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The 2022 Ultimate Big Data Certification Bundle

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10
Lessons
191
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Content
1.0 hours
Lessons
22

Intro to Coding with Python Turtle

Learn Coding & Algorithm Basics with Python Turtle

By ZENVA | in Online Courses

Learn the basics of coding with Python! All software – including games, apps, websites, and more – is essentially designed to follow instructions. We refer to these instructions as coding and the order and rules that they follow as algorithms. This course will explore these important concepts through Python Turtle. The Turtle library allows you to issue commands to a “turtle” and have the turtle follow them as if it were a pen drawing on paper. You can use it to draw various shapes, fill them in, change their colors, and more – all through easy-to-use programming commands. You’ll also learn how to structure these commands as an algorithm to create a digital picture of a solar system.

4.4/5 average rating: ★ ★ ★ ★

  • Access 22 lectures & 1 hour of content 24/7
  • Understand what programming is
  • Move the turtle to draw shapes
  • Change shape & background colors
  • Control shape fill & spacing
  • Define & design algorithms
  • Implement algorithms with programming
Zenva Academy
4.4/5 Instructor Rating: ★ ★ ★ ★

Trusted by over 1 million learners and developers, Zenva provides world-class training on in-demand programming skills covering game development, machine learning, virtual reality, and full-stack web development. The e-learning platform Zenva Academy is the leading place to upskill, learn and gain key tech skills for the innovation economy.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: beginner
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Any device with basic specifications

Course Outline

  • Your First Program

  • Introduction

    • Introduction - 1:40
    • Source Files
    • Additional Resources
  • Programming, Python, and Setup

    • What is Programming? - 1:09
    • What is Python? - 0:46
    • What is Python Turtle - 1:01
    • Replit - 4:14
  • Python Turtle Basics

    • Moving Our Turtle - 4:13
    • Turning Our Turtle - 3:02
    • Challenge! Create a Square - 2:51
    • Drawing Circles - 2:22
    • Changing Color - 4:56
    • Filling in Shapes - 3:22
    • Background Color - 1:30
    • Lifting the Pen - 4:04
  • Solar System Project

    • Solar System Project - Definition - 1:47
    • Solar System Project - Design - Part 1 - 3:04
    • Solar System Project - Design - Part 2 - 3:14
    • Solar System Project - Implementation - Part 1 - 4:58
    • Solar System Project - Implementation - Part 2 - 4:32
    • Solar System Project - Evaluation - 1:47
  • Conclusion

    • Conclusion - 1:16

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Lessons
14

Data Analysis with Pandas

From Cleaning to Visualizing Data, to Basic Statistics & Machine Learning Techniques

By ZENVA | in Online Courses

This course will introduce you to everything that you need to know to get started with data analysis using the Pandas library. To better enhance your understanding, you will not only learn the concepts underlying data analysis but apply them to real-world data – logs of domestic US flights from 2017.

4.0/5 average rating: ★ ★ ★ ★

  • Access 14 lectures & 1 hour of content 24/7
  • Clean data (from dealing with missing/null values, to handling appropriate data types for columns)
  • Visualize data using basic line plots & histograms
  • Understand basic statistics (including mean & standard deviations, and inferential statistics)
  • Implement basic machine learning techniques (using linear regression to learn a line of best fit)
Zenva Academy
4.4/5 Instructor Rating: ★ ★ ★ ★

Trusted by over 1 million learners and developers, Zenva provides world-class training on in-demand programming skills covering game development, machine learning, virtual reality, and full-stack web development. The e-learning platform Zenva Academy is the leading place to upskill, learn and gain key tech skills for the innovation economy.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Any device with basic specifications

Course Outline

  • Introduction
    • Introduction - 2:44
    • Source Files
    • Additional Resources
  • Analyzing Data with Pandas
    • Data Cleaning - Part 1 - 10:33
    • Data Cleaning - Part 2 - 10:45
    • Plotting - 9:22
    • Joining Data - 7:11
    • Intro to Statistics - 8:38
    • Mean and Standard Deviation - 9:53
    • Basic Statistics - 9:47
    • Linear Regression - 9:48
    • Correlation Coefficient - 8:06
    • Linear Regression - 11:42
  • Conclusion
    • Conclusion - 1:22

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2.0 hours
Lessons
22

Build a Smart Security Camera for Raspberry Pi

Detect Intruders & Send Alert Messages with Your Own Smart Security Camera Built Using Python

By ZENVA | in Online Courses

This course will guide you through creating a fully-functional and smart security camera, using a Raspberry Pi or the webcam on your device. The purpose of the application in this course is to detect movement in the video footage and subsequently execute an action, such as sending out an email or an SMS.

