data science podcast for beginners

Best Data Science Podcasts

1. Linear Digressions. This weekly data science podcast is hosted by Katie Malone and Ben Jaffe. ...
2. O’Reilly Data Show. It is one of the most impressive data science podcasts available out there, led by an experienced data scientist, Ben Lorica.
3. SuperDataScience. ...
4. Data Skeptic. ...
5. Becoming a Data Scientist. ...
6. Partially Derivative. ...
7. Learning Machines 101. ...
8. TWiML&AI. ...

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Full Answer

What are the best data science podcasts?

• Data Skeptic
• Linear Digressions
• Partially Derivative - Episodes
• O'Reilly Data Show Podcast Archives
• Learning Machines 101: A Gentle Introduction to Artificial Intelligence and Machine Learning
• Human Conversation About Machine Learning
• Freakonomics Radio Archive
• FiveThirtyEight Podcasts | FiveThirtyEight
• The Big Data Hub

Why podcasts are great way to learn data science?

Data Skeptic is one of the best-known data science podcasts. This weekly show explores topics in data science, statistics, machine learning, and artificial intelligence. Hosted by Kyle Polich, the show is going strong with over 200 episodes for listeners to dive into. Recently, the show has released series of themed episodes that revolve around ...

What are the best science podcasts?

Xtalks, powered by Honeycomb Worldwide Inc., is a leading provider of educational webinars to the global life science, food and medical device community.

Are there good podcasts on data visualization?

Present Beyond Measure is a twice-monthly podcast located at the intersection of analytics, data visualization, and digital analytics. Hosted by Lea Pica, this series features interviews with respected names in analytics, data viz, and presentation experts in the field.

Is data science easy for beginners?

Like any other field, with proper guidance Data Science can become an easy field to learn about, and one can build a career in the field. However, as it is vast, it is easy for a beginner to get lost and lose sight, making the learning experience difficult and frustrating.

How do I start learning data science for beginners?

20:1430:42Step by step roadmap to learn data science in 6 months - YouTubeYouTubeStart of suggested clipEnd of suggested clipSo the the material is basically perfect for the beginners. As i have outlined here you want toMoreSo the the material is basically perfect for the beginners. As i have outlined here you want to spend one month in machine learning and doing at least one project i have more projects. Too like i have

Can I learn data science by myself?

You can learn data science on your own with online courses or even YouTube videos. There is no dearth of learning materials on the Internet if you're working towards a career in this field. That said, self-learning lacks structure, and you might not know what important elements you're missing.

What should I learn first in data science?

What skills do data scientists need to succeed?Programming in Python or R.Fluency with popular packages and workflows for data science tasks in your language of choice. ... Writing SQL queries.Statistics.Basic machine learning and modeling.Workflow and collaboration (Git, command line/bash, etc.)

Can I become a data scientist with no experience?

To learn and get into accurate learning of skills enrolling in a data science course is the best way. There's no need to worry as any interested person can thus become a data scientist without any experience.

Is data scientist job stressful?

To put it in a precise manner, Data analysis is a difficult task. Amongst all else, the colossal volume of work, deadline constraints, and job demand from multiple sources and levels of management make a data scientist job stressful.

How long does it take to learn data science from scratch?

On average, you will need to study around 500 hours of lectures to learn data science adequately. For around 100 hours, you can understand the basics of data science. The numbers can vary depending on your knowledge of programming, calculus, and statistics.

Can I learn Data Science for free?

freeCodeCamp. An online learning platform, freeCodeCamp is another best place to learn Data Science for free. They offer free lessons on statistics for Data Science, computer science concepts, Python fundamentals, Pandas, Python Matplotlib, and even a guide to build a good Data Science portfolio.

What's the difference between data science and data analytics?

While Data Science focuses on finding meaningful correlations between large datasets, Data Analytics is designed to uncover the specifics of extracted insights. In other words, Data Analytics is a branch of Data Science that focuses on more specific answers to the questions that Data Science brings forth.

Should I learn Python or SQL first?

Typically, SQL is a good programming language to learn first. As a tool, SQL is essential for retrieving content from relational databases. Compared to Python, SQL may be easier for some people to learn.

Can I learn data science in 1 year?

People from various backgrounds especially with zero coding experiences have proven to become good data scientists in just one year by learning to code smartly.

Is C++ needed for data science?

When it comes to developing big data applications, the speed of the compiler is one of the most important features. Therefore, C++ proves an excellent option as a data science programming language. It is the only programming language that can be compiled over a gigabyte of data in less than a second.

What is a podcast in data science?

Podcasts on specific data topics. Podcasts are a great way to take a deep dive into a particular topic in the data world, whether to learn a new skill or pick up some tips on a data task you perform regularly. Each of these podcasts focuses on a specific element of data science. 17. More or Less: Behind the Stats.

Who is the host of DataCamp?

In this podcast from DataCamp, host Adel Nehme interviews data leaders working in both industry and academia about all things data science—its past, present, and future, as well as the types of problems data science can solve. Older episodes were hosted by data scientist and writer Hugo Bowne-Anderson.

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.

Why is data science important to women?

Women are typically underrepresented in data science, so it’s especially important to amplify their voices, celebrate their contributions to the field, and highlight them as role models for future generations .

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?

While most data science podcasts in general appear to be concerned more with the world of complex machine learning and AI algorithms, “Data Stories” dives deep into the fundamentals—focusing on data visualization technologies.

What is a Freakonomics podcast?

This isn’t exactly a data science podcast, but “Freakonomics Radio” is one of the most interesting podcasts out there dealing with the puzzles of economics and statistics in the face of other global issues.

Is data science a tough topic?

