Part time Course in Technology Studies in USA

Find Part time Courses in Technology Studies in USA 2018

Technology Studies

There are hundreds of nationally recognized Professional qualifications & training courses from the worlds leading education providers. Course objectives should lead to teaching methods and student interest.

Although technology may seem like a contemporary development, humans have been using technology since they began converting natural resources into tools. For example, the understanding of fire and its use in prehistoric cooking could be considered a facet of technology.

The USA remains the world’s most popular destination for international students. Universities in the US dominate the world rankings and the country also offers a wide variety of exciting study locations. State university systems are partially subsidized by state governments, and may have many campuses spread around the state, with hundreds of thousands of students.

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Blockchain Certification Course

ACADGILD
Online 12 weeks March 2019 USA USA Online

Blockchain is touted as the new internet. It is in the same stage of development and capability of disruption as the internet was in the 1990s. It is a digital platform where information and assets can be shared. The platform is incredibly transparent, secure, fast, despite being decentralized. It is already quite popular, and rapidly changing the way markets and organizations function. If you want to be a part of this economy, this course can help you. You will learn the basics of blockchain – the technology that drives Bitcoin, Ripple, Ethereum, etc. You will also learn its advanced applications like Smart Contracts and Assets. [+]

Intensive 4-month Program Collaborative Assignments with Mentors Master Blockchain Technology Learn EVM Architecture, Solidity Codes, and How to Write Smart Contracts

DURATION

12 Weeks

EFFORT

8-10 Hrs/Week

CAREERS

Blockchain Developer, Engineer, Architect, Solidity Developer, Researcher, Product Manager.

Blockchain is touted as the new internet. It is in the same stage of development and capability of disruption as the internet was in the 1990s. It is a digital platform where information and assets can be shared. The platform is incredibly transparent, secure, fast, despite being decentralized. It is already quite popular and rapidly changing the way markets and organizations function. If you want to be a part of this economy, this course can help you.... [-]


Data Science Masters Course

ACADGILD
Online Part time 24 weeks March 2019 USA USA Online

The course teaches statistics for business analysis, machine learning algorithms, deep learning with TensorFlow, and programming with Python. It will help you explore, analyze, and interpret different kinds of data. [+]

Intensive 6-Month Program Collaborative Assignments with Mentors Master Statistics, Machine Learning, Deep Learning, and AI Learn Tools like Python, TensorFlow, Spark, R, and Tableau

DURATION

24 Weeks

EFFORT

10-15 Hrs/Week

CAREERS

Business Analyst, Data Analyst, Data Architect, Data Administrator, Data Manager, Data Scientist

The course teaches statistics for business analysis, machine learning algorithms, deep learning with TensorFlow, and programming with Python. It will help you explore, analyze, and interpret different kinds of data.

Why You Should Take This Course Acadgild Experience What You Will Learn in This Course Programming in Python and R Python & R basics Conditional and loops String and list objects Functions & OOPs concepts Exception handling Database programming*Sessions on R are not live, but self-paced Data Wrangling Reading CSV, JSON, XML and HTML files using Python NumPy & pandas Scipy libraries Loading, cleaning, transforming, merging, and reshaping data Statistics and Probability Descriptive statistics Inferential statistics Hypothesis testing Statistical concepts in Python Machine Learning Models with Python Building models using algorithms Linear and logistics regression Decision trees Support vector machines (SVMs) Random forests XGBoost K nearest neighbor & hierarchical clustering Principal component analysis Text analytics and time series forecasting Deep Learning using TensorFlow Introduction to deep learning Understanding neural network through TensorFlow Convolution & recurrent neural networks Data Visualization using Matplotlib and Tableau Interactive visualizations with Matplotlib, Data visualizations using Tableau Tableau dashboard and storyboard Tableau and R integrationSessions on Tableau are not live, but self-paced Handling Big Data with Spark Introduction to Big Data & Spark... [-]

Advance MATLAB Data Types and Data Structures

Simpliv
Online Part time 3 hours Open Enrollment USA Fremont

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language which is frequently being used by engineering and science students. While teaching to students and observing different MATLAB related courses on Simpliv for more than six months now. I realized that there is a need for a course which should cover the key data types such as Cells, tables, timetables, structures and Map containers which should provide the students with the essential skills for taking full advantage of MATLAB strengths in data analysis and programming. In this course, we not only cover these data Types but also demonstrates different functions and operation and their conversions to make analysis and programming a greater experience. [+]

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language which is frequently being used by engineering and science students. While teaching to students and observing different MATLAB related courses on Simpliv for more than six months now. I realized that there is a need for a course which should cover the key data types such as Cells, tables, timetables, structures and Map containers which should provide the students with the essential skills for taking full advantage of MATLAB strengths in data analysis and programming.

