Data Analyst Vs Data Scientist | Difference Between a Data Analyst and a Data Scientist

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  • เผยแพร่เมื่อ 24 ต.ค. 2024
  • Data Analyst Vs Data Scientist | Difference Between a Data Analyst and a Data Scientist
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    With demand for Data Scientists expected to rise by 28% by 2025, the data revolution is showing no signs of slowing down. But here’s a question-do you really know the difference between a Data Analyst and a Data Scientist?.
    In this video, we will make you understand what each role (Data Analyst vs Data Scientist) does and why both are so important for businesses today.
    Data Analyst Vs Data Scientist (Role & Responsibilities)
    Data Analyst:
    Data analysts examine current sales data to identify trends, challenges and areas for improvement. Leveraging Excel, Tableau and SQL, they analyze sales performance, pinpoint issues and create insightful reports for management.
    Data Scientist:
    While data analysts examine historical metrics, data scientists propel business forward by harnessing diverse data. With Python and machine learning, they craft predictive models, illuminating future opportunities and challenges
    Data Analyst Vs Data Scientist (Tools & Technology)
    Data Analysts use tools like Excel, Tableau, and Power BI to turn mountains of numbers into easy-to-read reports and dashboards. SQL is bread and butter for querying databases, and functions like pivot tables. And VLOOKUP in Excel helps them quickly find patterns that answer specific business questions by ensuring anyone in the company can understand what’s going on without needing a PhD.
    Data Scientists make them intelligent & their toolkit goes way beyond Excel. They program in Python, R, and SQL, using advanced libraries like Pandas, Matplotlib, and Seaborn to dig deep into data and building machine learning models with TensorFlow and Keras to predict outcomes and automate tough decisions.
    Data Analyst Vs Data Scientist (Skills Required)
    Data Analysts: Not everyone needs to be an expert coder to make a difference. Most Data Analysts start with a bachelor’s degree in business, economics, or math. They don’t need advanced programming skills-they must excel with tools like Excel and SQL, and that’s more than enough to deliver real value.
    But, Data Scientists usually have at least a master’s degree in fields like computer science or statistics. They don’t just analyze data-They build sophisticated systems using Python, R, Hadoop, and Spark and automate decision-making and forecast what’s next, so the company doesn’t just react; it stays ahead.
    Data Analyst Vs Data Scientist (Salary)
    Data Analysts earn around ₹6,50,000 a year because we turn raw data into something useful. They work through data cleaning, data analysis and data visualization all at once.
    Data Scientists make ₹13,50,000 a year-Data Scientists take it a step further.
    End of the day, both roles are really important for any company. Data Analysts help the business tackle current problems by turning data into clear insights that people can use right away. On the other hand, Data Scientists focus on planning for the future, creating systems that keep the company ahead. Together, they give a full picture-what’s happening now and what could happen next. Whether you prefer analyzing today’s data or predicting tomorrow’s trends, both careers have great opportunities and a strong future.
    #dataanalystvsdatascientist #dataanalyst #datascientist #dataanalyticscareer #datasciencecareer
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ความคิดเห็น • 6

  • @RiyaSharma-wr1ps
    @RiyaSharma-wr1ps วันที่ผ่านมา

    Love the video!!! Great explanation

  • @sidharthbhardwaj755
    @sidharthbhardwaj755 23 ชั่วโมงที่ผ่านมา

    Nice & informative video

  • @renupal8964
    @renupal8964 20 ชั่วโมงที่ผ่านมา

    Very informative 😊

  • @arvindsingh8615
    @arvindsingh8615 วันที่ผ่านมา

    bring this anchor more in your videos.

  • @SaloniVats-zg5rw
    @SaloniVats-zg5rw 19 ชั่วโมงที่ผ่านมา

    Great video! Very informative.

  • @AyushKumar-wr5kj
    @AyushKumar-wr5kj 23 ชั่วโมงที่ผ่านมา

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