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The Essentials of Public Speaking for a Career in Data Science | by Angelica Lo Duca | Aug, 2022

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Some tips on how to boost your public speaking skills as a data scientist

Photo by Kane Reinholdtsen on Unsplash

Data science is a relatively new field, and public speaking is an essential skill for anyone looking to build a career in this field. The ability to communicate complex data concepts clearly and effectively is essential for success in data science.

If you’re data-driven and looking to boost your career in science, public speaking is a great way to get noticed. But how exactly do you do that? We’ve got the essentials of public speaking for data science so you can make a splash at your next conference.

The content of this article has been inspired by the podcast episode at DataTalks.Club entitled The Essentials of Public Speaking for Career in Data Science with Ben Taylor, a Chief AI Strategist at DataRobot.

The article is organized as follows:

  • Setting up your mindset
  • Getting started
  • Organizing a talk
  • Top public speaking skills to acquire

There are many different ways to get involved with data science, but one of the most important is promoting AI, which involves trying to convince you that your company needs AI.

As a data scientist, you have the opportunity to be a powerful voice in the promotion of artificial intelligence and its potential to change the world. This means that you have a responsibility to educate others about what AI is and how it can be used for good. You can do this by writing blog posts, giving talks, or even just having conversations with people who are interested in learning more.

No matter what platform you use, your goal should be to provide accurate information about AI and its potential implications. It’s also important to be respectful of different perspectives and open to debate. After all, data science is still a young field and there is a lot that we don’t yet understand about its potential.

By engaging in promoting AI, you can help shape the future of this exciting field and ensure that it is used for the benefit of all.

The most important thing you can do to become a great public speaker is to practice, practice, practice. The more you get up in front of an audience, the more comfortable you will become with speaking. Additionally, it is important to be well-prepared before each speaking engagement. Know your material inside and out, so that you can focus on delivering your message rather than worrying about what you are going to say next. Finally, remember that confidence is key. Radiate confidence and your audience will believe in you and your message.

More in detail, to become a great speaker, you should follow these steps:

  • Identify your niche. What is it about data science that you’re passionate about? What are you an expert in? Once you know your focus, start pitching your ideas to conferences. Keep your pitch short and sweet-you don’t want to overwhelm the organizers with too much information.
  • Practice. The more comfortable you are with your material, the better you’ll be able to engage with your audience. If possible, record yourself giving a talk and watch it back-this will help you identify any areas that need improvement.
  • Connect with people. The more genuine and enthusiastic you are, the more likely you are to make a lasting impression on your listeners. So go out there and show the world what data science is all about!
Image by Author

In addition, you should take care a lot about the audience feedback, because it’s a point of reference. You need to consult with the audience after the talk, to find out. You’re not going to make everyone happy. You’re always going to have some people that didn’t like the talk or they’ve got some criticism.

One of the most successful ways to organize a talk is by transforming it into a story. You can do that, by focusing on the following aspects:

  • Getting attention
  • Being remembered
  • Audience feedback

The following figure summarizes how to organize a talk:

Image by Author

Getting Attention

When it comes to giving a presentation or speech, the introduction is often the most important part. This is your chance to make a good first impression and set the tone for the rest of your talk.

When you start a talk, you have all the audience’s attention, but they are going to quickly decide if they’re going to pull out their phones, their laptops, or disengage.

Ben Taylor

One of the most important things that make the difference is the first impression. There are different ways to gain the audience’s attention, including but not limited to:

  • storytelling
  • humor
  • a personal story
  • an anecdote
  • something surprising

According to Ben Taylor, you should give them a reason to listen to you. A better approach, which is very difficult, is to jump into a story where the audience concludes that you are the hero of that story. This permits you to conquer the audience’s emotions.

There are a few key things to keep in mind when crafting your introduction:

  1. Make it short and sweet. The last thing you want to do is bore your audience with a long-winded intro. Get to the point and give them a taste of what’s to come.
  2. Be confident. It’s perfectly normal to be nervous before a big speech, but don’t let it show. Speak slowly and deliberately, and project confidence in your voice and body language.
  3. Hook them from the start. Start with a bang! Tell a joke, share an interesting fact, or ask a rhetorical question to engage your audience from the get-go.
  4. Set the stage. Give some brief background information on the topic of your talk so that everyone is on the same page.
  5. Tease what’s to come. whet your audience’s appetite by giving them a sneak peek of what’s in store for the rest of your presentation.

