Rock & Roll Hall of Fame's class of 2026 includes Phil Collins, Oasis and Sade



Phil Collins, who is already in the Rock & Roll Hall of Fame as a member of the prog rock group Genesis, had a string of hits in the 1980s that turned him into one of the most successful acts of the decade. This fall, he will be inducted into the Rock Hall for his solo career.
Phil Collins, who is already in the Rock & Roll Hall of Fame as a member of the prog rock group Genesis, had a string of hits in the 1980s that turned him into one of the most successful acts of the decade. This fall, he will be inducted into the Rock Hall for his solo career.
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The Rock & Roll Hall of Fame announced its 2026 class of inductees on Monday night, a list of eight performers that includes an R&B legend, a heavy metal band and a drummer-turned-frontman whose music dominated mainstream pop-rock in the 1980s.

In recent years, the Rock Hall has expanded its definition of rock icons to include artists from a wider range of genres and backgrounds. The basic rules for induction have remained the same, though:

Artists become eligible for nomination 25 years after the release of their first commercial recording (in other words, artists whose debuts came out in 2001 are newly eligible this year). There are four different categories of inductees:

  • Performers whose music and cultural impact has changed the course of rock and roll.

  • Influential musicians whose innovative styles have propelled cultural change, which this year includes key innovative voices in African and Latin music.

  • A "musical excellence" award designated for writers, producers and session musicians who have played a key role in rock history.

  • The Ahmet Ertegun award, honoring industry professionals who are not performers but have made a significant impact on the business of music.

The official induction ceremony will take place on Nov. 14 at the Peacock Theater in Los Angeles. It will be streamed on ABC and Disney+ in December.

Performer Category

Phil Collins
Even though he was inducted into the Rock Hall as a member of Genesis in 2010, it was Collins' solo career, especially a string of hits in the 1980s, that helped turn him into one of the most commercially successful artists of that decade. The drummer-turned-singer is widely known for popularizing the "gated snare" recording technique — which cut off the lingering reverb from the drums — and resulted in an explosive sound that became a signature sound of the era. Collins' career spans over five decades and has earned him a long list of accolades, including an Academy Award for best original song in 2000 for "You'll Be In My Heart" from Disney's Tarzan.

Billy Idol
The British rocker Billy Idol enters the Rock Hall on his second nomination. Known for hits like "Dancing with Myself," "Rebel Yell" and "White Wedding," the bleach-blonde singer's punk rock attitude continues to reach fans around the world more than four decades since the release of his debut solo album.

Iron Maiden
Heavy metal fans rejoice! Iron Maiden is finally being inducted into the Rock Hall on its third nomination. Since the 1980s, the band has been redefining heavy rock with anthemic storytelling, full-throttle instrumentation and spooky iconography. Different iterations of the band's mascot, Eddie, have appeared on Iron Maiden's album covers and merch for decades, becoming a key fixture of a particular strain of teen rebellion.

Joy Division/New Order
After three nominations, Joy Division and New Order are entering the Rock Hall under a joint induction, recognizing the link between the groups. Both bands featured guitarist Bernard Sumner, bassist Peter Hook and drummer Stephen Morris, who were forced to reimagine their sound after the death of singer and songwriter Ian Curtis in 1980. Joy Division's moody post-punk sound, which featured the baritone vocals of Curtis, gave way to New Order's more electronic, dance-driven rhythms, which proved massively popular in the 1980s.

Oasis
Today is gonna be the day that Oasis gets into the Rock Hall. (Well, November 14 will be the actual day.) The Britpop group, led by brothers Liam and Noel Gallagher, has had a resurgence since their highly-anticipated reunion tour last year (which briefly broke Ticketmaster and had fans on both sides of the Atlantic crying their hearts out).

Sade
The English band named for lead vocalist Sade Adu changed the sonic landscape of the 1980s and '90s with its blend of jazz, soul and R&B. The velvety, intimate quality of Sade's music echoes across generations of artists, from Drake to Adele, and has now earned the group Rock Hall inductee status.

Luther Vandross
After starting his career as a background vocalist for stars including David Bowie, Roberta Flack, Stevie Wonder and many more, Luther Vandross became an R&B and soul legend under his own name, thanks to the sheer power of his voice beginning in the 1980s. (He was also a producer for A-listers like Whitney Houston, Aretha Franklin and Diana Ross.) With over a dozen studio albums, his influence has reached across generations to stars including Beyoncé, Alicia Keys and most recently, Kendrick Lamar, who named one of the biggest hits of 2025 after him. Vandross will be inducted after his first Rock Hall nomination.

