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Data Science and Data Analytics - Avantika University

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Data Science and Data Analytics are some of the most in-demand domains in the industry right now. A combination of the right skill sets and real-world experience can help you secure a substantial career in these trending domains. – PowerPoint PPT presentation

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Title: Data Science and Data Analytics - Avantika University


1
Data Science and Data Analytics
  • Engineering College In India Avantika University

2
What is the Difference Between Data Science and
Data Analytics
  • In simple words, data science can be defined as a
    field that concentrates on obtaining appropriate
    answers from massive raw and structured data. It
    is a general concept used for data preparation
    and analysis. The general task that a data
    scientist performs is to gather data from
    multiple sources and with the application of
    machine learning extracting critical information
    from the collected data sets.

3
  • They interpret the collected data from a
    professional point and then provide detailed and
    accurate predictions that can be used to make
    business decisions. This can be seen in the
    incorporation of multiple disciplines, which
    includes data analytics, data engineering,
    machine learning, predictive analytics, and data
    analytics. It includes retrieval, collection,
    ingestion, and transformation of large amounts of
    data, collectively known as big data.

4
  • Data science is active in charge of shaping big
    data, searching and advising decision-makers to
    bring in the changes effectively, which suits
    best. In accordance, Data analytics and machine
    learning are two of the many tools that are used
    by data science.

5
  • Talking about data science, it is the study which
    represents where the data has come from and how
    it can be converted into a valuable resource.
    Data science can be rightly regarded as about
    uncovering data findings through a number of
    process, techniques, and tools that are involved
    in identifying the patterns from raw data. The
    raw data is basically a big data in structured
    data form, along with semi-structured and
    unstructured data.

6
  • Data Analytics, or data analysis, is pretty much
    similar to data science, but in a more intensive
    way. However, many people use these terms
    convertibly, data science and data analytics are
    unique fields, with the significant difference
    being the scope. Although the differences do
    exist, both data science and data analytics will
    play a unique and essential part of the future of
    work and data.

7
  • The purpose of data analytics is to generate
    insights from data by connecting patterns and
    trends with organizational goals. Data Analytics
    uses basic query expressions like SQL to segment
    and view data. A person working as a data
    scientist plays a role to generate their own set
    of questions on the other hand, a data analyst
    prepares answers to those questions from a
    collection of data.

8
  • Once one has come across understanding all of the
    differences between data science and data
    analyticsand can completely relate it with the
    identification of an absolute career pathone can
    start evaluating which path suits them the most.
    To decide which option is best aligned as per
    your personal and professional goals, you can
    consider some key factors such as educational and
    professional background, personal interests and
    desired career trajectory.

9
  • Students who want to discover something new and
    looking forward to making a career in the field
    of Data Analytics or Data Science should enroll
    themselves in Top Engineering Colleges in India
    for these reputed courses.

10
  • The candidate for this field must have done a
    Bachelor's degree in science/engineering/business
    administration/commerce/mathematics or masters in
    mathematics/statistics with 50 or equivalent
    passing marks. As everyone has noticed the number
    of opportunities in data Science in India is
    continuously increasing from the last three
    years. There are many top engineering colleges in
    India which conducts this program.

11
  • Data science and data analytics are some of the
    most in-demand domains in the industry right now.
    A combination of the right skill sets and
    real-world experience can help you secure a
    substantial career in these trending domains.

12
Conclusion
  • Avantika University is the MIT Institute of
    Design in Ujjain, MP. It follows a unique
    learning approach where the students are
    encouraged to think out of the box. Avantika
    University is the part of reputed MIT Pune.

13
  • THANK YOU
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