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Description

A Data Scientist combines statistical and machine learning techniques with Python programming to analyze and interpret complex data.

This course will establish your expertise in 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 visualisation, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.

 

Learn to visualize real data with matplotlib's functions and get to know new data structures such as the dictionary and the Pandas Dataframe. After covering key concepts such as Boolean logic, control flow and loops in Python, you're ready to blend together everything you've learned to solve a case study using hacker statistics.

Objectives

The Data Science with Python course will furnish you with in-depth knowledge of the various libraries and packages required to perform data analysis, data visualization, web scraping, machine learning and natural language processing using Python.  

Python has surpassed Java as the top language used to introduce US students to programming and computer science, and 46 percent of data science jobs list Python as a required skill.

Course Content
Topics Name
Online Session
Online Session
Python Introduction
NA

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NA
Data_Science_Case_Study
NA

Pandas, Matplotlib

Get detailed course syllabus in your inbox     View PDF
Machine Learning Day3
NA

Machine Learning

NA
Prerequisite

Python basics 

Requirements

Anaconda Python3


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