Are data science podcasts worth your time?
Podcasts are a great way to learn on the go, gain broader industry knowledge, and hear from experts in the field. Whether you’re new to data, a seasoned professional, or just find the topic interesting—data science podcasts are a must-have for your digital library. So which data podcasts are worth your time?
What is the Data Skeptic podcast?
The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
What makes data stories different from other podcasts?
A key component of a data analyst’s work is storytelling through visualization—presenting insights in the form of graphs and charts, for example. While many podcasts focus on topics such as machine learning and AI, Data Stories is unique in that it focuses on data visualization.
How many people listen to podcasts?
Podcast listening on a computer went up from 29% to 31% (smartphone listening went from 71% to 69% respectively) 19% of listeners increase the speed (listen faster) 65% of monthly podcast listeners have been listening for less than 3 years. Comedy is the most popular podcasting genre, followed by education and news.
Can I self learn statistics?
Statistics is a whole field of study in itself, so if you think you can learn enough in one sitting then you are gravely mistaken, I am afraid. However, you don't need to be a trained mathematician to understand some pretty sophisticated statistical tools and method.
How can I learn statistics fast?
Know the Importance of Statistics. ... Learn the terms most often used in statistical analysis. ... Start applying them to everyday life. ... Learn about statistics from what people telling you and asking them questions. ... Find some software that will help you manipulate a given set of values.
What are good statistics for a podcast?
A podcast episode that has been live approximately 30 days averages 141 downloads. If you have over 3400 downloads you are in the top 10%. If you have over 9000 downloads you are in the top 5%. Lastly, if you have over 50,000 downloads per episode (again after having it live for 30 days) you are in the top 1%.
How can I learn statistics for free?
Top Free Online Courses in Statistics and Data AnalysisStatistics with R Specialisation by Coursera (Duke University) ... Intro to Statistics by Udacity (Stanford University) ... Statistical Learning by Stanford University. ... Introduction to R by Leada. ... Statistics: The Science of Decisions by Udacity (San Jose State University)More items...
Is statistics harder than calculus?
Statistics does tend to be harder than calculus, especially at the advanced levels. If you take a beginning statistics course, there will be very simple concepts that are rather easy to work out and solve.
Why are statistics so hard?
Why is statistics so hard? There are a lot of technical terms in statistics that may become overwhelming at times. It involves many mathematical concepts, so students who are not very good at maths may struggle. The formulas are also arithmetically complex, making them difficult to apply without errors.
Are podcasts still popular 2022?
Yes, podcasts are still popular in 2022. The number of active podcasts and podcast listeners is increasing daily. As of April 2021, there are a total number of 850,000 active podcasts with more than 48 million episodes in total.
How often do podcasts fail?
Less than 20% of the podcasts that have launched this year will make it to next year. Most podcasts fail. If you've launched a podcast or are thinking about launching one, you don't want to put in all that work just to see your experiment get canned in a few months.
How many listeners do you need to make money on a podcast?
You usually need a larger audience of at least 5K or 10K listeners per month to work with them. One of the largest ad networks is Midroll, another popular network is Authentic, and many of the podcast hosting companies have their own networks as well.
Which is the best website to learn statistics?
YouTube VideosS/NTutorial NameChannel Name1.Statistics for Data ScienceGreat Learning2.StatisticsfreeCodeCamp.org3.StatisticsKhan Academy4.Statistics Course for Data ScienceMarinStatsLectures-R Programming & Statistics6 more rows
Is it hard to learn statistics online?
It may be difficult at first, but it is just like learning a new language; once the basics are understood and practiced, it becomes much easier and almost second nature over time. Statistics does not deserve the bad reputation that it has been given because at its core, it is not a very difficult class.
Can you learn statistics online?
Online Statistics Courses and Programs edX offers both individual courses and advanced programs designed to help you learn about statistics in an engaging and effective online learning environment complete with video tutorials, quizzes and more.
How long does it take to learn statistics?
If you choose to learn statistics on your own and devote six to eight hours a day to your studies, you can become a master statistician in just a couple of months. However, if you decide to enroll in a college degree program, it will take anywhere from two to four years, depending on your degree.
How do I become good at statistics?
Study Tips for the Student of Basic StatisticsUse distributive practice rather than massed practice. ... Study in triads or quads of students at least once every week. ... Don't try to memorize formulas (A good instructor will never ask you to do this). ... Work as many and varied problems and exercises as you possibly can.More items...
How do you pass a statistics class?
How can I pass a statistics exam without studying?Pay really good attention in class.Attend every class lecture.Work through the in-class problems with your professor, aka, don't just watch and listen, actually put your pencil down on paper and work the problems with them.Do all your assigned homework problems.More items...
Why should I learn statistics?
To summarize, the five reasons to study statistics are to be able to effectively conduct research, to be able to read and evaluate journal articles, to further develop critical thinking and analytic skills, to act a an informed consumer, and to know when you need to hire outside statistical help.
