Table of ContentsOverview 1. StatQuest with Josh Starmer 2. codebasics 3. Simplilearn 4. Krish Naik 5. Alex The Analyst 6. sentdex 7. Corey Schafer 8. freeCodeCamp.org 9. Chandoo 10. edureka!
Best YouTube Channels to Learn Data Analytics
Curious about how to make sense of the vast sea of data and turn it into actionable insights?
Begin your path to becoming a data expert with the best YouTube channels to learn Data Analytics, where data isn’t just numbers, but a story waiting to be told.
10 Best YouTube Channels for Data Analytics – Overview
Here’s an overview of top 10 YouTube channels to learn Data Analytics, with links to their channel homepage:
|No. of Videos
|Avg Duration of Videos
|StatQuest with Josh Starmer
|Alex The Analyst
|15 min, 1 hr
Best YouTube Channels to Learn Data Analytics
Below is the list of best YouTube channels to learn Data Analytics:
1. StatQuest with Josh Starmer
StatQuest with Josh Starmer’s channel is an excellent resource for anyone interested in learning statistics and data science. Josh Starmer’s teaching style is humorous and engaging, often using animations to explain complex statistical concepts in a way that is easy to understand.
The playlist “StatQuest: Statistics Fundamentals” covers fundamental concepts in statistics. This series includes videos on principal component analysis (PCA), logistic regression, probability vs. likelihood, maximum likelihood, PCA main ideas, decision trees, bias and variance in machine learning, k-means clustering, random forests, ROC and AUC, and more.
The playlist is perfect for those new to statistics or those looking to refresh their knowledge on fundamental concepts.
Codebasics’ channel is an excellent resource for those interested in data analysis and data science. The channel’s teaching style is fun, engaging, and breaks down complex concepts into smaller, more manageable chunks, making it accessible for learners at all levels.
The playlist “Data Analysis Projects” focuses on projects with datasets that mimic real-life situations, using tools like Power BI, Excel, and SQL.
This series covers a range of data analysis projects, including end-to-end cricket data analytics using web scraping, Python, Pandas, and Power BI, sales insights data analysis projects in Power BI, and Tableau projects for beginners.
The playlist also includes tutorials on data analytics in Power BI for beginners, HR analytics projects, personal finance dashboard creation, and more.
Simplilearn’s channel is a comprehensive resource for those interested in data analytics.
The playlist “Data Analytics | Data Analytics Full Course For Beginners | Data Analytics Projects | Updated Data Analytics Playlist 2024” is designed to provide beginners with a thorough understanding of data analytics.
This series covers a wide range of topics, including an introduction to data analytics, data analytics using R and Python, top data analysis tools, skills required to become a data analyst, career and salary insights, tutorials on R programming, Excel, Tableau, and qualitative vs quantitative research methods.
The playlist also includes data analytics projects using Python, Spotify data analysis, and a complete data analytics full course.
4. Krish Naik
Krish Naik’s channel is a valuable resource for those interested in data science and machine learning. His teaching style is clear and concise, focusing on the fundamentals of programming and AI, making complex topics accessible to a wide audience.
The playlist “Exploratory Data Analysis” is dedicated to teaching viewers about exploratory data analysis (EDA), a critical step in the data science process.
This series includes tutorials on advanced house price prediction, feature engineering, feature selection, and various automated EDA libraries. It also covers tools like Autoviz for automatic dataset visualization, Pandas Visual Analysis, D-Tale, and Lux for intelligent visual discovery, as well as Klib for data cleaning and visualization.
The playlist is perfect for those who want to learn about EDA techniques and tools in a structured and practical way.
5. Alex The Analyst
Alex The Analyst’s channel is an excellent resource for those looking to start a career in data analysis. His teaching style is friendly and approachable, breaking down complex SQL concepts into easy-to-understand steps, making it accessible for learners at all levels.
The playlist “Data Analyst Bootcamp” is YouTube’s first free Data Analyst Bootcamp, offering a comprehensive learning experience. This series covers a wide range of topics essential for aspiring data analysts.
It includes tutorials on data analytics for beginners, SQL basics, intermediate SQL tutorials, advanced SQL tutorials, data analyst portfolio projects, Excel tutorials, Tableau tutorials, Power BI tutorials, Python for beginners, web scraping in Python, Python Pandas tutorials, and more.
