top free online courses

TOP 10 DATA SCIENCE COURSES WITH CERTIFICATION IN 2020

2020-05-22T15:27:00.001+05:30

TOP 10 DATA SCIENCE COURSES with CERTIFICATIOn IN 2020

By:Dheeraj Verma

Learning new skills to enhance your abilities to do a task effectively can be a hectic schedule especially if you are an employee. It’s hard to chase coaching or learning centers after spending 8-10 hours in the office per day. And when it comes to becoming technology-efficient specifically in the field of data science, you need to have the best qualification, handy experiences to get better job opportunities in this high in-demand profession. To ease out people’s hectic schedules without compromising with the quality of the education, online platforms like Coursera, Udemy, eDX and many more have a collection of data science certification and courses.

“The ability to take data — to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it — that’s going to be a hugely important skill in the next decades.”- Hal Varian, chief economist at Google and UC Berkeley professor of information sciences, business, and economics

WHAT IS DATA SCIENCE ?

Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals. Today, successful data professionals understand that they must advance past the traditional skills of analyzing large amounts of data, data mining, and programming skills. In order to uncover useful intelligence for their organizations, data scientists must master the full spectrum of the data science life cycle and possess a level of flexibility and understanding to maximize returns at each phase of the process.

THE DATA SCIENCE LIFE CYCLE

The image represents the five stages of the data science life cycle: Capture, (data acquisition, data entry, signal reception, data extraction); Maintain (data warehousing, data cleansing, data staging, data processing, data architecture); Process (data mining, clustering/classification, data modeling, data summarization); Analyze (exploratory/confirmatory, predictive analysis, regression, text mining, qualitative analysis); Communicate (data reporting, data visualization, business intelligence, decision making).

The term “data scientist” was coined as recently as 2008 when companies realized the need for data professionals who are skilled in organizing and analyzing massive amounts of data. 1 In a 2009 McKinsey&Company article, Hal Varian, Google's chief economist and UC Berkeley professor of information sciences, business, and economics, predicted the importance of adapting to technology’s influence and reconfiguration of different industries.

Why Become a Data Scientist?

Glassdoor ranked data scientist as the #1 Best Job in America in 2018 for the third year in a row. 4 As increasing amounts of data become more accessible, large tech companies are no longer the only ones in need of data scientists. The growing demand for data science professionals across industries, big and small, is being challenged by a shortage of qualified candidates available to fill the open positions.

The need for data scientists shows no sign of slowing down in the coming years. LinkedIn listed data scientist as one of the most promising jobs in 2017 and 2018, along with multiple data-science-related skills as the most in-demand by companies.

The statistics listed below represent the significant and growing demand for data scientists.

28%

Demand Increase by 2020

4,524

Number of Job Openings

$120,931

Average Base Salary

#1

Best Job in America 2016, 2017, 2018

Sources:

Glassdoor and Forbes

So Here is the list of top 10 best data science

certification and courses of 2020 prepared by

DIGITAL DUO.

1.IBM Data Science Professional

Certificate – Coursera

The certification consists of a series of 9 courses that help students to acquire skills required to work on the projects available in the industry. The lectures span a broad range of topics including data visualization, analysis, libraries, and open-source tools. By the end of the program, the student can showcase his skills and enhance his resume through multiple assignments and projects. During the program, instructors help students to work on the fundamental techniques through examples. Students get plenty of opportunities to implement the skills learned using real-world tools and real-world datasets. Notably, no prior programming or computer science knowledge is required.

Duration: 3 to 5 weeks per course, 2 to 7 hours per week

2.Professional Masters Certificate in

Data Science – Dartmouth College

This certification program from Thayer School of Engineering is the best option for those who are willing to earn a professional certificate in Data Science by learning all the essential concepts and skills. Students can develop high-demand skills that are required in today’s job market, such as Data Visualization, Machine Learning, Risk Management, and Predictive capabilities. After completion of the course, students will be able to take advantage of new opportunities and face new challenges in the field of Data Science. During the course, students can learn how to create visualizations, build linear and logistic regression models, and apply standard machine learning algorithms. They will work with different projects and develop a data science portfolio at the end of the course that can be shared with employers to showcase their skills.

Duration: 6 months

3.Data Science Master’s Degrees Online –

Coursera

The University of Michigan School of Information’s online Master of Applied Data Science (MADS) degree is designed for aspiring data scientists to learn and apply skills through hands-on projects. You’ll learn how to use data to improve outcomes and achieve ambitious goals.