Sections covering both the theory and practical applications are included in this course. The theory videos demonstrate the building blocks so that you can understand how it all works. Topics taught in this course include summation notation, image similarity metrics, and video processing. Image similarity is a set of tools that you can use to compare images, which then helps you determine how similar they are.

4.6/5 average rating: ★ ★ ★ ★

  • Access 22 lectures & 2 hours of content 24/7
  • Create a fully-functional smart security camera using Raspberry Pi or a webcam
  • Learn about summation notation
  • Explore image similarity metrics like sum squared errors, mean squared errors, & structural similarity
  • Understand how to perform video processing with Python
Zenva Academy
4.4/5 Instructor Rating: ★ ★ ★ ★

Trusted by over 1 million learners and developers, Zenva provides world-class training on in-demand programming skills covering game development, machine learning, virtual reality, and full-stack web development. The e-learning platform Zenva Academy is the leading place to upskill, learn and gain key tech skills for the innovation economy.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: beginner
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Any device with basic specifications

Course Outline

  • Introduction
    • Introduction - 3:02
    • Source Files
    • Additional Resources
    • Anaconda Development Environment - 8:35
  • Theoretical Basics
    • Summation Notation - 18:39
    • Numpy Matrix Elements Sum - 5:45
    • L1 Norm - 10:11
    • Numpy L1 Norm - 6:35
    • Sum of Squared Errors - 7:58
    • Numpy Sum of Squared Errors - 4:40
    • Mean Squared Error - 10:20
    • Numpy Mean Squared Errors - 3:00
    • Structural Similarity - 9:49
  • Building a Smart Security Camera
    • Raspberry Pi - 5:19
    • Setting up our Environment - 5:12
    • Reading a Video Frame - 7:01
    • Reading the Entire Video - 7:55
    • Detecting an Intruder - 9:13
    • Improving Efficiency - 6:14
    • Twilio - 5:50
    • Sending a Text Message - 5:12
  • Conclusion
    • Conclusion - 1:34

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1.0 hours
Lessons
14

Numpy Matrices & Vectors

Take Advantage of the Numpy Library & Build Powerful + Functional Arrays and Matrices

By ZENVA | in Online Courses

Numpy is a library used in python, containing data structures and functions that allow for the usage of powerful and functional arrays and matrices. With the ability to build arrays that are considerably faster than the regular lists in Python, and to make more efficient mathematical computations, Numpy’s applications range from data science to machine learning, game development, and more. This course is your starting point with this tool.

  • Access 14 lectures & 1 hour of content 24/7
  • Learn how to download & install Anaconda and Jupyter
  • Familiarize yourself with creating Numpy arrays, fetch operations, and modification operations
  • Explore creating Numpy matrices, fetch operations & modification operations
  • Validate your training w/ a certificate of completion
Zenva Academy
4.4/5 Instructor Rating: ★ ★ ★ ★

Trusted by over 1 million learners and developers, Zenva provides world-class training on in-demand programming skills covering game development, machine learning, virtual reality, and full-stack web development. The e-learning platform Zenva Academy is the leading place to upskill, learn and gain key tech skills for the innovation economy.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: beginner
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Any device with basic specifications

Course Outline

  • Introduction and Installation
    • Introduction to the Course - 3:21
    • Source Code
    • Additional Resources
    • Installing Anaconda and Jupyter for Mac - 5:59
    • Installing Anaconda and Jupyter for Windows - 5:43
  • Project
    • Creating Numpy Arrays - 12:04
    • Array Fetch Operations - 11:04
    • Array Modification Operations - 11:12
    • Array Example with Student Grades - 12:04
    • Creating Numpy Matrices - 7:17
    • Matrix Fetch Operations - 7:23
    • Matrix Modification Operations - 8:49
    • Matrix Example with Images - 9:03
  • Conclusion
    • Summary and Outro - 2:50

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Content
3.0 hours
Lessons
25

Learn Python 3 by Making a Game

Make A Game, Learn Python. Two Birds, One Stone!

