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Big Data Analytics: Fundamentals

SKU [aba_01_a01_bs_enus]

Price

$399.00

Data has always been around, but technological advances in recent years means vast amounts of data can now be captured, stored, and analyzed faster than ever before. This learning path covers the essential knowledge organizations need in order to understand what big data is, the advantages it offers, and fundamental ways it can be used to benefit your organization

Quantity

Course Details:

You've probably heard of big data, but what exactly is it, and how can it be used to give your organization a competitive advantage?

In this course, you'll learn about the key characteristics of big data, the benefits it can provide, and the types of data it incorporates. You'll also be introduced to the different ways it can be applied, depending on your market sector, and it'll cover some of the fundamental security challenges and best practices for managing big data through an effective information lifecycle.

This course contains 2 chapters and 13 modules (Total Time: 1hr):

Big Data: Fundamentals
1. Overview of Big Data
  1. Big Data Characteristics
  2. Benefits of Big Data
  3. Data Source Types for Big Data
  4. Big Data by Market Sector
  5. Big Data & Security
  6. Phases of the Data Life Cycle
Big Data: Interpretation
1. Interpreting Big Data
  1. Big Data and the Data Analysis Process
  2. Big Data and Business Intelligence
  3. Basic Analytics for Big Data
  4. Advanced Analytics for Big Data
  5. Data Storage, Management, Cleaning, and Mining Tools
  6. Data Analysis, Visualization, and Integration Tools
  7. Big Data Analysis Challenges

Digital Product Notice:

This is a Digital Product!
After course purchase, you'll receive your credentials via email to access the online Student Portal to view your course material.

Refund/Exchange Policy:

Our online courses are digital products that will be delivered via online access through our Student Portal.

Digital products are ineligible for refunds or exchanges.

Course ID Code:

ID: [aba_01_a01_bs_enus] -to- [aba_01_a02_bs_enus]

*to be used for course registration*

Recommended Experience:

Beginner Level

This course is suitable for everyone, including students, professionals, and enthusiasts.

Flexible Schedule

Learn at your own pace!

Certificate of Completion

Earn a Professional Career Certification from the State University of New York.

Course
Overviews & Objectives

Install Anaconda Python on Windows & MacOS
Execute commands on the Python shell.
Perform basic math operations.
Execute arithmetic operations on variables.
Work with built-in functions.
Create & use complex data types (lists, tuples, sets, etc.)
Perform type conversions.
Create strings with various quotes.
How to perform basic math and logical operations in Python.
Create Python variables and see how you can assign and access values stored in these variables.
Use built-in functions in the core Python programming language to perform simple calculations and operations.
Explore strings in Python work, creating strings using single, double, and triple quotes depending on the use case.
Examine the use of complex data types, such as lists, tuples, sets, and dictionaries.
When you're finished with this course, you'll be able to execute simple Python commands on Jupyter notebooks.

Overview:

In Module #1, you'll learn the basics of Python and its philosophy, setting up Python, and writing a basic program with built-in data types, loops, and conditionals.

Objectives:

Setting Up
A Basic Program
Data Types
Sequence Types
Collection & Mapping Types in Python
Loops & Conditionals
Practice: Writing a Python Program

Overview:

Python is a lot more than a scripting language, and can be used to create OOP applications using classes, or using a functional paradigm.

This module covers some of the ways Python programs can execute. You'll learn about building your own custom functions and classes, and documentation and file handling.

Objectives:

Modules & Functions
Classes
Documenting Code
Files
Practice: Creating Classes

Course
Overviews & Objectives

Install Anaconda Python on Windows & MacOS
Execute commands on the Python shell.
Perform basic math operations.
Execute arithmetic operations on variables.
Work with built-in functions.
Create & use complex data types (lists, tuples, sets, etc.)
Perform type conversions.
Create strings with various quotes.
How to perform basic math and logical operations in Python.
Create Python variables and see how you can assign and access values stored in these variables.
Use built-in functions in the core Python programming language to perform simple calculations and operations.
Explore strings in Python work, creating strings using single, double, and triple quotes depending on the use case.
Examine the use of complex data types, such as lists, tuples, sets, and dictionaries.
When you're finished with this course, you'll be able to execute simple Python commands on Jupyter notebooks.

Overview:

In Module #1, you'll learn the basics of Python and its philosophy, setting up Python, and writing a basic program with built-in data types, loops, and conditionals.

Objectives:

Setting Up
A Basic Program
Data Types
Sequence Types
Collection & Mapping Types in Python
Loops & Conditionals
Practice: Writing a Python Program

Overview:

Python is a lot more than a scripting language, and can be used to create OOP applications using classes, or using a functional paradigm.

This module covers some of the ways Python programs can execute. You'll learn about building your own custom functions and classes, and documentation and file handling.

Objectives:

Modules & Functions
Classes
Documenting Code
Files
Practice: Creating Classes

Frequently Asked Questions

You will receive a username & password to access the Student Portal and view your course material.

Please allow 24-48 hours for your student registration and credentials to be assigned.
Upon course completion, you will be mailed a Professional Career Certification from the State University of New York.

Big Data Analytics: Fundamentals

Course Details:

Digital Product Notice:

Refund/Exchange Policy: