There are a few basic pre-requisites you need to observe before venturing out there and trying to learn data analytics. Though it is a hot topic and is being sought after by many organizations across industries, before you jump in, it is always helpful to know what you are getting into.
Some educational prerequisites you need to cover
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One will need to have a minimum of a bachelor’s degree with some knowledge of the following fields – Statistics, Physical Sciences, Computer Science, Mathematics
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Prior exposure to special skills and programming will be a huge plus point.
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The above are bonuses, but even if you have completed your basic education, you may get into this field, but note, your progress in it might not be as quick. Those who have prior experience will definitely have a head start.
Technical skills and programming languages
R programming
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As a student, you will be taught how to use analytical tools and for data analytics, R is usually the language that is taught to meet the needs of data science
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Any statistical problems that come your way can be learned through this tool.
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The learning curve for this is pretty steep and hence will require rigorous training that is usually provided in intensive data analytics courses.
Python
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This is one of the most popular, simple and well-known coding languages that is used in the data science world.
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It is very versatile thereby can contribute to a lot of significant data science processes.
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Different formats of available data can be imported into codes using this.
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Creation of data sets is fairly easy thanks to this programming language.
Artificial intelligence and machine learning
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Machine learning has become the need of the hour, your course will cover this to an extent as well.
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You will learn about adversarial learning, reinforcement and neural networks among other concepts.
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Techniques in machine learning such as regression, decision trees, etc will be taught to you so you can become a skilled data analyst.
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All of these skills will help an analyst solve an organization’s problems and help predict the major outcomes for that firm.
Data visualization
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Since each organization produces and stores large amounts of data regularly, there is a need for that data to be converted into a comprehensible format.
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Pictorial representation of data is very effective.
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The course will enable one to convert data and information into charts and graphs which will help transmit relevant information to business stakeholders, even those who do not come from a technical background.
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This can be done by learning how to use various visualization tools that are available today.
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Complex information can thus be made easily understandable, thus helping the organization grasp the derived insights swiftly and work with the new data without delay.
Working with unstructured data
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A lot of unstructured data comes the data analyst’s way. A part of the course will be to teach you how to handle the data accurately.
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Such huge amounts of data can be overwhelming, but sorting it will be a technique taught to you.
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You will also develop the soft skills of understanding and manipulating such unstructured data to make optimum use of it.
Resource box
A course in data analytics would mean that you will be taken through statistical analysis, mathematics, programming languages, analytical tools, machine learning and artificial intelligence. Data analytics course pune can truly help aspiring analysts to learn how to work with huge datasets and bring out valuable information.
ExcelR – Data Science, Data Analytics Course Training in Hyderabad
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