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Data Scientist Level 2: Data Science with Python

In this course you will have mastery of Data Science and analytics techniques using Python with hands-on excercise.
Here you will learn the essential concepts of Python programming and you will gain in-depth knowledge in data analytics, Machine Learning, data visualization, web scraping and natural language processing.

Course Outlines

  • Data Science and Data Analytics Overview
  • Statistical Analysis and Business Applications
  • Python Environment Setup
  • Mathematical Computing with Python (NumPy)
  • Scientific computing with Python (Scipy)
  • Data Manipulation with Pandas
  • Machine Learning with Scikit–Learn
  • Natural Language Processing with Scikit Learn
  • Data Visualization in Python using matplotlib
  • Web Scraping with BeautifulSoup
  • Python integration with Hadoop MapReduce and Spark

What you'll learn

  • Understanding of Data Science processes, data processing, data exploration, data visualizationa and hypothesis building.
  • The basics of statistics, creating python environment and other tools and libraries.
  • Perform high-level mathematical computing using the NumPy library.
  • Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO.
  • Perform data analysis and manipulation using Pandas library.
  • In depth understanding of Machine Learning using the Scikit-Learn package.
  • In-depth understanding of supervised learning and unsupervised learning models such as linear regression, logistic regression, clustering, K-NN and dimensionality reduction

Course Content

  • Understanding of Data Science processes, data processing, data exploration, data visualizationa and hypothesis building.
  • The basics of statistics, creating python environment and other tools and libraries.
  • Perform high-level mathematical computing using the NumPy library.
  • Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO.
  • Perform data analysis and manipulation using Pandas library.
  • In depth understanding of Machine Learning using the Scikit-Learn package.
  • In-depth understanding of supervised learning and unsupervised learning models such as linear regression, logistic regression, clustering, K-NN and dimensionality reduction

Customize a Course

We will be happy to assist you for inquiries about a customized scheduled or program:
Rachael McPherson, Director of Sales
☎(250)882-9549 📧rachael@qacademy.tech
Caroline Santos, Corporate and Custom Sales Manager- Eastern Canada
☎(514)771-3206 📧caroline.santos@qacademy.tech

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Course Info

Prerequisites
This course does not require any prerequisites. Just your eagerness to learn!
Duration
20 Hours

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Customize A Course
We will be happy to assist you for inquiries about a customized scheduled or program:
Tanvir Qureshi
Caroline Santos
Corporate and Custom Sales Manager
(Eastern Canada)
Phone Number
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Data Scientist Level 2: Data Science with Python

  • Course level: Intermediate
  • Categories Data Science
  • Total Enrolled 0
  • Last Update June 27, 2022

Description

In this course you will have mastery of Data Science and analytics techniques using Python with hands-on excercise.
Here you will learn the essential concepts of Python programming and you will gain in-depth knowledge in data analytics, Machine Learning, data visualization, web scraping and natural language processing.

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