Being remembered

When you’re giving a presentation, you want to be remembered for your great ideas and insights, not for your nervous fidgeting or “um”s. Here are a few tips to help you make a lasting impression.

  1. Make eye contact: It sounds simple, but making eye contact with your audience is one of the best ways to establish a connection with them.
  2. Use body language: Your body language should convey confidence and ease. Avoid crossing your arms or legs, and try to keep your hands relaxed.
  3. Speak clearly: Be sure to enunciate your words and speak at a moderate pace. This will help ensure that your audience understands you and doesn’t get lost in trying to decipher what you’re saying.
  4. Smile: A genuine smile will make you seem approachable and likable — two qualities that will help make your presentation more successful.
  5. Be prepared: One of the best ways to boost your confidence is to be thoroughly prepared for your presentation. Know your material inside and out so that you can focus on delivering it effectively rather than worrying about what comes next.

Audience feedback

If someone from the audience asks you a question, it means that your presentation was successful. However, it may happen that you don’t know the answer to a certain question. In this case, Ben Taylor suggests not trying to answer, but instead, you can say, “does anyone else in the audience know the answer?” or “let’s talk about this after. I’d love to hear your perspective.” And then go on to the next question where you actually can answer it.

Before speaking at big conferences, you should start at local meetings, where you probably know the organizers. Sometimes, when you submit a talk proposal for a conference, you must also include a short video of a previous talk. If you don’t have a previous video, you can think to record one, and publish it on YouTube or similar websites.

According to Ben Taylor, your talk proposal should be creative as possible.

In addition, it should include:

  • A brief description of your talk
  • The main theme or topics that will be covered
  • Why do you think this would be a good fit for the conference?
  • Any supporting materials you have (e.g. slides, demos, etc.)

Writing a strong proposal is essential to getting your talk accepted. Take some time to review the conference’s call for proposals and make sure your proposal aligns with their themes and goals. If you have any questions, don’t hesitate to reach out to the conference organizers.

There are often many different topics to choose from, so it’s important to pick one that will be both informative and engaging. Here are some good topics to begin your talks on:

  • The current state of data science and where it’s headed
  • The importance of data science in today’s world
  • How data science can be used to solve real-world problems
  • Interesting case studies or examples of data science in action
  • Your own personal experiences with data science

There are a lot of important skills to acquire when seeking a career in data science, but public speaking is definitely one of the most important. Being able to effectively communicate your findings and insights is crucial in this field, and it takes practice to hone this skill. Here are a few tips to help you get started:

  • Know your audience. It’s important to tailor your message to those who will be listening. Consider their level of understanding and what you want them to take away from your presentation.
  • Be prepared. This may seem obvious, but it’s worth repeating. Make sure you know your material inside and out so that you can deliver a confident and polished presentation.
  • Use simple language. Data can be complex, but your presentation doesn’t need to be. Use clear and concise language that everyone can understand.
  • Engage your audience. Keep your audience engaged by using stories, examples, and humor (when appropriate). no one wants to listen to a boring lecture, so make sure you keep things interesting!
  • Practice, practice, practice! The more you practice, the better you’ll become at public speaking.
Image by Author

Congratulations! You have just learned the essentials of public speaking for a career in Data Science!

Public speaking is an essential skill for anyone in the field of data science. Data scientists are often called upon to present their findings to clients, managers, and other stakeholders. Being able to deliver a clear and concise presentation can make all the difference in whether or not your audience understands and buys into your work. If you’re looking to advance your career in data science, start by honing your public speaking skills.

The content of this article has been inspired by the podcast episode The Essentials of Public Speaking for Career in Data Science with Ben Taylor at DataTalks.Club.

The first version of this article was originally posted on DataTalks.Club.

While a data scientist’s job may vary depending on the industry, their responsibilities usually fall into one of three categories: Type A, Type B and Type C. In this article, we’ll explore the three main areas that data scientists should focus on.

In this article, we’ll explore the pros and cons of each option to help you make a decision for your organization.

Building a data team can be a challenge, but it’s definitely doable with careful planning and execution. In this article, we’ll explore some tips on how to build an effective data science team.

