Luke Barousse YouTube channel thumbnail
Luke Barousse
Subscribers 615K
Videos 166
Views 31.0M

Channels Like Luke Barousse

Luke Barousse produces data-focused tutorials and courses centered on data visualization, Python data analysis, SQL, Power BI, Tableau, and related tools. The channel emphasizes tutorials for data analysts and data scientists, with content often framed as full courses or step-by-step guides, and a recurring emphasis on how to use Python and other tools for data analysis. Uploads appear to be ongoing since Aug 3, 2020, with an average view count around 0.76M per video, and a sizable catalog of 166 published videos.

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Similar Channels

We found 50 YouTube channels similar to Luke Barousse

Simplilearn YouTube channel thumbnail
#1

89% relevance

Subscribers 6.1M
Videos 10K
Views 509.1M
Appearances 23
SERP 100%
Similarity 81%
data analytics for beginners data visualization course data analysis with Power BI

Both target beginners and professionals with data analytics topics and share searches like data analytics for beginners and data visualization course, but Simplilearn’s content leans more structured courses (81% content match) whereas Luke’s channel relies on more narrative, project-driven explanations.

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Kenji Explains YouTube channel thumbnail
#2
Kenji Explains

88% relevance

Subscribers 897K
Videos 342
Views 64.2M
Appearances 19
SERP 100%
Similarity 80%
data analytics tutorial data analytics learn SQL data analysis with Excel

They align on practical data analytics topics such as data analytics tutorial and SQL and Excel analytics, with high search overlap (100%) but Luke’s approach is more tutorial-style storytelling while Kenji emphasizes quick explainers (80% content match).

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freeCodeCamp.org YouTube channel thumbnail
Subscribers 11.5M
Videos 2.1K
Views 954.1M
Appearances 21
SERP 94%
Similarity 77%
data analytics for beginners data visualization course data analysis with Python

Both address data analytics basics and Python visualization, evidenced by strong search overlap (94%), yet freeCodeCamp tends to longer, workshop-like tutorials (77% content match) compared to Luke’s shorter, opinionated explains.

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Alex The Analyst YouTube channel thumbnail
#4
Alex The Analyst

83% relevance

Subscribers 1.3M
Videos 428
Views 60.8M
Appearances 22
SERP 75%
Similarity 88%
data analytics course data analytics learn SQL data visualization course

They share core analytics topics like data analytics course and SQL and visualization, with solid search alignment (75%), but Luke’s content style is more personal and narrative while Alex uses a more direct, tutorial-driven format (88% content match).

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Mo Chen YouTube channel thumbnail
#5
Mo Chen

72% relevance

Subscribers 203K
Videos 284
Views 8.6M
Appearances 13
SERP 53%
Similarity 84%
data analysis with Python data analysis with Excel data analysis with Power BI

Interest overlaps on Python, Excel, and Power BI data analysis (queries align), with moderate search overlap (53%) and high content similarity (84%), indicating similar topics but different presentation pace and depth.

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Chandoo YouTube channel thumbnail
#6
Chandoo

71% relevance

Subscribers 840K
Videos 586
Views 65.5M
Appearances 11
SERP 48%
Similarity 86%
data analytics learn SQL data analysis with Excel data analysis with Power BI

Both cover data analytics with Excel and Power BI and SQL learnings, reflected by mixed search (48%) and strong content similarity (86%), where Luke’s style is more casual but Chandoo emphasizes Excel-centric dashboards.

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Channels Like is a free, independent project for discovering related YouTube channels. If this is your channel, we’d welcome your feedback.

Content Landscape

Discovered competitors include Simplilearn (89% match) and Kenji Explains (88% match) as the top two, with overlaps in data analytics for beginners, data visualization courses, and data analysis with Power BI or SQL. FreeCodeCamp.org (84% match) and Alex The Analyst (83% match) also compete on data analytics courses, SQL, and data visualization topics. Mo Chen (72% match) overlaps on Python, Excel, and Power BI data analysis. Luke Barousse has 615K subscribers, while the competitors range from 897K to 11.5M subscribers, indicating larger audiences but overlapping content areas and search queries such as data analytics for beginners, data visualization course, and data analysis with Power BI.

