What Is Data Science?

Data Science is a Concept to unify statistics, data analysis and their related methods "to understand and analyze actual phenomena" with data. It employs techniques and theories drawn from many cluster analysis, data mining, databases, and visualization.
The Data Science Training enables you to gain knowledge of the entire Life Cycle of Data Science, analyzing and visualizing different data sets, different Machine Learning Algorithms like Linear regression, K-Means Clustering, Decision Tress, Random Forest, Neural Network, different optimization techniques and advanced concept in data science.

Why Python for Data Science?

Python offers plenty of benefits which mean that an increasing number of people are adopting Python for their work. As one of the most popular mainstream programming languages on the market, it’s a practical choice for tech types of all kinds – data scientists

Python for Data Science

  • Python is easy to use
  • Python is versatile
  • Python is better for building analytics tools
  • Data visualization with Python is easy
  • Python is better for deep learning
  • IT Professionals
  • Statisticians
  • Programmers
  • Business Strategists
  • This course is also suitable for freshers who have no prior experience in Data Science and/or analytics.
There are no eligibility criteria for this course. However, participants are expected to have a working knowledge of computers.


Introduction to Data Science

Deep dive into Machine Learning


Statistics in Data Science

Artificial Neural Network and Deep Learning

Spark and python

Python for Data Science

Hadoop and python

Data Visualization Using IBM Watson Analytics

Why Pace for the Data Science Course?

  • IBM Certification
  • Industry Connect
  • Course Structure
  • Faculty

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