In this course, we not only cover these data Types but also demonstrates different functions and operation and their conversions to make analysis and programming a greater experience.... [-]


From 0 to 1: Hive for Processing Big Data

Simpliv
Online Part time 15 hours Open Enrollment USA Fremont

Hive is like a new friend with an old face (SQL). This course is an end-to-end, practical guide to using Hive for Big Data processing. [+]

Prerequisites: Hive requires knowledge of SQL. The course includes an SQL primer at the end. Please do that first if you don't know SQL. You'll need to know Java if you want to follow the sections on custom functions.

Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with large-scale data.

Hive is like a new friend with an old face (SQL). This course is an end-to-end, practical guide to using Hive for Big Data processing.

Let's parse that

A new friend with an old face: Hive helps you leverage the power of Distributed computing and Hadoop for Analytical processing. Its interface is like an old friend: the very SQL like HiveQL. This course will fill in all the gaps between SQL and what you need to use Hive.... [-]


CompTIA Cybersecurity Analyst CSA+ CS0-001. The Total Course

Simpliv
Online Part time 7 hours Open Enrollment USA Fremont

This course covers everything you need to know to pass your CompTIA CSA+ Certification (CS0-001) Exam. The first goal of the course is to make you an outstanding cybersecurity analyst and in the process, make sure you are ready to pass the CompTIA exam. [+]

Welcome to CompTIA Cybersecurity Analyst CSA+ CS0-001. The Total Course from Total Seminars and Brent Chapman.

This course covers everything you need to know to pass your CompTIA CSA+ Certification (CS0-001) Exam. The first goal of the course is to make you an outstanding cybersecurity analyst and in the process, make sure you are ready to pass the CompTIA exam.

The course covers all the CompTIA CSA+ CS0-001 Objective Domains:

1.0 Threat Management: 27%

2.0 Vulnerability Management: 26%

3.0 Cyber Incident Response: 23%

4.0 Security Architecture and Tool Sets: 24%

Topics include: Threat and vulnerability management Conducting an analyzing reconnaissance Responding to network-based threats Securing a corporate network Cyber incident response Determining the impact of incidents Preparing the incident response toolkit ... [-]

CompTIA IT Fundamentals; FC0-U51. The Total Course

Simpliv
Online Part time 4 - 5 hours Open Enrollment USA Fremont

Welcome to the IT Fundamentals; FC0-501. The Total Course from Mike Meyers, Scott Jernigan, and Total Seminars. Be your own Geek. This course is for everyone who has had to call a Help Desk or a Geek friend to help them with basic PC and mobile issues. You will learn about PCs, tablets, phones, networks, and Internet issues. You will also learn about security, safety, and preventative maintenance. [+]

Welcome to the IT Fundamentals; FC0-501. The Total Course from Mike Meyers, Scott Jernigan, and Total Seminars.

Be your own Geek. This course is for everyone who has had to call a Help Desk or a Geek friend to help them with basic PC and mobile issues. You will learn about PCs, tablets, phones, networks, and Internet issues. You will also learn about security, safety, and preventative maintenance.

Learn how to: Identify and understand basic computer components and what they do Understand operating systems, data storage, and sharing Set up and configure a basic PC workstation Work with applications and files Handle basic software installation Set up and configure a mobile device Connect to networks and the Internet Identify/prevent basic security risks Identify compatibility issues Understand safety and preventative maintenance of computers ... [-]

CompTIA Security+ Certification (SY0-401): The Total Course

Simpliv
Online Part time 13 - 14 hours Open Enrollment USA Fremont

Welcome to the CompTIA Security+ Certification; SY0-401. The Total Course from Mike Meyers and Total Seminars. This course covers everything you need to know to pass your CompTIA Security+ Certification SY0-401 Exam. The first goal of the course is to make you a good IT security tech and in the process make sure you are ready to pass the CompTIA Security+ exam. This course is over 10 hours in length containing over 80 video lectures. [+]

Welcome to the CompTIA Security+ Certification; SY0-401. The Total Course from Mike Meyers and Total Seminars.

This course covers everything you need to know to pass your CompTIA Security+ Certification SY0-401 Exam. The first goal of the course is to make you a good IT security tech and in the process make sure you are ready to pass the CompTIA Security+ exam. This course is over 10 hours in length containing over 80 video lectures.