Wu-Tang Clan
You can see the Rock Hall's effort to expand the definition of rock icons in past years particularly strongly when it comes to the hip-hop acts it inducts. At least one act from the genre — including the Notorious B.I.G., Missy Elliott, A Tribe Called Quest and Jay-Z — each year since 2020. Considering Wu-Tang Clan's collective and individual output, which spans more than 30 years and expanded the East Coast's mark on the genre with references to vintage kung-fu movies and dark humor, it's no wonder the Rock Hall is finally giving the Staten Island crew its long-deserved flowers.

Early Influence Award

Celia Cruz
The Cuban singer, widely known as The Queen of Salsa, becomes the first primarily Spanish-language artist to be inducted into the Rock Hall. After rising through the ranks of Havana's music scene in the 1950s, Cruz left her home country in exile and eventually landed in New York City, where she became one of the most prominent voices of the legendary salsa label, Fania Records.

Fela Kuti
At the end of the 1960s and into the '70s, the Nigerian singer and political activist helped create the Afrobeat genre by combining West African highlife with elements of jazz and funk. Known for his electrifying, unconventional live performances, the multi-instrumentalist is the Rock Hall's first African pop star.

Queen Latifah
Queen Latifah was only 19 years old when she released her debut album, All Hail the Queen, in 1989. Female empowerment has been at the forefront of her music and image since the beginning of her career. With songs like "Ladies First" and "U.N.I.T.Y.," Queen Latifah changed the landscape of male-dominated rap; alongside her music career, she has found arguably greater success as an actor.

MC Lyte
Another teenage pioneer in the world of hip-hop, the Brooklyn-raised rapper gained popularity with socially-conscious lyricism that tackled issues including street violence and drug addiction.

Gram Parsons
Gram Parsons played with The Byrds and helped spearhead the band's seminal country rock album Sweetheart of the Rodeo, which came out in 1968 — but he was technically considered a "sideman" and not a full member of the band. That's why Parsons was not inducted alongside his bandmates when The Byrds entered the Rock Hall in 1991. Now, the Americana visionary — who recorded a pair of celebrated and influential solo albums that featured duets with Emmylou Harris and also played with the Flying Burrito Brothers and the International Submarine Band — gets his due for melding folk, Southern twang and rock and roll before his death at the age of 26, in 1973.

Musical Excellence Award

Linda Creed
In the 1970s, Linda Creed wrote and produced love songs that would come to define the sound of Philadelphia soul, including the Stylistics' hits "Stop, Look, Listen (To Your Heart)" and "You Are Everything," both of which were later covered by Diana Ross and Marvin Gaye. After being diagnosed with cancer at age 26, Creed wrote the song "The Greatest Love of All." Whitney Houston's rendition of the song would go on to top Billboard's Hot 100 chart shortly after Creed's death in 1986.

Arif Mardin
Arif Mardin's producer credits span more than four decades and dozens of legendary collaborations, including with Aretha Franklin, the Bee Gees, John Prine and Norah Jones. Born in Turkey, Mardin started working at Atlantic Records in the early 1960s and eventually became an executive and one of the label's most reliable hitmakers.

Jimmy Miller
Jimmy Miller signed a recording contract as a singer before finding his true calling behind the console, particularly for his work with the Rolling Stones across five albums: Beggars Banquet, Let It Bleed, Sticky Fingers, Exile on Main St. and Goats Head Soup. Known for encouraging and harnessing a group's raw, live energy in recording sessions, the producer left an indelible mark on the sound of rock and roll in the 1960s and '70s.

Rick Rubin
Rick Rubin co-founded Def Jam Recordings while studying film and television at New York University. He went on to turn the label into a powerhouse of 1980s and '90s hip-hop, producing and releasing albums by acts including LL Cool J, Beastie Boys, Run-DMC and Public Enemy. He later founded the label American Recordings and served as co-president of Columbia Records. Since the founding of American Recordings, and particularly in his work with Johnny Cash, Rubin has become known for his skill in musical subtraction — paring down a recording to its essential elements.

Ahmet Ertegun Award

Ed Sullivan
He began his career as a sports journalist, but in 1948, Sullivan became the host of a television program — originally called Toast of the Town and later renamed The Ed Sullivan Show — that was welcomed into millions of people's living rooms every week. Sullivan's show widely introduced Americans to countless musicians, including Elvis Presley, The Jackson 5, The Supremes and, maybe most famously, The Beatles, whose first appearance on his show, in February 1964, was, at the time, one of the most-watched programs in history.