The MADS curriculum prepares you to be a leader in the field through mastery of core data science concepts like machine learning and natural language processing. By diving deep on key topics such as privacy, data ethics, and persuasive communication, you’ll be prepared to succeed within today’s organizations. You’ll also work with real data sets from top companies as you build a work portfolio that showcase your skills. Learn the systems and techniques that help organizations overcome data overload and make smart decisions.

4.Machine Learning Certification by Stanford

University – Coursera

The course has been created by Andrew Ng who is the former head of Google Brain and Baidu AI Group. He has created this along with other professors from Stanford University. In this course, students will learn about Supervised learning, Unsupervised learning among other key areas. The course includes multiple case studies and applications to help students learn how to apply algorithms to build smart robots. It gives a better understanding of parametric and non-parametric algorithms, clustering, dimensionality reduction among other important topics. The students can go through real-world based case studies that will provide the opportunity to understand how problems are solved on a daily basis.

Duration: 55 hour

5.Data Science Certification from Harvard

University – edX

This program will teach students key data science essentials like R and ML with the help of real-world case studies. It is spread across 9 courses and is rated as among the best online master’s programs available on leading e-learning platform edX. The course spans R Basics, Visualization, Probability, Inference and Modeling, Productivity Tools, Wrangling, Linear Regression, Machine Learning followed by Capstone project to test and try. Students can gain experience with the tidyverse, including data visualization with ggplot2 and data wrangling with dplyr. They can become familiar with essential tools for practicing data scientists such as Unix/Linux, git and GitHub, and RStudio.

Duration: 9 courses, 2 to 8 weeks per course, 2-4 hours per week

6.MIT Data Science and Statistics Certificate –

edX

This certification contains a series of 5 courses that will help students strengthen their foundation of data science, statistics and machine learning. They will learn to analyze big data and understand how to make data-driven predictions through statistical inference and probabilistic modeling to extract meaningful data for decision making. To have college-level calculus, mathematical reasoning, and python programming proficiency is advisable. Students may apply to different job roles after the completion of this certification. Students will learn to analyze big data and make data-driven predictions through statistical inference and probabilistic modeling to extract meaningful data for decision making. Students can learn to build machine learning algorithms to make sense of the unstructured data and gain relevant information. They can work on unsupervised learning methods such as clustering methodologies and supervised methods such as deep neural networks.

Duration: 5 courses, 2 to 16 weeks per course

7.Applied Data Science with Python

Certification – University of Michigan

It is a 5-course program that will help students learn data science through the python programming language. Students need to have basic knowledge of Python and will be taught about popular python toolkits such as pandas, matplotlib, nltk, and networkx. The 5 courses will cover Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python and Applied Social Network Analysis.

Students can go beyond the basics of the Python programming environment including fundamental programming techniques such as lambda, reading and manipulating CSV files and the numpy library. They will learn to work on text mining and manipulation basics.

Duration: 5 months, 7 hours per week

8.Deep Learning Certification – deeplearning.ai

Students can learn how to build neural networks and lead successful machine learning projects through this 5-course specialization. Students will be taught about Python, Tensor Flow, RNNs, LSTM, Adam, Convolutional Networks and Xavier initialization among other aspects. The tutors for this course are Andrew Ng, Co-founder, Coursera & Adjunct Professor, Stanford University; Younes Bensouda Mourri, Mathematical & Computational Sciences, Stanford University, and Kian Katanforoosh, Adjunct Lecturer at Stanford University, deeplearning.ai, Ecole Centrale Paris.

9.Data Science MicroMasters Certification by

UC San Diego – edX

The course is spread across multiple months and is ideal for students and professionals looking for an immersive learning program that goes deep into the concepts of data science. They will develop a well-rounded understanding of the mathematical and computational tools and how to use them to make data-driven recommendations. The course covers Python for Data Science, Probability and Statistics, Machine Learning Fundamentals and Big Data Analytics using Spark. Students will use Apache Spark to analyze data that do not fit within the memory of a single computer. They can also work on practical assignments and projects to enhance their portfolio and implement the topics covered in the videos.

Duration: 4 courses, 10-15 weeks per course

10.The Data Science Course 2020: Complete Data

Science Bootcamp – Udemy

Then topics covered in this course are required to become a successful data scientist. Every topic builds on the previous one and discusses in and out of each of these areas. It allows students to get a better grasp of the facts and figures related to data science. The course provides a complete toolbox to enable students to understand this subject thoroughly. Students can understand the mathematics behind machine learning. They can solve real-life business cases and can start coding in Python. They can also learn how to use it for statistical analysis. The course includes 434 Lectures, 80 Articles, 129, Downloadable resources and full lifetime access.

Duration: 25 hours

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ALL THE BEST....

KEEP LEARNING...!

