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IN BIG DATA ANALYTICS - VENTURESITY
If you are a software
developer, you can be a Data Scientist too
In the big data era, data science is a vital ability
that ought to be prepared by programming
specialists. It could be utilized to foresee valuable
data on new ventures focused around finished
undertakings. Numerous developers, statisticians,
analysts and IT experts have some fractional
foundation and are looking to make the move into
data science.
Thus, how does one go about that? Your choice of
methodology will reflect your past experiences.
Here are a few point­of­view from designers to
business experts­
     
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12/30/2014 If you are a software developer, you can be a Data Scientist too
http://www.venturesity.com/blog/if-you-are-a-software-developer-you-can-be-a-data-scientist-too 2/5
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Java Developers
In case you’re a Java developer, you are
acquainted with programming building standards
and flourish with creating programming frameworks
that perform complex assignments. Data science is
about building “information items”, basically
programming frameworks that are focused around
information and calculations.
A great first step is to comprehend the different
calculations in machine realizing: which
calculations exist, which issues they fathom and
how they are executed. It is additionally helpful to
figure out how to utilize a demonstrating modeling
tools like R or Matlab. Libraries like WEKA, Vowpal
Wabbit, and Opennlp give generally tried
executions of numerous basic calculations. In case
you’re not officially acquainted with Hadoop —
learning Mapreduce, Pig and Hive and Mahout will
be important.
Python Developers
In case you’re a Python developer, you are
acquainted with programming improvement and
scripting.You may have effectively utilized some
Python libraries that are regularly utilized within
information science, for example, Numpy and
Scipy. Python has incredible backing for data
science requisitions, particularly with libraries, for
example, Numpy/Scipy, Pandas,scikit­learn,
Ipython for exploratory investigation, and Matplotlib
for visualizations. To bargain with extensive data
sets, take in more about Hadoop and its mix with
Python through streaming.
Statisticians and connected
researchers
In case you’re originating from a facts or machine­
learning foundation, its presumable you’ve as of
now been utilizing tools like R,matlab or SAS for a
long time to perform relapse dissection, grouping
investigation, order or comparable machine
learning errands.
R, Matlab and SAS are astounding devices for
factual investigation and visualization, with mature
executions for some machine learning
algorithms.However, these tools are regularly
utilized for information investigation and model
improvement, and infrequently utilized within
segregation to fabricate processing evaluation
12/30/2014 If you are a software developer, you can be a Data Scientist too
http://www.venturesity.com/blog/if-you-are-a-software-developer-you-can-be-a-data-scientist-too 3/5
Hadoop
ads
information items. Much of the time, you have to
blend in different other programming parts in like
Java or Python and coordinate with information
stages like Hadoop, when building end­to­end
information items.
Regularly, getting acquainted with one or more
current programming dialects, for example, Python
or Java is your first step. We thought that it was
exceptionally useful to work nearly with
accomplished data specialists to better
comprehend the outlook and tools they use to
fabricate generation quality data products.
Business analysts
If your background is SQL, you have been using
data for many years already and understand full
well how to use data to gain business insights.
Using Hive, which gives you access to large
datasets on Hadoop with familiar SQL primitives, is
likely to be an easy first step for you into the world
of big data.
Data science often entails developing data
products that utilize machine learning and statistics
at a level that SQL cannot describe well or
implement efficiently. Therefore, the next important
step towards data science is to understand these
types of algorithms (such as recommendation
engines, decision trees, NLP) at a deeper
theoretical level, and become familiar with current
implementations by tools such as Mahout, WEKA,
or Python’s Scikit­learn.
Hadoop developers
Being a Hadoop developer, you know the
complexities of vast datasets and cluster
computing. You are likely additionally acquainted
with Pig, Hive, and Hbase and accomplished in
Java. A great first step is to addition profound
understanding of machine learning and detail, and
how these calculations might be executed
proficiently for substantial datasets. A great in front
of the pack to look is Mahout which executes a
large number of these calculations over Hadoop.
