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AICTE offers 100 Free Online courses during Lockdown Period

Online courses


AICTE is now offering 100 online courses for free on its ELIS (Enhancement in Learning with Improvement in Skills) portal. Last Date to register for these courses is May 31, 2020. The portal was launched earlier month with 49 free courses. 

These courses are offered by edtech companies which would cost INR 5000 to INR 20000 is now offered for free to enhance students skill during pandemic period. 

Some of the best courses are Virtual Robotics Toolkit, Diploma in Machine Learning with R Studio, Digital Marketing, AI/ML Internship, Integrated Learning and Educational Program, Online Internship in Financial Analysis Basics, Online Internship in Investment Analysis Skills, etc. 

This courses are offered by respective companies and are not vetted by AICTE. You can visit the website in order to learn new skills -  Click Here
 
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CloudXLab: Machine Learning and Deep Learning Certificate Program

NameMachine Learning and Deep Learning Certificate Program
Course Provider    CloudxLab
Type Certification
Courses3
Duration180 Days; 240 Days
Avg. Rating5
PriceINR 5999; INR 6999
Coupon CodeFR25
ApplyClick Here

Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Amazon recommends you products or how Google search gives you such an accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?

Machine learning is behind these innovations. In the recent times, it has been proven that machine learning and deep learning approach to solving a problem gives far better accuracy than other approaches. This has led to a Tsunami in the area of Machine Learning.

Most of the domains that were considered specializations are now being merged into Machine Learning. This has happened because of the following:

  • Better research and algorithms
  • Better computing resources
  • Distributed computing infrastructures
  • Availablity of Big Data

Every domain of computing such as data analysis, software engineering, and artificial intelligence is going to be impacted by Machine Learning. Therefore, every engineer, researcher, manager or scientist would be expected to know Machine Learning.

So naturally, you are excited about Machine learning and would love to dive into it. This specialization is designed for those who want to gain hands-on experience in solving real-life problems using machine learning and deep learning. After finishing this specialization, you will find creative ways to apply your learnings to your work. For example

  • You would like to build a robot which can recognize faces or change the path after discovering obstacles on the path.
  • Or maybe you would like to unearth hidden gems (like predicting next year revenue or fraudulent transactions or building a recommendation engine etc) in your company's tons of data(logs, financial records, HR reports or e-commerce transactions reports).

Projects

1. Analyze Emails

Churn the mail activity from various individuals in an open source project development team.

2. Predict the median housing prices in California

We start Machine Learning course with this end-to-end project. Learn various data manipulation, visualization and cleaning techniques using various libraries of Python like Pandas, Scikit-Learn and Matplotlib.

3. Classify handwritten digits in MNIST dataset

The MNIST dataset is considered as "Hello World!" of Machine Learning. Write your first classification logic. Starting with Binary Classification learn Multiclass, Multilabel, Multi-output classification and different error analysis techniques.

4. Noise removal from the images

Build a model that takes a noisy image as an input and outputs the clean image.

5. Predict the class of flower in IRIS dataset

IRIS dataset contains 3 classes of 50 instances each, where each class refers to a type of iris plant. The three classes in this dataset are Setosa, Versicolor, and Verginica. Learn Decision Trees, CART algorithm and Ensemble method. Then use Random Forest classifier to make predictions.

6. Predict which passengers survived in the Titanic shipwreck

The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. In this project, you build a model to predict which passengers survived the tragedy.

7. Predict bikes rental demand

Build a model to predict the bikes demand given the past data.

8. Build a spam classifier

Build a model to classify email as spam or ham. First, download examples of spam and ham from Apache SpamAssassin’s public datasets and then train a model to classify email.

9. Deploy machine learning models to production

Train and deploy your Machine Learning model to production using Flask and REST API

10. Build cats classifier using neural network

In this project, you will build a basic neural network to classify if a given image is of cat or not.

11. Classify large images using Inception v3

Download images of various animals and then download the latest pretrained Inception v3 model. Run the model to classify downloaded images and display the top five predictions for each image, along with the estimated probability.

