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Free Analytics Videos

Cracking Analytics Interviews with Free Analytics Videos by The Data Monk

In today’s data-driven world, careers in analytics are booming. Organizations seek individuals skilled in extracting insights and making data-backed decisions, from data analysts to machine learning engineers. However, landing a job in analytics is no easy feat. Interviews often test a wide array of skills, ranging from SQL queries to machine learning algorithms.

The Data Monk Youtube Channel – 200+ videos on SQL, Python, Case Studies, Interview Questions and Machine Learning Algorithms

Get your hands on the Most Sold e-books by The Data Monk:

2200 Interview Questions with Answers Asked in Analytics Interviews

At The Data Monk YouTube Channel, we understand these challenges. Our channel is dedicated to helping aspiring professionals master the key topics necessary to excel in analytics interviews. Here’s why these topics matter and how our videos can guide you to success.

Free Analytics Videos

How to prepare with these videos?

Select the topic that you are preparing for, for example – SQL, go through the basic materials on SQL, get your basics clear, and then hop on to the video that you think has not been covered in your preparation so far.
Like the video if you like it
Comment on the video if you think some changes are required
Subscribe, to help yourself grow and to motivate us 🙂

Free Analytics Videos

1. Python – The Analytics Powerhouse

Python’s versatility makes it a go-to tool for data analysis, visualization, and predictive modeling. From writing simple scripts to implementing machine learning models, Python skills show a candidate’s technical edge in handling large datasets.

Python Complete Playlist – Click Here
Pandas Complete Playlist – Click Here
Numpy Complete Playlist – Click Here

2. SQL – The Heart of Data Handling

SQL is the foundation of data manipulation. Whether it’s querying databases, joining tables, or optimizing performance, SQL skills are non-negotiable. Interviewers frequently test candidates with real-world problems to assess their command over database management.

SQL Complete Playlist – Click here

Case Study and Guesstimate Complete Playlist

3. Company-Specific Interview Questions

Every organization has its own approach to analytics. Preparing for company-specific questions helps you stand out. Our channel provides curated content tailored to interview patterns at top companies, giving you a competitive advantage.

Company wise Interview Questions – Complete Playlist

4. Statistics and Data Science Fundamentals

Strong fundamentals in statistics are vital for hypothesis testing, regression analysis, and other analytics tasks. Combined with data science methodologies, these skills form the backbone of decision-making in analytics.

Statistics Complete Playlist – Click Here

5. Machine Learning Algorithms –

The Future of AnalyticsMachine learning is transforming analytics, automating processes, and uncovering deeper insights. Understanding algorithms like decision trees, clustering, and neural networks can significantly enhance your value in the job market.

Machine Learning Complete Playlist


Free Analytics Videos

Company Interview Videos

  1. List of all the free resources to crack Data Analyst interview in 30 Days – https://youtu.be/LU-PTTRjacE
  2. Most important certification for Data Science and Analytics Jobs – https://www.youtube.com/watch?v=0PTUH0Fwi2I
  3. Zomato’s Business Analyst Interview – https://youtu.be/UD1rCwuaoAU
  4. Data Analyst Vs Data Scientist Vs ML Engineer Vs DevOps Engineer – https://youtu.be/pVJK3lqeOzA
  5. 14 Amazon Principle explained in Hindi – https://youtu.be/pWIj42NhpDM
  6. Walmart Interview Questions – https://youtu.be/gy2u3gomRIE
  7. Sapient Analytics Interview Questions – https://youtu.be/ppxGgHWgsbU
  8. Uber Data Scientist Interview Questions – https://youtu.be/u7rZgQRCUPo
  9. Microsoft Data Scientist Interview Questions  – https://youtu.be/e-NroGCzWYU
  10. Postman Data Analyst Interview Questions – https://youtu.be/I7xezD_AiBI
  11. Salesforce Data Scientist Interview Questions – https://youtu.be/qRr12FKt3Ho
  12. Flipkart Data Analyst Interview – https://youtu.be/4GgA2bDDiaY
  13. Indeed Data Scientist Interview – https://youtu.be/L8Gig5YWlKw
  14. Goldman Sachs Data Scientist Interview – https://youtu.be/759EyftaOuE
  15. Dream11 Data Scientist Interview – https://youtu.be/I2HgB_6V9To
  16. Intuit Data Scientist Interview – https://youtu.be/AhJi228Na-U
  17. PharmEasy Data analyst Interview – https://youtu.be/tDOkpEuWpgA

