Data Science Training In Chennai

Expert Data Science Training taught by chief data scientist with real-world experience. This Data Science Course in Chennai is meant for students and professionals looking to enter the field of data analytics and work as a data scientist or a Artificial intelligence professionals.

Learn How to Become a Data Scientist? Our Data Science training in chennai includes R, Python, SAS, Hadoop, Spark, Machine Learning and Tableau with real time projects and assignments – Hands on 70 hours training on Live Data Science Project

ABOUT DATA SCIENCE COURSE IN CHENNAI

Automation Minds Data science training helps you to understand the process of transforming data into knowledge, and R is one of the most popular programming language used by data scientists. We are currently handling 2.7 Zettabytes of data, 90% of this exorbitant data volume is generated in last few years We are living in data driven economy the combination of programming skills with data science is in extremely high demand

In this Data Science course in Chennai, you’ll learn first learn about the practice of R Programming language, and Data Science. In a series of classes, you’ll learn how to transform and clean your data, create and interpret descriptive statistics, data visualizations, and statistical models. Finally, you’ll learn how to handle Data, make predictions using machine learning algorithms

DATA SCIENCE TRAINING OBJECTIVES

After completing this Data Science course, you will be able to:

  • Master basic Syntax in R
  • Preprocess the data before applying various machine learning algorithms
  • Perform operations in R including sorting, creating or importing data frame creation, basic data wrangling using DPLYR.
  • Write user defined functions and use control flow.
  • Master Visualizing the dataset using GGPLOT (picture reveals a lot of story about a dataset).
  • Distinguish between Supervised, Unsupervised and Reinforcement learning
  • Apply appropriate algorithm with problem statement for a given dataset whether to proceed with
    • Supervised Algorithms or
    • Unsupervised Algorithms or
    • Reinforcement learning
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