By ZENVA | in Online Courses

Python is a language that is currently in extremely high-demand, and you can learn it the fun way through this course! With no prior programming experience necessary, this course will demonstrate core concepts you need to program in Python by building your own game, getting you up and running with Python in a way that's both engaging and fun.

  • Access 25 lectures & 3 hours of content 24/7
  • Create a game similar to Crossy Road or Frogger
  • Use the Pygame library to put together your first Python game
  • Become familiar with concepts like variables, functions, conditional statements, & loops
Zenva Academy
4.4/5 Instructor Rating: ★ ★ ★ ★

Trusted by over 1 million learners and developers, Zenva provides world-class training on in-demand programming skills covering game development, machine learning, virtual reality, and full-stack web development. The e-learning platform Zenva Academy is the leading place to upskill, learn and gain key tech skills for the innovation economy.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: beginner
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Any device with basic specifications

Course Outline

  • Introduction and Installation
    • Introduction - 2:32
    • Source Files
    • Additional Resources
    • Installing Python and Pygame for Mac - 4:54
    • Installing Python and Pygame for PC - 4:33
    • Intro to Idle - 7:12
  • Introduction to Python
    • Variables Intro - 6:22
    • Variable Operations - 7:26
    • Tuples, Lists, Dictionaries - 13:17
    • If Statements - 9:24
    • While and For in Loops - 10:51
    • Functions - 11:31
    • Classes and Objects Intro - 14:30
    • Subclasses and Inheritance - 13:40
  • Build a Road-Crossing Game in Pygame
    • Setting up the Display - 7:09
    • Building a Basic Game Loop - 10:45
    • Displaying Shapes and Images - 11:37
    • Making Code Object Oriented - 10:34
    • Creating Game Object Class - 8:32
    • Implementing Player Class and Basic Movement - 16:43
    • Implementing Enemy Class and Bounds Checking - 12:36
    • Implement Collision Detection - 15:10
    • Implementing Win and Lose Conditions - 11:26
    • Increasing Game Difficulty - 7:26
    • Project Summary - 5:13

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Lifetime
Content
3.0 hours
Lessons
23

Image Processing with Python: Build an Instagram-Style Filter

Develop a Photo Filter Editor from Scratch & Master Your Understanding of Brightness, Contrast and More!

By ZENVA | in Online Courses

In this course, you will be building a photo filter editor that allows you to create filters such as those used on Instagram and Snapchat. This app allows you to load a photo, edit its contrast, brightness, and gray scale. You can also create and apply custom filters using this tool. Theory sections are included, where concepts such as matrices, color models, brightness, contrast, and convolution are explained in detail from a mathematical perspective. Also, practical sections include the installation of the Anaconda development environment, matrix operations, and OpenCV. The photo editor is built from scratch using OpenCV UI.

4.6/5 average rating: ★ ★ ★ ★

  • Access 23 lectures & 3 hours of content 24/7
  • Build a photo filter editor that allows you to create filters such as those used in Instagram & Snapchat
  • Create & apply custom filters using the photo fiter editing app
  • Learn about matrices, color models, brightness, contrast & convolution
  • Know more about Anaconda development environment, matrix operations & OpenCV
Zenva Academy
4.4/5 Instructor Rating: ★ ★ ★ ★

Trusted by over 1 million learners and developers, Zenva provides world-class training on in-demand programming skills covering game development, machine learning, virtual reality, and full-stack web development. The e-learning platform Zenva Academy is the leading place to upskill, learn and gain key tech skills for the innovation economy.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: beginner
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Any device with basic specifications

Course Outline

  • Introduction
    • Introduction - 2:44
    • Source Files
    • Additional Resources
    • Anaconda Development Environment - 8:35
  • Project
    • Images - 7:45
    • Matrices - 9:10
    • Overview - 3:04
    • Creating the UI - Part 1 - 20:12
    • Creating the UI - Part 2 - 5:57
    • Matrix Addition and Subtraction - 6:54
    • Constraints on Matrix Addition and Subtraction - 3:22
    • Scalar Multiplication - 7:23
    • Color Models - 12:03
    • Grayscale - 9:47
    • Brightness and Contrast - 14:09
    • Brightness and Contrast Filters - 6:57
    • Kernels - 8:24
    • Intro to Convolution - 9:21
    • Convolution Filters - 19:21
    • Save Functionality - 6:13
  • Conclusion
    • Conclusion - 1:26
    • Convolution Example (Optional) - 9:18
    • Convolution Detailed Example (Optional) - 8:34