SQL – Free Analytics Videos

  1. Fetch Duplicate Rows in SQL – https://youtu.be/MGHNrxsHKcg
  2. Like Operator in sql – https://youtu.be/IqMMbH6Jw0w
  3. Substring and Replace in SQL – https://youtu.be/Pzb9tBdXKyc
  4. Aggregate Functions in SQL – https://youtu.be/6H5neKpUz9E
  5. Cumulative Sum in SQL – https://youtu.be/COEEGPXjNbk
  6. Row number() in SQL – https://youtu.be/1actE8UL4yM
  7. Ntile() – https://youtu.be/xbjyXk7oSdY
  8. Rank vs Dense Rank – https://youtu.be/f32Yne_4G00
  9. Where vs Having – https://youtu.be/rtZpbyyQtVk
  10. Lead and Lag – https://youtu.be/U_OQD3XpagQ
  11. Joins – https://youtu.be/_V38OgS1s5M
  12. Keys – https://youtu.be/yPZG6qurO_Q
  13. 1NF and 2NF – https://youtu.be/7CyxIOj9zTs
  14. 3 NF and BCNF – https://youtu.be/VuJ7gnaas5k
  15. Most Asked Interview Questions – https://youtu.be/UGTsPRUIkYg
  16. Odd even rows – https://youtu.be/-tLTAuvHAU0
  17. Delete vs Truncate vs Drop in SQL – https://youtu.be/cSM86aZRhMo
  18. SQL Tricky Analytics Interview Questions – https://youtu.be/MRgZKeYx1NY
  19. Binary Tree in SQL – https://youtu.be/oAD-YUafmB8
  20. Joins Advance Interview Questions – https://youtu.be/pf_RdiCBQw4
  21. Facebook SQL Interview Questions – https://youtu.be/LDYdcH82IO0
  22. Tricky SQL Interview Questions  Part 2 – https://youtu.be/B8Zy9bcqai0

Machine Learning in Python – Free Analytics Videos

  1. Introduction to Machine Learning and AI – https://youtu.be/MTHEIQk5zwI
  2. Introduction to Linear and Logistic Regression in Machine Learning – https://youtu.be/IqBAm9nJLng
  3. Introduction to Decision Tree in Machine Learning – https://youtu.be/7PrDWwM0dv8
  4. Python Basics Revision in 30 minutes – https://youtu.be/0IRMAXTgZIw
  5. EDA in Machine Learning – https://youtu.be/zw5AruehIZo
  6. Linear Regression Theory and Code in 30 minutes (Python) – https://youtu.be/VzeAxFkYuf8
  7. Logistic Regression Theory and Code in 30 minutes (Python) – https://youtu.be/l4Fyfmm1ry0
  8. Decision Tree Code and Theory in 30 minutes – https://youtu.be/1Ev35ZZh18U
  9. Complete LSTM model with Stock price prediction at 98% accuracy – Code and Theory – https://youtu.be/R97p_Y9U6Io
  10. Random Forest Adaboost Theory and Code in Python – https://youtu.be/3NhH8h0_kZk
  11. Complete Support Vector Machine Algorithm, Theory and Code in Python – https://youtu.be/im05sGaEbCU
  12. XGBoost Theory and Code in 30 mins in Python – https://youtu.be/0pHEFxVawks
  13. K Nearest Neighbour KNN code and theory in 30 mins – https://youtu.be/0NZakEXw8n8
  14. Naive Bayes Theory and Code in 30 minutes in Python – https://youtu.be/KGP0NZ-4tHU
  15. K-Mean, Hierarchical and DBSCAN Theory and Code in Python – https://youtu.be/iT5W8i-JOpE
  16. Association (Apriori, ECLAT, FP-Growth) Theory and Code in Python – https://youtu.be/7Uk-cpOEecI
  17. Dimension Reduction Theory and Code in Python – https://youtu.be/HDIWTZnl3hU
  18. Regression case study for Data Science Interview – https://youtu.be/7pzcgpCr6Ps

