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Top Skills Needed to Become an Expert Data Analyst

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.

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Top Skills Needed to Become an Expert Data Analyst

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  1. Session 1 1

  2. 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. 2

  3. 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. 3

  4. 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 doesn’t 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. 4

  5. 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 don’t work on machine learning, but having knowledge about the same is always going to be beneficial. ● ● ● 5

  6. 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. 6

  7. 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. 7

  8. 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. 8

  9. THANK YOU! Any questions? You can mail us at hello@globaltechcouncil.org 9

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