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Data Science with Python Course

The Data Science with Python course provides a complete overview of Data Analytics tools and techniques using Python. Learning Python is a crucial skill for many Data Science roles. Acquiring knowledge in Python will be the key to unlock your career as a Data Scientist.

Python Data Science Course Overview

The Python Data Science course teaches you to master the concepts of Python programming. Through this Python for Data Science training, you will gain knowledge in data analysis, machine learning, data visualization, web scraping, & natural language processing. Upon course completion, you will master the essential tools of Data Science with Python.

Python Data Science Training Key Features

  68 hours of blended learning

  4 industry-based projects

  Interactive learning with Jupyter notebooks labs

  Lifetime access to self-paced learning

  Dedicated mentoring session from faculty of industry experts

Benefits

Data Science is an evolving field and Python has become a required skill for 46-percent of jobs in Data Science. The demand for Data Science professionals will grow an estimated 1581-percent by 2020 and professionals with Python skills will have an additional advantage.

Eligibility

The demand for Data Science professionals has surged, making this course well-suited for participants at all levels of experience. This Python for Data Science training is beneficial for analytics professionals willing to work with Python, Software, and IT professionals interested in the field of analytics, and anyone with a genuine interest in Data Science.

Pre-requisites

To best understand the Python Data Science course, it is recommended that you begin with the courses including, Introduction to Data Science in Python, Math Refresher, Data Science in Real Life, and Statistics Essentials for Data Science. These courses are offered as free companions with this program.

Target Audience:

Analytics professionals willing to work with Python
Software and IT professionals interested in analytics
Anyone with a genuine interest in data science

Key Learning Outcomes:

  • Gain an in-depth understanding of data science processes, data wrangling, data exploration,
    data visualization, hypothesis building, and testing; and the basics of statistics.
  • Understand the essential concepts of Python programming such as datatypes, tuples, lists,
    dicts, basic operators, and functions.
  • Perform high-level mathematical computations using the NumPy and SciPy packages and
    their large library of mathematical functions.
  • Perform data analysis and manipulation using data structures and tools provided in the
    Pandas 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 and matplotlib library of Python
    for data visualization

Fiest Tech

Administrator

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  • Price
    USD $320.00
  • Instructor Fiest Tech
  • Duration 50 hours
  • Lessons 145
  • Enrolled 890 Enrolled
  • Access Lifetime

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