Get certified with AWS

2020-05-21T19:56:00.000+05:30

GET CERTIFIED WITH AWS

By:Dheeraj and Harsh

Hello guys, if you want to learn Amazon Web Services, popularly known as AWS and looking for some awesome resources e.g. books, courses, and tutorials then you have come to the right place.

In this article, I am going to share some of the best Amazon Web Services or AWS courses which will help you to learn this revolutionary and valuable technology free of cost.

Unlike other free courses, these are genuine free AWS courses which are made free by their authors and instructors for the promotional and educational purpose.

You just need to enroll with them and then you can learn AWS at any time, at any place and on your own schedule.

ABOUT AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 165 fully featured services from data centers globally, including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, IoT, security and enterprise applications.. Millions of customers – including the fastest-growing startups, largest enterprises, and leading government agencies –trust AWS to power their infrastructure, become more agile, and lower costs.

“Learning is not attained by chance, it must be sought for with ardor and attended to with diligence.” ―Abigail Adams.

Online courses have become immensely popular over the past decade. If you are searching for free online courses with certificates the DIGITAL DUO has arranged Free Online Courses with certificates in India 2020.Browse free online courses in a variety of subjects. Amazon Web Services courses found below can be audited free or students can choose to receive a verified certificate for a small fee. Select a course to learn more.

1. AWS Foundations: How Amazon SageMaker Can Help

Course Description

Learn how Amazon SageMaker mitigates the core challenges of implementing a machine learning pipeline. In this course, you learn how SageMaker notebooks and instances help power your machine learning workloads and review the key Amazon SageMaker features.

     • Course level: Fundamental
     • Delivery method: Digital training

Course objectives
In this course, you will learn to:

     • Describe where Amazon SageMaker fit into the machine learning pipeline
     • Describe Amazon SageMaker data formats
     • Use Amazon Sagemaker to train, evaluate, and automatically tune a model

LINK:https://www.aws.training/Details/Video?id=49646

2. AWS Foundations: Machine Learning Basics

Course Description

What is machine learning? How can machine learning solve business problems? When is it appropriate to use a machine learning model? What are the phases of a machine learning pipeline? In this course, you get an overview of the concepts, terminology, and processes of the exciting field of machine learning!

     • Course level: Fundamental
     • Delivery method: Digital training

Course Objectives
In this course, you will learn to:
     • Explain machine learning
     • Describe the three categories of machine learning algorithms
     • Explain deep learning
     • Describe the machine learning pipeline phases

LINK:https://www.aws.training/Details/Video?id=49644

3. Machine Learning in the Cloud with AWS Batch

Course Description

This course describes how to run and accelerate your machine learning applications in the cloud using AWS Batch. AWS Batch is a fully managed service that enables you to easily and efficiently run batch computing jobs on AWS. This course provides an introduction to AWS Batch, explains the main components of the service, and reviews a few examples of batch processing architectures.

Course Objectives
This course is designed to teach you how to:
     • Describe the main components of AWS Batch and how they function
     • Identify various batch processing dependency models
     • Describe the steps in a typical batch processing workflow

LINK: https://www.aws.training/Details/Video?id=45348

4. Exam Readiness: AWS Certified Machine Learning - Specialty

Course Description

This course prepares you to take the AWS Certified Machine Learning – Specialty exam, which validates your ability to design, implement, deploy, and maintain machine learning (ML) solutions.

In this course, you’ll learn about the logistics of the exam and the mechanics of exam questions, and you’ll explore the exam’s technical domains. You’ll review core AWS services and key concepts for the exam domains:

Data Engineering
Exploratory Data Analysis
Modeling
Machine Learning Implementation and Operations

You’ll also learn key test-taking strategies and will put them into action, taking multiple study questions. Once you’ve honed your skills, you’ll have the chance to take a quiz that will help you assess your areas of strength and weakness, so that you’ll know what to emphasize in your pre-exam studies.

Course Objectives

By the end of this course, you will be able to:

Identify your strengths and weaknesses in each exam domain so that you know what to focus on when studying for the exam
Describe the technical topics and concepts that make up each of the exam domains
Summarize the logistics and mechanics of the exam and its questions
Use effective strategies for studying and taking the exam

LINK: https://www.aws.training/Details/eLearning?id=42183

5. Practical Data Science with Amazon SageMaker

Course Description

In this course, learn how to solve a real-world use case with machine learning and produce actionable results using Amazon SageMaker. This course teaches you how to use Amazon SageMaker to cover the different stages of the typical data science process, from analyzing and visualizing a data set, to preparing the data and feature engineering, down to the practical aspects of model building, training, tuning and deployment.