An alternate zone to research is “data cleanup”.
Numerous calculations accept a certain essential
structure to the information before demonstrating
starts. Sadly, in­ genuine data is very “grimy” and
making it prepared for displaying has a tendency to
take a huge heft of the work in data science.
Hadoop is frequently an instrument of decision for
12/30/2014 If you are a software developer, you can be a Data Scientist too
http://www.venturesity.com/blog/if-you-are-a-software-developer-you-can-be-a-data-scientist-too 4/5
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huge scale data cleanup and pre­processing,
preceding demonstrating.
Last musings
The path to data science is not a walk around the
diversion focus. You need to take in a ton of new
technologies, programming languages, and most
vital – pick up certifiable experience. This requires
significant investment, exertion and a particular
financing. In any case what you discover at the end
of the way is truly rewarding.
Editor’s note: Venturesity will be hosting
Analytics bootcamp on June 12 and 13, 2014.
Register before seats are taken.
Related Posts
Impact of MongoDB in Data science
Program for the Hadoop platform without
using java
Open Source Project of the Week –
IPython
What are the best applications of Data
Visualization?
12/30/2014 If you are a software developer, you can be a Data Scientist too
http://www.venturesity.com/blog/if-you-are-a-software-developer-you-can-be-a-data-scientist-too 5/5
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If you are a software developer, you can be a data scientist too

  • 1. 12/30/2014 If you are a software developer, you can be a Data Scientist too http://www.venturesity.com/blog/if-you-are-a-software-developer-you-can-be-a-data-scientist-too 1/5 type the keyword here SEARCH Android Marketing Big Data Hiring Tips Entrepreneurship Weekly Challenge RSS Feed 8,375 people like this. Sign Up to see what your friends like. Like 0 Enter your Email Address... Subscribe Recent Blog Posts Zivame Hackathon Rewind VentureHack III Success diaries Venturesity Weekly Challenge I Venturehack , Event I­ Success Diaries Five classes to build an Android Application Venturesity Home Jobs About Contact by Sidharth Das - no comments IN BIG DATA ANALYTICS - VENTURESITY If you are a software developer, you can be a Data Scientist too In the big data era, data science is a vital ability that ought to be prepared by programming specialists. It could be utilized to foresee valuable data on new ventures focused around finished undertakings. Numerous developers, statisticians, analysts and IT experts have some fractional foundation and are looking to make the move into data science. Thus, how does one go about that? Your choice of methodology will reflect your past experiences. Here are a few point­of­view from designers to business experts­       Recommend on Google
  • 2. 12/30/2014 If you are a software developer, you can be a Data Scientist too http://www.venturesity.com/blog/if-you-are-a-software-developer-you-can-be-a-data-scientist-too 2/5 Growth Hacking is the new rule of marketing in age of context Tags Advantages of Hadoop analytics android android app Android App Development Android Application android development android hackathon Android in Java android jobs Android Training Big Data Big Data Analyticscareer in digital marketing coding data science digital marketer digital marketing digital marketing career election growth hacker marketing hackathon hadoop hadoop and r hour of code ILOC internet marketing Java java developers Job Questions jobs Learn Android mapreduce Online online courses online marketing ppc predictive analytics predictive model python R scientific computing Startup Hiring startup jobs Why learn Java Developers In case you’re a Java developer, you are acquainted with programming building standards and flourish with creating programming frameworks that perform complex assignments. Data science is about building “information items”, basically programming frameworks that are focused around information and calculations. A great first step is to comprehend the different calculations in machine realizing: which calculations exist, which issues they fathom and how they are executed. It is additionally helpful to figure out how to utilize a demonstrating modeling tools like R or Matlab. Libraries like WEKA, Vowpal Wabbit, and Opennlp give generally tried executions of numerous basic calculations. In case you’re not officially acquainted with Hadoop — learning Mapreduce, Pig and Hive and Mahout will be important. Python Developers In case you’re a Python developer, you are acquainted with programming improvement and scripting.You may have effectively utilized some Python libraries that are regularly utilized