12. Classify clothes using TensorFlow

Build a model to classify clothes into various categories in Fashion MNIST dataset.

13. Predict the hourly rain gauge total

This is a time series prediction task: you are given snapshots of polarimetric radar values and asked to predict the hourly rain gauge total.

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CloudxLab Data Science Certification Program

NameData Science Certification Program
Course Provider    CloudxLab
Type Certification
Courses5
Duration270 Days; 330 Days
Avg. Rating5
PriceINR 8999; INR 9999
Coupon CodeFR25
ApplyClick Here

This consists of 5 courses (Big Data with Hadoop, Big Data with Spark, Python, Machine Learning, and Deep Learning). 

Additionally, this course comes with their exclusive lab access to gain the much needed hands-on experience to solve the real-world problems.

Upon successfully completing the course, person will get the certificate from E&ICT, IIT Roorkee which he can use for progressing in your career and finding better opportunities.

Projects

1. Analyze Emails

Churn the mail activity from various individuals in an open source project development team.

2. Predict the median housing prices in California

We start Machine Learning course with this end-to-end project. Learn various data manipulation, visualization and cleaning techniques using various libraries of Python like Pandas, Scikit-Learn and Matplotlib.

3. Classify handwritten digits in MNIST dataset

The MNIST dataset is considered as "Hello World!" of Machine Learning. Write your first classification logic. Starting with Binary Classification learn Multiclass, Multilabel, Multi-output classification and different error analysis techniques.

4. Noise removal from the images

Build a model that takes a noisy image as an input and outputs the clean image.

5. Predict the class of flower in IRIS dataset

IRIS dataset contains 3 classes of 50 instances each, where each class refers to a type of iris plant. The three classes in this dataset are Setosa, Versicolor, and Verginica. Learn Decision Trees, CART algorithm and Ensemble method. Then use Random Forest classifier to make predictions.

6. Predict which passengers survived in the Titanic shipwreck

The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. In this project, you build a model to predict which passengers survived the tragedy.

7. Predict bikes rental demand

Build a model to predict the bikes demand given the past data.

8. Build a spam classifier

Build a model to classify email as spam or ham. First, download examples of spam and ham from Apache SpamAssassin’s public datasets and then train a model to classify email.

9. Build cats classifier using neural network

In this project, you will build a basic neural network to classify if a given image is of cat or not.

10. Classify large images using Inception v3

Download images of various animals and then download the latest pretrained Inception v3 model. Run the model to classify downloaded images and display the top five predictions for each image, along with the estimated probability.

11. Classify clothes using TensorFlow

Build a model to classify clothes into various categories in Fashion MNIST dataset.

12. Predict the hourly rain gauge total

This is a time series prediction task: you are given snapshots of polarimetric radar values and asked to predict the hourly rain gauge total.

13. Sentiment analysis

Sentiment analysis of "Iron Man 3" movie using Hive and visualizing the sentiment data using BI tools such as Tableau

14. Process the NSE

Process the NSE (National Stock Exchange) data using Hive for various insights

15. MovieLens Project

Analyze MovieLens data using Hive

16. Spark MLlib

Generate movie recommendations using Spark MLlib

17. Spark GraphX

Derive the importance of various handles at Twitter using Spark GraphX

18. Churn the logs

Churn the logs of NASA Kennedy Space Center WWW server using Spark to find out useful business and devops metrics

19. Spark application

Write end-to-end Spark application starting from writing code on your local machine to deploying to the cluster

20. Analytics Dashboard

Real-time analytics dashboard for an e-commerce company using Apache Spark, Kafka, Spark Streaming, Node.js, Socket.IO and Highcharts


FAQs

Question: What things do i need to fulfill to claim the certificate for Data Science Specialization?

Answer: You need to complete at least 60% of the topics from the course. You also need to complete projects - Analyse emails from Python, Sentiment Analysis (Hive) from Hadoop, Log Parsing from Spark, any 3 projects from Machine Learning and any 2 projects from Deep Learning. All the above requirements need to be met within 330 days from the course enrollment date to be eligible for the certificate.

