Data analytics is the act of gathering, arranging, organizing, analyzing, and visualizing data in order to acquire insights and make educated choices. Data analytics is a crucial skill for many fields and industries, such as business, marketing, finance, healthcare, education, and more. If you want to learn data analytics or improve your existing skills, YouTube is a great platform to find free and high-quality resources.
1. StatQuest with Josh Starmer: This channel is dedicated to breaking down complex statistical concepts and methods into simple and easy-to-understand pieces. You can learn about topics such as hypothesis testing, regression, clustering, machine learning, and more. The channel also provides practical examples and exercises to help you apply what you learn.
2. Microsoft Power BI: Power BI is a popular software for data visualization and business intelligence. This channel offers tutorials, tips, and best practices on how to use Power BI to create stunning dashboards and reports. You can also learn about the latest features and updates of Power BI and how to integrate it with other tools and platforms.
3. Tableau Tim: Tableau is another widely used software for data visualization and analysis. This channel is run by Tim Ngwena, a certified Tableau trainer and consultant. He covers topics such as data preparation, dashboard design, calculations, parameters, filters, maps, animations, and more. He also shares his insights and experiences on working as a data analyst.
4. Penguin Analytics: This channel is focused on teaching data analytics using Python, one of the most popular programming languages for data science. You can learn how to use Python libraries such as pandas, numpy, matplotlib, seaborn, sci-kit-learn, and more to perform data manipulation, exploration, visualization, and machine learning. The channel also provides real-world projects and case studies to help you practice your skills.
5. Empowered Analysts: This channel is created by a team of data analysts who work at Google. They share their knowledge and tips on how to become a successful data analyst in the tech industry. They cover topics such as SQL, Excel, R, Google Analytics, Google Data Studio, Google BigQuery, and more. They also offer career advice and interview preparation for aspiring data analysts.
6. Caleb Curry: Caleb Curry is a self-taught programmer and data analyst who has a passion for teaching and learning. His channel offers comprehensive courses on SQL, Python, MongoDB, AWS, Azure, and more. He explains the concepts in a clear and engaging way and provides plenty of examples and exercises to help you master the skills.
7. Guy in a Cube: Guy in a Cube is a channel run by Adam Saxton and Patrick LeBlanc, two Microsoft employees who love data analytics and Power BI. They provide weekly videos on Power BI features, tips, tricks, best practices, and solutions to common problems. They also host live Q&A sessions where they answer questions from the viewers.
8. Tina Huang: Tina Huang is a data scientist at Facebook who shares her insights and experiences on working with data. She covers topics such as data science projects, learning resources, productivity hacks, career advice, and more. She also interviews other data professionals from different companies and backgrounds to learn from their stories and perspectives.
9. Ken Jee: Ken Jee is a former data scientist who now works as a content creator and educator. He combines his passion for data science and sports analytics to create interesting and informative videos on various topics such as Python, SQL, machine learning models, web scraping, APIs, Kaggle competitions, and more. He also shares his personal journey and challenges in becoming a data scientist.
10. freeCodeCamp.org: freeCodeCamp.org is one of the most popular online platforms for learning web development and programming. It also has a YouTube channel that offers hundreds of hours of free video courses on various topics related to data science and analytics.
Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
_____________
Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.