LINK:https://www.aws.training/SessionSearch?courseId=40748

6. Amazon SageMaker: Build an Object Detection Model Using Images Labeled with Ground Truth

Course Description
In this course we’ll join Dr. Denis Batalov, worldwide AI/ML Tech Leader, as he shows you how to implement a machine learning pipeline using Amazon SageMaker and Amazon SageMaker Ground Truth. First you will create a labeled dataset, then you’ll create a training job to train your object detection model, and finally you will use Amazon SageMaker to create and update your model.

Course Objectives

In this course, you will learn how to:

Train a machine learning model using images labeled by Amazon SageMaker Ground Truth
Use Amazon SageMaker Ground Truth to identify the exact location of bees on individual images in a dataset
Train the object detection model using Amazon SageMaker in-built algorithms
Use an automated hyperparameter tuning job to find an optimal set of hyperparameters

LINK: https://www.aws.training/Details/Video?id=37702

7. CQ: The AWS Certification Quiz Show | Sydney Summit E06

Course Description

CQ - The interactive quiz show to help you prepare for your upcoming AWS Certification Exam. In this special episode, we take a brief look at the AWS Certified Machine Learning - Specialty exam with AWS Solutions Architect Aashmeet Kalra.

LINK: https://www.aws.training/Details/Video?id=37285

8. CQ: The AWS Certification Quiz Show | Sydney Summit E02

CourseDescription

LINK: https://www.aws.training/Details/Video?id=37281

9. Worker Safety Project with AWS DeepLens

CourseDescription

This intermediate-level course is designed to help you dust off your AWS DeepLens device and move from AWS DeepLens inquirer to practitioner. The course will help you get there by walking you through an object detection project that in the end will be able to identify individuals on a construction site who aren’t wearing hard hats.

Course Objectives
In this course, you will learn how to:

Set up the appropriate IAM roles and create an Amazon S3 bucket needed for this particular AWS DeepLens project

Create a Recognize Object Lambda function and an AWS DeepLens inference Lambda function

Create and deploy an AW DeepLens project, and

View and analyze the project results using AWS IoT and Amazon CloudWatch.

LINK: https://www.aws.training/Details/eLearning?id=32077

10. Exam Readiness: AWS Certified Machine Learning - Specialty

Course Description

This course prepares you to take the AWS Certified Machine Learning – Specialty exam, which validates your ability to design, implement, deploy, and maintain machine learning (ML) solutions.

Data Engineering
Exploratory Data Analysis
Modeling
Machine Learning Implementation and Operations

Course Objectives
By the end of this course, you will be able to:

Identify your strengths and weaknesses in each exam domain so that you know what to focus on when studying for the exam

Describe the technical topics and concepts that make up each of the exam domains.

Summarize the logistics and mechanics of the exam and its questions.

Use effective strategies for studying and taking the exam.

LINK: https://www.aws.training/Details/eLearning?id=42183

Want to explore more in the field of data science please dont forget to subscribe our blog. also let us know about our blog GET CERTIFIED WITH AWS in the comment section.

TOP FREE PROGRAMMING COURSES

2020-05-17T23:27:00.000+05:30

FREE PROGRAMMING COURSES

Right now, there’s an abundant number of in demand computer programming jobs , and an abundant number of free online programming courses to help you land one of those jobs—even without a traditional computer science degree.

"Any fool can write code that a computer can understand. Good programmers write code that humans can understand.”
-Martin Fowler

Digital Duo has made a collection of all these free course which you can explore below in the field of Programming.

1.Using Python for Research from Harvard University

This course bridges the gap between introductory and advanced courses in Python. While there are many excellent introductory Python courses available, most typically do not go deep enough for you to apply your Python skills to research projects. In this course, after first reviewing the basics of Python 3, we learn about tools commonly used in research settings. This version of the course includes a new module on statistical learning.

Using a combination of a guided introduction and more independent in-depth exploration, you will get to practice your new Python skills with various case studies chosen for their scientific breadth and their coverage of different Python features.

2.CS50's Web Programming with Python and JavaScript from Harvard University

Topics include database design, scalability, security, and user experience. Through hands-on projects, you'll learn to write and use APIs, create interactive UIs, and leverage cloud services like GitHub and Heroku. By course's end, you'll emerge with knowledge and experience in principles, languages, and tools that empower you to design and deploy applications on the Internet.

3.Programming for the Web with JavaScript from University of Pennsylvania

This course, part of the CS Essentials for Software Development Professional Certificate program, provides an introduction to modern web development using JavaScript. In addition to exploring the basics of web page creation using HTML and CSS, you will learn advanced web page layout and responsive design tools such as Bootstrap. You will also learn how browsers represent a web page data using the Document Object Model (DOM) and how to develop dynamic, interactive web pages using JavaScript in the browser. Beyond fundamental JavaScript syntax and advanced language features such as callbacks, events, and asynchronous programming, you will work with jQuery, which provides functionality for simplified DOM manipulation and event handling.