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Content
2.0 hours
Lessons
24

The Complete Python Data Visualization Course

Master the Major Plotting Libraries & Use Them to Create Beautiful Plots

By ZENVA | in Online Courses

Python is an especially valuable tool for visualizing data, and this course will cover a variety of techniques that will allow you to visualize data using popular plotting libraries like Matplotlib, Seaborn, and Bokeh. Beginning with an intro to statistics, you'll extend into a variety of plots that will cover most use-cases.

  • Access 23 lectures & 2 hours of content 24/7
  • Explore bar charts, line plots, & scatter plots
  • Take a deep dive into Matplotlib, Seaborn, & Bokeh
  • Discover subplots & how they're used
Zenva Academy
4.4/5 Instructor Rating: ★ ★ ★ ★

Trusted by over 1 million learners and developers, Zenva provides world-class training on in-demand programming skills covering game development, machine learning, virtual reality, and full-stack web development. The e-learning platform Zenva Academy is the leading place to upskill, learn and gain key tech skills for the innovation economy.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Any device with basic specifications

Course Outline

  • Introduction
    • Introduction - 2:38
    • Source Code Files
    • Additional Resources
  • Project
    • Column Chart - 14:04
    • Chart Annotations - 6:53
    • Bar Charts - 9:45
    • Pie Charts - 9:53
    • Line Charts - 8:37
    • Multiline Charts - 7:17
    • Scatter Plots - 11:07
    • Multiple Plots in One Figure - 13:06
    • Seaborn Column and Bar Charts - 11:45
    • Seaborn Line Plots - 6:24
    • Seaborn Scatter Plots and Multiple Plots - 9:34
    • Seaborn Joint Plots - 9:08
    • Bokeh Column Chart - 9:44
    • Bokeh Bar Chart - 6:20
    • Bokeh Hover-over Tooltips - 5:37
    • Bokeh Multiline Plots - 6:35
    • Bokeh Interactive Legends - 2:26
    • Bokeh Scatter Plots - 8:28
    • Bokeh Multiple Plots - 9:41
    • Bokeh Linked Panning - 3:55
  • Conclusion
    • Conclusion - 1:43

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1.0 hours
Lessons
12

Reading Data from APIs with Python

Use Python to Retrieve & Parse Data Through the Powerful Tools Provided by APIs

By ZENVA | in Online Courses

Master Python skills for gathering and cleaning data from APIs! APIs (Application Programming Interfaces) are pre-built functions and rules that determine how two computers or programs communicate with each other. While this is commonly used to transfer data between them, data from the real world is rarely presented in a way that is perfect for analysis. As such, knowing how to properly extract and clean data is an integral skill for all data scientists.

This course will walk you through how to use Python to retrieve and parse data through the powerful tools provided by APIs. You’ll learn techniques for multiple different file types, and explore how you can manipulate your parsed data to suit your specific needs. No matter your goals, understanding this aspect of data retrieval will give you a better grasp of how data is often transferred and let you navigate the world more informed.

  • Access 12 lectures & 1 hour of content 24/7
  • Understand what APIs are
  • Make URL requests to retrieve data
  • Format and parse JSON data
  • Work with XML data using BeautifulSoup
  • Write data to a CSV file
  • Read data from a local file
Zenva Academy
4.4/5 Instructor Rating: ★ ★ ★ ★

Trusted by over 1 million learners and developers, Zenva provides world-class training on in-demand programming skills covering game development, machine learning, virtual reality, and full-stack web development. The e-learning platform Zenva Academy is the leading place to upskill, learn and gain key tech skills for the innovation economy.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: beginner
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Any device with basic specifications

Course Outline

  • Introduction
    • Introduction to Reading from APIs - 2:15
    • Source Files
    • Additional Resources
  • Project
    • APIs, JSON, XML - 11:02
    • Fetching JSON Data - 13:25
    • Parsing JSON Data - 10:59
    • Writing JSON Data to CSV - 7:48
    • Fetching XML Data - 6:36
    • Parsing XML Data - 18:33
    • Writing XML Data to CSV - 5:22
    • Reading XML and JSON from Local File - 5:49
  • Conclusion
    • Summary of Reading from APIs - 3:01