The course covers all the CompTIA Security+ SY0-401 Objective Domains:

1.0 Network Security: 20%

2.0 Compliance and Operational Security: 18%

3.0 Threats and Vulnerabilities: 20%

4.0 Application, Data and Host Security: 15%... [-]


From 0 to 1: Raspberry Pi and the Internet of Things

Simpliv
Online Part time 7 - 8 hours Open Enrollment USA Fremont

The course takes you to a solid intermediate level. The objective is to get you to a point where if you imagine a really cool IoT application, you will be able to independently figure out how to implement it. [+]

Taught by a team of electrical engineers from Stanford and IIT Madras.

An Internet-Of-Things course for everyone - accessible yet serious, to take you from absolute beginner to a solid intermediate level - built around Home Automation using Raspberry Pi.

This is a course is for everyone. You need not be an electrical engineer or an engineer at all. We explain all engineering or automation concepts from absolute scratch.

This is an Internet-of-Things course, not merely a Raspberry Pi course. This is important because we think too many courses end up becoming like manuals for the Raspberry Pi, or the Arduino, or some specific hardware device. This course is careful to generalize... [-]


Ruby On Rails: Stock Market App

Simpliv
Online Part time 3 - 4 hours Open Enrollment USA Fremont

Ruby on Rails can seem overwhelming at first, but it doesn’t have to be! In this course, I’ll walk you through it step by step and you’ll be building your first web app in MINUTES. You’ll be amazed how quick and easy it is to create very professional looking websites, [+]

Ruby on Rails can seem overwhelming at first, but it doesn’t have to be! In this course, I’ll walk you through it step by step and you’ll be building your first web app in MINUTES. You’ll be amazed how quick and easy it is to create very professional looking websites,

even if you have no programming or web design experience at all.

Watch over my shoulder as I build a cool Stock Market app step by step right in front of you. You’ll follow along and build your own copy. By the time we’re finished, you’ll have a solid understanding of Ruby on Rails and how to use it to build awesome web apps.

The course contains 42 videos – and is just over 3 hours long. Watch the videos at your own pace, and post questions along the way if you get stuck. You don’t need any special knowledge or software to take this course, though any experience with HTML or CSS is a plus. You don’t even need to know the Ruby programming language. I’ll walk you through EVERYTHING.... [-]


Learn By Example: Statistics and Data Science in R

Simpliv
Online Part time 9 hours Open Enrollment USA Fremont

This course is a gentle yet thorough introduction to Data Science, Statistics, and R using real-life examples. [+]

Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce.

This course is a gentle yet thorough introduction to Data Science, Statistics, and R using real-life examples.

Let’s parse that.

Gentle, yet thorough: This course does not require a prior quantitative or mathematics background. It starts by introducing basic concepts such as the mean, median etc and eventually covers all aspects of an analytics (or) data science career from analyzing and preparing raw data to visualize your findings.

Data Science, Statistics, and R: This course is an introduction to Data Science and Statistics using the R programming language. It covers both the theoretical aspects of Statistical concepts and the practical implementation using R.... [-]


Image Processing Applications on Raspberry Pi - From Scratch

Simpliv
Online Part time 4 - 5 hours Open Enrollment USA Fremont

This course will take beginners without any coding skills to a level where they can write their own programs. [+]

Image Processing Applications on Raspberry Pi is a beginner course on the newly launched Raspberry Pi 3 and is fully compatible with Raspberry Pi 2 and Raspberry Pi Zero.

The course is ideal for those who are new to the Raspberry Pi and want to explore more about it.

You will learn the components of Raspberry Pi, connecting components to Raspberry Pi, installation of NOOBS operating a system, basic Linux commands, Python programming and building Image Processing applications on Raspberry Pi.

Building Image Processing applications are taught in the simplest manner which is easy to understand. Users can quickly learn hardware assembly and coding in Python programming for building Image Processing applications. By the end of this course, users will have enough knowledge about Raspberry Pi, its components, basic Python programming, and execution of Image Processing applications in the real-time scenario.... [-]


From 0 to 1: Machine Learning, NLP & Python-Cut to the Chase

Simpliv
Online Part time 20 hours Open Enrollment USA Fremont

Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce. This course is a down-to-earth, shy but confident take on machine learning techniques that you can put to work today [+]

Prerequisites: No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided.

Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce.

This course is a down-to-earth, shy but confident take on machine learning techniques that you can put to work today

Let’s parse that.