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Video Highlights

Recent content from similar channels

Didn't Make the Cut

44 additional channels that were close

Rank Relevance Channel Similarity Subscribers SERP Appearances
#7 70% Agatha 80% 85.6K 55% 10
#8 68% IBM Technology 71% 1.6M 63% 12
#9 67% Kevin Stratvert 73% 4.2M 59% 10
#10 64% Adam Finer - Learn BI Online
80% 138K 41% 10
#11 64% CareerFoundry 70% 306K 55% 10
#12 64% Learn Skills Daily
79% 1.0M 40% 11
#13 62% edureka! 79% 4.4M 35% 7
#14 61% Programming with Mosh 75% 5.0M 41% 12
#15 61% Christine Jiang
80% 47.4K 31% 5
#16 61% Wale Gbads
85% 75.2K 24% 5
#17 60% Sheryians AI School
86% 112K 21% 3
#18 60% Data with Baraa 86% 320K 20% 7
#19 59% Nishant Chahar
76% 583K 34% 7
#20 59% Leila Gharani 78% 3M 31% 6
#21 59% Matt Mike 85% 17.7K 19% 7
#22 59% Lore So What 86% 141K 18% 6
#23 58% Simon Sez IT 79% 708K 25% 5
#24 56% Infinite Codes 77% 128K 26% 5
#25 55% Jess Ramos | Data, AI, & Tech ⚡️
82% 29.9K 16% 3
#26 55% Rob Mulla
80% 220K 18% 2
#27 55% 365 Data Science
84% 368K 11% 2
#28 55% Maven Analytics
82% 175K 15% 5
#29 53% Stefanovic
75% 325K 19% 4
#30 52% My Lesson
80% 347K 12% 4
#31 52% Intellipaat 78% 12.8M 13% 7
#32 52% Google Career Certificates 75% 737K 18% 8
#33 52% Learn with Lukas 75% 141K 18% 3
#34 52% MyOnlineTrainingHub
79% 845K 11% 4
#35 52% Avery Smith | Data Analyst 79% 64.7K 10% 2
#36 51% Cody Baldwin
79% 93.1K 10% 3
#37 51% Jeff Su 78% 1.6M 10% 1
#38 50% ByteByteGo 70% 1.4M 20% 2
#39 50% Analyst Academy 77% 225K 10% 1
#40 50% CS Dojo
76% 1.9M 10% 2
#41 49% Fireship 68% 4.1M 19% 2
#42 49% numiqo 70% 284K 17% 3
#43 48% Entri Coding മലയാളം
73% 58.2K 10% 3
#44 47% Lights OnData
73% 921K 9% 3
#45 47% Be A Better Dev 71% 283K 12% 1
#46 47% Hitachi Solutions Canada
70% 4.7K 12% 1
#47 45% Global Health with Greg Martin 68% 203K 12% 1
#48 44% TEDx Talks 66% 44.2M 10% 3
#49 43% CrashCourse 66% 16.9M 9% 2
#50 41% Law School Prep Hub
60% 1.1K 12% 1

Search Queries Used

data analytics course data analytics tutorial data analytics for beginners data analytics learn SQL data visualization course data analysis with Python data analysis with Excel data analysis with Power BI machine learning for analysts chatgpt for data analysts excel for data analytics python for data analytics sql for data analytics power bi for data analytics data analytics career data analytics bootcamp alternatives data storytelling techniques SQL query optimization data cleaning techniques Excel pivot tables tips Python data visualization Power BI dashboards tips SQL for data science statistical analysis basics machine learning basics for analysts data warehousing fundamentals data governance basics data analysis project ideas data analytics interview questions advanced Excel for analysts data ethics and privacy data pipeline concepts big data fundamentals business intelligence concepts cloud data fundamentals

Frequently Asked Questions

Which YouTube channels are most similar to Luke Barousse?

Simplilearn (6.1M subscribers, 89% match) and Kenji Explains (897K subscribers, 88% match) are Luke Barousse's biggest competitors on YouTube, followed by freeCodeCamp.org (11.5M subscribers, 84% match). They all create data science, programming, or educational content and target learners seeking tutorials and full courses.

What type of content does Luke Barousse make?

Luke Barousse creates tutorial-style content focused on data analytics, data science, and programming, as shown by titles like Excel for Data Analytics, SQL for Data Analytics, Power BI for Data Analytics, Python for Data Analytics, and ChatGPT for Data Analytics. He uploads infrequently, with an average of ~0.1 videos per week, and his videos average about 756.3K views.

How do we determine which channels are similar to Luke Barousse?

We analyze Luke Barousse's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.

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