Data Science With Python Training

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Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

Data Science With Python Training Course Overview

The Data Science with Python course has been designed to provide in-depth knowledge of the various libraries and packages that are required to perform data analysis, data visualization, web scraping, machine learning, and natural language processing using Python. The data science with python course is based on the live projects, demonstrations, assignments, and the case studies to provide a hands-on as well as practical experience to the aspirants.

Moreover, the course insights on PROC SQL and other statistical procedures such as: PROC MEANS, PROC FREQ, etc. along with the advanced analytics techniques to have a clear vision of decision tree, regression and clustering.

After completing the Data Science with Python training the candidates would be able to:

  • To perform scientific and technical computing using 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 Pandas package
  • Gain an in-depth understanding of supervised learning and unsupervised learning models like linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline
  • Use Scikit-Learn package for natural language processing
  • How to use the matplotlib library of Python for data visualization
  • Extract useful data from websites by performing web scraping using Python
  • Integrate Python with Hadoop, Spark, and MapReduce
Target audience
  • The Analytics professionals, who are willing to work with Python
  • The Software professionals, who are looking to switch their career in Analytics field
  • IT professionals  interested in pursuing a career in analytics
  • The Graduates, looking forward to build their career in the Analytics and Data Science
  • The Experienced professionals,  who would like to harness the data science in their fields
  • Anyone, who has  a genuine interest in the field of Data Science
Prerequisites

There are no prerequisites for this course. The Python basics course included with this course provides an additional coding guidance.

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Data Science With Python Training Course curriculum

Curriculum Designed by Experts

Download Curriculum DOWNLOAD CURRICULUM

The Data Science with Python course has been designed to provide in-depth knowledge of the various libraries and packages that are required to perform data analysis, data visualization, web scraping, machine learning, and natural language processing using Python. The data science with python course is based on the live projects, demonstrations, assignments, and the case studies to provide a hands-on as well as practical experience to the aspirants.

Moreover, the course insights on PROC SQL and other statistical procedures such as: PROC MEANS, PROC FREQ, etc. along with the advanced analytics techniques to have a clear vision of decision tree, regression and clustering.

After completing the Data Science with Python training the candidates would be able to:

  • To perform scientific and technical computing using 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 Pandas package
  • Gain an in-depth understanding of supervised learning and unsupervised learning models like linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline
  • Use Scikit-Learn package for natural language processing
  • How to use the matplotlib library of Python for data visualization
  • Extract useful data from websites by performing web scraping using Python
  • Integrate Python with Hadoop, Spark, and MapReduce
Target audience
  • The Analytics professionals, who are willing to work with Python
  • The Software professionals, who are looking to switch their career in Analytics field
  • IT professionals  interested in pursuing a career in analytics
  • The Graduates, looking forward to build their career in the Analytics and Data Science
  • The Experienced professionals,  who would like to harness the data science in their fields
  • Anyone, who has  a genuine interest in the field of Data Science
Prerequisites

There are no prerequisites for this course. The Python basics course included with this course provides an additional coding guidance.

Course Prerequisite

Course Target Audience

Course Content

  • Introduction to the Data Science
  • Different Sectors Using Data Science
  • The Purpose and Components of Python

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  • Know Why Big Data Solutions are provided for Python?
  • Describing Hadoop Core Components
  • The Python Integration with HDFS using Hadoop Streaming
  • The Python Integration with Spark using PySpark

Download Curriculum DOWNLOAD CURRICULUM
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