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Lessons
18

Python Foundations

Learn the Foundations of Python for Data Science & Machine Learning

By ZENVA | in Online Courses

Python is a high-level, general-purpose language with an emphasis on readability and extensibility. Its versatility provides developers with a robust skill-set that can be adapted to numerous projects, making it a highly desirable language to pursue regardless of where you wind up. Whether your goals are to create simple applications to swap faces, automate meticulous tasks, or develop advanced algorithms to visualize and manage data, this course will provide you with the foundations needed to get started with the language so you can start building your own projects.

4.9/5 average rating: ★ ★ ★ ★

  • Access 18 lectures & 1 hour of content 24/7
  • Set up a Python project
  • Utilize variables & operators
  • Manage data with lists, tuples, ranges, & dictionaries
  • Control program flow with conditionals & loops
  • Use functions for program execution
  • Create objects & classes for object-oriented programming
Zenva Academy
4.4/5 Instructor Rating: ★ ★ ★ ★

Trusted by over 1 million learners and developers, Zenva provides world-class training on in-demand programming skills covering game development, machine learning, virtual reality, and full-stack web development. The e-learning platform Zenva Academy is the leading place to upskill, learn and gain key tech skills for the innovation economy.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: beginner
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Any device with basic specifications

Course Outline

  • Introduction
    • Introduction - 2:32
    • Source Files
    • Additional Resources
    • Installing VSC - 5:08
    • Intro to Python - 3:18
    • Installing VSC Add ons - 3:05
  • Python Fundamentals
    • Writing and Running Python Code - 5:16
    • Variables - 5:00
    • Operators - 7:18
    • Lists - 6:07
    • Tuples and Ranges - 4:36
    • Dictionaries - 5:05
    • If Statements - 5:42
    • While Loops - 4:55
    • For Loops - 4:18
    • Functions - 7:09
    • Classes and Objects - 10:02
  • Conclusion
    • Conclusion - 3:09

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2.0 hours
Lessons
17

Data Insights with Cluster Analysis

Learn the Fundamentals of Cluster Analysis & All About Most Popular Clustering Algorithms

By ZENVA | in Online Courses

Cluster analysis is the process of grouping data that have similar attributes or properties and is incredibly useful in a wide variety of fields and applications, including market analysis and segmentation, medical imaging, recommender systems, geospatial data, anomaly detection, and more. Whether the number of groups (or “clusters”) are predefined or determined by an algorithm, cluster analysis helps to provide you with insight into what data should belong together. This course will provide you with all that you need to get started with cluster analysis.

4.9/5 average rating: ★ ★ ★ ★

  • Access 17 lectures & 2 hours of content 24/7
  • Describe how k-means clustering works
  • Perform a k-means cluster analysis using scikit-learn
  • Describe how to interpret results from a k-means cluster analysis
Zenva Academy
4.4/5 Instructor Rating: ★ ★ ★ ★

Trusted by over 1 million learners and developers, Zenva provides world-class training on in-demand programming skills covering game development, machine learning, virtual reality, and full-stack web development. The e-learning platform Zenva Academy is the leading place to upskill, learn and gain key tech skills for the innovation economy.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Any device with basic specifications

Course Outline

  • Introduction
    • Introduction - 2:50
    • Source Files
    • Additional Resources
    • Introduction to Cluster Analysis - 9:39
  • Cluster Analysis for Data
    • k-Means Clustering - 11:34
    • k-Means on Datasets - Part 1 - 10:42
    • k-Means on Datasets - Part 2 - 10:30
    • DBSCAN - Part 1 - 9:53
    • DBSCAN - Part 2 - 11:05
    • DBSCAN on Datasets - Part 1 - 9:57
    • DBSCAN on Datasets - Part 2 - 9:59
    • HAC - 9:45
    • HAC on Datasets - 9:55
    • Intro to Credit Card Dataset - 9:50
    • The Elbow Method and KMeans - 10:30
    • Running HAC on Our Dataset - 9:47
  • Conclusion
    • Conclusion - 1:37

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Terms

  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
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