Top 10 Podcasts for Data Science Enthusiasts

Laxman katti

Top 10 Podcasts for Data Science Enthusiasts

A top-notch data science podcast enlightens, amuses, and introduces you to fresh concepts in the field. The newest thoughts from data leaders, advice on how to land a job in data science, and how data impacts every industry, from banking to healthcare, are just a few examples of what's available. We've created this categorized list of our favorite data science podcasts because it might be challenging to choose one to listen to first with so many options available.A few examples are listed below.

Data-Driven Podcasts

Chai Time Data Science

This data science podcast, hosted by deep learning engineer Sanyam Bhutani, mostly includes interviews with Kagglers, data scientists, and other well-known data scientists.

Data Science at Home

This data science podcast is hosted by Dr. Francesco Gadelatta, the creator of Amethix Technologies, and it focuses on AI, machine learning, and algorithms.

Data Science Now

The episodes of this podcast, which aims to educate, address specific subjects like the history of data science, how to find a job in the field, and illustrations of how it is used in real-world situations.

Data Skeptic

This is one of the most well-known data science podcasts with over 200 episodes, covering a wide range of subjects and publishing new episodes practically weekly.

DataHack Radio

Each edition of this popular podcast, hosted by the site Analytics Vidhya, includes an interview with a machine learning specialist to stay current on the most recent advancements in the area.

Gradient Dissent

Deep learning specialists discuss how they use this at organizations like Facebook, Google, and Lyft in this data science podcast.

Harvard Data Science Review Podcast

With episodes referred to as "case studies" on how data affects the modern world, this data science podcast focuses on the practical applications of data science.

Practical AI

This data science podcast prides itself on "keeping up with the newest breakthroughs in AI while keeping one foot in the real world," as the name of the show suggests.

The Data Engineering Podcast

This data science podcast delves into the specifics of data management and is produced by a data engineer.

Towards Data Science

TDS, which is sponsored by the well-known Medium site, covers a wide range of artificial intelligence issues, including AI governance and AI research.

Data Science Podcasts

Becoming a Data Scientist

This data science podcast, as its name implies, focuses on Renee Teate's data science career trajectory and the difficulties he encountered.

Data Cast

Each episode focuses on the career lessons each renowned data scientist learned before landing their present data science position through interviews with them.

DataXpresso

According to its description, this data science podcast is for data professionals who desire to base their professions on technology and data analytics.

The Artists of Data Science

ADS, which bills itself as "the ONLY self-development podcast for data scientists," offers a variety of episodes that focus on both professional and personal growth in addition to talks of the most recent advancements in the industry.

The Data Life

This data science podcast covers every facet of data science employment, from the technical to the soft-skills requirements of this line of work.

Conclusion

Data Science is an emerging field. Listening to podcasts relating to Data Science, on a daily basis would be a daily dose of motivation. These would also help people understand better what Data Science is all about. Data Scientists are the most sought-after by top product-based companies. It is necessary to be well-versed in the concept of Data Science to become a Data Scientist. For getting acquainted with the concepts of Data Science, a candidate must be trained appropriately. There are many institutes in our country that train candidates in the field of Data Science. Skillslash also has in store, exclusive courses like Data Science Course In Chennai, or Data Science Course In Dehradun, Full Stack Developer Course and Web Development Course to ensure aspirants of each domain have a great learning journey and a secure future in these fields. To find out how you can make a career in the IT and tech field with Skillslash, contact the student support team to know more about the course and institute

Laxman katti

The Advantages of Machine Learning in Healthcare

Atul 2023-08-25

Introduction To Machine LearningWelcome to our blog discussing the advantages of Machine Learning (ML) in the healthcare industry. In addition to improving clinical decision making, machine learning can also help reduce costs and improve efficiency within healthcare organizations. All of these factors can make it difficult for medical professionals to properly utilize machine learning technology for their use. Despite these challenges, the advantages offered by machine learning are hard to deny. Overall, the adoption of machine learning in healthcare has been beneficial despite its associated challenges.

Data Scientist vs Data Engineer: Which Is Better for 2023?

bharani 2023-03-20

The following article provides insight into the key distinctions between two more well-known careers in data science, data scientist, and data engineering. As data engineers manage vast amounts of data, data scientists interpret it. A few data engineerings certifications, such as Google's Professional Data Engineer or IBM's Certified Data Engineer, may also be needed for applicants. Whether through an internship or as a junior data scientist, many data scientists begin their careers in entry-level data science positions. Which Is Better for You: Data Scientist or Data Engineer?

How Data Science Will Dominate The World In 2023

John Alex 2023-03-16

In the year 2023, it is expected that data science will continue to dominate the world, and here are some of the reasons why. Salary of a Data Scientist at Entry LevelEvery job starts at entry level, and data science is no exception. The incomes of this group, which includes the majority of data scientists, may be used as a benchmark when discussing the pay for data scientists. These data scientists are often on their path to becoming senior data scientists and have experience working on challenging and significant data science projects. ConclusionIn conclusion, data science will continue to dominate the world in 2023 and beyond.

Univariate Analysis: What is it?

Dailya Roy 2023-06-06

When doing descriptive statistics, univariate analysis is sometimes performed to better understand the distribution, central tendency, variability, and other aspects of a dataset orchestration. Questions like this often benefit most from a univariate analysis:What does the variable typically amount to? In this piece, we'll go further into the notion of univariate analysis and talk about the many methods that may be used to carry it out. Types of Variables in Univariate AnalysisBefore delving into the various methods of univariate analysis, it is important to get a firm grasp on the common kinds of variables encountered in such research. The univariate analysis focuses on two basic categories of variables: 1.

The Benefits of Hiring a Data Scientist

Shikha Sharma 2023-02-01

Here are just a few of the benefits to hire data scientist for your organization. By analyzing data and understanding how it is used, data scientists can help organizations protect their data and ensure the safety of their customers. By analyzing data and understanding customer behavior, data scientists can help businesses plan for the future and anticipate customer needs. Hiring a data scientist can be a great way for companies to gain a competitive edge and improve their performance. By leveraging the skills and knowledge of a data scientist, businesses can unlock valuable insights and gain a competitive edge.

The Role of a Data Scientist: Skills and Responsibilities

GourySunshine 2023-08-03

IntroductionAs the world is rapidly evolving into a data-driven society, the role of a data scientist has become more crucial than ever. However, the job of a data scientist is not confined to number crunching. You can learn data science from very famous Data Science Courses Skills Required by a Data ScientistTechnical Skills1. A significant part of a data scientist’s job is to clean, preprocess, and structure this data for further analysis. ConclusionThe role of a data scientist is challenging yet rewarding.

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