Data Analytics for Beginners with Google Colaboratory (Udemy.com)

Explore, prepare, clean & visualize your data with Google Colaboratory. Build Jupyter notebooks into Google Drive!

( 3 Reviews )

Created by: Packt Publishing

Produced in 2018

What you will learn

Create, run and style your own Jupyter Notebook online
Load common file types or query databases with SQLite
Grouping and reorganizing useful Data
Exploring 1D and 2D data structures with Numpy and Pandas
Calculate descriptive stats such as mean, median, mode
Clean and transform missing or dirty data
Plot stunning visuals with bar charts, scatter plots, and pie charts with Matplotlib
Share your rich-interactive notebooks findings to get immediate feedback
Present and summarize visually compelling stories key individuals

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 100 / 100

Course Description

Google Colaboratory is an online platform to perform data analysis. It enables you to create interactive Jupyter notebooks that mix text with Python code to run queries and display data analysis results. Stored on Google Drive you'll be able to run notebooks and collaborate with peers through Google's cloud services.
In this course, you will learn to solve problems and obtain key results with data. You will begin by building your own Jupyter notebook before you explore and learn the basics of Google Colaboratory. Then you will explore several file formats to store data and use SQLite to query large datasets. Next, you will learn to initialize 1D and 2D data structures with the Numpy and Pandas libraries to help organize and summarize metrics such as the mean, median, and standard deviation of your data.
Moving further, you will learn to identify outliers in your data, eliminate dirty data and perform common data transformations. Finally, you will use qualitative and quantitative data types with Matplotlib to display effective charts and visuals. By the end of this course, you'll have the tools to perform data analysis to tell your own compelling stories with data.
About the Author
Tairi R. Delgado is a bay area native with a background in computer engineering. He has worked with companies such as Apple, helping automate their localization help documentation and Udacity - where he taught data science and co-developed their machine learning program. With his passion for sharing his expertise, he has been teaching Data Science and Machine learning for over 5 years.Who this course is for:

Knowledge workers who have elementary understanding of Python programming and would like to extract, find & summarize data with visually compelling stories this course is for you.

Time: 5h

Instructor Details

Packt Publishing

5.0 Rating
3 Reviews

Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.
With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now.
From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.

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Reviews

5.0

3 total reviews

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Write a Review

By Mizuo Kudo

For a layperson like me, great way to start learning python and both jupyter and colabs are easy to set up. Can't wait to go through he rest of the course. Thanks!

By AnthonyL

Now I've just started this course, S1,L1. I've put off learning jupyter notebooks. It was suggested to me to try Colab. This so far appears to be ALOT less convoluted, than Jup notebooks. Colabs appeal while traversing through self study is SO MUCH "more" out of the box. This course is for those like me!!

By Sachin Bhartiya