Best Free Data Science Courses for Beginners || Datacamp || techtalksgroup||

 

DataCamp is an online resource that was launched in 2013 and focuses on subjects like data science and analytics. There are more than 350 courses available, each taught by one of the 260+ knowledgeable instructors from Datacamp and other prestigious institutions like Duke University.

        So, DataCamp can be the ideal online platform for you if you're trying to develop or enhance your data skills. Its interactive classes are all created so you may learn at your own pace.

DataCamp is for whom ?

Let me give you a brief overview of what to expect from DataCamp. It is an online learning environment where you can study data skills at your own speed. Its four-part learning methodology—Assess, Learn, Practice, and Apply—helps students have a well-rounded educational experience.

DataCamp courses that are completely free:-

1) Introduction to Python: -

                                    A general-purpose programming language called Python is growing in popularity for data science. Python is being used by businesses all around the world to extract insights from their data and achieve a competitive advantage. This course, in contrast to previous Python tutorials, focuses on Python specifically for data science. You will discover effective methods for manipulating and storing data as well as useful data science tools to start doing your own analysis in our Introduction to Python course. Start learning Python immediately with DataCamp.

Course Link:- Introduction to Python

2) Introduction to SQL:-

                                    In this two-hour introduction to SQL, you will learn the theory and the practise through short films and hands-on activities that will let you put your newly acquired knowledge to use.

A variety of occupations in the data sector and beyond are accessible thanks to SQL, which is a crucial language for creating and maintaining relational databases. This course will begin with a discussion of data organisation, tables, and recommended practises for building databases.

                Two of the most widely used SQL variants are PostgreSQL and SQL Server. This course will come to a close with an examination of the distinctions, advantages, and practical uses of each. By the end of the course, you'll have gained some practical SQL knowledge and the foundation necessary to start using it on projects or continue your education in a more specialised area.

Course Link:- Introduction to SQL

3) Introduction to R:-

                                R is the most well-liked programming language in the data sector. It can handle AI, machine learning, financial analysis, and much more, and there is a significant demand for data scientists, analysts, and statisticians alike. The fundamentals of this open source language, such as vectors, factors, lists, and data frames, are covered in this introduction to R course. You'll learn practical coding techniques and be equipped to launch your own R data analysis project. Next, you'll discover how to use matrices in R, including how to build them and carry out calculations using them. You'll also look at how R stores categorical data using factors.  You'll investigate working with R data frames and lists in the last section. You will be able to apply the fundamentals of R for your own data analysis once you have finished our Introduction to R course. These in-demand abilities can help you advance in your work and pave the way for more education. This course is a component of multiple tracks, including R Programming, Data Analyst with R, and Data Scientist with R, all of which can aid in your knowledge growth.                         

Course Link:- Introduction to R

4) Understanding Machine Learning:-

                                        What is the excitement surrounding machine learning? You will discover everything about machine learning that you have been too frightened to ask in this non-technical session. No coding is necessary. You may learn how this innovative technology underpins everything from self-driving vehicles to your customised Amazon shopping recommendations through practical exercises that will help you cut through the technical language. What is the difference between AI and machine learning, when can you use it, and how does it operate? Each one is protected. Learn the skills needed in this very prominent and in-demand sector, and find out why machine learning is beneficial to everyone.

Course Link:- Understanding Machine Learning

5) Data Science for Everyone:-

                                What is data science, why is it so well-liked, and why was it dubbed the "sexiest job of the 21st century" by the Harvard Business Review? Without writing a single line of code, you will learn everything about this rapidly expanding and intriguing topic that you have ever been too frightened to ask in this non-technical course. You'll discover the various roles of a data scientist, the fundamentals of A/B testing, time series analysis, and machine learning, as well as how data scientists derive information and insights from actual data, through practical exercises. So don't let the trendy terms deter you. Start your education, develop your skills in this highly sought-after industry, and learn why data science is for everyone.

Course Link:- Data Science for Everyone

6) Data Engineering for Everyone:-

                                        You will learn about the fundamental duties of a data engineer, how they differ from data scientists, and how they help the flow of data within a company in this course. You'll follow Spotflix, a made-up music streaming service, to learn how their data engineers gather, clean, and classify their data through practical exercises. By the end of the course, you'll have a strong understanding of what data engineers perform at your company, be prepared to speak with one, and be ready to embark on your own journey as a data engineer.

Course Link:- Data Engineering for Everyone

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Upcoming Challenges for Cybersecurity Professionals in Cloud and IOT

 The potential of the Internet of Things (IoT) is almost limitless. The Internet of Things is poised to transform our society a safer and more comfortable one, from linked homes to connected automobiles 2014 to sensors monitoring traffic and natural disasters. But new dangers come along with this new generation of technology. Opportunities for hackers grow as more gadgets are connected to the cloud.

IoT Analytics' research predicts that in 2022 there will be 14.4 billion active endpoints and an 18% increase in IoT active connections. This comes after an 8% growth in 2021, when there were 12.2 billion active endpoints. Even though this increase is tremendous, the ongoing chip scarcity is impeding it.

Cloud computing is anticipated to rise by 20.4% in 2022, according to Gartner. Infrastructure, platforms, desktop-as-a-service, and the need to access to applications and data from any location are driving this continuous expansion.

