If you're looking for the best YouTube channels to follow to stay up to date with the latest trends and innovations in data science, machine learning, and coding, then you've come to the right place. In this article, we will be exploring some of the leading channels in data science, data analytics, Python, artificial intelligence, and technology. We'll provide a comprehensive overview of each channel. what topics are explored, what features are offered, and why you should be following them. So, read on to find out the best YouTube channels in these highly relevant and fast-growing fields.
Data science: Top Youtube Channels
MYANMAR DATA SCIENCE
Myanmar Data Science is a YouTube channel that offers free computer lessons, tutorials, and programming materials. It covers various topics related to data science, machine learning, and computer science, providing educational resources that are comprehensive and unique to the Myanmar audience. With all its content offered for free, it is an excellent resource for anyone interested in learning the basics of computer science and advanced data science from experienced professionals. Myanmar Data Science provides invaluable insight into the world of technology and computer programming for the people of Myanmar.
Unfold Data Science
Unfold Data Science is a YouTube channel dedicated to helping people learn about the world of data science. It covers a wide range of topics from machine learning and artificial intelligence to r programming and deep learning. It offers comprehensive courses on data science, machine learning, and data analytics, as well as a number of data science projects for users to explore and gain real-world experience. With its expertly curated content, Unfold Data Science is a great resource for anyone interested in data science.
365 Data Science
365 Data Science is a YouTube channel that provides comprehensive data science tutorials and resources. It covers a broad range of topics such as data science for beginners, python for data science, data science interview questions, what is data science, data science interview, statistics for data science and data science python. With straightforward explanations and carefully detailed examples, this channel provides an excellent starting point for anyone interested in learning data science.
Data Nash
Data Nash is a YouTube channel founded by Tina Huang and Ken Jee that focuses on data science, data analytics, data engineering, and study.md. They provide tutorials and guides on how to use DataCamp and other data-related topics. Additionally, they have interviews with industry experts to provide deeper analysis.
Recall by Dataiku
The Recall by Dataiku YouTube channel is a great resource for data science enthusiasts. It provides lifestyle advice, invaluable knowledge and pro tips on the latest technology trends in the industry. With carefully curated content, viewers can explore a wide range of topics and stay up to date with the data science world.
Thu Vu data analytics
Thu Vu's Data Analytics YouTube channel provides educational content on a wide range of data science topics, from python tutorials and data visualization to a day in the life of a data scientist. The channel also showcases Thu Vu's Google Data Certification and his own data science vlogs. With clear explanations and well-structured tutorials, Thu Vu's YouTube channel makes it easy to learn the ins and outs of data analysis.
Damsel in Data
Damsel in Data is a YouTube channel focused on helping individuals improve their career in data science, tech and finance. In addition to tutorials and advice for advancing in data-related fields, viewers can also expect to learn more about data analysis and resume building. On Damsel in Data, aspiring professionals can find valuable resources, tips and tricks for advancing their careers and becoming data professionals.
Simplilearn
Simplilearn is a YouTube channel that offers a wide range of courses aimed to help people upgrade their skills in data science, machine learning, deep learning, cyber security, ethical hacking, artificial intelligence, business analyst, digital marketing, six sigma, and social media marketing. With the goal of providing quality training and skills development, Simplilearn provides learners with a step-by-step guide to mastering some of the most in-demand skills in the world today. It is the perfect platform for anyone looking to upskill and develop better career prospects.
freeCodeCamp.org
The freeCodeCamp.org YouTube channel is a hub for aspiring software engineers, web developers, and data scientists. It offers coding bootcamps and tutorials to help aspiring coders learn to code, as well as full stack, front end, and web design tutorials. It also covers topics such as machine learning and data science.
edureka!
Ken Jee
Ken Jee's YouTube channel is a source of knowledge and inspiration for data scientists, combining educational and entertaining content focused on data science, machine learning, deep learning, sports analytics, data science projects, data science tutorials, and even data science jobs and a data science day in the life. Ken Jee is here to help you stay up to date with the latest trends in this ever-evolving field.