Question: What are the prerequisites and requirements for this course?

Answer: This course is for engineers, product managers and anyone who wants to learn. We will cover foundations of linear algebra, calculus and statistical inference where ever required so that you can learn the concepts effectively.

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50+ Brand Manager Courses (2020) - Learn Online Free Courses


Learn Brand Management with free online courses and MOOCs from SWAYAM, Coursera, Udemy and other top universities around the world. Read average ratings to decide if a class is right for you.

Brand Management

SWAYAM

Certification, 5 Week Duration, 5 Modules, Self Paced

4.5 ratings

Brand Management: Aligning Business, Brand and Behaviour

Coursera, London Business School

Certification, 21 Hours Duration, 4 Modules, Self Paced

4.9 ratings

Brand and Product Management

Coursera, ie Business School

Certification, 13 Hours Duration, 6 Modules, Self Paced

4.7 ratings

Strategic Brand Management

Edx, Curtin University

Certification, 12 Weeks Duration, 10 Modules, Self Paced

4.7 ratings

Brand Management: Build Successful Long Lasting Brands

Udemy

Certification, 2.5 Hours Duration, 4 Modules, Self Paced

4.2 ratings

Introduction to Personal Branding

Coursera, University of Virginia

Certification, 6 Hours Duration, 5 Modules, Self Paced

4.3 ratings

The Secret Power of Brands

Futurelearn, University of East Anglia

Certification, 6 Week Duration, 6 Modules, Self Paced

4.3 ratings

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Interview Questions For Content Writers

If you are planning to appear in a content writer interview, we have listed out the interview questions which an employer ask to budding content writers


Q. How will you make your content SEO Friendly?

Thought - In this question interviewer judges your knowledge for the SEO part. He will not expect you to have complete knowledge but basic understanding of seo and google algorithms is required. 

Ans 
  • Keyword density - how many times a keyword is appearing in the article. Average density is 3%. 
  • Meta tags and keywords - This will help in search results. This is not a content part.
  • Headings - h1, h2, h3, h4, h5. Every heading has its own significance. 
  • Alt Text - Images must have alt text.
  • Url - URL should have major keyword. Small urls are majorly preferred. 
  • Linking - There are two type of links internal and external. Internal links means linking within website and external linking is your website have other website's link. 

Q. What are the major components of Good Content?

Thought - There are many aspects of good content. But there are some essential key components which every content writer must be aware of.

Ans. 
  • Relevance - How much the information written in the article is relevant for the user. Now google also included relevancy in core update.
  • User Engagement - User engagement is one of major key matrix of good content. If a user is engaging in any way like comments, share, lead form filling or other then this will help you to keep track of how you will update your article.
  • Originality - Google penalises plagiarised content. Therefore you must write the original tone only. 
  • Credibility - Using relevant source of information for creating article will always have good impact on the search results.

Q. How you will decide the next topic to write on?

Thought - Through this employer will judge you how will you strategize content 

Ans. By analysing user engagement or by doing keyword research. In this I can use Google results for associated keywords and google trends for new trends on which article can be written. 


Q. How do you ensure the credibility of content?

Thought - This checks your aptitude towards content writing.

Ans. I always check the relevant news websites and official websites before writing the article. 


Q. Are you familiar with any Content Management System?

Thought - Content Management System is the backend where you will be writing your article. Having previous knowledge about CMS will help you while writing the content. 

Ans. Yes I have worked on cms like wordpress, joomla or magento.

Q. How will you check Performance of your Content?

Thought- Through this employer wants to know about the analysis part.

Ans. This will be checked through the traffic coming on that page. Or social shares on Facebook and Twitter.  This can also be checked through ranking of article on google page search results. 

Q. How will you promote your content?

Thought - Through this your employer will check your efforts on sharing the content and outreaching it to audience.

Ans. I can share the article over social media. Also tell my friends to do the same thing. Also I will ask feedback from colleagues and friend over the article. 

