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How do I start learning data science?

A data scientist's role is not merely limited to studying the data; rather, they draw meaningful inferences that companies use to formulate their strategies to promote their brand and business.

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How do I start learning data science?

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  1. Session 1

  2. How do I start learning data science? If we have to pick the hottest learning skill that will give our career the right boost, we have to name data science. Data is the fuel that drives most industries. In the last few years, we have created a huge volume of data, and this number is only going to increase with time. Owing to this, there is a greater need for data scientists who can work on this data, segregate it and drive useful information out of it. A data scientist's role is not merely limited to studying the data; rather, they draw meaningful inferences that companies use to formulate their strategies to promote their brand and business.

  3. Making a career as a data scientist: In 2020, the average salary of a data scientist in the US was $113,000 a year, and in San Francisco, it was $140,000. If you want to make your career in a field that gives you good compensation and gives you great prospects, this is the time to enrol for a data science certification program. Several platforms are offering online data science certification programs. And the best way to start your journey as a data science expert is to enrol on the data science certification program. Although a good learning platform will provide you with all the knowledge and information about data science, it is the same practical application that will make the difference. Hence, you must emphasize choosing the right learning platform. Besides, there are also certain prerequisites that you need to match to become a data science expert.

  4. R Programming: If you wish to become an expert in Data Science, you must have in-depth knowledge about analytical tools, and one of the key aspects that you need to learn is R-programming. Around 43% of the data scientists use R to solve statistical problems.

  5. Hadoop platform: Another aspect that you need to learn is the Hadoop Platform. Although this is not a major requirement, knowing about Hive or Pig will give you an upper edge. SQL database: SQL or structured query language will help the data scientist to add, delete, and extract data from the database. Proficiency in SQL is going to help you excel as a data scientist.

  6. These are some of the basic prerequisites to become a data scientist. Besides, one also needs to know about machine learning, AI, and mathematics skills that will help one become an expert data scientist. In addition to the technical aspects, a data scientist also needs to know about non-technical skills like business acumen, presentation skill, and good communication skill, which will help you excel as a data science expert.

  7. Conclusion A good learning platform like the Global Tech Council will help you become an expert in both conceptual and practical learning. If you are also willing to enrol for the data science certification program, you must connect with the Global Tech Council.

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