Copyright 2026, NPR



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1. What is Data Science?
2. What is Business Analytics?
3. Key Differences Between Data Science and Business Analytics
a.Basic Definition
b. Type of trends
c. Type of Data
d. Coding or Programming languages
e. Companies 
4. Data Science vs Business Analytics
Roles and Responsibilities
Career path
Skills required
Type of Data
5.Conclusion

The popularity of Data Science has increased rapidly in the past few years and continues to increase with every passing data. As the organisations continue to create massive amounts of data, the implementation of Data Science becomes an obvious scenario.

If any company wishes to grow along with enhancing its user satisfaction, Data Science is something they need. Data Science uses modern techniques and tools to draw insights from that data which helps in making effective business decisions. It also uses several complicated Machine Learning algorithms to form predictive models. 

Business Analytics is a practice used by companies to figure out what is happening in their business and how they can improve it. It helps in the overall decision making along with some future planning. 

Since every company today is producing chunks of data, they need some data-oriented methods to draw insights from their past and present data to understand their loopholes which in turn helps them make some strategies keeping the current market trends in mind. 

Now, when you know the basics of both Data Science and Business Analytics, it’s time to dive in deep and understand the main differences between the two popular terms.

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Key Differences Between Data Science and Business Analytics

There are several steps that are common in both like data gathering, data modelling, and drawing insights from that data. But, this is definitely not it, Data Science and Business Analytics are two big oceans that might meet somewhere, but are entirely different.  

Let’s have a look at the differences between the two in elaboration.

Basic Definition

Data Science as the name suggests is the science of data, i.e. study of data using several Machine Learning algorithms, statistical tools, and other technological support. It is a combination of diverse fields like programming skills, mathematical principles, analytical thinking, and domain expertise to draw insights from huge amounts of data.

Business Analytics focuses on the business data and uses several analytical tools to draw insights from that data eventually scaling the business. It is a data-driven approach that focuses on historical data, identifying trends from there, checking out if there is any pattern and if there was a problem, what is the root cause of that problem. 

Type of trends

Data Science focuses on all the trends and patterns leaving no page unturned to make an effective business model.Business Analytics revolves around the trends and patterns that reveal insights related to a particular business. 

Type of Data

Data Science focuses on all types of data structured, semi-structured and unstructured data. To understand that structured data is highly refined and everything is just in front of your eyes, unstructured data is all complicated with no clarity on the type of data. So, Data Science uses several tools and techniques to work on different types of data. Business Analytics is concerned with organisational data. It uses several data analytics tools and other statistical principles to explore the organisational data and have an effective decision-making process.

Coding or Programming Languages

Data Science requires some rigorous algorithmic coding, statistical tools, and other analytical work to draw insights from tons of data. Languages like R and Python are widely used in several Machine Learning algorithms. Also, when unstructured data is concerned, knowing a programming language is a must. Apart from R and Python, you can also choose to learn C, C++, Perl and Java.

Business Analytics requires minimum coding as it is mostly focused on drawing insights using several statistical methods. Even if there is something advanced to be done, you can use advanced statistical methods as mostly the data is concerned with a single problem. So, business analytics tools like Tableau and Splunk are enough to draw insights from the organisational data. 

Companies 

Data Science is used in several big sectors today like e-commerce, machine learning, design and manufacturing, and marketing and finance. Data Science helps companies to understand how they can use their data effectively, whether it is about taking important business decisions or hiring more employees or even keeping a check on the workflow. 

Business Analytics is used in industries like healthcare, marketing and finance, supply chain, and telecommunications. The biggest advantage of using business analytics is the reduction of risk as when the decisions are made using Business Analytics there are several factors covered like customer data, their preferences, market trends, the popularity of products etc, which may be missed otherwise. 

Now, when you know the difference between Data Science and Business Analytics, let’s distinguish between a Data Scientist and a Business Analyst.

Data Scientist vs Business Analyst

Data Science is way bigger than Business Analytics and considers several factors that Business Analytics doesn’t even think of. While Business Analytics just focuses on business-related issues, Data Science even digs into the influence of factors like weather, customer preference, and several seasonal factors.

Let’s understand the differences between the two on a professional level, i.e. the differences between a Data Scientist vs. a Business Analyst.

