The Data Analytics and Data Science industry is growing multi-fold each year and is already revolutionising the way business is being done. Data is more abundant and accessible than ever in today’s business environment. We create 2.5 Quintillion bytes of data each day that is 2.5 Billion Gigabytes of data each day. With the increasing amount of data, organizations & business leaders want to hire data-savvy professionals who can analyze & get actionable business insights from this astronomical amount of data. Organizations view data analysis as one of the most crucial skills due to the value that it creates to the businesses. Professionals who enter Data Analytics enjoy lucrative salaries. According to an IBM report, data and analytics jobs are predicted to touch 2.72 million jobs by 2020 with a $67,900 average entry-level salary.
Learning path in this Data Analyst & Business Intelligence program is specifically designed to give you the tools that you need to be successful in the field of Data Analysis & Data Visualisation. By the end of this Data Analyst & BI training, you will:
Nitin has over 15 years of rich experience across IT & Analytics technology stack. He has worked for companies like Xerox, Wipro Technologies & have worked across different geographies like India, US & Australia, cutting across different domains like banking, supply chain, health care, e-commerce etc. Nitin has also trained 1000 plus candidates in the field of Data Science & Machine Learning. He likes exploring and solving challenging and competitive industrial problems in the field of Analytics, NLP, & Deep Learning, and converting them into actionable insights. Passionate about building scalable, high-quality practical data-driven solutions and likes to talk about futuristic ideas and product engineering. He has led several data science teams while pairing with machine learning researchers and engineers to maximise the speed of experimentation and production. His interests include Machine Learning, Image Processing, Computer Vision, Deep Learning and he has a strong understanding of analytics in the retail, marketing, and finance areas.
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