4.The Computing Technology Inside Your Smartphone from Cornell University

We use our smartphones to communicate, to organize our lives, to find information, and to entertain ourselves. All of this is possible because a smartphone contains a powerful computer processor, which is the subject of this course. This computer science course starts by moving step-by-step through the fundamental layers of computing technology, from binary numbers to application software, and then covers advanced performance techniques and the details of actual smartphone processors.

This Course also provides students with the technical knowledge and the Jade design tool experience to succeed in the more advanced MITx 6.004 MOOC - Computation Structures course sequence.

5.CS50's Mobile App Development with React Native from Harvard University

Learn about mobile app development with React Native, a popular framework maintained by Facebook that enables cross-platform native apps using JavaScript without Java or Swift.

The course introduces you to modern JavaScript (including ES6 and ES7) as well as to JSX, a JavaScript extension. Through hands-on projects, you'll gain experience with React and its paradigms, app architecture, and user interfaces. The course culminates in a final project for which you'll implement an app entirely of your own design.

6.CS50's Introduction to Game Development from Harvard University

Learn about the development of 2D and 3D interactive games in this hands-on course, as you explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and more.

Via lectures and hands-on projects, the course explores principles of 2D and 3D graphics, animation, sound, and collision detection using frameworks like Unity and LÖVE 2D, as well as languages like Lua and C#. By class’s end, you'll have programmed several of your own games and gained a thorough understanding of the basics of game design and development.

7.Software Development Fundamentals from University of Pennsylvania

Software developers are in high demand in the current job market, and computer programming is a prerequisite skill for success in this field.

Start your journey toward becoming a professional software developer by learning Java, one of the industry’s most commonly used programming languages.

This course, part of the CS Essentials for Software Development Professional Certificate program, will quickly cover Java syntax and keywords and then explore features of object-oriented programming including encapsulation, inheritance, and polymorphism. You will learn how to apply these concepts to programmatic problem solving by investigating class modeling techniques and relationships such as aggregation, realization, and generalization.

In addition to programming, you will learn about software testing techniques that help us find problems in our code, and you will use modern development environments and tools for tasks like debugging and unit testing. We will introduce Eclipse, the eclipse debugger and Junit (a unit testing framework).

After completing this course, you will be able to design, develop, and test large applications in Java and understand and apply core principles of professional software development.

8.[New] Quantitative Methods forBiology from Harvard University

Are you a biologist, health worker, or medical student who needs to learn how to program? Are you a programmer who wants a better understanding of the medical field? Are you looking for an introduction to MATLAB?

For beginners, Quantitative Methods for Biology takes a unique approach, giving you an inside glimpse of a course and its learners. You'll study alongside students who are also learning to code.

For expert programmers, this course has a will help you learn the MATLAB you need without getting slowed down by introductory concepts that you already know. Whether you're already comfortable with Python, Javascript, r, or some other language, we'll help you translate that knowledge to MATLAB.

All learners will be able to access a copy of MATLAB that they can use during the run of the course, free of charge. There will also be opportunities to put code directly into assignments so that you can test your skills and work on authentic projects.

In addition, this course uses an adaptive approach to its assignments. The more skilled you are, the fewer problems you'll need to complete in order to finish the course. If you're having difficulty, we'll make sure that you get the practice you need in order to succeed

SUBSCRIBE FOR MORE BLOGS RELATED TO FREE COURSES!

Best Free Online Courses With Printable Cerificates

2020-05-16T00:32:00.001+05:30

10+ Best Free Online Courses With Printable Certificates

Are you seeking out the best free online courses with printable certificates? Well, you’re in the right place!

And when I say free, I really mean it. These online courses won’t cost you a single penny.!

On top of that, I have also included providers that actually include a free printable certificate upon completion.

Also in this guide, you will find online courses for almost every industry from IT, management, business, design, HR, programming etc.

“Learning is not attained by chance, it must be sought for with ardor and attended to with diligence.”

―Abigail Adams.

I have created a list of top free e-learning resources/courses available. It would be good if you can do at least one certification and finish 3-4 courses, while you are stuck at home. These are all courses and link are useful and worth for an individual as per my perspective. I would wish all very the best for future endeavours.

1. The Aspiring Enting by CBEDrepreneurs Train

The Aspiring Entrepreneurs (AE) training is focused on developing the basic competencies neededby entrepreneurs who are planning to start a business. The training will support entrepreneurs to review the key businessprinciples of product, place,promotion and price,evaluate business ideas and develop strategies for success.

After completing the course, participants will understand how a business operates, how to assess different businessstrategies, and how to collaborate with others to promotetheir businesses success.Participants will have a new skill set and confidence to takeaction, make decisions and plan for the futureof their business or prospective businesses.

TheAE is part of Community-Based Enterprise Development (C-BED),a low cost, innovative trainingprogram designed by the International Labour Organization(ILO)to support skillsdevelopment and empowerment in local communities for improvements in livelihoods, productivity and working conditions.

Available Lessons:

· Overview of the programme

· Introductions

· Selecting a Business Idea

· Defining a Business Idea and Potential Customers

· Developing Your Marketing Plan

· Setting Your Price

· WhatMakes a Successful Business?

· Action Plan

LINK : https://www.asean-sme-academy.org/courses/the-aspiring-entrepreneurs- training/

2. Google Digital Marketing

Master the basicsof digital marketing with our free Interactive Advertising Bureau-accredited course.There are 26 modules to explore, allcreated by Google trainers, packedfull of practical exercises and real-world examples to help you turn knowledge into action.

LINK : https://learndigital.withgoogle.com/digitalunlocked/course/digital-marketing

3.Google Analytics

Google Analytics for Beginners showsnew users how to createan account, implement tracking code,and set up data filters.You'll learn how to navigatethe Google Analytics interface and reports, and set up dashboards and shortcuts. The course will also demonstrate how to analysebasic Audience, Acquisition, and Behaviour reports, and set up goals and campaign tracking.

LINK : https://analytics.google.com/analytics/academy/

4.COVID19- WHO

Inorder to assistUN country teamsin scaling up country preparedness and response to COVID-19, WHO has developed these learning modulesas a companion to the Operational Planning Guidelines to Support Country Preparedness and Response.

The training is intended:

For UN countryteams (UNCTs)
For otherrelevant stakeholders, including partners, donors and civil society
To support national readiness and preparedness for COVID-19
To help countries increase their capacityto respond to COVID-19

LINK :https://openwho.org/courses/UNCT-COVID19-preparedness-and-response-EN

5. Social MediaMarketing by HP

Explore a range of different socialmedia marketing campaigns. Learn how to create a social mediaadvertisement that willreach your targetcustomers.

In this course, you will learn:

· HP a variety of social media marketing campaigns

· HP how to create a Facebook ad targeted to your customers

LINK:https://hplife.edcastcloud.com/learn/social-media-marketing-open?locale=en

For more free online courses please click here.

6. Basics of Finance by HP

Learn basic concepts of business finance that help you calculate expenses and find out when you will make a profit. Explore using a spreadsheet to easily make necessary calculations.

In this course, you will learn how to:

Determine types of expenses
Calculate your break-even point
Use a spreadsheet to make your calculations easier
LINK :https://hplife.edcastcloud.com/learn/basics-of-finance-open?locale=en

7.Google Cloud Training

Enhance your resume with new certification. Google Cloud Certifications proves your proficiency to transform businesses with Google Cloudtechnology.

LINK : https://cloud.google.com/training

8. Energy Efficiency: Do More for Less by HP

Find out how to assess and reduce energy use in your business to save money and protect the environment. Learn how to use spreadsheets to assess energy use and adjust your practices.

In this course, you will learn how to:

Understand how to assess your energy use and how conserving energy saves your business money, preserves natural resources, and cuts back on pollution
Use a spreadsheet to assess your business’s energy use
LINK: https://hplife.edcastcloud.com/learn/energy-efficiency-do-more-for-less-open?locale=en

9. Basics of Logistics forExport by FEDEX

An overview of the fundamentals in logistics designed for micro, small,and medium-sized enterprises who wantto export to new marketsegments overseas.
LINK : https://www.asean-sme-academy.org/courses/basics-of-logistics-for-export/

10.Finding Funding by HP

Explore sourcesfor start-up fundsfor your business. Identify which sourcesare the best match foryour needs and learn whatto consider beforeyou apply. Explore how to search the Internet to find potential funders and then bookmark sites you find using socialbookmarking. Finally, learnhow to downloadand print applications for funding.

In this course, you will learn how to:

· Hp Find sourcesfor start-up funds

· Hp Identify the sources that are bestfor your businessneeds

· Hp Use social bookmarking

· Hp Download and print applications

LINK : https://hplife.edcastcloud.com/learn/finding-funding-open?locale=en

11. Connecting Global Commerce by Pay pal

Learn how PayPal operatesacross platforms and devices — enabling consumers to paywith any deviceor operating systemthey choose no matter if they’re on their mobiledevices, desktops or in the physical store.Since PayPal touchesboth the consumer and the merchant, we have the data to help protectagainst fraudulent transactions on the consumer side, while helpingmerchants to better understand their customers.