  • Kindra Hall — Stories That Stick: How Storytelling Can Captivate Customers, Influence Audiences, and Transform Your Business
  • Al Ramadan, Dave Peterson, Christopher Lochhead, Kevin Maney — Play Bigger: How Rebels and Innovators Create New Categories and Dominate Markets


Some tips on how to boost your public speaking skills as a data scientist

Photo by Kane Reinholdtsen on Unsplash

Data science is a relatively new field, and public speaking is an essential skill for anyone looking to build a career in this field. The ability to communicate complex data concepts clearly and effectively is essential for success in data science.

If you’re data-driven and looking to boost your career in science, public speaking is a great way to get noticed. But how exactly do you do that? We’ve got the essentials of public speaking for data science so you can make a splash at your next conference.

The content of this article has been inspired by the podcast episode at DataTalks.Club entitled The Essentials of Public Speaking for Career in Data Science with Ben Taylor, a Chief AI Strategist at DataRobot.

The article is organized as follows:

  • Setting up your mindset
  • Getting started
  • Organizing a talk
  • Top public speaking skills to acquire

There are many different ways to get involved with data science, but one of the most important is promoting AI, which involves trying to convince you that your company needs AI.

As a data scientist, you have the opportunity to be a powerful voice in the promotion of artificial intelligence and its potential to change the world. This means that you have a responsibility to educate others about what AI is and how it can be used for good. You can do this by writing blog posts, giving talks, or even just having conversations with people who are interested in learning more.

No matter what platform you use, your goal should be to provide accurate information about AI and its potential implications. It’s also important to be respectful of different perspectives and open to debate. After all, data science is still a young field and there is a lot that we don’t yet understand about its potential.

By engaging in promoting AI, you can help shape the future of this exciting field and ensure that it is used for the benefit of all.

The most important thing you can do to become a great public speaker is to practice, practice, practice. The more you get up in front of an audience, the more comfortable you will become with speaking. Additionally, it is important to be well-prepared before each speaking engagement. Know your material inside and out, so that you can focus on delivering your message rather than worrying about what you are going to say next. Finally, remember that confidence is key. Radiate confidence and your audience will believe in you and your message.

More in detail, to become a great speaker, you should follow these steps:

  • Identify your niche. What is it about data science that you’re passionate about? What are you an expert in? Once you know your focus, start pitching your ideas to conferences. Keep your pitch short and sweet-you don’t want to overwhelm the organizers with too much information.
  • Practice. The more comfortable you are with your material, the better you’ll be able to engage with your audience. If possible, record yourself giving a talk and watch it back-this will help you identify any areas that need improvement.
  • Connect with people. The more genuine and enthusiastic you are, the more likely you are to make a lasting impression on your listeners. So go out there and show the world what data science is all about!
Image by Author

In addition, you should take care a lot about the audience feedback, because it’s a point of reference. You need to consult with the audience after the talk, to find out. You’re not going to make everyone happy. You’re always going to have some people that didn’t like the talk or they’ve got some criticism.

One of the most successful ways to organize a talk is by transforming it into a story. You can do that, by focusing on the following aspects:

  • Getting attention
  • Being remembered
  • Audience feedback

The following figure summarizes how to organize a talk:

Image by Author

Getting Attention

When it comes to giving a presentation or speech, the introduction is often the most important part. This is your chance to make a good first impression and set the tone for the rest of your talk.

When you start a talk, you have all the audience’s attention, but they are going to quickly decide if they’re going to pull out their phones, their laptops, or disengage.

Ben Taylor

One of the most important things that make the difference is the first impression. There are different ways to gain the audience’s attention, including but not limited to:

  • storytelling
  • humor
  • a personal story
  • an anecdote
  • something surprising

According to Ben Taylor, you should give them a reason to listen to you. A better approach, which is very difficult, is to jump into a story where the audience concludes that you are the hero of that story. This permits you to conquer the audience’s emotions.

There are a few key things to keep in mind when crafting your introduction:

  1. Make it short and sweet. The last thing you want to do is bore your audience with a long-winded intro. Get to the point and give them a taste of what’s to come.
  2. Be confident. It’s perfectly normal to be nervous before a big speech, but don’t let it show. Speak slowly and deliberately, and project confidence in your voice and body language.
  3. Hook them from the start. Start with a bang! Tell a joke, share an interesting fact, or ask a rhetorical question to engage your audience from the get-go.
  4. Set the stage. Give some brief background information on the topic of your talk so that everyone is on the same page.
  5. Tease what’s to come. whet your audience’s appetite by giving them a sneak peek of what’s in store for the rest of your presentation.

