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Data Analysis with Python

Batch Price From £240 (approx. $297 USD) View Dates & Prices
Custom Price From £120 (approx. $149 USD) Price Calculator & Booking Short course on Data Analysis with Python
Total Duration: 8 Hours
Course level: Beginner
Delivery Method: Instructor-led Physical Classes or Virtual Classes
Certification: Certificate of Completion will be provided after completing the course

Course Overview

Python is a multi-paradigm programming language which has become the language of choice for data analysis, data visualisation and machine learning. This Data Analysis with Python course provides a concrete first step in learning data analysis.

In this course, you will be working with Jupyter notebook and setting up a database. After covering the Jupyter, you will learn Python’s NumPy package, a powerful extension with advanced mathematical functions. You will then move on to creating NumPy arrays and functions. Later you will explore Python’s pandas extension for data mining, managing your datasets by sorting and ranking them. Last but not least you’ll learn data visualisation with matplotlib.

Requirements

This course is suitable for those who already have basic knowledge of Python programming.

We highly recommend you complete the following course(s) before attending the Data Analysis with Python course:

Course Dates, Prices & Enrolment

All Training Physical Classes Virtual Classes
Time Zone:
Training MethodDates and TimesPrice 
Classroom Training 02 May 2024 - 03 May 2024
Thursday & Friday
05:00 AM - 09:00 AM ET 		£240 £360
(approx. $297 USD) 		Enrol Now
Classroom Training 11 May 2024 - 19 May 2024
2 Saturdays & 2 Sundays
05:00 AM - 08:00 AM ET 		£360
(approx. $446 USD) 		Enrol Now
Online Training using Zoom 11 May 2024 - 19 May 2024
2 Saturdays & 2 Sundays
10:00 AM - 01:00 PM ET 		£280 £360
(approx. $347 USD) 		Enrol Now
Online Training using Zoom 14 May 2024 - 23 May 2024
3 Tuesdays & 3 Thursdays
09:00 AM - 12:00 PM ET 		£280 £360
(approx. $347 USD) 		Enrol Now
Online Training using Zoom 08 Jun 2024 - 23 Jun 2024
3 Saturdays & 3 Sundays
10:00 AM - 12:00 PM ET 		£280 £360
(approx. $347 USD) 		Enrol Now
Classroom Training 17 Jun 2024 - 21 Jun 2024
Mon, Wed & Fri
05:00 AM - 09:00 AM ET 		£360
(approx. $446 USD) 		Enrol Now
Classroom Training 29 Jun 2024 - 07 Jul 2024
2 Saturdays & 2 Sundays
05:00 AM - 08:00 AM ET 		£360
(approx. $446 USD) 		Enrol Now
Classroom Training 30 Jul 2024 - 01 Aug 2024
Tue, Wed & Thu
05:00 AM - 09:00 AM ET 		£360
(approx. $446 USD) 		Enrol Now
Online Training using Zoom 10 Aug 2024 - 18 Aug 2024
2 Saturdays & 2 Sundays
10:00 AM - 01:00 PM ET 		£280 £360
(approx. $347 USD) 		Enrol Now
Classroom Training 24 Aug 2024 - 25 Aug 2024
Saturday to Sunday
05:00 AM - 11:30 AM ET 		£360
(approx. $446 USD) 		Enrol Now
Online Training using Zoom 10 Sep 2024 - 19 Sep 2024
2 Tuesdays & 2 Thursdays
09:00 AM - 12:00 PM ET 		£280 £360
(approx. $347 USD) 		Enrol Now
Online Training using Zoom 19 Nov 2024 - 28 Nov 2024
2 Tuesdays & 2 Thursdays
09:00 AM - 12:00 PM ET 		£280 £360
(approx. $347 USD) 		Enrol Now

Course Content

  1. Introduction to Data Analysis
    • What is data analysis
    • Why data analysis
    • Types of data analysis
    • Process flow of data analysis
  2. Introduction to NumPy
    • Pandas & NumPy Intro
    • Numpy Arrays & Array Properties
    • Array Creation
    • Random Number Generation
    • Indexing & Slicing Arrays
    • Array Operations
  3. Introduction to Pandas
    • Defining pandas library
    • Why do we need pandas library
    • Pandas data structure
    • Exploring the data of a DataFrame
    • Selecting data from DataFrame
    • Data cleaning in pandas DataFrame
    • Grouping and aggregation
    • Sorting and ranking
    • Adding row into DataFrame
    • Adding column into DataFrame
    • Dropping the row/column from DataFrame
    • Concatenating the dataframe
    • Merging/joining the dataframe
    • The merge() function
    • The join() function
    • Writing the DataFrame to external files.
  4. Data Visualisation with Matplotlib
    • What is data visualisation
    • What is Matplotlib
    • Getting started with Matplotlib
    • Line plot using Matplotlib
    • Customising the plot
    • Some basic types of plots in matplotlib
    • Export the plot into a file

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