The course is down-to-earth: it makes everything as simple as possible - but not simpler The course is shy but confident: It is authoritative, drawn from decades of practical experience -but shies away from needlessly complicating stuff. You can put ML to work today: If Machine Learning is a car, this car will have you driving today. It won't tell you what the carburetor is. The course is very visual: most of the techniques are explained with the help of animations to help you understand better. This course is practical as well: There are hundreds of lines of source code with comments that can be used directly to implement natural language processing and machine learning for text summarization, text classification in Python. The course is also quirky. The examples are irreverent. Lots of little touches: repetition, zooming out so we remember the big picture, active learning with plenty of quizzes. There’s also a peppy soundtrack, and art - all shown by studies to improve cognition and recall.... [-]

From 0 to 1: Spark for Data Science with Python

Simpliv
Online Part time 8 hours Open Enrollment USA Fremont

If you are an analyst or a data scientist, you're used to having multiple systems for working with data. SQL, Python, R, Java, etc. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to produce your code. [+]

Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with Java and with billions of rows of data.

Get your data to fly using Spark for analytics, machine learning, and data science

Let’s parse that.

What's Spark? If you are an analyst or a data scientist, you're used to having multiple systems for working with data. SQL, Python, R, Java, etc. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to productionize your code.

Analytics: Using Spark and Python you can analyze and explore your data in an interactive environment with fast feedback. The course will show how to leverage the power of RDDs and Data frames to manipulate data with ease.... [-]


From 0 to 1: Learn Python Programming - Easy as Pie

Simpliv
Online Part time 11 hours Open Enrollment USA Fremont

A note on the Python versions 2 and 3: The code-along in this class all use Python 2.7. Source code (with copious amounts of comments) is attached as a resource with all the code-along. The source code has been provided for both Python 2 and Python 3 wherever possible. [+]

A Note on the Python versions 2 and 3: The code-along in this class all use Python 2.7. Source code (with copious amounts of comments) is attached as a resource with all the code-along. The source code has been provided for both Python 2 and Python 3 wherever possible.

What's Covered: Introductory Python: Functional language constructs; Python syntax; Lists, dictionaries, functions and function objects; Lambda functions; iterators, exceptions, and file-handling Database operations: Just as much database knowledge as you need to do data manipulation in Python Auto-generating spreadsheets: Kill the drudgery of reporting tasks with xlsxwriter; automated reports that combine database operations with spreadsheet auto-generation Text processing and NLP: Python’s powerful tools for text processing - nltk and others. Website scraping using Beautiful Soup: Scrapers for the New York Times and Washington Post Machine Learning: Use sk-learn to apply machine learning techniques like KMeans clustering Hundreds of lines of code with hundreds of lines of comments Drill #1: Download a zip file from the National Stock Exchange of India; unzip and process to find the 3 most actively traded securities for the day Drill #2: Store stock-exchange time-series data for 3 years in a database. On-demand, generate a report with a time-series for a given stock ticker Drill #3: Scrape a news article URL and auto-summarize into 3 sentences Drill #4: Scrape newspapers and a blog and apply several machine learning techniques - classification and clustering to these Using discussion forums ... [-]

GCP: Complete Google Data Engineer and Cloud Architect Guide

Simpliv
Online Part time 29 hours Open Enrollment USA Fremont

his course is a really comprehensive guide to the Google Cloud Platform - it has ~25 hours of content and ~60 demos. The Google Cloud Platform is not currently the most popular cloud offering out there - that's AWS of course - but it is possibly the best cloud offering for high-end machine learning applications. That's because TensorFlow, the super-popular deep learning technology is also from Google. [+]

This course is a really comprehensive guide to the Google Cloud Platform - it has ~25 hours of content and ~60 demos.

The Google Cloud Platform is not currently the most popular cloud offering out there - that's AWS of course - but it is possibly the best cloud offering for high-end machine learning applications. That's because TensorFlow, the super-popular deep learning technology is also from Google.

What's Included: Compute and Storage - AppEngine, Container Engineer (aka Kubernetes) and Compute Engine Big Data and Managed Hadoop - Dataproc, Dataflow, BigTable, BigQuery, Pub/Sub TensorFlow on the Cloud - what neural networks and deep learning really are, how neurons work and how neural networks are trained. DevOps stuff - StackDriver logging, monitoring, cloud deployment manager Security - Identity and Access Management, Identity-Aware proxying, OAuth, API Keys, service accounts Networking - Virtual Private Clouds, shared VPCs, Load balancing at the network, transport and HTTP layer; VPN, Cloud Interconnect and CDN Interconnect Hadoop Foundations: A quick look at the open-source cousins (Hadoop, Spark, Pig, Hive and HBase) Who is the target audience? Yep! Anyone looking to use the Google Cloud Platform in their organizations Yep! Anyone who is interesting in architecting computers, networking, loading balancing and other solutions using the GCP Yep!Anyone who wants to deploy serverless analytics and big data solutions on the Google Cloud Yep! Anyone looking to build TensorFlow models and deploy them in the cloud BASIC KNOWLEDGE Basic understanding of technology - superficial exposure to Hadoop is enough. WHAT YOU... [-]