Data Science Training in Chandigarh

Piford Technologies provide you the best Python for Data Science training course in chandigarh, mohali and panchkula.This Python for Data Science training course will enable you to: Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics. Install the required Python environment and other auxiliary tools and libraries Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO and Weave Perform data analysis and manipulation using data structures and tools provided in the Pandas package Gain expertise in machine learning using the Scikit-Learn package .

    Data Science Overview

  • Introduction to Data Science
  • Python Basics

  • List
  • Tuple
  • Dictionary
  • Functions
  • Modules
  • Python for Data Science

  • Numpy
  • Pandas
  • Scikit or Sklearn
  • Scipy
  • Matplotlib
  • Machine Learning

  • What is Machine Learning?
  • Machine Learning Process Flow
  • Data Pre-Processing
    • Introduction to Dimensionality
    • Why Dimensionality Reduction
    • PCA
    • Feature Scaling by different scaling methods
    • Data Scaling by different scaling methods
  • Supervised Learning
    • Classification Algorithms - Will work on Atleast 5 classification Models
    • Regression Algorithms - Will work on 5 Regression models which include DT,RF
  • Unsupervised Learning
    • What is Clustering & its Use Cases?
    • Clusterning Algorithms
    • Big Data

    • What is Data Extraction
    • Types of Data
      • Structred
      • Semi Structred
      • UnStructred
    • Raw and Processed Data
    • Data Wrangling
    • Web Scraping- Facebook
    • Web Scraping- Twitter
    • Data Munging
    • Databases

    • Relational Database
    • Document Database
    • Unstructred Database
    • Hadoop

    • HDFS
    • Map Reduce
    • Pig
    • Hive
    • Hbase
    • Sqoop
    • Flume
    • Zookeeper