Data Science for fresher’s...Start the Career - PowerPoint PPT Presentation

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Data Science for fresher’s...Start the Career

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I was on the intersection to choose the next platter. Cloud, AWS, Agile, Blockchain and many others were the words I've heard from experts and how they were advertising the industry. I am confused about the subject and the technology I need to consider for a general study of my career development. We have been working with Trading Business Equipment for a long time without any data and facts to restore data, understanding what data means and the availability of census data. So, I learned about the science of the letter and I wanted to explore these things. – PowerPoint PPT presentation

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Title: Data Science for fresher’s...Start the Career


1
Data Science for freshers...Start the Career
2
What is Data Science ?
  • Collects data from different sources of business
    interests, examine to find the key problem using
    the research methodology and calculating and
    viewing world outcomes.
  • Data science is the art of painting of various
    colors and brushes. Types are suited to different
    types of data and brushes used in Scientific
    Science for Research.
  • According to Wikipedia, Data Science is "the idea
    of ??combining statistics, analyzing data,
    machine learning and related processes" to
    "understand and analyse actual events" with data.

3
Introduction
  • I was on the intersection to choose the next
    platter. Cloud, AWS, Agile, Blockchain and many
    others were the words I've heard from experts and
    how they were advertising the industry.
  • I am confused about the subject and the
    technology I need to consider for a general study
    of my career development.
  • We have been working with Trading Business
    Equipment for a long time without any data and
    facts to restore data, understanding what data
    means and the availability of census data.
  • So, I learned about the science of the letter and
    I wanted to explore these things.

4
Cont.
  • Data science is a network of interconnected
    methods, methods, algorithms and science systems
    to produce knowledge and ideas from data in
    different formats, inappropriately formatted.
  • Are you Interested to learn Data Science? Enroll
    now Data Science Training in Bangalore

5
Why do we need it, how can this affect our lives
and what does it mean in my future?
  • With the use of the Internet, mobile applications
    and the expansion of the Internet, data generated
    at any stage of the process has increased every
    day.
  • Such a large such information may be a business
    organization of the organization, may be a sale,
    marketing, contract or process, if the data is
    analyzed to produce meaningful information.
  • In today's competition, it is important that
    companies understand the emerging data to make
    quick and better decisions, to provide a better
    service for communication with customers and
    customers.

6
Cont..
  • Data Science Research is not limited to a
    specific domain or specific segment.
  • If you have sufficient information and have
    questions about your business, Data Analytics can
    give you the answers to these questions.
  • That said, the benefits of scientific data are
    different from each organization based on
    business needs and problems.
  • Information Science can add value to businesses
    with the knowledge on census data.
  • .

7
Cont..
  • Organizations have begun to understand the power
    of using the data science to determine the
    meaning of their information, so the demand for
    knowledgeable knowledge will increase in the
    coming years.
  • Data science is a growing area, and requires a
    trained professional clock.
  • Are you Interested to learn Data Science? Enroll
    now Data Science Training in Chennai

8
what will be beneficial to Data Science?
  • The existence of Data science has been in recent
    years, however, the Association is now
    investigating and using its benefits.
  • That is, the opportunity of the researcher to
    grow.
  • It seems to be a dream job with attractive pay,
    but the phrase is aware of the great
    responsibility and prospects for researchers to
    make a miracle.
  • You can win the data profiles, acquire the domain
    knowledge, become a sport, and, most importantly,
    understand business.

9
Who can be a researcher?
  • "The researcher is better than censorship than
    any software machine with better software than
    the statistician.
  • Anyone
  • Consider discussing business problems. Understand
    and ask the right questions about the business
    problem.
  • Pay attention to the information provided.
  • Enjoy and enjoy the statistics and programs.

10
Cont..
  • Ready to become a learning process, to learn the
    latest technology in conflict management and data
    management.
  • They want to place up on the complexity of data
    and data (inaccurate format) and use the
    analytical capabilities to identify solutions to
    business problems.

11
What is the first step?
  • You have already taken the first step towards
    Knowledge Science on reading this site. )
  • You must start studying the business value
    obtained through Science Information.
  • In your interest, begin to learn this learning
    information for your business.
  • Then he will ask how to do the job. This is the
    first step towards the Information Science.
    Youre learning starts here.

12
Several tools to perform the task will be the
next step.
  • Scientologist, some of the basic skills you
    should start are Python, Knowledge Base,
    Information Management System, Oral Language,
    ETL, BI Drawing and the key communication skills.
  • To revert to Infrastructure Management, I had to
    take time to understand the foundation of Python.
  • I have tried to translate Python for War Science
    and I can conclude that the Python program is not
    expected to write thousands of code strings.

13
Cont..
  • As researchers, the main task is to implement and
    analyse data and identify patterns.
  • Python offers several libraries to facilitate
    our work. Begin to study this booklet, because
    they will regularly use the Information Science.
  • R and SAS are popular languages ??for data
    analysis.
  • The language R is preferred to carry out the task
    of analyzing the expected data. Python and R are
    an open program program, while SAS is a business
    tool that provides extensive statistics and a
    good GUI.

14
Data science materials
  • The list can be extended according to commercial
    businesses.
  • R / Python / SPSS / SAS
  • Hadoop equipment Spray, Hive, Impala
  • Knowledge of Excel
  • DBMS, Oracle, Hadoop, Mongo DB
  • Business Intelligence Information System OBIEE,
    Business Articles, Cognos, Tableau, Micro
    Strategy, etc.
  • Take a plan to start your Knowledge Travel. Data
    Science is fun when your data is speaking! Never
    stop studying!

15
  • To getting expert-level training for Data Science
    Training in your location Data Science Training
    in Chennai Data Science Training in Bangalore
    Data Science Training in Pune Data Science
    Training in Kalyan nagar Data Science Training
    in marathahalli Data Science Training in Anna
    Nagar Data Science Training in OMR Data Science
    Training in Rajaji nagarData Science Training in
    btm Data Science with Python training in Chennai
    Data Science with R training in Chennai Data
    Science with SAS Training in ChennaiData science
    training in tambaram Data Science Training in
    Velachery For getting online training Data
    Science online Training

16
BESANT TECHNOLOGIES
  • www.besanttechnologies.com
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