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Overview

Python, renowned as a multi-paradigm programming language, has emerged as the go-to choice for data analysis, visualization, and machine learning tasks. This Data Analysis with Python course serves as an essential starting point for mastering data analysis techniques. Through hands-on instruction, participants will dive into utilizing Jupyter notebooks and database setup, followed by an exploration of Python’s NumPy package, renowned for its advanced mathematical capabilities.

Participants will learn to create NumPy arrays and functions, subsequently delving into the use of Python’s pandas extension for efficient data mining and dataset management, including sorting and ranking. Lastly, the course covers data visualization techniques using matplotlib, providing learners with a comprehensive toolkit for effective data analysis and presentation.

Requirements

This course is designed for individuals with a foundational understanding of Python programming.

Course Contents

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

Why Choose Us?

Our aim is not just to get you the qualification but also guide you through all processes while you are applying for your SIA Licence. Following are some of the reasons why you should choose us as your training provider:

  • Excellent Success Rate!
  • Fully accredited and authorized training center in London!
  • Most competitive prices with NO HIDDEN COSTS!
  • Prices are all inclusive of tuition, handbook, notebook, exams and certificate costs!
  • Nationally recognized and Ofqual accredited training course!
  • Highly skilled and qualified trainers with a great wealth of practical knowledge & experience!
  • Post-qualification email support while you are preparing to book your licence application!
  • Free guidance session on how to apply and obtain a SIA Licence!

Course Fee

£280

This Course Includes:

Total Duration
12 Hours
Course Level
Beginner
Delivery Method
Online Training

Certification:

Certificate of Completion will be provided after completing the course.

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