Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Data Science 101: Methodology, Python, and Essential Math
Data Science 101: Methodology, Python, and Essential Math

Data Science 101: Methodology, Python, and Essential Math: A beginner's guide to data science, starting from data science methodology to an introduction to data science in Python, to essential math for data science.

Arrow left icon
Profile Icon Ermin Dedic
Arrow right icon
Free Trial
Full star icon Full star icon Full star icon Full star icon Empty star icon 4 (2 Ratings)
Video Apr 2022 14hrs 49mins 1st Edition
Video
zł39.99 zł221.99
Subscription
Free Trial
Arrow left icon
Profile Icon Ermin Dedic
Arrow right icon
Free Trial
Full star icon Full star icon Full star icon Full star icon Empty star icon 4 (2 Ratings)
Video Apr 2022 14hrs 49mins 1st Edition
Video
zł39.99 zł221.99
Subscription
Free Trial
Video
zł39.99 zł221.99
Subscription
Free Trial

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Key benefits

  • Explain data science methodology, starting with business understanding and ending at deployment
  • Identify the various elements of ML and NLP involved in building a simple chatbot
  • Indicate how to create and work with variables, data structures, looping structures, and more

Description

The opening part of Data Science 101 examines some frequently asked questions. Following that, we will explore data science methodology with a case study. You will see the typical data science steps and techniques utilized by data professionals. Next, you will build a simple chatbot so you can get a clear sense of what is involved. The next part is an introduction to data science in Python. You will have an opportunity to master Python for data science as each section is followed by an assignment to practice your skills. By the end of the section, you will understand Python fundamentals, decision and looping structures, Python functions, how to work with nested data, and list comprehension. Finally, we will wrap up the two most popular libraries for data science—NumPy and Pandas. The last part delves into essential math for data science. You will get the hang of linear algebra along with probability and statistics. Our goal for the linear algebra part is to introduce all necessary concepts and intuition for an in-depth understanding of an often-utilized technique for data fitting called least squares. We will spend a lot of time on probability, both classical and Bayesian, as reasoning about problems is a much more difficult aspect than simply running statistics. By the end of this course, you will understand data science methodology and how to use essential math in your real projects. All resources are available at https://github.com/PacktPublishing/Data-Science-101-Methodology-Python-and-Essential-Math

Who is this book for?

This course is designed for people who are new to data science or who are interested in pursuing a career in data science, as well as those who wish to obtain a broad overview before diving into specialized data science topics. This course will also benefit students who want to master the fundamental arithmetic for data science or obtain an introduction to data science in Python. You need not have any prior experience in data science to take up this course.

What you will learn

  • Examine frequent questions asked by passionate learners
  • Explore data science methodology with a healthcare insurance case study
  • Solve a system of linear equations
  • Define the idea of a vector space
  • Recognize the proper probability model for your use case
  • Compute a least-squares solution through pseudoinverse

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Apr 28, 2022
Length: 14hrs 49mins
Edition : 1st
Language : English
ISBN-13 : 9781803242125
Category :
Languages :
Concepts :

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Apr 28, 2022
Length: 14hrs 49mins
Edition : 1st
Language : English
ISBN-13 : 9781803242125
Category :
Languages :
Concepts :

Packt Subscriptions

See our plans and pricing
Modal Close icon
$19.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
$199.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just zł20 each
Feature tick icon Exclusive print discounts
$279.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just zł20 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total 496.97 678.97 182.00 saved
Practical Discrete Mathematics
zł266.99
Advanced Python Programming
zł189.99
Data Science 101: Methodology, Python, and Essential Math
zł39.99 zł221.99
Total 496.97 678.97 182.00 saved Stars icon
Banner background image

Table of Contents

19 Chapters
Introduction to Data Science 101 Chevron down icon Chevron up icon
Best Language for Data Science Chevron down icon Chevron up icon
Data Science Methodology Chevron down icon Chevron up icon
Data Science Through Chatbot Chevron down icon Chevron up icon
Libraries, APIs, Datasets Chevron down icon Chevron up icon
GitHub Chevron down icon Chevron up icon
Installation / Jupyter / Comments (Windows and MacOS/Jupyter Notebook) Chevron down icon Chevron up icon
Introduction to Data Science in Python - Python Fundamentals Chevron down icon Chevron up icon
Introduction to Data Science in Python - Decision and Looping Structures Chevron down icon Chevron up icon
Introduction to Data Science in Python - Python Functions Chevron down icon Chevron up icon
Introduction to Data Science - Nested Data, Iteration, and List Comprehension Chevron down icon Chevron up icon
Introduction to Data Science in Python - Learn NumPy Chevron down icon Chevron up icon
Introduction to Data Science in Python - Pandas Chevron down icon Chevron up icon
Introduction to Data Science in Python - Python Activity Solutions Chevron down icon Chevron up icon
Essential Math for Data Science - Linear Algebra Made Easy Chevron down icon Chevron up icon
Essential Math for Data Science - Mathematical Structures Chevron down icon Chevron up icon
Essential Math for Data Science - Introduction to Probability Chevron down icon Chevron up icon
Essential Math for Data Science - Random Variables and Multiple Variables Chevron down icon Chevron up icon
Essential Math for Data Science - Statistical Inference Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
(2 Ratings)
5 star 50%
4 star 0%
3 star 50%
2 star 0%
1 star 0%
N/A Jan 30, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Feefo Verified review Feefo
Felix May 08, 2024
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
Sadly, api pushshift does not work anymore. An Update with other API-Alternatives would be appreciated.
Subscriber review Packt
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is included in a Packt subscription? Chevron down icon Chevron up icon

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription? Chevron down icon Chevron up icon

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits? Chevron down icon Chevron up icon

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled? Chevron down icon Chevron up icon

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title? Chevron down icon Chevron up icon

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team. 

Can I download the code files for Early Access titles? Chevron down icon Chevron up icon

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date? Chevron down icon Chevron up icon

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready? Chevron down icon Chevron up icon

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access? Chevron down icon Chevron up icon

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered? Chevron down icon Chevron up icon

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content? Chevron down icon Chevron up icon

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access? Chevron down icon Chevron up icon

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.