IoT device proliferation and cloud computing lead to an exponential rise in cyber risk and cyberattack volume.

Organizations usually had a defined perimeter three years ago, including on-premise, cloud and hybrid, BYOD, and enterprise-governed devices. The network perimeter has vanished, employees are dispersed across many different locations, the majority of large businesses are multi-cloud, BYOD is still common, enterprise-governed devices are spread across numerous networks and millions of cloud applications, and credentials and secrets are spread out all over the place.

The Adoption-Security Paradox

A failure to protect passwords, credentials, and secrets—many of which are kept in code, on computers, and on sticky notes—is to blame for more than 80% of breaches. Employee passwords, credentials, and secrets are hidden on every device, application, and system, and there is no visibility, security, or control over them.

The paradox is that fewer employees prefer to utilise a system that is more secure. Their organisation is less secure the less they utilise it.

The Paradox's Resolution

Businesses want a cybersecurity platform that gives them complete visibility, security, and control over every user on every device within the company. By integrating enterprise performance management, secrets management, and privileged connection management across all devices, platforms, and services, such a platform offers zero-trust security and compliance.

Some of the highest-value targets for crooks are privileged credentials. Therefore, businesses require a cybersecurity platform that protects infrastructure secrets like API keys, database passwords, access keys, certificates, and any other private information.

By eliminating hard-coded credentials from source code, configuration files, and CI/CD pipelines, a secrets manager will safeguard the environment and get rid of secret sprawl. With role-based access controls, administrators may regulate access rights and permissions. Infrastructure, containers, and construction systems may all incorporate secrets. The platform will allow for secret aggregation, auditing, and the automated rotation of access keys, passwords, and certificates.

Through any web browser, a connection manager enables DevOps and IT to easily and securely access RDP, SSH, database, and Kubernetes endpoints. Any on-premises or cloud infrastructure may accommodate the installation of an agentless remote desktop gateway. Both on-premises and in the cloud, it ought to be simple to implement on the network.

Takeaways

Since more capable platforms will help reduce the need for at least some of the 75 security solutions the average firm now uses, the correct cybersecurity platform will also assist businesses in starting to address the security solution sprawl.

By implementing zero-trust remote access for their distributed workforces with granular visibility and control across all endpoints, organisations may strengthen security. The appropriate cybersecurity platform makes this possible.

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Top 10 Metaverse platforms that will eventually replace Social Media.

                                                                                   

 

The Metaverse is an aesthetically rich virtual environment with some realism in which individuals may work, play, shop, and interact.

It is a network of three-dimensional virtual environments centred on social interaction.

A virtual platform that allows developers to construct everything from virtual reality to augmented reality is known as a metaverse platform.

Metaverse is a technological segment that has gone a long way, thanks to investments from leading tech firms such as Meta Platforms, Microsoft, and Epic Games.

In compared to social media and other major products, the metaverse is considered a niche product.While it is hard to predict when the metaverse will replace social networks, it will undoubtedly provide unprecedented social and economical advantages. Here is a list of the top ten metaverse platforms that will eventually replace social media.

Decentraland: Decentraland is the metaverse's first blockchain-powered location. The Ethereum blockchain powers this virtual reality platform. It enables users to produce, interact with, and monetize content and apps.

Sandbox: The Sandbox is a virtual Metaverse where users may create, own, and sell their virtual experiences. The Sandbox blockchain gaming platform is made up of three interconnected products that work together to create a full user-generated content experience.

Axie Infinity: Axie Infinity is a blockchain-based gaming Metaverse in which users gather and breed digital creatures known as Axies, which can then be used to participate in a turn-based card game. Axie Infinity players gather and mint NFTs that symbolise axolotl-inspired digital pets known as Axies.

Bloktopia: Bloktopia is a Metaverse platform structured as a 21-story tower, where users may purchase specific floorplan areas using the site's cryptocurrency token, BLOK.

Zepeto: Before California-based internet behemoths like Meta Platforms Inc., now known as Facebook, Zepeto entered the metaverse sector. Zepeto, a South Korean metaverse platform, has received a $150 million investment from the Japanese multinational corporation Soft Bank.

Roblox: The Roblox metaverse is a developing phenomena in which real-life brands and trends inspire more businesses to use the Roblox platform. It is a metaverse platform in the Lego model where users may play games created by other players.

Nike: Nike Inc. is expanding their universe into the metaverse. Nikeland, a free-to-play virtual environment with games like dodgeball and floor-is-lava, is being developed in collaboration with video-game platform Roblox.

Gather: Gather is a video chat platform that aims to make virtual conversations seem more personal. Its mission is to provide opportunity and connection for everyone while also developing the Metaverse, a virtual overlay above the actual world where people may work, interact, and study.

BollyHeroes: The BollyHeroes NFT Project is pursuing a lofty idea of creating a parallel Bollywood Metaverse with real-world collaborators. The goal is to create a Bollyverse based on the characters created by the community.

Somnium Space: Somnium Space is a metaverse with a different goal. It allows users to participate via a downloaded VR client or a browser-based version that functions similarly to any other online app.

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