This Data Science with Python, R and Spark course will establish your mastery of data science and analytics techniques using Python. With this Python, R and Spark for Data Science Course, you’ll learn the essential concepts of Python and R programming and gain deep knowledge in data analytics, machine learning, data visualization, web scraping. The Developers of NETPARAM TECHNOLOGIES PVT LTD will provide you complete knowledge of the subject and we also help the students to work on live projects to better understand how Data Science work on real time scenario. Throughout this Data Science internship you will be working on real-life industry use cases Property Price Prediction using Linear Regression in R, Bank Credit Card Default Prediction using Logistic Regression, and Real Estate Price Prediction using Linear Regression, Identifying Good and Bad Customers for Granting Credit, Bank Marketing Analysis – Decision Tree and Random Forest Classifier and you will implement real-life use-cases on Media, Healthcare, Social Media, Aviation and HR.
Why Should You Take Data Science Course?
Eight Ways a Data Scientist can add value to any business
Data Science Jobs
An entry-level Data Scientist, IT with less than 1 year experience can expect to earn an average total compensation (includes tips, bonus, and overtime pay) of ?508,682 based on 56 salaries. An early career Data Scientist, IT with 1-4 years of experience earns an average total compensation of ?610,811 based on 155 salaries. A mid-career Data Scientist, IT with 5-9 years of experience earns an average total compensation of ?1,004,082 based on 66 salaries. An experienced Data Scientist, IT with 10-19 years of experience earns an average total compensation of ?1,724,618 based on 31 salaries.
Why us?
At NETPARAM TECHNOLOGIES PVT LTD , the internship is designed to make you a certified Data Science practitioner by providing you rich hands on training on the Data Science Models and work with Data Science Projects. Even with Data science you can make your concepts clear in Machine Learning and Deep Learning.
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