Being remembered

When you’re giving a presentation, you want to be remembered for your great ideas and insights, not for your nervous fidgeting or “um”s. Here are a few tips to help you make a lasting impression.

  1. Make eye contact: It sounds simple, but making eye contact with your audience is one of the best ways to establish a connection with them.
  2. Use body language: Your body language should convey confidence and ease. Avoid crossing your arms or legs, and try to keep your hands relaxed.
  3. Speak clearly: Be sure to enunciate your words and speak at a moderate pace. This will help ensure that your audience understands you and doesn’t get lost in trying to decipher what you’re saying.
  4. Smile: A genuine smile will make you seem approachable and likable — two qualities that will help make your presentation more successful.
  5. Be prepared: One of the best ways to boost your confidence is to be thoroughly prepared for your presentation. Know your material inside and out so that you can focus on delivering it effectively rather than worrying about what comes next.

Audience feedback

If someone from the audience asks you a question, it means that your presentation was successful. However, it may happen that you don’t know the answer to a certain question. In this case, Ben Taylor suggests not trying to answer, but instead, you can say, “does anyone else in the audience know the answer?” or “let’s talk about this after. I’d love to hear your perspective.” And then go on to the next question where you actually can answer it.

Before speaking at big conferences, you should start at local meetings, where you probably know the organizers. Sometimes, when you submit a talk proposal for a conference, you must also include a short video of a previous talk. If you don’t have a previous video, you can think to record one, and publish it on YouTube or similar websites.

According to Ben Taylor, your talk proposal should be creative as possible.

In addition, it should include:

  • A brief description of your talk
  • The main theme or topics that will be covered
  • Why do you think this would be a good fit for the conference?
  • Any supporting materials you have (e.g. slides, demos, etc.)

Writing a strong proposal is essential to getting your talk accepted. Take some time to review the conference’s call for proposals and make sure your proposal aligns with their themes and goals. If you have any questions, don’t hesitate to reach out to the conference organizers.

There are often many different topics to choose from, so it’s important to pick one that will be both informative and engaging. Here are some good topics to begin your talks on:

  • The current state of data science and where it’s headed
  • The importance of data science in today’s world
  • How data science can be used to solve real-world problems
  • Interesting case studies or examples of data science in action
  • Your own personal experiences with data science

There are a lot of important skills to acquire when seeking a career in data science, but public speaking is definitely one of the most important. Being able to effectively communicate your findings and insights is crucial in this field, and it takes practice to hone this skill. Here are a few tips to help you get started:

  • Know your audience. It’s important to tailor your message to those who will be listening. Consider their level of understanding and what you want them to take away from your presentation.
  • Be prepared. This may seem obvious, but it’s worth repeating. Make sure you know your material inside and out so that you can deliver a confident and polished presentation.
  • Use simple language. Data can be complex, but your presentation doesn’t need to be. Use clear and concise language that everyone can understand.
  • Engage your audience. Keep your audience engaged by using stories, examples, and humor (when appropriate). no one wants to listen to a boring lecture, so make sure you keep things interesting!
  • Practice, practice, practice! The more you practice, the better you’ll become at public speaking.
Image by Author

Congratulations! You have just learned the essentials of public speaking for a career in Data Science!

Public speaking is an essential skill for anyone in the field of data science. Data scientists are often called upon to present their findings to clients, managers, and other stakeholders. Being able to deliver a clear and concise presentation can make all the difference in whether or not your audience understands and buys into your work. If you’re looking to advance your career in data science, start by honing your public speaking skills.

The content of this article has been inspired by the podcast episode The Essentials of Public Speaking for Career in Data Science with Ben Taylor at DataTalks.Club.

The first version of this article was originally posted on DataTalks.Club.

While a data scientist’s job may vary depending on the industry, their responsibilities usually fall into one of three categories: Type A, Type B and Type C. In this article, we’ll explore the three main areas that data scientists should focus on.

In this article, we’ll explore the pros and cons of each option to help you make a decision for your organization.

Building a data team can be a challenge, but it’s definitely doable with careful planning and execution. In this article, we’ll explore some tips on how to build an effective data science team.

  • Kindra Hall — Stories That Stick: How Storytelling Can Captivate Customers, Influence Audiences, and Transform Your Business
  • Al Ramadan, Dave Peterson, Christopher Lochhead, Kevin Maney — Play Bigger: How Rebels and Innovators Create New Categories and Dominate Markets

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