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In this modern era of the internet, data is being generated at a rapid rate. Companies are looking for resources who can handle such vast volumes of data efficiently to make business decisions. In this video, you will learn the top 10 skills to become a data analyst. You'll get an idea about both technical and non-technical skills and also gain an understanding of the different tools, frameworks, and programming languages needed to become a data analyst.<br><br>Why become Data Analyst?<br>By 2020, the World Economic Forum forecasts that data analysts will be in demand due to increasing data collection and usage. Organizations view data analysis as one of the most crucial future specialties due to the value that can be derived from data. Data is more abundant and accessible than ever in todayu2019s business environment. In fact, 2.5 quintillion bytes of data are created each day. With an ever-increasing skill gap in data analytics, the value of data analysts is continuing to grow, creating a new job and career advancement opportunities. <br><br>The facts are that professionals who enter the Data Science field will have their pick of jobs and enjoy lucrative salaries. According to an IBM report, data and analytics jobs are predicted to increase by 15 percent to 2.72 million jobs by 2020, with the most significant demand for data analysts in finance, insurance, and information technology. Data analysts earn an average pay of $67,377 in 2019 according to Glassdoor.<br><br>Who should take up this course?<br>Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Data Analyst Masteru2019s Program, including:<br>1. IT professionals<br>2. Banking and finance professionals<br>3. Marketing managers<br>4. Sales professionals<br>5. Supply chain network managers<br>6. Beginners in the data analytics domain<br>7. Students in UG/ PG programs<br><br>uf449Learn more at: https://bit.ly/2SECA5r<br>
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10 Mathematics A strong knowledge of Mathematics and Statistics is a necessary requirement for any data analyst Linear Algebra Statistics Probability
9 Big Data Framework Working with the big data framework is crucial for a data analyst. Also, knowledge of Hadoop and its ecosystem is necessary Hadoop and its components
Data Cleaning & Data Wrangling 8 Data analysts perform data cleaning, data mining and data wrangling to derive information from vast volumes of the data
BI Tools – Data Visualization 7 BI Tools is a necessary skill to help build dashboards from the data and derive insights
Excel and ETL Tools 6 Data Analyst should have MS Excel, Data Warehousing and ETL skills to build reports and handle data efficiently
Programming Languages 5 Data Analysts should have good hand-on programming knowledge to solve complex issues
Database and SQL 4 Good knowledge of RDBMS and NoSQL databases in mandatory for a data analyst
3 Problem-Solving Data Analysts should always be ready to overcome any problem. They should have a knack to think out of the box and find a solution to problems Analytical skills Critical thinking
2 Business Knowledge A data analyst is expected to have a good working knowledge of the domain he/she is working in Solving business problems Analyzing Market trends
Communication and Presentation 1 Data Analysts are required to possess good communication and presentation skills. These are keys when it comes to collaborating with various teams and stakeholders Presentation skills Focus on the result Written skills
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