Tableau Tutorial

  1. Introduction to Tableau | Part 1/3 – https://youtu.be/kSZ6c07gNVg

Python and MS Excel Quick Revision

  1. String function in Python – https://youtu.be/SIlhAPkj-us
  2. Tuple Quick Revision – https://youtu.be/2TVn5tKD5gA
  3. Dictionary Most asked interview questions – https://youtu.be/KgOQ0FT4Ebk
  4. VLookUp in Excel easy explanation – https://youtu.be/UNCWmQRo2uQ
  5. Hlookup and Lookup In Excel  – https://youtu.be/7Y0r_oihiPw
  6. Index and Match In Excel – https://youtu.be/of4G952ksMo
  7. Pivot Tables And Charts in MS Excel – https://youtu.be/re6OCNso26I
  8. Create Sales Dashboard in MS Excel in 20 minutes – https://youtu.be/QWpjRSKBmAw

Case Study and Guesstimates Videos – Free Analytics Videos

  1. How to solve a case study in an interview? Do’s and Don’ts – https://youtu.be/KCEpOVqRIPc
  2. How to solve guesstimates in an interview? – https://youtu.be/BDnqAHfYKGQ
  3. How Netflix Makes Money? – https://youtu.be/nCohE90TdL0
  4. How Spotify Suggests Songs ? https://youtu.be/uhlll0enKX8
  5. McDonald’s wants to open a franchise in a new country, what factors to look for – https://youtu.be/Sod3lK5VhfE
  6. Pharma Case study – https://youtu.be/rMZKwFYmQKY
  7. Flipkart Data Science Case Study – https://youtu.be/uxYiTY7R8kI
  8. Income of Beggar in Bangalore – https://youtu.be/Rb3Iyk8BxWI
  9. Number of Red Maruti Swift Car in Delhi – https://youtu.be/ncYN3BEYUPE
  10. How many checks does a bank’s branch process per day ? https://youtu.be/056VFnKjrqc
  11. Length of road in Mumbai Guesstimate – https://youtu.be/GAB6gOxynW8

Numpy Videos

  1. Index,shape,reshaping and slicing – https://youtu.be/qifEobHDf9s
  2. Iterate, Join, Split,Search and Sort – https://youtu.be/pBUfjkxY0yA
  3. Generating random number, random array, float and random distribution – https://youtu.be/DtzYb3VpRUQ
  4. Random permutation, shuffling array, using seaborne module – https://youtu.be/R21zY7qxA6U
  5. Normal Distribution – https://youtu.be/HonpNdlZnvk
  6. Binomial Distribution – https://youtu.be/K0JLSf2D1rg
  7. Poisson Distribution – https://youtu.be/CxywnPxeJBo
  8. Uniform and Logistic Distribution – https://youtu.be/dFhWc7TgTPw
  9. Ufunc in Numpy Introduction – https://youtu.be/XlNW2mByVfE
  10. Ufunc in Numpy arithmetic Operation – https://youtu.be/Us2UdgEoSlw
  11. Chi Square, Rayleigh Distribution in Python – https://youtu.be/yZFF0iNrl6U
  12. Multinomial, exponential distribution in Python – https://youtu.be/C8UBTf-KsjI
  13. Ufunc Rounding Decimals, Logs, Summations – https://youtu.be/JUQ-vraBbcE
  14. Ufunc Products,Differences,Finding Lcm,Gcd in Python – https://youtu.be/9jq8Z3-5dmQ

