Data Scientist


Data is at the core of every aspect of the world today and Data Scientist is one of the hottest professions. Accelerate your career with the Data Scientist Program. Experience world-class training by industry leaders on Data Science and Machine learning skills. Gain hands-on exposure to key technologies including R, Python, Tableau, Hadoop and Spark.

A Data scientist is the top ranking professional in any analytics organization. Glassdoor ranks Data Scientists first in the 25 Best Jobs. In today’s market, Data Scientists are scarce and in demand. As a Data Scientist, you are required to understand the business problem, design a data analysis strategy, collect and format the required data, apply algorithms or techniques using the correct tools, and make recommendations backed by data.

  • By 2021, IDC predicts Data Science and cognitive computing spending will reach $52.2 billion.
  • IBM predicts demand for Data Scientists will rise by 28% by 2020.
  • 2.7 million new jobs are estimated for Data Science and Analytical roles by 2020.
  • 29% increase in demand for data scientists year over year and a 344% increase since 2013.
  • Searches by job seekers skilled in data science grew at a slower pace (14%), suggesting a gap between supply and demand.
  • Forrester Research analyst Brandon Purcell said demand for data scientists will only grow, as organizations increasingly rely on data-driven insights.
  • In August 2018, LinkedIn reported that there’s a shortage of 152,000 people with data science skills.
  • Flipkart has 700 job openings for Data science.
  • According to The Hindu, in a recent survey, there are close to 97,000 data analytics positions that are vacant in India.

This program will make students industry-ready for Data Science job roles. Data science is a multidisciplinary field that utilizes data inference, algorithm development, as well as technology, in order to allow professionals to be able to solve complex analytical issues. This program teaches candidates how to dive into data on a granular level, after which they can mine, study, and understand complex behaviors, inferences, and trends. This brings to the surface any hidden insights that can help a company in making smarter business decisions.

Curriculum Highlights

  • SQL, R, Python
  • Supervised and Unsupervised learning
  • Time Series, Text Mining
  • Tableau
  • Big Data Hadoop and Spark
  • Deep Learning and Neural Networks

Tools Covered

  • Apache Flume, Spark, Hbase
  • NumPy, SciPy, Pandas
  • Hive, Pig, Sqoop
  • Hadoop HDFS, MapReduce

Key Features

  • Industry recognized trainers Edge-of-your-seat online learning
    Live sessions by experts on industry topics
  • One-on-one discussion and feedback sessions
  • One-on-one discussion and feedback sessions
  • Global peer collaboration and networking
  • Real-world, case-based learning Hands-on learning and Hackathons
    Capstone Project and Live Projects Job assistance, Placement drives
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