Develop Data Analytics skills- <\/strong>Before starting a career, it is also important to learn and develop crucial data analytics skills and tools that will make you invaluable to potential employers. There are two types of skills required to become a successful data analyst.<\/li><\/ul>\n\n\n\nSoft Skills- <\/strong>There are a number of soft skills required in this dynamic job role, such as effective communication skills, leadership skills, project management skills, organization skills, and above all, critical thinking skills. All these skills are important regardless of the industry in order to be an effective data analyst. <\/p>\n\n\n\nTechnical Skills- <\/strong>Besides soft skills, you are also required to learn and develop several technical skills to perform your duties as a data analyst. Some of the most in-demand technical analytical skills are Data visualization, Machine learning, MapReduce, Predictive analysis, and fundamental knowledge\/understanding of Data Science and Big data.<\/p>\n\n\n\nSome analytical tools are also beneficial to learn such as MongoDB, Apache Hadoop, Apache Pig, Apache Hive, etc. as employers seek to hire professionals working with these specific tools.<\/p>\n\n\n\n
Data Analysts can also possess some transferable skills<\/strong> such as Creativity, Time management, Leadership, Teamwork, Budgeting, etc. <\/p>\n\n\n\n- Coding- <\/strong> The next step to begin your career as a data analyst is to learn to code as it is considered one of the most important skills to effectively work in an analytical role. It involves the ability to read, write, and analyze data and code. Some of the most in-demand analytical tools and programming languages for coding are Python, SQL, R, and Excel. So every data analyst must learn at least 1or 2 programming languages to understand fundamental coding. <\/li><\/ul>\n\n\n\n
- Networking- <\/strong>Expand your connections and networking, which is important for any type of career. Join networking events to broaden your knowledge and get into the world of your interest. Find friends and people who are in the same fields or roles. You can also attempt data competitions and perform some real-time industry projects to land a career in this domain. <\/li><\/ul>\n\n\n\n
- Make an attractive Portfolio- <\/strong>Now it\u2019s time to showcase your abilities. A portfolio is evidence of your qualifications, degrees, certifications, skills, and abilities. Make your ePortfolio that gives an impressive impact than a resume. You can also sign up for Kaggle and can create a Github profile to showcase your expertise. <\/li><\/ul>\n\n\n\n
Nowadays, there is a high and continuous demand for data analysts as there is a huge shortage of skilled and talented people. So be ready to grab the opportunities and gear up your career in data analytics.<\/p>\n","protected":false},"excerpt":{"rendered":"
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