Complete Data Wrangling & Data Visualisation With Python (Udemy.com)

Learn to Preprocess, Wrangle and Visualise Data For Practical Data Science Applications in Python

( 136 Reviews )

Created by: Minerva Singh

Produced in 2021

What you will learn

Install and Get Started With the Python Data Science Environment- Jupyter/iPython
Read In Data Into The Jupiter/iPython Environment From Different Sources
Carry Out Basic Data Pre-processing & Wrangling In the Jupyter Environment
Learn to IDENTIFY Which Visualisations Should be Used in ANY given Situation
Go From A Basic Level To Performing Some Of The MOST COMMON Data Preprocessing, Data Wrangling & Data Visualization Tasks In Jupyter
How To Use Some Of The MOST IMPORTANT Data Wrangling & Visualisation Packages Such As Matplotlib
Build POWERFUL Visualisations and Graphs from REAL DATA
Apply Data Visualization Concepts For PRACTICAL Data Analysis & Interpretation
Gain PROFICIENCY In Data Preprocessing, Data Wrangling & Data Visualisation In Jupyter By Putting Your Soon-To-Be-Acquired Knowledge Into IMMEDIATE Application

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 90 / 100

Course Description

Hello, My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).
I have several years of experience in analyzing real life data from different sources using statistical modeling and producing publications for international peer reviewed journals. If you find statistics books & manuals too vague, expensive & not practical, then youre going to love this course!
I created this course to take you by hand and teach you all the concepts, and tackle the most fundamental building block on practical data science- data wrangling and visualisation. GET ACCESS TO A COURSE THAT IS JAM PACKED WITH TONS OF APPLICABLE INFORMATION! This course is your sure-fire way of acquiring the knowledge and statistical data analysis wrangling and visualisation skills that I acquired from the rigorous trainingIreceived at 2 of the best universities in the world, perusal of numerous books and publishing statistically rich papers in renowned international journal like PLOS One.
To be more specific, heres what the course will do for you: (a) It willtake you (even if you have no prior statistical modelling/analysis background) from a basic level to performing some of the most common data wrangling tasks in Python. (b) It will equip you to use some of the most important Python data wrangling and visualisation packages such as seaborn. (c) It willIntroduce some of the most important data visualisation concepts to you in a practical manner such that you can apply these concepts for practical data analysis and interpretation. (d) You will also be able to decide which wrangling and visualisation techniques are best suited to answer your research questions and applicable to your data and interpret the results.
The course will mostly focus on helping you implement different techniques on real-life data such as Olympic and Nobel Prize winnersAfter each video you will learn a new concept or technique which you may apply to your own projects immediately! Reinforce your knowledge through practical quizzes and assignments.
TAKE ACTION NOW :) Youll also have my continuous support when you take this course just to make sure youre successful with it. If my GUARANTEE is not enough for you, you can ask for a refund within 30 days of your purchase in case youre not completely satisfied with the course.
TAKE ACTION TODAY! I will personally support you and ensure your experience with thiscourse is a success.
Who this course is for:
Students Interested In Getting Started With Data Science Applications In The Jupyter EnvironmentStudents Interested in Learning About the Common Pre-processing Data TasksStudents Interested in Gaining Exposure to Common Python Packages Such As pandasThose Interested in Learning About Different Kinds of Data VisualisationsThose Interested in Learning to Create Publication Quality Visualisations

Time: 6h

Instructor Details

Minerva Singh

4.5 Rating
136 Reviews

Hello. I am a PhD graduate from Cambridge University where Ispecializedin Tropical Ecology. I am also a Data Scientist on the side. As a part of my research I have to carry out extensive data analysis, including spatial data analysis.or this purpose I prefer to use a combination of freeware tools- R, QGIS and Python.I do most of my spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing and analysis. I also hold an MPhil degree in Geography and Environment from Oxford University. I have honed my statistical and data analysis skills through a number of MOOCs including The Analytics Edge (R based statistics and machine learning course offered by EdX), Statistical Learning (R based Machine Learning course offered by Standford online). In addition to spatial data analysis, I am also proficient in statistical analysis, machine learning and data mining. I also enjoy general programming, data visualizationand web development. In addition to being a scientist and number cruncher, I am anavid traveler

Reviews

4.5

136 total reviews

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Write a Review

By Mukund Pandey on 10/26/2020

I see as the course moves forward, it has something good to see but still i see examples are less and less hard one actually, because most of the pattern showed in the course, are very basic and self explanatory.

By Nafila Tarannum on 8/20/2020

An excellent course for those who want to boost their abilities about data wrangling and visualization using Python. It tackles diverse and challenging problems, for you to practice and round out every concept. Highly recommended!

By Ama Akar on 8/18/2020

It was a fascinating subject and a good collection of topics, unfortunately, very poor delivery.
- excellent overview to demonstrate what is possible but not a course
- errors that come out during lectures were left unexplained
poor quality of resources, missing source files or incorrect content inside
- most of the times we were showed how to do things without any explanation on why we do it this way

By Yuvraj Alim on 8/15/2020

Found the content very relevant . . note that the curriculum did seem a little rushed since it is a crash course. But overall, found it very useful to build a foundation on.

By Kiba Lovren on 8/12/2020

The explanations are clear and the code is very efficient. I've learnt so much. Highly recommended.

By Chinki Munni on 8/11/2020

Amazing course, to begin with, teaches all essential basics of data visualization with python required to grasp the essence of programming and above all it teaches some real application which is amazing.

By Raj Sharma on 8/8/2020

Very nice instructor, I always enjoyed the videos and it was a lot of fun! Every lectures were easy and a great opportunity to learn! Will definitely recommend this course :) Thank you

By Lalita Gupta on 8/8/2020

This course is one of the most structured course for anyone who is willing to learn. This is must for all who wants to learn at a fast yet do not want miss important topics.

By Robina Tendon on 7/23/2020

It was such a nice journey. Very informative and thorough. You got to give it time and take baby steps . Just know your pace and capacity to absorb things. It will definitely help you out in future because a skill learned, never goes waste. :)

By Anonymized User on 7/20/2020

The data used to explain the concepts is quite extensive which has made it easy and interesting to understand the concepts. Suits to my requirement.

By Ramesh Jadhav on 7/19/2020

I find that the course is eminently suited for my requirements.

By Kripki Sheldon on 7/19/2020

Quite a good light-weighted course on data wrangling and data visualization. It was quite helpful for people like me who are seeking ways to implement the concepts.