Roles and Responsibilities:

Roles and Responsibilities of a Data Scientist include extracting and organising data. They draw meaningful insights from that data which could be structured or unstructured. To do all of it, they must have good knowledge of Machine Learning, Statistics, Probability, and other mathematical skills. Furthermore, they must have a firm grip on concepts like Python, R, Spark, Hadoop, and Tensor flow.

The roles and responsibilities of a Business Analyst include communicating with clients and providing them with business solutions. They must have great interpersonal and management skills to assist clients in designing and implementing relevant technical solutions. Along with all the assistance, they are always on their A-game in monitoring the overall business growth.

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Career path – The future

No matter what the sector is, be it healthcare, finance, management or transportation, the data needs to be taken care of and insights must be taken from that data for that industrial segment to grow. So, to make sure this happens, companies are looking for experts and no doubt Data Scientist is one of those job roles that are in most demand today and are one of the highest paying jobs in the world. The demand for Data Scientists is not going to reduce anytime soon considering the rapid production of granular data across the globe. 

Business Analyst is one of those jobs that report a great level of work-life balance and job satisfaction. Again, it is one of those job roles that have a lot of openings in the market and one of the well-paid jobs too. Business Analysts are in great demand among organisations that are looking forward to scaling their businesses and improving their overall performance. The best part is the role of a Business Analyst is not limited to one designation, it changes from company to company. There are several roles that you can pursue if you have expertise in Business Analysis like Network Analyst, Project Manager, Data Analyst, and Business Consultant.

Skills required

Skills required to be a Data Scientist include: 

Python – Data Science requires a firm hold of programming languages. When it comes to programming in Data Science, Python is one of the most widely used programming languages as it is easy to use and highly adaptable, even for people without a coding background.

Keras – Keras is used for artificial neural networks as they provide a python interface. Hence, they are used when it comes to experimentation with neural nets, that too at a great speed. 

PyTorch – PyTorch is another deep learning framework extremely popular for its agility and compatibility with the Python framework. The framework simplifies the overall process to create an Artificial Neural Network (ANN). 

Computer Vision – Computer Vision enables the Data Science systems to extract knowledge from images and videos to make necessary decisions. 

Deep Learning – Deep Learning is something that makes the entire Data Science system more accurate as it enables the creation of extremely complex models.

Natural Language Processing – Natural Language Processing or NLP is something that is bridging the gap between Data Science and humans, by teaching computer systems how to read and interpret like humans. 

Problem-solving – Problem-solving just doesn’t refer to the problem that is in front of you, being a Data Scientist you are responsible for solving problems that may be hidden.

Analytical Thinking – Data Scientists must have an eye for detail and analyse problems before actually starting to deal with them. It is important to examine the problem from all verticals and then reach an effective conclusion. 

Skills required to be a Business Analyst include: 

Programming skills – Programming Skills are not a must for a Business Analyst, but having some is always a plus. For example – knowledge of R and Python can help you in a quick and effective analysis of data.  

Statistical analysis – Business Analysis requires a good knowledge of statistics and knowledge of different statistical methods to interpret real-world situations.  

Business Intelligence tools – Business Intelligence or BI tools enable you to understand different trends and insights from business data, which is important to make impactful decisions. 

Data mining – Data mining is one of the important skills of Business Analysis as it is about digging relevant information from chunks of data. So, companies use software to look for patterns and graphs in data and make relevant business decisions accordingly.

Analytical problem-solving – Business Analysts are about solving issues coming from customers or other stakeholders, so having the skill of analytically solving problems is a must. 

Data visualisation – To make any important and accurate business decisions, the first and foremost step is to visualise or examine data chunks to understand market trends and loopholes.

 Type of Data

Data Scientists work on both structured and unstructured data to fetch insights from huge chunks of data.

Business Analysts are just concerned about the structured data. They work on that data with several Business Intelligence tools to draw insights. 

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Conclusion

By now, you would be well versed with everything you need to distinguish between the two most popular terms today – Data Science and Business Analytics. You began with learning the basics of the two and once you knew their basics you went on to differentiate between them.

While we were checking the differences between Data Science and Business Analytics, we checked several parameters to differentiate them and saw how they are different in the current scenario. While one is more technical and broad, the other one is comparatively less technical but a lot business-oriented and comparatively more specific. 

You not only learned about the difference between the two huge concepts but also saw their differences on the professional level by finally distinguishing between a Data Scientist and a Business Analyst. In that segment you saw how one of them has to be proficient at coding and several statistical tools, after all, they operate on both structured and unstructured data, while the other one needs Business Intelligence tools to work on structured data and draw relevant business insights.

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