Top Skills Needed to Become an Expert Data Analyst - PowerPoint PPT Presentation

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Top Skills Needed to Become an Expert Data Analyst

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To become a data analyst, you must first earn a Bachelor's degree, which is a requirement for most of the entry-level data analyst positions. The relevant disciplines include Finance, Economics, Mathematics, Statistics, Computer Science, and Information Management. – PowerPoint PPT presentation

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Title: Top Skills Needed to Become an Expert Data Analyst


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  • Session 1

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  • Are you planning to expand your career horizons
    in the field of data science? Then you should
    probably start thinking about choosing data
    analytics certification. Data is going to be a
    key driver of change, and it is going to form the
    base for many other industries. So, if you, too,
    are planning to pick a strong career option, then
    big data certification and data analytics
    certification is the right choice for you.
  • Before you go ahead and know what the desired
    skill sets for becoming a data analytics expert
    are, you should know what the future holds for
    you. With this statistics, it will become more
    evident how strongly data science is expanding. A
    research conducted in the US shows that by 2021,
    70 of the US executive preferred candidates who
    have data skills. Along with this, the demand for
    data analysts will also increase.

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  • If you have started your search on how to make a
    transition in your career to data analytics, then
    you have landed upon the right page. Here we will
    be identifying some of the key skills that you
    would need to become a professional and
    proficient data science expert. There is a
    certain data analyst role that is highly nuanced
    and would require the right skills to become an
    expert in that particular field. At Global Tech
    Council, we have designed this unique,
    comprehensive data science program that will help
    you in making the right program choices.
    Moreover, our emphasis is to ensure that you not
    only learn the basics of data science and big
    data but, at the same time, become well-versed
    with the implementation part of the same.

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Here are some of the top skills that you need to
learn and hone if you want to become a proficient
data analyst
  • Microsoft Excel- If you are planning to become a
    big data expert or a data science expert, then
    knowledge on excel is a must. Here excel doesnt
    mean the spreadsheets and adding some basic
    formulas to derive results. The excel here
    includes using advanced Excel methods like using
    VBA lookups and Macros Excel for complete quick
    analytics work.
  • Data Visualization- It is important that you must
    visualize what inference would be drawn from
    particular data. Although the program will do
    most of the work, it is important as an analyst
    that you must be able to visualize the
    interpretation of data and should be able to tell
    the story in the right way.

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  • Presentation Skill- Well, this is a soft skill
    that you need to master to make your work more
    compelling. It goes together with data
    visualizations, and as a data analyst, you are
    required to master it.
  • Structured Query Language- The language is the
    higher version of excel and is used across
    different industries. It can easily handle large
    data sets.
  • R or Python Statistical Programming- Any
    analytical work that you are expecting the excel
    to do, then R or Python programming language can
    complete this task even at a faster pace. So,
    learning this language is equally important.
  • Machine Learning- As a data analyst having
    insight into machine learning concepts is only
    going to make your task easier and simplified.
    All analysts dont work on machine learning, but
    having knowledge about the same is always going
    to be beneficial.

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  • Critical Thinking- When we talk about data
    science, then it is not just about the knowledge
    base and technical skills, there are certain
    other fields that you need to master, and
    critical thinking is one such field. Making use
    of data to find answers to your question means
    finding out what to ask. The work of data
    scientists is not just about preparing programs
    that will draw inferences, rather it is also
    about them using their critical thinking
    methodology to establish a connection that is not
    always clear.

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  • These seven skills are a must-have for any
    individual who wishes to become a proficient data
    scientist. Although most data science
    certification training and data analytics
    certification will help you learn these skills
    and become more proficient.
  • Knowing about which skills you would need to
    break into the field of analytics is important.
    Based on your skill sets and knowledge base, you
    can choose the right kind of skills and work on
    them.

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Conclusion
  • At Global Tech Council, we believe in imparting
    the right knowledge and information to our
    students. Whether you are a professional or a
    fresher who wants to upskill, we provide a big
    data analytics certification program that will
    help you become a proficient big data expert.

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