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About Course

Python has emerged as a star of the Data Science world owing to the flexibility it offers for end to end enterprise wide analytics. Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis.

Upcoming Batches

17 December 2018

Weekdays | 8.00 AM IST

17 December 2018

Weekdays | 8.00 AM IST

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Course Description

For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. Eduprism’s Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and gain deep knowledge in data analytics, machine learning, data visualization, web scraping and natural language processing. Eduprism’s Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like pandas, numpy, matplotlib, scikit, and master the concepts like Python machine learning, scripts, and sequence. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.

Key Features

Real life Use Cases

Lifetime Access

24x7 Expert Support

Expert Instructors

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Course Objectives

When you complete this Course, You will be able 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.
  • Create high-value reports and dashboards.
  • Set up workflow automation.
  • 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.
  • Gain an in-depth understanding of supervised learning and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline.
  • Use the Scikit-Learn package for natural language processing.
  • Use the matplotlib library of Python for data visualization.
  • Extract useful data from websites by performing web scrapping using Python.
  • Integrate Python with Hadoop, Spark and MapReduce

Who Should Take this Course?

There is a growing demand for skilled data scientists across all industries that make this course suited for participants at all levels of experience. We recommend this Python for Data Science training particularly for the following professionals:

  • Programmers, Developers, Technical Leads, Architects
  • Graduates looking to build a career in analytics and data science
  • Business Analysts who want to understand Machine Learning (ML) Techniques
  • Information Architects who want to gain expertise in Predictive Analytics
  • 'Python' professionals who want to design automatic predictive models.
  • Analytics professionals who want to work with Python
  • Anyone with a genuine interest in the field of data science

Course Curriculum

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