EPHS Statistics – Chapter 9
Publisher: EPHS Department of Mathematics, Statistics and Computer Science
EPHS Statistics – Chapters 1 and 2
Publisher: EPHS Department of Mathematics, Statistics, and Computer Science
EPHS Statistics – Chapters 3 & 4
Publisher: EPHS Department of Mathematics, Statistics and Computer Science
EPHS Statistics – Chapter 6
Publisher: EPHS Department of Mathematics, Statistics and Computer Science
1. Planet Money
The Planet Money podcast delves into finance, how people make financial decisions and why they often make emotional decisions instead of ones that are driven by data. The podcast also examines how statistics are used in economics as well as in personal finance.
2. More or Less
More or Less is a podcast put on by BBC Radio. The episodes examine numbers reported by the media and whether or not they are reliable. Hosted by Tim Hartford, More or Less explores how the media comes to the numbers that it publishes and why people tend to believe that what they hear is true.
3. Data Skeptic
According to the Bureau of Labor Statistics, statisticians need to be creative at solving problems. A good podcast to listen to for inspiration and fresh ways of handling problems in statistics is Data Skeptic. This podcast examines data science, machine learning and artificial intelligence.
4. Freakonomics
Each episode of the Freakonomics podcast gets into a small issue or quirk within economics. The episode gets to the fine details of the issue. It has a lot of appeal for statisticians because it mostly focuses on numbers, with some theories and technical expertise added into each episode.
5. The Effective Statistician
The Effective Statistician podcast partners with an organization called Providing Statistical Insight to produce podcast episodes by statisticians for statisticians.
How many people listen to podcasts in the US?
37% (104 million) listened to a podcast in the last month – up from 32% in 2019 (Infinite Dial 20) 24% (68 million) listen to podcasts weekly – up from 22% in 2019 (Infinite Dial 20) 16 million people in the US are “avid podcast fans” (Nielsen Q1 2018)
How many podcasts were there at WWDC 2018?
To highlight the growth, Apple confirmed there were over 550,000 podcasts at WWDC 2018 in early June. An article published April 25, 2018, by FastCompany states there are: Over 525,000 active shows and over 18.5 million episodes.
Who is the data life podcast?
The Data Life Podcast is brought to you by data scientist Sanket Gupta, and shares real-world experiences of dealing with data and working with various data science tools. The topics covered are reminiscent of the kinds of topics you might find on a data science blog—except, of course, they’re in a handy audio format! You’ll find advice, such as how to transition to data science without a computer science background, discussions around various tools such as Pandas and Flask, and celebrations of industry leaders.
Who is the host of the Data Science Imposters podcast?
Launched in 2017, the Data Science Imposters podcast is still going strong today—and for good reason. Hosted by Antonio Borges, a tech all-rounder with experience in software engineering, data analytics, and business analysis, and Jordy Estevez, an engineer and project manager, Data Science Imposters covers pretty much anything and everything to do with data science, analytics, big data, and machine learning. We love this podcast because it’s so far-reaching; no matter what topic you’re interested in, Antonio and Jordy have likely discussed it—whether it’s AI, privacy, careers, climate change, criminology…the list goes on.
What is data story?
Data Stories. A key component of a data analyst’s work is storytelling through visualization—presenting insights in the form of graphs and charts, for example. While many podcasts focus on topics such as machine learning and AI, Data Stories is unique in that it focuses on data visualization.
Why are podcasts important?
Podcasts are a great way to learn on the go, gain broader industry knowledge, and hear from experts in the field. Whether you’re new to data, a seasoned professional, or just find the topic interesting—data science podcasts are a must-have for your digital library. So which data podcasts are worth your time?
What is the NDS podcast?
Through short, digestible episodes, the NDS podcast explores the skills you need to solve real-world data problems, and offers up practical tools and tips to help you advance your career. Answering questions like “Am I doing real data science work?” and covering topics such as job hunting, communication, and becoming a team lead, this is a must-listen for anyone looking to build a career in the field.
What is the story of storytelling with data?
Another podcast focusing on the fascinating world of data visualization, Storytelling With Data is ideal for anyone working (or aspiring to work) in the data industry , and who needs to get to grips with the art of visualization. Brought to you by bestselling author, speaker, and workshop guru Cole Nussbaumer Knaflic, Storytelling With Data takes you through practically every data viz topic you can possibly imagine—often with the help of expert guests. With episodes rarely going over an hour, you can easily fit this insight-packed podcast into your daily routine.
What is the Data Crunch podcast?
Over the course of fairly short episodes, the Data Crunch podcast presents discussions with various entrepreneurs and data experts about their experiences employing new technologies. The great thing about this show is that it’s accessible to a wide audience, despite covering some rather technical topics. It’s also pretty varied, covering everything from data and public health to social media and machine learning, to drones and AI—to name just a few. A definite must-listen if you’re passionate about all things data and tech.