Scipy and Python Data Type

  1. Introduction to Scipy – https://youtu.be/S4ohJh2KEuE
  2. Scipy Graphs Adjacency mztrix,connected components, distr,floyd – https://youtu.be/7HTUlEUpLaI

Statistics Videos

  1. Random Variable and Sample – https://youtu.be/yYWK2ABRc2U
  2. Types of variables – https://youtu.be/pjZjAWTK_h0
  3. Mean, Median, mode – https://youtu.be/BvOxRc538YY
  4. Distribution in Statistics – https://youtu.be/SZ-87a5utHQ
  5. Population mean sample mean – https://youtu.be/Jf9siV84vX0
  6. Measure of dispersion – https://youtu.be/2uJPyFk_iPI
  7. Normal distribution in Statistics – https://youtu.be/REdx35O1uzg
  8. Z score in Statistics – https://youtu.be/Z2IPPnCgQaQ
  9. Hypothesis testing – https://youtu.be/rpHgUxjXlQY
  10. Probability Distribution – https://youtu.be/zoFgc2mfplM

Python Pandas Videos

  1. Top 20 Pandas Functions asked in any interview – https://youtu.be/B_LA2sM42ls
  2. Complete Pandas Tutorial – https://youtu.be/AjFx9HoO264
  3. Importing filed in Pandas – https://youtu.be/6xJwLmLUHIY
  4. Apply, Map in Pandas – https://youtu.be/sG6XavjjvNA
  5. Apply Map – https://youtu.be/er9psyc2bv4
  6. Lambda Functions – https://youtu.be/898BerR28EE
  7. Slicing Data Frames – https://youtu.be/QPIAGBLMM7A
  8. Treating Missing Values – https://youtu.be/RCZ1JsTn_lI
  9. Pivot Table in Pandas – https://youtu.be/c-Hp6Lh6aMY
  10. Combining Data Frame – https://youtu.be/gLKQVivpXwo
  11. Group by  – https://youtu.be/pFii_t3DOII
  12. Stacking – https://youtu.be/n_SlDSnaqQ4
  13. Type Conversion – https://youtu.be/AN4dPVeY7r8

Python Visualization Videos

  1. Introduction to Visualization – https://youtu.be/hbvsODGL0m0
  2. Visualization in Python – https://youtu.be/-QBn-vhNUt0
  3. Exploratory Data Analysis in Python – https://youtu.be/0-85LWpfPso
  4. Line and Bar Chart in Python – https://youtu.be/tcUG7gPCvRA
  5. Scatter Plot in Python – https://youtu.be/uSI6fgP1XMg
  6. Histogram in Python – https://youtu.be/JdKD6VqrdFI
  7. Dis Joint Pair Plotting in Python – https://youtu.be/i772cwQB7Mw
  8. PieCharts SubPlots in Python – https://youtu.be/r5Lmd-tS8_0
  9. Box Plot and Violin Plot in Python – https://youtu.be/rhfUZHOEKcw
  10. Count Plot and Bar Plot in Python – https://youtu.be/-NRcujvF7to
  11. Heat Map Facet Grid in Python – https://youtu.be/kdAE3MjWMbM