Whether you’re just starting out or you’ve been in the field your entire professional life, data science can sometimes be a tough topic to digest. There are so many different perspectives and new developments to stay on top of, so it’s imperative that anyone interested in the field be constantly plugged in—and what better way to do that than through data science podcasts? They can be your companion during your commute or during a lazy weekend at home.

What is the artist of data science?

The Artists of Data Science. It's a podcast to help data scientists develop, grow, and flourish. To help data scientists develop in their professional lives by talking to leaders about how to become leaders.

What is a data science leader?

Data Science Leaders is a podcast for data science teams that are pushing the limits of what machine learning models can do at the world's most impactful companies. Each episode features an interview with a leader in data science.

Where is the US data skeptic?

Los Angeles, California, US Data Skeptic is your source for a perspective of scientific skepticism on topics in statistics, machine learning, big data, artificial intelligence, and data science through short tutorials and interviews with domain experts.

What is Datahack Radio?

About Podcast DataHack Radio is an exclusive podcast series from Analytics Vidhya that features Kunal Jain in conversation with the top data science and machine learning industry leaders and practitioners. Podcast#N#View Latest Episodes ⋅ Get Email Contact

What is data science podcast?

Data science podcast concentrates not only on data science but covers big data analytics as well. Besides, you will also get a chance to get an in-depth idea of big data tools, data science platforms, data storage through the below described useful, informative, and engaging shows.

What is Big Data Podcast?

This weekly big data podcast discusses the latest developments of data science and brings light to the diversifying opportunities that can be created. From machine learning, artificial intelligence to Data Mining and Statistical Analysis, and Business Strategies are covered in this program.

Why is data visualization important?

Data visualization is vital to represent the correlation between data and hidden patterns. We can not extract the most out of big data without the proper presentation. Enrico Bertini and Moritz Stefaner host this program to provide a precise idea of data visualization.

Is bid data podcast still available?

Just like the previous bid data podcast described already, this podcast is already discontinued. But there is still everything available on their site, and you can access it anytime, anywhere from the world. It has a lot of information focusing on data science, although it is a personal project.

Who is Katherine Gorman?

This data science podcast is arranged by a former radio producer Katherine Gorman who can make any program impressive and attract people towards data science. He has created this program to create more engagement around this industry to avoid any further AI winter.

Who hosts the Machine Learning Podcast?

It also wants to make people motivated enough to dig deep into this advanced field of data science. This program is hosted by Francesco Gadaleta, and he is popular when it comes to solo presentations.

Who is Dr Richard Golden?

Dr. Richard Golden hosts this data science podcast. He shares his thoughts and knowledge of Cognitive Science and Electrical Engineering in this program. It is designed to reach the maximum audience and motivate people to be data scientists. All the latest additions to the field of big data or data analytics are also presented to keep you updated.

What is data science podcast?

Data science is all about interpreting the stories told by data. These stories can be told differently based on how you present them out. In other words, how do you visualize them. Effective visualization is essential to the success of any data science project. And because it’s a very important skill for any data scientist, the Data Stories podcast focuses only on visualizations.

What is the Practical AI podcast?

The Practical AI: Machine Learning & Data Science podcast takes ideas and concepts and puts them in real-life scenarios.

Is it possible to sit down to learn something?

Life can get crazy busy. We all have to juggle so many chores and responsibilities every single day. For some, sitting down to learn something is not always feasible. Either you have tons of work tasks to get to, a baby needing your attention, or you’re just so overwhelmed with everything.

Who is the producer of Data Science at Home?

So this podcast’s name couldn’t be more perfect for our current situation. Data Science at Home is a podcast produced by Amethix Technologies with new episodes every week.

What is Wids data science?

As part of the worldwide Women in Data Science initiative, it aims to educate and inspire women in data science. What’s more, it offers support for data scientists, regardless of their gender. WiDS started as a technical conference at Stanford in 2015.

What are the topics in Tim Hartford's podcast?

It presents a broad range of subjects, including economics, politics, business, and health care. Plus, you'll learn the all the hidden statistical truths behind them.

What are Dave and Matt's podcast topics?

Featured Topics: Dave and Matt feature guests who share insights about the best practices for getting value out of data for organizations. The podcast also includes discussions about the improvement of higher education through data, the importance of data storytelling, and much more.

What is the Data Skeptic podcast?

Featured topics: The Data Skeptic podcast features long-form interviews with the best experts in the field. Their discussions provide insights into all things data science. In fact, the host is truly devoted to applying critical thinking and exploring the plausibility of claims. Furthermore, the show has hands down the cutest mascot in data science – a parrot called Yoshi who also happens to be the focus of numerous mini-discussions. Regardless of your background, you will find plenty of accessible knowledge. You'll also learn a whole lot about data mining, algorithms and search engines. Furthermore, you'll discover plenty about retrieavals, forcasting, regression, image recognition, natural language processing, game theory, and so much more. Each podcast episode includes show notes, data files, plots or short amounts of code you can access on a public GitHub page.

How long is the episode of Data Visualization?

Episode length: 40-45 min. Hosts: Enrico Bertini- an acclaimed researcher in the field of data visualization with a background in Computer Science. Bertini lives in New York and, in his own words, is working hard on keeping his Italian accent.

What is linear digressions?

Featured topics: Linear Digressions is a good-humored podcast devoted to Machine Learning and Data Science. After their signature greeting: “Hey, Katie”, “Hey, Jeff”, the hosts delve into friendly discussions of big topics. They both often cover AI, Machine Learning, Deep Learning, convex and non-convex optimization, and data engineering. Although the podcast doesn’t feature any guests, it includes useful relevant links that provide extra information for each topic.

Who is Roger Peng?

Hosts: Roger Peng – a Professor in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. He is also the author of the book R Programming for Data Science. Peng's charming co-host is Data Scientist Hilary Parker of Stitch Fix.