Tina Huang
Tina Huang's YouTube channel focuses on Data Science and Computer Science topics, with helpful tutorials and content geared towards both beginners and experienced professionals. She covers topics such as data science, computer science, and career changes while highlighting the success of women in tech and her own experience as a Data Scientist & Computer Science graduate from the University of Pennsylvania.
codebasics
Codebasics is a YouTube channel focused on teaching data science, programming, and development through tutorials. It covers topics such as Julia Programming, Python for Data Science, Machine Learning Python, Python, Git, GitHub, and Jupyter. It provides a great resource for those interested in coding and data science.
Krish Naik
Krish Naik's YouTube channel offers a variety of content related to data science, machine learning, deep learning and artificial intelligence. He provides tutorials and detailed explanations about these topics, as well as hundreds of coding examples to help viewers learn and develop their skills. His videos cover a wide range of levels from beginner to advanced and are an excellent resource for anyone interested in exploring the world of data science.
Rob Mulla
Rob Mulla's YouTube channel offers viewers a wide selection of topics related to data science, machine learning, Python programming, deep learning, and artificial intelligence. It's a great resource for anyone wanting to learn programming, learn Python language, or start a data science project. With tutorials and insights on an array of topics, Rob Mulla's page is sure to leave viewers feeling inspired.
Coding for All | Newton School
Coding for All | Newton School YouTube channel offers free coding classes online and online programming courses at a very affordable price. It offers courses on web development, full stack training, data science and coding courses, including free coding courses, to help students learn coding for free. It also provides competitive programming courses for those interested in furthering their coding skills. With the help of this channel, everyone can learn coding and new technologies with ease.
The Engineer Guy 2.0
The Engineer Guy 2.0 YouTube channel is run by MD Kaish Ansari and is a great resource for Indian students interested in data science, free online courses, how to get internships and online earning, as well as providing education memes to bring a lighthearted attitude to technical topics. Follow theengineerguy for a great combination of technical knowledge and humour!
Mohirdev
Mohirdev YouTube Channel promotes data science, offering courses like Mohirdev Kurslari, Dasturlash haqida, Dasturlash kurslari, Dasturlash nima, Dasturchi kim, Dasturlash kurslari o'zbek tilida, and Python haqida. The channel is led by Anvar Narzullaev, who provides viewers with extensive information about every course.?
Jay Feng
Jay Feng's YouTube channel is a great resource for aspiring data scientists and professionals already in the data science field. His channel features data science interviews with experts, along with data science and machine learning interview questions and answers. He also offers data analytics interviews, providing viewers with insight into the interview query process.
ritvikmath
Ritvikmath is a YouTube channel dedicated to teaching data science, number theory, mathematics, calculus, and other math concepts. It features a variety of educational videos for students and professionals alike, with topics ranging from the fundamentals of mathematics to more advanced topics like calculus and data science. It's a great resource for those wanting to further their knowledge in the field of mathematics.
BEPEC by Kanth - #BuildExperience & Get Hired!
This YouTube channel, BEPEC by Kanth, focuses on data science, AI and Machine Learning and provides great resources for those interested in career transitions and AI career paths. It offers data science and AI videos, as well as job opportunities from Kanth and BEPEC. If you are looking for information to help you advance your AI knowledge and career, this is the perfect channel for you.
Rishabh Mishra
Rishabh Mishra's YouTube channel is a resource for college students and job seekers. It specializes in providing helpful data science and data analysis tips, as well as providing interviews and resume advice. The channel also offers educational lectures and conferences for students to further advance in their fields. With Rishabh Mishra's plethora of knowledge and wisdom, he can help students land the job of their dreams.
Sundas Khalid
Luke Barousse
Luke Barousse's YouTube channel is an excellent resource for data scientists and analysts, who are interested in learning Python, data visualization, data analysis, and power BI. Through his tutorials, viewers can learn how to effectively analyze and build dashboards using Python and other data-related programming languages and tools. He offers deep insights and guidance into data science and analysis, as well as clear instructions on how to develop powerful dashboards. The videos are engaging and interactive, making them a great way for data professionals to stay up-to-date with the latest trends and technologies.
