge undali to build model ,main EDA 525px-Data_visualization_process_v1.png

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21 minutes ago, rocky420 said:

@vendettaa As a fresher, job ela techhukovalo chepu bro? Interviews lo ivanni mida questions adugitara?

interview naku cool ga ayndi, spark,hive, hadoop ,oozie mida questions adigaru ante 1 hr interview ante

fresher ga ante learn courses, do sample projects , cca 175 certification cheyandi then attend meet ups, have a active group who got knowledge in this hadoop stack/Datascience , keep having discussions it wil  help you to crack interviews

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