LINK :https://www.asean-sme-academy.org/courses/connecting-global-commerce/

For more free online courses please visit
https://topfreecoursesonline.blogspot.com/2020/05/top-free-online-courses.html

ALL THE BEST.!

Top Free Online Courses

2020-05-14T03:17:00.000+05:30

Want To Learn From Global Educators:Here Are Some Top Free Courses

Want to learn something that could make you separate from the mob.
I have some solutions to this problem.!

Due to the COVID-19 pandemic the rate of unemployment rate in India has rose to 7.78% and globally the unemployment rate is probably 13%.The technology is taking quantum leaps of development.The learning pattern is changing now a days.The online method of teaching is the perfect example of advancement of technology.The top institutes or the premier institutes are teaching their various courses through online platforms.

"Online learning is rapidly becoming one of the most cost-effective ways to educate the world's rapidly expanding workforce.” - Zig Ziglar

In today's era your value is estimated by the skill you have learned not the degress that you had pursued.The benefits of these online courses are very vast.The learnings would help you in your nearby future but here are some benefits of pursuing these online courses.

1.Reduced Costs
Online education can cost less due to a variety of reasons. For example, there is no cost for commuting. Assorted costs that are related to transport, such as fuel, parking, car maintenance, and public transportation costs don't affect the online student.

2.Flexibility

Students have the freedom to juggle their careers and school because they aren't tied down to a fixed schedule. In a traditional classroom setting, class meeting times are set, and the student has no power over this, forcing them to work their schedules around these dates.

3. Access to Expertise
An online college education might give students access to specialized degree courses that may not be available in an easily accessible or local institution of learning. For example, at CCA you can pursue a degree in Marketing or a certificate in C++ Programming without having to live near the institution. Online classes allow the sharing of expertise that helps more people have access to education that is not readily available in certain geographic locations.

4.You can learn whatever you want!

You can pick the program of your dreams in traditional education, too, but that would involve traveling away from home, living in a completely unknown city, and struggling in an extremely competitive learning environment. With online education, you can take any program or course present in traditional four-year universities.

5.Online courses look great on a resume and makes good impression

It doesn’t matter where your career stands at this moment; an online program will always look good on your resume. It will show potential employers that you’re committed to learning and you’re eager to obtain more knowledge and new skills. Hiring managers don’t see online degrees as inferior to traditional ones. A degree is a degree. If you obtain an online degree from a prestigious university, you’ll boost your career with the speed of light. You will certainly become a better candidate for a job promotion, and your resume will look much better when you apply for new positions.

Digital Duo has made a collection of all these course which you can explore below in the field of computer science.

1.CS50's Introduction to ComputerScience from Harvard University

This is CS50x, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript plus CSS and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming. The on-campus version of CS50x, CS50, is Harvard's largest course.

2.Algorithms, Part I from Princeton University

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.
All the features of this course are available for free.

3.Algorithms, Part II from Princeton University

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.

4.Machine Learning: Unsupervised Learning from Brown University

This is the second course in the 3-course Machine Learning Series and is offered at Georgia Tech as CS7641. Taking this class here does not earn Georgia Tech credit.

Ever wonder how Netflix can predict what movies you'll like? Or how Amazon knows what you want to buy before you do? The answer can be found in Unsupervised Learning!

Closely related to pattern recognition, Unsupervised Learning is about analyzing data and looking for patterns. It is an extremely powerful tool for identifying structure in data. This course focuses on how you can use Unsupervised Learning approaches -- including randomized optimization, clustering, and feature selection and transformation -- to find structure in unlabeled data.

5.Robotics: Perception from University of Pennsylvania

In this module, we will study how images and videos acquired by cameras mounted on robots are transformed into representations like features and optical flow. Such 2D representations allow us then to extract 3D information about where the camera is and in which direction the robot moves. You will come to understand how grasping objects is facilitated by the computation of 3D posing of objects and navigation can be accomplished by visual odometry and landmark-based localization.

6.Analysis of Algorithms from Princeton University

This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.

7.Enabling Technologies for Data Science and Analytics: The Internetof Things from Columbia University

In this data science course, you will learn about the major components of the Internet of Things and how data is acquired from sensors. You will also examine ways of analyzing event data, sentiment analysis, facial recognition software and how data generated from devices can be used to make decisions.

