Python for Data Science

This course includes:

Our Python for Data Science course is accredited by NITA

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Course Information

Overview

This introduction to Python for Data Science will kickstart your learning of Python for data science.

Course Brief

Introduction

  • Learn what data scientists do, receive an introduction to Python’s most common data science
    libraries, and get hands-on practice working with data.

Problem Set 1: Titanic Survivor Data

  • Practice using NumPy and Pandas to predict survival rates for Titanic passengers.

Data Wrangling

  • Learn to access, process, and clean different types of data.

Problem Set 2: Wrangling Subway Data

  • Practice your data wrangling skills with data.

Data Analysis

  • Get an introduction to important data analysis tools used by data scientists, including
    statistical tests and machine learning models.

Problem Set 4: Visualizing Subway Data

  • Apply data visualization techniques to explore and explain a dataset.

MapReduce

  • Learn how to work with massive amounts of data using MapReduce and other big data tools.

Problem Set 5: MapReduce on Subway Data

  • Practice using MapReduce.

Target Group

  • Data Analysts
  • Data Scientists
  • Risk Managers
  • Business Analysts
  • Geologists

Expected Outcome

  • Data Science
  • Python Programming
  • Numpy
  • Pandas

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