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Data Visualisation with Python Instructor-led Training

Free server access, Class recordings, Certification guidance, Job & Interview assistance, Course Completion Certificate


Uplatz

Summary

Price
£899 inc VAT
Or £74.92/mo. for 12 months...
Study method
Online + live classes
Duration
30 hours · Part-time or full-time
Qualification
No formal qualification
Certificates
  • Uplatz Certificate of Completion - Free
Additional info
  • Tutor is available to students

Add to basket or enquire

Overview

Uplatz offers this comprehensive training on Data Visualisation with Python. This course will be conducted as online instructor-led training classes.

Data visualisation is the discipline of trying to understand data by placing it in a visual context so that patterns, trends and correlations that might not otherwise be detected can be exposed. Python offers multiple great graphing libraries that come packed with lots of different features.

"A picture is worth a thousand words." We are all familiar with this expression. It especially applies when trying to explain the insights obtained from the analysis of increasingly large datasets. Data visualisation plays an essential role in the representation of both small and large-scale data. One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way.

The online tutor-led training course Data Visualization with Python will expose you to all of the most important and practical uses of the Python programming language for data wrangling, administration, analysis, and basic visualisations. The course will teach you how to use the Python programming language for data science and a variety of Python libraries developed for scientific computing and data analysis, such as NumPy, pandas, matplotlib, IPython, SciPy, and others.


The course covers a variety of topics related to data processing and analysis using Python language including standard Python data structures and other data objects used for scientific and statistical computing available in NumPy (multi-dimensional arrays) and pandas (Series, DataFrame) libraries, importing/exporting data from various file formats (Excel spreadsheets, csv, tab, txt etc.), basic and more advanced data transformations and essential data wrangling techniques, summaries, data aggregations, cross-tabulations, frequency and pivot tables, simple graphical representations of the data (bar plots, histograms, box plots etc.) using matplotlib, seaborn and plotnine libraries, introduction to hypothesis testing with correlations, t-tests and essentials of predictive modelling using multiple linear regression methods with SciPy, pingouin, statsmodels and scikit-learn packages.

With Data Visualisation with Python course you will learn-

  • You'll learn Matplotlib and Seaborn and have a solid understanding of how they are used in applied machine learning.
  • You'll work through hands on labs that will test the skills you learned in the lessons.
  • You'll learn all the Python vernacular specific to data visualization you need to take you skills to the next level.
  • You'll be on your way to becoming a real world machine learning engineer or data engineer.

Course Outcomes

  • Learn how to use Python to understand and use various plot kinds.
  • Investigate and use various charting libraries.
  • Understand how to see things and how to make them work for you.
  • Improve your Python data manipulation abilities.
  • Use industry-standard software like as Matplotlib, Seaborn, and Bokeh.
  • Recognize many data forms and representations.

Course media

Description

Data Visualisation with Python - Course Syllabus

Module 1 - Introduction to Visualization Tools

  • Introduction to Data Visualization
  • Introduction to Matplotlib
  • Basic Plotting with Matplotlib
  • Dataset on Immigration to Canada
  • Line Plots

Module 2 - Basic Visualization Tools

  • Area Plots
  • Histograms
  • Bar Charts

Module 3 - Specialized Visualization Tools

  • Pie Charts
  • Box Plots
  • Scatter Plots
  • Bubble Plots

Module 4 - Advanced Visualization Tools

  • Waffle Charts
  • Word Clouds
  • Seaborn and Regression Plots

Module 5 - Creating Maps and Visualizing Geospatial Data

  • Introduction to Folium
  • Maps with Markers
  • Choropleth Maps

Who is this course for?

Everyone

Requirements

Passion to achieve your goals!

Career path

  • Data Visualization Analyst
  • Data Visualization Developer
  • Data Visualization Engineer
  • Data Analyst
  • Data Scientist
  • Data Engineer
  • MI Analyst
  • Reporting Analyst
  • Python Programmer
  • BI Developer
  • Data & Analytics Professional
  • Data Consultant

Questions and answers

Currently there are no Q&As for this course. Be the first to ask a question.

Certificates

Uplatz Certificate of Completion

Digital certificate - Included

Course Completion Certificate by Uplatz

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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.