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Python Essentials With Pandas, Numpy, And Matplotlib For Data Science
Skill Success

Summary

Price
£157 inc VAT
Or £52.33/mo. for 3 months...
Study method
Online
Duration
Self-paced
Qualification
No formal qualification
Certificates
  • Certificate of completion - Free
Additional info
  • Tutor is available to students

Overview

This course includes lifetime access so you can complete it at your own speed.

This course is designed for those interested to learn the basics of Python for Data Science, various data types and data structures in Python, libraries used in Data Science such as Numpy and Pandas, and how to visualize data using Matplotlib.

Benefits of taking this course include:

  • Unlimited and lifetime access to the course
  • Learn the course at your own pace
  • Course can be accessed on any platform
  • 24/7 Customer support

Certificates

Certificate of completion

Digital certificate - Included

Course media

Description

In this course, we will learn the basics of Python data structures and the most important Data Science libraries like NumPy and Pandas with step-by-step examples!

Overall, this course is a perfect starter pack for your long journey ahead with big data and machine learning.

Who this course is for:

  • Data science enthusiasts who want to begin their career

This course will cover the following topics:

Section 1 - Introduction

  • Course Introduction And Table of Contents
  • Course Resources
  • Introduction To Python, Pandas And Numpy
  • System And Environment Setup

Section 2 - Python

  • Python Strings – Part 1
  • Python Strings – Part 2
  • Python Numbers And Operators – Part 1
  • Python Numbers And Operators – Part 2
  • Python Lists – Part 1
  • Python Lists – Part 2
  • Python Lists – Part 3
  • Python Lists – Part 4
  • Python Lists – Part 5
  • Tuples In Python
  • Sets In Python – Part 1
  • Sets In Python – Part 2
  • Python Dictionary – Part 1
  • Python Dictionary – Part 2

Section 3 - NumPy

  • NumPy Library Introduction – Part 1
  • NumPy Library Introduction – Part 2
  • NumPy Library Introduction – Part 3
  • NumPy Array Operations And Indexing – Part 1
  • NumPy Array Operations And Indexing – Part 2
  • NumPy Multi-Dimensional Arrays – Part 1
  • NumPy Multi-Dimensional Arrays – Part 2
  • NumPy Multi-Dimensional Arrays – Part 3

Section 4 - Pandas

  • Introduction To Pandas Series
  • Introduction To Pandas Dataframes
  • Pandas Dataframe Conversion And Drop – Part 1
  • Pandas Dataframe Conversion And Drop – Part 2
  • Pandas Dataframe Conversion And Drop – Part 3
  • Pandas Dataframe Summary And Selection – Part 1
  • Pandas Dataframe Summary And Selection – Part 2
  • Pandas Dataframe Summary And Selection – Part 3
  • Pandas Missing Data Management And Sorting – Part 1
  • Pandas Missing Data Management And Sorting – Part 2
  • Pandas Hierarchical-Multi Indexing
  • Pandas CSV File Read Write – Part 1
  • Pandas CSV File Read Write – Part 2
  • Pandas JSON File Read Write Operations
  • Pandas Concatenation Merging And Joining – Part 1
  • Pandas Concatenation Merging And Joining – Part 2
  • Pandas Concatenation Merging And Joining – Part 3
  • Pandas Stacking And Pivoting – Part 1
  • Pandas Stacking And Pivoting – Part 2
  • Pandas Duplicate Data Management
  • Pandas Mapping
  • Pandas Groupby
  • Pandas Aggregation
  • Pandas Binning Or Bucketing
  • Pandas Re-Index And Rename – Part 1
  • Pandas Re-Index And Rename – Part 2
  • Pandas Replace Values
  • Pandas Dataframe Metrics
  • Pandas Random Permutation
  • Pandas Excel Sheet Import
  • Pandas Condition Selection And Lambda Function – Part 1
  • Pandas Condition Selection And Lambda Function – Part 2
  • Pandas Ranks Min Max
  • Pandas Cross Tabulation

Section 5 - Matplotlib

  • Graphs And Plots Using Matplotlib – Part 1
  • Graphs And Plots Using Matplotlib – Part 2
  • Matplotlib Histograms

Who is this course for?

This course is designed for those interested to learn the basics of Python for Data Science, various data types and data structures in Python, libraries used in Data Science such as Numpy and Pandas, and how to visualize data using Matplotlib.

Requirements

No prior knowledge is required to take this course.

Career path

None

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Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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