LiveLessons - Data Science Fundamentals Part 1 Learning Basic Concepts, Data Wrangling, and Database...

Category: Tutorial


Posted on 2017-06-23, by everest555.

Description



LiveLessons - Data Science Fundamentals Part 1: Learning Basic Concepts, Data Wrangling, and Databases with Python
English | Size: 2.03 GB
Category: CBTs




The Rough Cuts/Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.

Data Science Fundamentals LiveLessons teaches you the foundational concepts, theory, and techniques you need to know to become an effective data scientist. The videos present you with applied, example-driven lessons in Python and its associated ecosystem of libraries, where you get your hands dirty with real datasets and see real results.



If nothing else, by the end of this video course you will have analyzed a number of datasets from the wild, built a handful of applications, and applied machine learning algorithms in meaningful ways to get real results. And all along the way you learn the best practices and computational techniques used by a professional data scientist. More specifically, you learn how to acquire data that is openly accessible on the Internet by working with APIs. You learn how to parse XML and JSON data to load it into a relational database. You get hands-on experience with the PyData ecosystem by manipulating and modeling data. You explore and transform data with the pandas library, perform statistical analysis with scipy and numpy, build regression models with statsmodels, and train machine learning algorithms with scikit-learn. All throughout the course you learn to test your assumptions and models by engaging in rigorous validation. Finally, you learn how to share your results through effective data visualization.
Table of Contents

