![]() For instance, the Initiative for Analytics and Data Science Standards analyzed LinkedIn job listings to determine the skills most requested among employers. What’s important is to gain the skills you need to make yourself more competitive in the job market.Ĭonsider which data analytics skills you need for specific career paths. You can’t (and probably don’t want to) learn how to use every programming language, framework, or tool for data analytics. Choosing the right tool is like choosing the right road to your destination quickly and easily. Developers make them faster, add more features, and build them to handle ever-growing amounts of data. You may work with data daily, have a good feel for using it to make business decisions, and know how it can build success.īut there’s a catch: the sheer amount of data - and ways to store, analyze, and visualize it - can be overwhelming. These employers are usually looking for professionals versed in big data tech, but where do you start? Perhaps you work for a business, have a strong product to sell, and understand your customer base well. At least 80 percent of companies in agriculture and food production, automobile production, healthcare, and oil and gas production are doing so as well. The World Economic Forum’s 2020 Future of Jobs report indicates that more than 90 percent of organizations in digital communications, education, financial services, transportation, and mining and minerals will adopt big data analytics technologies by 2025. How Do I Choose Which Data Analytics Tools to Learn? Ready to boost your data analytics skills? Then join us in learning about the top data analytics tools that may benefit you in the future. For instance, data scientists earn a mean salary of $103,930 in the U.S., according to the Bureau of Labor Statistics, with several states (including New York) offering mean salaries above $120,000. Further, careers in data can be lucrative. In fact, the top three jobs are data analyst/scientist, AI and machine learning specialist, and big data specialist. According to the World Economic Forum, nearly all of the top 20 emerging jobs deal with data. ![]() Thus, keeping current with all the data analytics languages, frameworks, and tools can be overwhelming.ĭata analytics usually requires an ever-expanding vocabulary and resume to remain competitive, and it’s a field that needs more data experts. We swim in data (2.5 quintillion bytes are created daily, according to some estimates), and we are constantly developing faster and more automated ways to collect, organize, store, clean, retrieve, and analyze all of it. Today’s data shapes nearly every decision we make and can determine a company’s path to success. ![]() If you trade stocks, distribute and sell products, or develop marketing strategies, you likely understand the power of data. ![]()
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