Leveraging Online Resources for Python Analytics

Focused View

Janani Ravi

2:11:43

14 View

01 - Course Overview

01 - Course Overview.mp4

01:50

02 - Getting Started with Python Analytics

02 - Module Overview.mp4

01:16

03 - Prerequisites and Course Outline.mp4

01:19

04 - Demo- Prototyping a Classifier.mp4

02:53

05 - Demo- Writing a Python Script for a Classification Model.mp4

07:45

06 - Module Summary.mp4

01:19

07 - Python for Data Analysts.mp4

06:33

08 - Python Resources for Analysts.mp4

05:06

09 - Demo- Exploring Online Resources.mp4

06:22

10 - Workflows in Data Analytics.mp4

05:05

11 - Demo- Cleaning Data.mp4

05:31

12 - Demo- Summary Statistics and Basic Analysis.mp4

02:30

13 - Demo- Visualizing Relationships in Data.mp4

04:21

14 - Demo- Sharing Visualizations Online Using Plotly.mp4

04:35

03 - Leveraging Online Resources for Python Analytics with BigML

15 - Module Overview.mp4

01:20

16 - Introducing Big ML.mp4

02:50

17 - Demo- Anomaly Detection.mp4

02:53

18 - Module Summary.mp4

01:22

19 - Demo- Getting Started with Big ML.mp4

01:27

20 - Demo- Configuring Data Sources and Creating Datasets.mp4

07:35

21 - Demo- Data Preparation and Visualization.mp4

06:15

22 - Demo- Splitting into Training and Test Subsets.mp4

01:46

23 - Demo- Building Models.mp4

05:20

24 - Demo- Evaluating Models.mp4

01:49

25 - Demo- Batch and Individual Predictions.mp4

05:11

26 - Demo- Clustering.mp4

05:07

04 - Working with Interactive Environment Using Google Colab

27 - Module Overview.mp4

01:23

28 - Introducing Google Colab.mp4

01:52

29 - Demo- Introducing the Google Colab Interface.mp4

03:29

30 - Demo- Colab NotebooksSimilar yet Different.mp4

02:20

31 - Demo- Interactive Forms.mp4

06:01

32 - Demo- Accessing Google Drive Contents from Colab.mp4

02:23

33 - Demo- Widgets.mp4

05:28

34 - Demo- Building a Regression Model.mp4

05:38

35 - Demo- Integrating with Github.mp4

02:11

36 - Summary and Further Study.mp4

01:38

Description

This course introduces important resources for data science, including visualization libraries, deep learning frameworks, and cloud-based environments. It also explores BigML and Google Colab—powerful resources for building and sharing analytics.

What You'll Learn?

As data science and data analytics become ever more popular and more specialized, the number and variety of tools and technologies out there can often seem overwhelming.

In this course, Leveraging Online Resources for Python Analytics, you will gain the ability to find resources that can help you to correctly frame and solve your problem. First, you will survey some of the important visualization libraries, machine learning and deep learning frameworks, and cloud-based solutions out there.

Next, you will discover the benefits of using a tool like BigML, which is a platform for building ML models that abstracts away much of the underlying complexity. Democratization of ML is an important trend today, and technologies like BigML are at the forefront of that trend. You will see, for instance, how BigML seamlessly integrates visualizations known as partial dependency plots, which combine the results of large numbers of ML predictions into an easily understandable form so that you can understand exactly what your ML model is doing.

Finally, you will round out your knowledge by working with Google Colab, a free web-based way to build models. The models are hosted in Jupyter notebooks that reside on Google Drive and run on virtual machines in the cloud.

When you’re finished with this course, you will have the skills and knowledge to quickly and efficiently identify valuable online resources and libraries that will help you on your journey as a data science practitioner.

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Python

Data Science

Janani Ravi

Instructor's Courses

Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework. After spending years working in tech in the Bay Area, New York, and Singapore at companies such as Microsoft, Google, and Flipkart, Janani finally decided to combine her love for technology with her passion for teaching. She is now the co-founder of Loonycorn, a content studio focused on providing high-quality content for technical skill development. Loonycorn is working on developing an engine (patent filed) to automate animations for presentations and educational content.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.