Data Analytics refers to the use of advanced data tools to analyse large volumes of Data to uncover patterns and connections and provide valuable insights to business leading to better decision making.Associate analytics course will give delegates an overview of the current data trends and technologies that affect business models and inform strategies. The technology tools and platform covered under this courses are R language, Python, NoSQL, Weka, Business Intelligence tools
The fees is ₹1,10,000 + GST.
0% interest EMI schemes available with Bajaj and Eduvanz. The EMI details are listed below.
Bachelor's Degree in Statistics/Science/Technology Mathematics or any other course
As organisations take a thoughtful approach to developing unique analytics strategies and drive impactful outcomes, the requirement for analytics professionals is growing. There is also a booming demand for a cross-functional data science team that includes Data Analysts, Data Architects, DevOps engineers, Data Engineers and Data Visualization professionals.
As companies plow in more investments to realize impact from analytics initiatives, the need for cross-functional teams and data science talent has never been more acute. In our recent Analytics & Data Science study, we highlighted the overall growth in analytics and data science ecosystem with India contributing to 6% of open job openings worldwide. The total number of analytics and data science job positions available are 97,000.
Content Courtesy: analyticmagindia.com
India is expected to see 150,000 openings in data science this year, up nearly 62% from 2019, according to ed-tech firm Great Learning. About seven in 10 jobs would be for people with less than five years of experience, with BFSI, energy and pharma most eager to hire them. There is a huge dearth of qualified talent – close to 97,000 positions related to analytics and data remain vacant. That’s one of the reasons data science professionals are commanding a premium: Those with just three years of experience can earn as much as ₹20,00,000 per annum.
Content Courtesy: blog.linkedin.com