Code in Python

  1. Sum, prod of digits, list in Python – https://youtu.be/DC36GRT1qpM
  2. Maximum and Minimum in Python – https://youtu.be/vx9SFpQ6BSg
  3. Factorial in Python – https://youtu.be/Mlff85OPkns
  4. Dictionary Questions in Python – https://youtu.be/temb0PRiECY
  5. Palindrome Number in Python – https://youtu.be/U4ynAsTYhgg
  6. Prime Number in Python – https://youtu.be/ilK2Lff-6rk
  7. Simple and Compound Interest in Python – https://youtu.be/NgFkf9xYXvg
  8. Separate Odd and Even elements from a List in Python – https://youtu.be/9ZuuM-BgVm4
  9. Rotate an array in Python – https://youtu.be/Bqwc-CdylIw
  10. Split an array and add the first part at the end in Python – https://youtu.be/uBHNQWvGSEU
  11. Fibonacci Series and its cases in Python – https://youtu.be/k6Ks_HOszZw
  12. Prime Number and its cases in Python  – https://youtu.be/nEYnkZqRd-A
  13. Fibonacci and cube sum in Python – https://youtu.be/WrAfsddNtSA
  14. Factorial and Armstrong in Python – https://youtu.be/BBDrTeDFhBw
  15. Sum and largest of an array in Python – https://youtu.be/Bze4QIqqX2k
  16. Largest element using 3 methods in Python – https://youtu.be/LQ3eVZeY1oE
  17. Matrix arithmetic operations in Python – https://youtu.be/0SdDUlooLlo
  18. Rotate array using reversal algorithm – https://youtu.be/gOpAYn4AeBs
  19. Reverse a list in Python – https://youtu.be/NdFNAK3OXjo
  20. Find the length of a list in Python 3 ways – https://youtu.be/Fb5rOUDiRsQ
  21. 3 ways to find the 2nd largest of the list – https://youtu.be/xXTK_pc-FbU
  22. 3 methods to check if element is present in the list – https://youtu.be/-pAkequiYSs
  23. Swap elements in the list – https://youtu.be/ArveDnHiXRU
  24. Remainder of array multiplication divided by a number n – https://youtu.be/kymhbILz40A
  25. Swap elements in Python – https://youtu.be/goij4fQ-u-k
  26. Reverse a given list in Python – https://youtu.be/PznKVOozTtU
  27. Break a list into chunks of size N in Python – https://youtu.be/lLwjCZ8Fn90
  28. Cloning or copying of list in python – https://youtu.be/k7qv1rczb-Y
  29. Count of element in list in Python – https://youtu.be/GX4Ue1XXMac
  30. Find tuple indices from other tuple list – https://youtu.be/rO9TdXIGRYI
  31. Flatten tuple of list into tuple in Python – https://youtu.be/d6DBr_EmHnE
  32. Removing elements from lists in Python – https://youtu.be/6OUczhicFhg
  33. Print duplicates from a list in Python – https://youtu.be/IA7tCtgONZY
  34. Sort by frequency of 2nd element in tuple list – https://youtu.be/FUR9gX0vBU8
  35. Sort values of first list using second list – https://youtu.be/h2bBt0IESIA
  36. Sum of digits in list in Python – https://youtu.be/Km5yVwUwRy0
  37. Time Conversion in Python – https://youtu.be/EIOkw14vt9k
  38. Current Date and Time in Python  – https://youtu.be/ioYJwr0HtlY
  39. Time Conversion in Python  – https://youtu.be/cId5aanmVt8
  40. Selection Sort in simple terms in Python – https://youtu.be/TdNq2TfGHOo
  41. Linear and Binary Search in simple terms – https://youtu.be/ivqX3Pf6i34
  42. Insertion Sort in simple terms Python – https://youtu.be/BQKAjW9byp0

How The Data Monk Can Help You Succeed

Our YouTube channel is a treasure trove of resources designed to make learning easy and impactful. Here’s how we can support you:

  • Step-by-Step Tutorials
    We simplify complex concepts into easy-to-follow videos, ensuring you grasp both theoretical and practical aspects.
  • Real Interview Questions
    Gain confidence by practicing real interview questions from companies like Google, Amazon, and startups.
  • Comprehensive Playlists
    Explore dedicated playlists on SQL, Python, Tableau, and more to build a structured learning path.
  • Industry Insights
    Understand how analytics tools and concepts are applied in real-world scenarios, bridging the gap between theory and practice.
  • Continuous Learning
    Stay updated with the latest trends in analytics and machine learning through our regular uploads.

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About TheDataMonkGrand Master

I am the Co-Founder of The Data Monk. I have a total of 6+ years of analytics experience 3+ years at Mu Sigma 2 years at OYO 1 year and counting at The Data Monk I am an active trader and a logically sarcastic idiot :)

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