Build your career in Data Science using languages and tools like Python, Excel, R, Tableau, MySQL, PySpark and multiple hands-on projects.
With this E-Degree, you will gain in-depth learning of all the comprehensive concepts of Data Science & Engineering in a step-by-step manner.
With this E-Degree, you’ll get:
With this E-Degree, you will explore the world of data science with structured modules having well-defined interactive content from world-class industry leaders. It will help you understand the science behind Data Science in a step-by-step manner.
This is an extensive designed program that will cater to all your Data Science needs. This complete E-Degree program includes 9 up-to-date modules, comprehensive courses, various labs and projects, quizzes and so much more to ensure complete learning in the most efficient way.
The demand for data scientists has grown so unprecedented that Hiring Lab accepted that data science postings have rocketed to 256% - more than triple since 2013. But sadly, McKinsey said there was over 50% gap in the supply of data scientists versus demand. It was mainly due to the major skill gap which somehow is choking this positive technological change.
Let’s have a look on some exceptional statistics:
Eduonix is a pioneer in the technology-based knowledge industry delivering high-quality content across multiple areas of expertise. Our curriculum is prepared by a dedicated team of industry experts who bring in their years of experience for the professional training of learners.
Moreover, we have
Eduonix creates and distributes high quality technology training content. Our team of industry professionals have been training manpower for more than a decade. We aim to teach technology the way it is used in industry and professional world. We have professional team of trainers for technologies ranging from Mobility, Web to Enterprise and Database and Server Administration.Eduonix creates and distributes high quality technology training content. Our team of industry professionals have been training manpower for more than a decade. We aim to teach technology the way it is used in industry and professional world. We have professional team of trainers for technologies ranging from Mobility, Web to Enterprise and Database and Server Administration.
Aditya Dua is a Professional Application Developer, with extensive experience in building Workflow based applications which derive results based on data. In my Professional Role I have worked in varied capacities in various Fortune 500 companies. As an enterprise application developer I have worked in technologies from Java to J2EE including common frameworks like Spring, Hibernate. In my recent experience I am working as a Big Data Workflow developer in a Leading Bank in India working on Spark with Python.
John is a Mathematics Instructional Coach and a Data Scientist. He is employed by a secondary school district serving around 7,000 students annually in the role of the mathematics instructional coach. In addition to this role he also owns and operates C Solutions LLC, a consulting company specializing in data science, statistical analytics, and psychometric research. John's primary company work involves submissions of statistical and psychometric studies through ANSI (American National Standards Institute), and thus he can ensure all work carried out by himelf and C Solutions LLC meets the highest rigor of any standards set.
My expertise is in web development and emerging technologies and I am constantly learning something new.
Chip is an Associate Vice President Finance and Administration at Bluefield College. Chip Lambert has been developing websites and web applications for almost 20 years. He is currently a software engineer for Jenzabar Inc. and an online instructor for Bluefield College, teaching courses in web and mobile application development.
Matthew Walz is a Data Scientist and an Instructor at Binghamton University (SUNY) studying political science. He is interested in methodology with a focus on machine learning and artificial intelligence and their application in the social sciences for election forecasting. Currently Matthew is working as an instructor for PLSC 481M Election Forecasting at Binghamton University in addition to part-time work as a data scientist and conducting independent research.
Abhishek is a Analytics Manager at Red Hat. He has over 12 Years of experience in this field and specializes in QlikView, Statistics, Risk Evaluation and Dashboarding, Global Delivery Dashboarding, Xcelsius, Excel, Access and SQL SERVER.