The IT industry in Gurgaon has given it a new lease of life. From being the base for international MNCs like Google, HSBC, Nokia and Intel to budding startups, Gurgaon is the India’s fastest growing IT hub. The technological advancements have led to a surge in the demand for certified data scientists in the city.
The data science bootcamp offered by ACADGILD is the best data science course in Gurgaon. The NIT data science bootcamp is delivered in collaboration with NIT-Kurukshetra. The aim of this course is to equip students with the right skillset so that they become eligible for the best roles in data science.
* Sessions on R are not live, but self-paced.
Data scientists must know how to code - start by learning the fundamentals of two popular programming languages Python and R.
Once you have the core skill of programming covered – dip your feet in the nitty-gritties of working with data by learning how to wrangle and visualize them.
It is impossible to use data without knowledge of statistics. Collect, organize, analyze, interpret, and present data using these concepts of statistics.
Machines have increased the ability to interpret large volumes of complex data. Combine aspects of computer science with statistics to formulate algorithms that help machines draw insights from structured and unstructured data.
* Sessions on Tableau are not live, but self-paced
Complex data sets call for simple representations that are easy to follow. Visualize and communicate key insights derived from data effectively by using tools like Matplotlib and Tableau.
Go beyond superficial analysis of data by learning how to interpret them deeply. Use deep-learning nets to uncover hidden structures in even unlabeled and unstructured data using TensorFlow.
Lastly, manage your infrastructure with a data engineering platform like Spark so that your efforts can be focused on solving data problems rather than problems of machines.
The course culminates in an enterprise-level project for a fictitious client that will expose you to every stage of the data science process – from data acquisition and preparation to evaluation, interpretation, deployment, operations, and optimization. Every student is guided by industry experts as they bring their personal projects to life. Alternately, students may choose to work on a live project from their organization. Our students generally come from varying backgrounds. We encourage all our students to pursue projects that are best suited for their careers and domains. The project is an opportunity for you test your skills and demonstrate your ability to invent solutions for real world problems.
Guragaon is become a hub for thousands of startups and corporate giants in a relatively short span of time. This has led to plenty of opportunities for professionals in the tech space. As far as data science domain is concerned, machine learning jobs in Gurgaon are in high demand since most businesses are hiring professionals who can help them make data-driven decisions.
Data scientists are needed in industries like advertising, automobile, e-commerce, healthcare, hospitality, pharmaceuticals and IT.
Once you complete this classroom-based machine learning course in Gurgaon by ACADGILD, your certification status helps you get some of the top jobs in the city.
Openings for data scientists in the city vary with regards to the area of specialization.
Openings for data scientists in the city vary with regards to the skill set.
The payscale for a data scientist largely depends on his/her years of expertise in
According to popular job portals, in Gurgaon
Gurgaon is home to more than 13,000 MNCs and many of them offer excellent job opportunities, lucrative paychecks, and a consistent career growth to data scientists. The data science training in Gurgaon provided by Acadgild offers an in-depth and methodical understanding of the various aspects of Big Data.
Also, post completion of Acadgild’s data science courses in Gurgaon you don't have to take up any additional course as the course curriculum itself is comprehensive and covers all the necessary topics like programming in Python and R, data wrangling, statistics and probability, machine learning models with Python, deep learning using TensorFlow, data visualization using matplotlib and tableau and handling Big Data with Spark.