Sentdex’s channel is a valuable resource for those interested in learning data analysis with Python and Pandas. The channel’s teaching style is engaging, focusing on hands-on demonstrations of Python concepts, making it accessible for learners at all levels.
The playlist “Data Analysis with Python and Pandas” is a comprehensive series that covers various aspects of data analysis using Python and the Pandas library.
This series includes tutorials on the basics of Pandas, IO basics, building datasets, concatenating and appending dataframes, joining and merging dataframes, pickling, percent change and correlation tables, resampling, handling missing data, rolling statistics, applying comparison operators to DataFrame, and incorporating Scikit Learn.
7. Corey Schafer
Corey Schafer’s channel offers a playlist titled “Pandas Tutorials,” which is dedicated to teaching the Pandas library in Python. Pandas is a powerful data manipulation and analysis tool, making it a staple for data scientists and analysts working with Python.
This playlist covers a wide range of topics within Pandas, including dataframes, data cleaning, data manipulation, data visualization, and advanced data analysis techniques. The tutorials are designed to be instructive, utilizing real-world analogies and practical code examples to help viewers understand and apply Pandas in various scenarios.
The playlist is ideal for those who are new to Pandas or looking to enhance their skills in data analysis using Python.
The freeCodeCamp.org channel offers a comprehensive “Data Analysis with Python Course” playlist. This series is designed to provide a thorough understanding of data analysis using Python.
The playlist includes six videos, each focusing on different aspects of data analysis with Python.
Topics covered in the series include Python functions and working with files, numerical computing with Numpy, analyzing tabular data with Pandas, visualization with Matplotlib and Seaborn, and a case study on exploratory data analysis.
Chandoo’s channel is a valuable resource for those looking to enhance their data analysis skills using Excel. The channel’s teaching style is informative, insightful, engaging, and often humorous, making complex Excel concepts more accessible.
The playlist “Data Analysis with Excel 📈📉📊✅” is a series of videos focused on teaching viewers how to perform data analysis using Excel.
This series covers a range of topics, including beginner to pro Excel data analysis courses, advanced lookup tricks, free datasets for data analytics practice, dynamic chart creation, essential Excel text functions, SUMIFS tricks, pivot tables for quick results, and advanced IF formulas.
The playlist also includes tutorials on data cleaning, conditional formatting, line charts for business data analysis, and Power Query tutorials.
Edureka’s channel is a comprehensive resource for those interested in data analytics, particularly with Python. The channel’s structured learning approach, led by multiple instructors, provides clear and concise explanations with a focus on practical application.
The playlist “Data Analytics with Python” includes a series of videos that cover various aspects of data analytics using Python.
This series includes a full data analytics course, data analyst interview questions and answers, a review of the top data analytics tools for 2024, roles and responsibilities of data analysts, comparisons between data analyst, data engineer, and data scientist roles, and discussions on big data, data science, and data analytics.
The playlist also includes tutorials on Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn, as well as a tutorial on statistics using Python.
Frequently Asked Questions
1. What are the best YouTube channels for learning Data Analytics?
The best Youtube channels for learning Data Analytics are StatQuest with Josh Starmer, codebasics, Simplilearn, Krish Naik, Alex The Analyst, sentdex, and Corey Schafer.
2. Why should I choose YouTube for learning Data Analytics?
YouTube offers diverse teaching styles, practical examples, and a wide range of Data Analytics content for free, suitable for all learning levels.
3. How do I choose the right YouTube channel for learning Data Analytics?
Look for channels that match your learning style, cover the topics you’re interested in, and have positive user engagement and reviews for learning Data Analytics.
4. Can a beginner learn Data Analytics effectively through YouTube channels?
Yes, many YouTube channels provide beginner-friendly Data Analytics tutorials with step-by-step instructions and real-world examples.
5. How important is the instructor’s expertise in these Data Analytics YouTube channels?
Instructor expertise is crucial as it ensures accurate, up-to-date information and effective teaching methods for Data Analytics.
6. Are there YouTube channels for Data Analytics that offer content in multiple languages?
Yes, some channels like Chandoo offer Data Analytics content in English with subtitles, catering to a diverse audience.
These YouTube channels are your essential guides in the journey of Data Analytics, offering the perfect mix of in-depth knowledge and practical application to transform you into a savvy data analyst.
Keep checking this article as we will keep updating this space as more YouTube channels make space in the heart and study schedule of students preparing for placements and competitive exams.
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