Introduction
Data Science Fundamentals Part 1: Introduction 00:07:00
Lesson 1: Introduction to Data Science with Python
Topics 00:01:37
1.1 Welcome to the Course 00:03:14
1.2 Why Data Science and Why Now? 00:07:48
1.3 The Potential of Data Science 00:24:21
1.4 Getting Set Up with a Data Science Development Environment 00:07:41
1.5 A Python (3) Primer 00:22:33
1.6 Python for Data Science 00:14:59
1.7 What's to Come 00:10:10
Lesson 2: The Data Science Process-Building Your First Application
Topics 00:01:17
2.1 Introduction to the Data Science Process 00:07:17
2.2 Defining Your Problem 00:06:46
2.3 Acquiring Data 00:21:03
2.4 Wrangling Data 00:28:05
2.5 Exploring Data 00:28:48
2.6 The Simplest Recommender-Triangle Closing 00:21:29
2.7 Triadic Closure in Python, Part 1 00:25:24
2.7 Triadic Closure in Python, Part 2 00:27:36
2.8 Evaluate Results, Part 1 00:11:05
2.8 Evaluate Results, Part 2 00:18:37
2.8 Evaluate Results, Part 3 00:18:30
2.9 Present and Disseminate 00:16:32
2.10 The Data Science Process Applied: Cheaper Beds, Better Breakfasts 00:06:27
Lesson 3: Acquiring Data-Sources and Methods
Topics 00:01:41
3.1 The Data Science Mindset, Part 1 00:14:56
3.1 The Data Science Mindset, Part 2 00:15:34
3.2 Where to Get Data-Sources and Services 00:16:46
3.3 How the Web Works, Part 1 00:19:54
3.3 How the Web Works, Part 2 00:14:32
3.4 Downloading and Parsing Data with Python, Part 1 00:09:25
3.4 Downloading and Parsing Data with Python, Part 2 00:28:12
3.4 Downloading and Parsing Data with Python, Part 3 00:15:25
3.5 Working with APIs, Part 1 00:13:44
3.5 Working with APIs, Part 2 00:10:43
3.5 Working with APIs, Part 3 00:28:16
3.6 Data Blending-Downloading Venues from Foursquare, Part 1 00:13:58
3.6 Data Blending-Downloading Venues from Foursquare, Part 2 00:22:24
Lesson 4: Adding Structure-Parsing Data and Data Models
Topics 00:01:13
4.1 Ideas and Implementations 00:11:59
4.2 Data Models-Adding Structure to Data 00:23:56
4.3 Building Abstractions-Object-Oriented Programming, Part 1 00:11:47
4.3 Building Abstractions-Object-Oriented Programming, Part 2 00:19:46
4.4 A Brief Pythonic Diversion-Classes, Part 1 00:21:30
4.4 A Brief Pythonic Diversion-Classes, Part 2 00:14:29
4.4 A Brief Pythonic Diversion-Classes, Part 3 00:11:00
4.5 The Case for (and against) OOP, Part 1 00:23:37
4.5 The Case for (and against) OOP, Part 2 00:22:01
4.5 The Case for (and against) OOP, Part 3 00:15:15
4.5 The Case for (and against) OOP, Part 4 00:14:25
4.5 The Case for (and against) OOP, Part 5 00:29:01
4.5 The Case for (and against) OOP, Part 6 00:20:45
4.5 The Case for (and against) OOP, Part 7 00:13:04
Lesson 5: Storing Data-Persistence with Relational Databases
Topics 00:01:20
5.1 Data Models Applied-Relational Databases with SQLite, Part 1 00:26:56
5.1 Data Models Applied-Relational Databases with SQLite, Part 2 00:25:58
5.2 What's in a Schema-Mapping Data Models to Data Tables 00:23:10
5.3 Querying Data(bases)-Thinking Relationally, Part 1 00:06:36
5.4 Querying Data(bases)-Thinking Relationally, Part 2 00:19:43
5.5 Querying Data(bases)-Thinking Relationally, Part 3 00:25:31
5.6 Querying Data(bases)-Thinking Relationally, Part 4 00:09:18
5.7 ORMs versus SQL 00:04:52
5.8 Extract, Transform, Load-Putting It All Together 00:10:11
Lesson 6: Validating Data-Provenance and Quality Control
Topics 00:01:21
6.1 A Brief Historical Diversion 00:10:42
6.2 Defensive Data Analysis-Quality Checks 00:06:50
6.3 Getting to Know Your Data 00:17:27
6.4 Data Quality Checks with peewee, Part 1 00:20:15
6.4 Data Quality Checks with peewee, Part 2 00:18:25
6.4 Data Quality Checks with peewee, Part 3 00:12:13
6.5 Dealing with Missing Data 00:10:44
6.6 EDA for Insight: Describing Data, Part 1 00:04:39
6.6 EDA for Insight: Describing Data, Part 2 00:18:05
6.6 EDA for Insight: Describing Data, Part 3 00:14:24
6.6 EDA for Insight: Describing Data, Part 4 00:20:17
6.7 Querying Across Datasets with Joins 00:08:25
6.8 Joins with peewee, Part 1 00:27:42
6.8 Joins with peewee, Part 2 00:26:49
6.9 Translating peewee to SQL 00:06:58
6.10 A Visual Introduction to Joins with SQL 00:14:49
Summary
Data Science Fundamentals Part 1: Summary 00:03:21


uploadgig_com:
http://uploadgig.com/file/download/aa42b6Fa21001c2C/mcxy6.LiveLessons..Data.Science.Fundamentals.Part.1.Learning.Basic.Concepts.Data.Wrangling.and.Databases.with.Python.part1.rar
http://uploadgig.com/file/download/1d03ec03cf7774ff/mcxy6.LiveLessons..Data.Science.Fundamentals.Part.1.Learning.Basic.Concepts.Data.Wrangling.and.Databases.with.Python.part2.rar
http://uploadgig.com/file/download/4e61edba449cAFaf/mcxy6.LiveLessons..Data.Science.Fundamentals.Part.1.Learning.Basic.Concepts.Data.Wrangling.and.Databases.with.Python.part3.rar
http://uploadgig.com/file/download/c421aa4733A56d48/mcxy6.LiveLessons..Data.Science.Fundamentals.Part.1.Learning.Basic.Concepts.Data.Wrangling.and.Databases.with.Python.part4.rar

nitroflare_com:
http://nitroflare.com/view/42BD3BD758B7333/mcxy6.LiveLessons..Data.Science.Fundamentals.Part.1.Learning.Basic.Concepts.Data.Wrangling.and.Databases.with.Python.part1.rar
http://nitroflare.com/view/35B62D61DE03ACF/mcxy6.LiveLessons..Data.Science.Fundamentals.Part.1.Learning.Basic.Concepts.Data.Wrangling.and.Databases.with.Python.part2.rar
http://nitroflare.com/view/71ADB25DB18D309/mcxy6.LiveLessons..Data.Science.Fundamentals.Part.1.Learning.Basic.Concepts.Data.Wrangling.and.Databases.with.Python.part3.rar
http://nitroflare.com/view/8A998FA65CD275A/mcxy6.LiveLessons..Data.Science.Fundamentals.Part.1.Learning.Basic.Concepts.Data.Wrangling.and.Databases.with.Python.part4.rar