8.Computer Architecture from Princeton University

In this course, you will learn to design the computer architecture of complex modern microprocessors.All the features of this course are available for free

9.Software Defined Networking from Princeton University

In this course, you will learn about software defined networking and how it is changing the way communications networks are managed, maintained, and secured.

10.Machine Learning from Georgia Institute of Technology

Machine Learning is a graduate-level course covering the area of Artificial Intelligence concerned with computer programs that modify and improve their performance through experiences.

The first part of the course covers Supervised Learning, a machine learning task that makes it possible for your phone to recognize your voice, your email to filter spam, and for computers to learn a bunch of other cool stuff.

In part two, you will learn about Unsupervised Learning. Ever wonder how Netflix can predict what movies you'll like? Or how Amazon knows what you want to buy before you do? Such answers can be found in this section!

Finally, can we program machines to learn like humans? This Reinforcement Learning section will teach you the algorithms for designing self-learning agents like us

11.Reinforcement Learning from Brown University

You should take this course if you have an interest in machine learning and the desire to engage with it from a theoretical perspective. Through a combination of classic papers and more recent work, you will explore automated decision-making from a computer-science perspective. You will examine efficient algorithms, where they exist, for single-agent and multi-agent planning as well as approaches to learning near-optimal decisions from experience. At the end of the course, you will replicate a result from a published paper in reinforcement learning.

12.Artificial Intelligence (AI) from Columbia University

What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common?

They are all complex real world problems being solved with applications of intelligence (AI).

This course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems.

You will learn about the history of AI, intelligent agents, state-space problem representations, uninformed and heuristic search, game playing, logical agents, and constraint satisfaction problems.

Hands on experience will be gained by building a basic search agent. Adversarial search will be explored through the creation of a game and an introduction to machine learning includes work on linear regression.

13.Machine Learning from Columbia University

Machine Learning is the basis for the most exciting careers in data analysis today. You’ll learn the models and methods and apply them to real world situations ranging from identifying trending news topics, to building recommendation engines, ranking sports teams and plotting the path of movie zombies.

Major perspectives covered include:

probabilistic versus non-probabilistic modeling
supervised versus unsupervised learning

Topics include: classification and regression, clustering methods, sequential models, matrix factorization, topic modeling and model selection.

14.Machine Learning for Data Science and Analytics from Columbia University

Machine Learning is a growing field that is used when searching the web, placing ads, credit scoring, stock trading and for many other applications.

This data science course is an introduction to machine learning and algorithms. You will develop a basic understanding of the principles of machine learning and derive practical solutions using predictive analytics. We will also examine why algorithms play an essential role in Big Data analysis.

15.Bitcoin and Cryptocurrency Technologies from Princeton University

After this course, you’ll know everything you need to be able to separate fact from fiction when reading claims about Bitcoin and other cryptocurrencies. You’ll have the conceptual foundations you need to engineer secure software that interacts with the Bitcoin network. And you’ll be able to integrate ideas from Bitcoin in your own projects.

Online Education Is Totally Worth The Effort!

Online courses and degree programs are more convenient and cheaper than their counterparts in traditional education. Those are the two main advantages of online learning that lead many students to opt for online platforms when they want to earn a degree or certificate.
The best thing about online learning is that you can learn in a relaxed manner even if you don’t want to get certified. You only need passion for learning and a quick online search that will take you to the right course. From that point on, you will be the master of your own education.

ALL THE BEST.......

top free online courses

TOP 10 DATA SCIENCE COURSES WITH CERTIFICATION IN 2020

TOP 10 DATA SCIENCE COURSES with CERTIFICATIOn IN 2020

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Get certified with AWS

1. AWS Foundations: How Amazon SageMaker Can Help

2. AWS Foundations: Machine Learning Basics

3. Machine Learning in the Cloud with AWS Batch

4. Exam Readiness: AWS Certified Machine Learning - Specialty

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7. CQ: The AWS Certification Quiz Show | Sydney Summit E06

8. CQ: The AWS Certification Quiz Show | Sydney Summit E02

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Learn basic concepts of business finance that help you calculate expenses and find out when you will make a profit. Explore using a spreadsheet to easily make necessary calculations.

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Find out how to assess and reduce energy use in your business to save money and protect the environment. Learn how to use spreadsheets to assess energy use and adjust your practices.

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An overview of the fundamentals in logistics designed for micro, small,and medium-sized enterprises who wantto export to new marketsegments overseas.LINK : https://www.asean-sme-academy.org/courses/basics-of-logistics-for-export/

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Online Education Is Totally Worth The Effort!

An overview of the fundamentals in logistics designed for micro, small,and medium-sized enterprises who wantto export to new marketsegments overseas.
LINK : https://www.asean-sme-academy.org/courses/basics-of-logistics-for-export/