How to get Data Science and Machine learning jobs - PowerPoint PPT Presentation

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How to get Data Science and Machine learning jobs

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Learnbay organizes Data Science Course in Bangalore online along with Data Science training in Bangalore.  Keeping in mind the market demand and trend we have also combined Big data Analytics training in Bangalore along with data science courses. – PowerPoint PPT presentation

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Title: How to get Data Science and Machine learning jobs


1
How to get Data Science and Machine learning jobs
2
  • Data science and machine learning have picked up
    its momentum since 2017.
  • With the rapid adoption of Artificial
    Intelligence (AI), it will take up more growth
    covering almost all industries.
  • No doubt, this shows a steady path of the job
    opening in the field of data science and machine
    learning in coming years.
  • With promising career and salary package,
    obviously, this will be most sought-after job
    role next to Big data and analytics.
  • As almost all big MNCs are recruiting people for
    data science roles in almost all job sites, you
    will find openings for these roles.

3
Step 1 Acquire necessary technical skills
  • To be a data scientist one must be technically
    sound.
  • The technical area of data science is widespread
    as it deals with many aspects like programming,
    statistics, computing, DBA activity,
    understanding and handling OS like UNIX, working
    in a distributed computing environment and many
    more.
  • Programming skills
  • R, Python, Scala, C, MATLAB, Java, SQL are some
    of the languages which are frequently used for
    data science programming. Hence, to get a job as
    a data scientist, you should know one or more
    languages.

4
  • Science and statistical ability
  • Data science mostly handles lots of machine
    learning algorithms. Apart from that as a data
    scientist, you must have a good understanding of
    different statistical models and probability.
  • Familiarity with UNIX
  • Most of the data science projects are run in UNIX
    environment. Hence, you should know basic UNIX
    commands and must know UNIX operating system.

5
  • Knowledge of distributed computing
  • Usually, data science projects handle large
    datasets which cannot be managed on a single
    machine.
  • Hence, most of the cases they are distributed
    across a cluster.
  • Hence, as a data scientist, you must gain
    knowledge on distributed computing and get
    acquainted with tools like Apache Hadoop, Google
    Cloud, and Microsoft Azure, etc.

6
  • Query language and NoSQL
  • As data science deals with big data or a large
    set of unstructured data, traditional databases
    are getting obsolete gradually. So, knowing SQL
    and NoSQL databases is getting mandatory for a
    data scientist.
  • Data science tools
  • There are plenty of tools for data science
    activities like data sourcing, storing,
    visualization, querying, processing, etc. To get
    a job knowing such one or more tools based on the
    role is essential.

7
  • Query language and NoSQL
  • As data science deals with big data or a large
    set of unstructured data, traditional databases
    are getting obsolete gradually. So, knowing SQL
    and NoSQL databases is getting mandatory for a
    data scientist.
  • Data science tools
  • There are plenty of tools for data science
    activities like data sourcing, storing,
    visualization, querying, processing, etc. To get
    a job knowing such one or more tools based on the
    role is essential.

8
  • Step 2 Educational background
  • Educational background plays a major role during
    the selection process of a data scientist. No
    matter with any educational degree you can
    proceed for the career of a data scientist.
  • But a master or Ph.D. in Data science or Machine
    learning is the first choice in the selection.
  • However, as data science needs mathematical and
    statistical understanding as primary criteria, so
    if you are a Ph.D. or Masters in Statistics or
    Mathematics, definitely you edge over others.
  • The next majority group comes to the Engineering
    graduates from Computer science background.

9
  • Step 3 Experience matters a lot
  • If the educational background is one criterion,
    the experience is another way plays a vital role.
  • Even if you dont have Ph.D. or Masters in the
    core subject if you have a good internship in
    Data science you can easily reach the top
    position.
  • Nowadays companies are training their existing
    employees like software engineers and consultants
    for the specified roles.

10
  • Step4 Prepare for the interview
  • A data science interview will not only look into
    your technical ability or experience but also
    your communication skill, business acumen,
    analytical ability, intellectual ability.
  • Hence, along with interview questions, problem
    scenarios, brush up these areas to crack the
    interview.

11
  • Conclusion Technology is advancing every day.
    Whether or not you have a data science
    background, it is advisable to take an online
    course to achieve better knowledge and
    confidence.
  • Learnbay organizes Data Science Course in
    Bangalore online along with Data Science training
    in Bangalore.
  •  Keeping in mind the market demand and trend we
    have also combined Big data Analytics training in
    Bangalore along with data science courses.

12
  • THANK YOU
  • Visit Us _at_ http//www.learnbay.in/
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