Data is in abundance and for corporations, big or small, investment in data analytics is no more a discretionary spend, but a mandatory investment for competitive advantage. In fact, by 2019, 90% of large organizations will have a Chief Data Officer. Indian data analytics industry alone is expected to grow to $2.3 billion by 2017-18. UpGrad’s survey also shows that leaders across industries are looking at data as a key growth driver in the future and believe that the data analytics wave is here to stay.
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This growth wave has created a critical supply-demand imbalance of professionals with the adequate know-how of making data-driven decisions. The scarcity exists across Data Engineers, Data Analysts and becomes more acute when it comes to Data Scientists. As a result of this imbalance, India will face an acute shortage of at least 2 lac data skilled professionals over the next couple of years.
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In pursuit of bridging this gap, UpGrad has partnered with IIIT Bangalore, to deliver a first-of-its-kind online PG Diploma program in Data Analytics, which over the years will train 10,000 professionals. Offering a perfect mix of academic rigor and industry relevance, the program is meant for all those working professionals who wish to accelerate their career in data analytics.
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The Advanced Certificate Programme in Data Science at UpGrad will include modules in Statistics, Data Visualization & Business Intelligence, Predictive Modeling, Machine Learning, and Big Data. Additionally, the program will feature a 3-month project where students will work on real industry problems in a domain of their choice. The first batch of the program is scheduled to start on May 2016.
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Who is eligible to pursue a postgraduate degree in data analytics?
Data Science courses are provided as a path of specialty in Engineering, Computer Science, and Management at the postgraduate level. A Bachelor's degree with at least 50% in aggregate or equivalent, preferably in Science or Computer Science, from a recognized university, is the minimum requirement for a Data Analytics program.
What skills are needed to study data analytics?
Because data analytics is not a highly academic subject, it is not difficult to enter into it. However, in order to do the job of a data analyst, you will need to acquire a wide range of skills, one of which is the capacity to think critically. To be successful at data analysis, you'll need strong analytical and numerical abilities, as well as a solid grasp of computer applications such as SQL, Hive, Pig, Python, R, SAS, SPSS, and Excel.
Good interpretative and communication skills are necessary to be a successful data analyst, i.e., the ability to explain the process of data analysis and its conclusion to a variety of audiences (technical and non-technical).One must also be detail-oriented and capable of problem-solving.
How long does it take to be a data analyst from the ground up?
A bachelor's degree, which generally takes 3-4 years to finish, is required for data analyst employment. A master's degree or MBA can be earned in less than two years, and a post-certificate master's in less than a year. If you want to change careers and become a data analyst but don't have any prior experience, an online data analyst degree is a good place to start. The course will solidify your knowledge of the subject while also allowing you to work on real projects and learn and improve your abilities. If you are a graduate, you can pursue a postgraduate degree in data analytics.