within information science, for example, Numpy and Scipy. Python has incredible backing for data science requisitions, particularly with libraries, for example, Numpy/Scipy, Pandas,scikit­learn, Ipython for exploratory investigation, and Matplotlib for visualizations. To bargain with extensive data sets, take in more about Hadoop and its mix with Python through streaming. Statisticians and connected researchers In case you’re originating from a facts or machine­ learning foundation, its presumable you’ve as of now been utilizing tools like R,matlab or SAS for a long time to perform relapse dissection, grouping investigation, order or comparable machine learning errands. R, Matlab and SAS are astounding devices for factual investigation and visualization, with mature executions for some machine learning algorithms.However, these tools are regularly utilized for information investigation and model improvement, and infrequently utilized within segregation to fabricate processing evaluation
  • 3. 12/30/2014 If you are a software developer, you can be a Data Scientist too http://www.venturesity.com/blog/if-you-are-a-software-developer-you-can-be-a-data-scientist-too 3/5 Hadoop ads information items. Much of the time, you have to blend in different other programming parts in like Java or Python and coordinate with information stages like Hadoop, when building end­to­end information items. Regularly, getting acquainted with one or more current programming dialects, for example, Python or Java is your first step. We thought that it was exceptionally useful to work nearly with accomplished data specialists to better comprehend the outlook and tools they use to fabricate generation quality data products. Business analysts If your background is SQL, you have been using data for many years already and understand full well how to use data to gain business insights. Using Hive, which gives you access to large datasets on Hadoop with familiar SQL primitives, is likely to be an easy first step for you into the world of big data. Data science often entails developing data products that utilize machine learning and statistics at a level that SQL cannot describe well or implement efficiently. Therefore, the next important step towards data science is to understand these types of algorithms (such as recommendation engines, decision trees, NLP) at a deeper theoretical level, and become familiar with current implementations by tools such as Mahout, WEKA, or Python’s Scikit­learn. Hadoop developers Being a Hadoop developer, you know the complexities of vast datasets and cluster computing. You are likely additionally acquainted with Pig, Hive, and Hbase and accomplished in Java. A great first step is to addition profound understanding of machine learning and detail, and how these calculations might be executed proficiently for substantial datasets. A great in front of the pack to look is Mahout which executes a large number of these calculations over Hadoop. An alternate zone to research is “data cleanup”. Numerous calculations accept a certain essential structure to the information before demonstrating starts. Sadly, in­ genuine data is very “grimy” and making it prepared for displaying has a tendency to take a huge heft of the work in data science. Hadoop is frequently an instrument of decision for
  • 4. 12/30/2014 If you are a software developer, you can be a Data Scientist too http://www.venturesity.com/blog/if-you-are-a-software-developer-you-can-be-a-data-scientist-too 4/5 Name (required) Email (required) URL Leave a Comment huge scale data cleanup and pre­processing, preceding demonstrating. Last musings The path to data science is not a walk around the diversion focus. You need to take in a ton of new technologies, programming languages, and most vital – pick up certifiable experience. This requires significant investment, exertion and a particular financing. In any case what you discover at the end of the way is truly rewarding. Editor’s note: Venturesity will be hosting Analytics bootcamp on June 12 and 13, 2014. Register before seats are taken. Related Posts Impact of MongoDB in Data science Program for the Hadoop platform without using java Open Source Project of the Week – IPython What are the best applications of Data Visualization?
  • 5. 12/30/2014 If you are a software developer, you can be a Data Scientist too http://www.venturesity.com/blog/if-you-are-a-software-developer-you-can-be-a-data-scientist-too 5/5 Submit Notify me of follow-up comments by email. Notify me of new posts by email. Call us +91- 9590091584 Email us help@venturesity.com Powered by WordPress, designed by CodeinWP. Courses Big Data Track Mobility Track Marketing Track Product Design Track UI/ UX Track Jobs Internship Full Time Hiring Partners