Alankar Gupta
Alankar Gupta's YouTube channel is a great resource for anyone interested in Data Science, Machine Learning and Artificial Intelligence. It provides real-world applications of these technologies through case studies and Indian business cases. There are comprehensive explanations on the use and implementation of Data Science, Machine Learning, and Artificial intelligence in various domains and industries.
Dave Ebbelaar
Dave Ebbelaar's YouTube channel is a source for anyone looking to learn about data science and related topics. He covers topics like machine learning, deep learning, data visualization, data analytics, and artificial intelligence, as well as providing advice on how to learn data science, how to become a data scientist, and what to look for in a data science internship. His videos are engaging and informative and provide a lot of value for his viewers.
How to Utilize Data Science in Your Organization
Data science is the process of extracting meaningful insights and knowledge from data to aid in better decision-making. It is increasingly popular in all parts of the business world due to the unprecedented levels of data now available. Organisations needs to find ways to leverage this data to make better decisions, identify trends and conduct efficient operations. Here are some ways to use data science in your organization:
- First, analyze the data your company already holds. By digging into the data you already have, you can place the company in a better position to understand value and identify areas where utilization of data science could be beneficial. The insights you can gain from the data will help you to understand customer needs, develop objectives, and design strategies.
- Second, identify new sources of data. As data science tools become more sophisticated, extracting data from uncommon sources such as web scrapes and social media sources, can be an invaluable way in understanding customer needs and identifying new potential opportunities. With the insights from these sources, new offerings, products and services can be tailored for better customer experience.
- Finally, implement and monitor data science models. With the insights derived from data sources, statistically significant representations can be made. Then the organization could implement appropriate data models to apply the learnings. The output of the model need to be monitored, optimized and retested to provide satisfactory and accurate outputs. If the organization is able to do so, they could benefit from efficient utilization of data and improved decision-making.
Data science is a powerful tool that can be used to get the most out of the data that organizations collect and store. By leveraging this data and implementing the right data science models, organizations can uncover insights that can be used to improve operational efficiency and optimize decision-making in their organization.
Exploring the Different Types of Data Science
Data science has rapidly established itself as one of the core disciplines of the contemporary world. Every industry and organization around the world is now looking to leverage data science practices to enhance their efficiency and productivity. With data science continuing to become increasingly important, it is essential to explore the different types of data science and the ways in which they can be effectively applied.
- At its core, data science encompasses the various techniques used to extract knowledge from data. This includes cleaning and pre-processing of data, statistical analysis, machine learning, big data analysis, and more. These techniques are utilized to represent and interpret data which can be used to make actionable insights and predictions that are helpful for decision making in many areas.
- One particularly exciting development within the data science sphere is its application to artificial intelligence. A major part of AI is the use of deep learning techniques which allow for the processing of large amounts of data in a more effective way. Deep learning algorithms are tasked with recognizing patterns in data or to perform certain tasks without external guidance. This has enabled the development of AI-powered applications that can be used across a variety of industries and fields.
Data science is an exciting and rapidly expanding field, and by exploring the different types of data science, we can gain better insight on its importance and potential applications. With the right understanding of data science practices and their usage, industries and organizations may be better equipped to take advantage of the potential that data science has to offer.
What Skill Sets Do You Need for Data Science?
Data science is one of the fastest growing fields in the tech industry today. With its focus on using statistical methods and algorithms to extract knowledge from data and make predictive models, this highly specialized field requires a set of specific skills to succeed. So what skill sets do you need for data science?
- The first and most important skill for any data scientist is knowledge of mathematics and statistics. Being able to understand quantitative concepts is essential in data science and being able to use sophisticated mathematical principles in analyzing data is a must. Additionally, the ability to manipulate data and create data visualizations is necessary, as well as understanding the various programming languages used in the industry such as language such as Python, R, and SQL.
- Finally, it is essential for data scientists to understand the basics of machine learning, which is the process of creating software that uses data to teach itself how to do certain tasks. This is an incredibly important tool in data science and can be used to create models that are able to make predictions and act autonomously based on the data they receive. Knowledge of specific machine learning algorithms and their capabilities will help any data scientist advance in their career.
With an ever-growing demand for data science professionals, having these skill sets is a great way to get your foot in the door to a new and exciting career.