Q. Difference between Blog and Article?
Ans. Article is written in some format issued by the company or by the orgainsation. it will include facts and figures. Blog represents informal way of writing in which your opinion matters.

Q. Which Books are your reading currently?

Thought - Content writers are avid readers also. In this question you have to tell about things like books or blogs you are reading currently.

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100+ Content Writing Courses (2020) - Online, Diploma, Certificates, Free, Paid

Check out the list of all the content writing courses provided by institutes and MOOCs from all over the world. 

Ultimate Web Content Writing Masterclass+Power words eBook

Udemy

Certification, 4.5 Hours Duration, 9 Modules, Self Paced

4.4 Ratings

Diploma in Creative Writing

IGNOU

Diploma, 1 Year Duration, 5 Modules

4.9 Ratings

Diploma in Creative Writing

Symbosis Distance

Diploma, 1 Year Duration, (NA) Modules

4.8 Ratings

Content Marketing Certification Course

Hubspot Academy

Certification, 4 Hours Duration, 4 Modules

4 Ratings

The Strategy of Content Marketing

Coursera, UC Davis University Of California

Certification, 20 Hours Duration, 5 Modules

4.5 Ratings

High-Impact Business Writing

Coursera, University Of California

Certification, 5 Hours Duration, 5 Modules

4.3 Ratings

Ninja Writing: The Four Levels Of Writing Mastery

Udemy

Certification, 4 Hours Duration, 6 Modules, Self Paced

4.4 Ratings

Writing Tools & Hacks: Copywriting/Blogging/Content Writing

Udemy

Certification, 1.5 Hours Duration, 9 Modules, Self Paced

4.2 Ratings

Writing with Flair: How to become an exceptional Writer

Udemy

Certification, 7 Hours Duration, 6 Modules, Self Paced

4.4 Ratings

Free Online Creative Writing Courses Bundle

Skillshare

Certification, Self Paced

4 Ratings

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11 Must Read Content Writing Tips for Beginners

If you are budding content writer and just have began your career as content writer then we have just few tips for you. This could help you in your everlasting career growth also. 

Basic Tips

  • Read and Read More - We know you have this question as content writer you have to write and write more. But if you are good reader, you can infuse more powerful thoughts as compared other writers.
  • Improve Networking - For this you can attend various seminars or workshops related to new trends. Also you can connect through social media and blogging meets also. This will help you to increase your relevance in market.
  • Keep Your Research Strong - If you are a digital content creator your googling power will sustain you for long. If you know what to research and what to include in your articles your major task will become easy. 
  • Social Branding - Being present on social media is becoming more useful now a days. Social Media sites like Facebook, Twitter, Linkedin, Instagram gives your followers a perspective of your writing.     
  • Keep Evolving - Just don't write in single niche, try new kind of content like video creating or instruction creation. Be prepared for every kind of challenges in career.  

Content Tips

  • Write a Good Heading - User will be attracted through your heading. If your heading is not catchy then no matter how much your article is good reader will not come to your article.
  • First Paragraph - Second thing user see after the heading is first para or first two -three lines. This can be make or break situation for you. if you have provided relevant info in the beginning of article then user will read next information else he will just go back to google for searching again.
  • Using Tables and Images -  Using tables and images can save you in various situations. Using tables for data representation or using images and graphs adds value to your content as reader thinks you have provided some data to him. This is also a good SEO technique which various SEO Experts rely upon. 
  • Don't write passive sentences - passive sentences actually creates difficulty for user while reading. Active sentences are shorter and can be read easily. To check how much of passive sentences are there in your article you can use hemingwayapp. 

Pro Tips

  • Know HTML - Every content writer must be aware about HTML tags, at least basic ones. Why? You can be creating your own content on blogger or wordpress and you need to change designing or for basic editing where html knowledge is required. Then what will you do? Therefore for every content writer we must suggest to learn html language. 
  • SEO Knowledge - What are keywords? What will drive traffic to your article? Is or article good enough to rank on google. For this you have SEO knowledge. You can increase you knowledge through various sites like moz, search engine journal, etc. Also you can go for various courses for SEO writing. 
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