Sponsored High Speed Downloads
8366 dl's @ 3637 KB/s
Download Now [Full Version]
5022 dl's @ 3832 KB/s
Download Link 1 - Fast Download
8484 dl's @ 3037 KB/s
Download Mirror - Direct Download



Search More...
LiveLessons - Data Science Fundamentals Part 1 Learning Basic Concepts, Data Wrangling, and Database...

Search free ebooks in ebookee.com!


Links
Download this book

No active download links here?
Please check the description for download links if any or do a search to find alternative books.


Related Books

  1. Ebooks list page : 31677
  2. 2017-07-26Livelessons Data Science Fundamentals Part 1 Learning Basic Concepts, Data Wrangling, And Databas...
  3. 2017-09-17Data Science Fundamentals Part 1 Learning Basic Concepts, Data Wrangling, and Databases with Python
  4. 2017-05-14Data Science Fundamentals Part 1 Learning Basic Concepts, Data Wrangling, And Databases With Python
  5. 2017-04-14Data Science Fundamentals Part 1 Learning Basic Concepts, Data Wrangling, and Databases with Python
  6. 2017-11-19[PDF] Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications (Chapman & Hall/CRC Computer and Information Science Series)
  7. 2010-07-07Hwa Rang Do ~ Fundamentals of Training 1 -Basic Concepts
  8. 2010-07-07Hwa Rang Do ~ Fundamentals of Training 1 -Basic Concepts
  9. 2018-08-10Food Safety Basic Concepts, Recent Issues, and Future Challenges
  10. 2018-01-03[PDF] Basic Concepts for Simple and Complex Liquids
  11. 2017-12-18[PDF] Buckling Experiments: Experimental Methods in Buckling of Thin-Walled Structures, Volume 1: Basic Concepts, Columns, Beams and Plates
  12. 2017-12-08[PDF] Food Safety: Basic Concepts, Recent Issues, and Future Challenges
  13. 2017-11-19[PDF] Guide to DataFlow Supercomputing: Basic Concepts, Case Studies, and a Detailed Example (Computer Communications and Networks)
  14. 2017-10-29[Share-2017] Basic Concepts in Statistics and Epidemiology - T. macDonald (Radcliffe, 2007)
  15. 2017-10-18[PDF] Cassandra: Data Warehousing, Data Modelling and Database Administration (Big Data and NoSQL Book 1)
  16. 2017-10-15[PDF] Basic Concepts for Simple and Complex Liquids (Cambridge University Press)
  17. 2017-10-10[PDF] Guide to Computing Fundamentals in Cyber-Physical Systems: Concepts, Design Methods, and Applications (Computer Communications and Networks)
  18. 2017-10-08[PDF] Basic Concepts of Probability and Statistics (Classics in Applied Mathematics)
  19. 2017-03-2001054-[Upload 2017]-Basic Concepts in Statistics and Epidemiology - T. macDonald (Radcliffe, 2007)
  20. 2016-11-21Data Wrangling and Analysis with Python Training Video

Comments

No comments for "LiveLessons - Data Science Fundamentals Part 1 Learning Basic Concepts, Data Wrangling, and Database...".


    Add Your Comments
    1. Download links and password may be in the description section, read description carefully!
    2. Do a search to find mirrors if no download links or dead links.

    required

    required, will not be published

    need login

    required

    Not clear? Click here to refresh.

    Back to Top
    1984 Essay | Sing meinen Song - Das Tauschkonzert (13) | 1x04 Playing for Keeps