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This presentation talks about the two most interesting job roles in the field of data science, i.e., data scientist and data analyst. If you are wondering what the differences are between these two job roles, then this video is what you should be watching. Here, you will understand the job descriptions, the responsibilities, the various skills required, the companies hiring, and finally, the salary structure of a data scientist and that of a data analyst.<br><br>1. Job description<br>2. Responsibilities<br>3. Skill set<br>4. Salary<br>5. Companies hiring<br><br><br>This Data Analyst Masteru2019s Program in collaboration with IBM will make you an expert in data analytics. In this Data Analytics course, you'll learn analytics tools and techniques, how to work with SQL databases, the languages of R and Python, how to create data visualizations, and how to apply statistics and predictive analytics in a business environment.<br><br>Why become a 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>ud83dudc49Learn more at: https://bit.ly/2W87jsK
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What’s in it for you? Job Description Responsibilities Skillset Salary Companies hiring VS Data Analyst Data Scientist
Data Scientist Data Analyst Job Description A Data Analyst collects, processes, and performs analysis on large datasets. They perform data handling, modeling, and reporting Data Scientists are professionals who arrive at business conclusions by using advanced level data techniques
Data Analyst Data Scientist 1. Understanding the requirements Data preprocessing Responsibilities 2. Gathers data through querying 2. Interpretation of data 3. Filters and cleans data 3. Build Machine Learning models 4. Build data visualizations 4. Preparation of summary reports
Data Analyst Data Scientist Skillset
Data Analyst Data Scientist Annual Salary Range $61k - $136k $43k - $85k ₹198k - ₹924k ₹347k - ₹2m Source: PayScale Source: PayScale
Data Analyst Data Scientist Companies hiring
Job Growth IBM has projected that by2020, the number of job listings in data science and analytics will increase by364,000 U.S. Bureau of Labor Statistics predicts, the rise of data science needs will create 11.5 millionjobs by 2026
Job Growth Based on current demand and supply dynamics, the United States alone is projected to face a shortfall of 250,000data scientists by 2024
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