Youtube Videos for Data Science Interviews
Youtube Videos for Data Science Interviews
We have around 100 Videos explaining topics which are important for interview point of view.
You can learn theory from our portal or your course book or from youtube. But, when it comes to prepare for Interview questions, then just go deeply through only a handful of important topics. Revise each of these concepts to bridge the gap between good preparation and cracking an interview
Right now we have videos on
– SQL
– Python Pandas
– Python Numpy
– Python Visualization
– Company Wise Interview Questions
– Case Studies
– Statistics
– Code in Python
We are working on creating a series of Machine Learning videos, more case studies and company interview videos, and videos on Cloud computing.
This is our channel – The Data Monk
Youtube Channel – The Data Monk
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Youtube Videos for Data Science Interviews
List of all the free resources to crack Data Analyst interview in 30 Days – https://youtu.be/LU-PTTRjacE
Company Interview Videos
- List of all the free resources to crack Data Analyst interview in 30 Days – https://youtu.be/LU-PTTRjacE
- Most important certification for Data Science and Analytics Jobs – https://www.youtube.com/watch?v=0PTUH0Fwi2I
- Zomato’s Business Analyst Interview – https://youtu.be/UD1rCwuaoAU
- Data Analyst Vs Data Scientist Vs ML Engineer Vs DevOps Engineer – https://youtu.be/pVJK3lqeOzA
- 14 Amazon Principle explained in Hindi – https://youtu.be/pWIj42NhpDM
- Walmart Interview Questions – https://youtu.be/gy2u3gomRIE
- Sapient Analytics Interview Questions – https://youtu.be/ppxGgHWgsbU
- Uber Data Scientist Interview Questions – https://youtu.be/u7rZgQRCUPo
- Microsoft Data Scientist Interview Questions – https://youtu.be/e-NroGCzWYU
- Postman Data Analyst Interview Questions – https://youtu.be/I7xezD_AiBI
- Salesforce Data Scientist Interview Questions – https://youtu.be/qRr12FKt3Ho
- Flipkart Data Analyst Interview – https://youtu.be/4GgA2bDDiaY
- Indeed Data Scientist Interview – https://youtu.be/L8Gig5YWlKw
- Goldman Sachs Data Scientist Interview – https://youtu.be/759EyftaOuE
- Dream11 Data Scientist Interview – https://youtu.be/I2HgB_6V9To
- Intuit Data Scientist Interview – https://youtu.be/AhJi228Na-U
- PharmEasy Data analyst Interview – https://youtu.be/tDOkpEuWpgA
Tableau Tutorial
- Introduction to Tableau | Part 1/3 – https://youtu.be/kSZ6c07gNVg
Python and MS Excel Quick Revision
- String function in Python – https://youtu.be/SIlhAPkj-us
- Tuple Quick Revision – https://youtu.be/2TVn5tKD5gA
- Dictionary Most asked interview questions – https://youtu.be/KgOQ0FT4Ebk
- VLookUp in Excel easy explanation – https://youtu.be/UNCWmQRo2uQ
- Hlookup and Lookup In Excel – https://youtu.be/7Y0r_oihiPw
- Index and Match In Excel – https://youtu.be/of4G952ksMo
- Pivot Tables And Charts in MS Excel – https://youtu.be/re6OCNso26I
- Create Sales Dashboard in MS Excel in 20 minutes – https://youtu.be/QWpjRSKBmAw
Case Study and Guesstimates Videos
- How to solve a case study in an interview? Do’s and Don’ts – https://youtu.be/KCEpOVqRIPc
- How to solve guesstimates in an interview? – https://youtu.be/BDnqAHfYKGQ
- How Netflix Makes Money? – https://youtu.be/nCohE90TdL0
- How Spotify Suggests Songs ? https://youtu.be/uhlll0enKX8
- McDonald’s wants to open a franchise in a new country, what factors to look for – https://youtu.be/Sod3lK5VhfE
- Pharma Case study – https://youtu.be/rMZKwFYmQKY
- Flipkart Data Science Case Study – https://youtu.be/uxYiTY7R8kI
- Income of Beggar in Bangalore – https://youtu.be/Rb3Iyk8BxWI
- Number of Red Maruti Swift Car in Delhi – https://youtu.be/ncYN3BEYUPE
- How many checks does a bank’s branch process per day ? https://youtu.be/056VFnKjrqc
- Length of road in Mumbai Guesstimate – https://youtu.be/GAB6gOxynW8
SQL Videos
- Fetch Duplicate Rows in SQL – https://youtu.be/MGHNrxsHKcg
- Like Operator in sql – https://youtu.be/IqMMbH6Jw0w
- Substring and Replace in SQL – https://youtu.be/Pzb9tBdXKyc
- Aggregate Functions in SQL – https://youtu.be/6H5neKpUz9E
- Cumulative Sum in SQL – https://youtu.be/COEEGPXjNbk
- Row number() in SQL – https://youtu.be/1actE8UL4yM
- Ntile() – https://youtu.be/xbjyXk7oSdY
- Rank vs Dense Rank – https://youtu.be/f32Yne_4G00
- Where vs Having – https://youtu.be/rtZpbyyQtVk
- Lead and Lag – https://youtu.be/U_OQD3XpagQ
- Joins – https://youtu.be/_V38OgS1s5M
- Keys – https://youtu.be/yPZG6qurO_Q
- 1NF and 2NF – https://youtu.be/7CyxIOj9zTs
- 3 NF and BCNF – https://youtu.be/VuJ7gnaas5k
- Most Asked Interview Questions – https://youtu.be/UGTsPRUIkYg
- Odd even rows – https://youtu.be/-tLTAuvHAU0
- Delete vs Truncate vs Drop in SQL – https://youtu.be/cSM86aZRhMo
- SQL Tricky Analytics Interview Questions – https://youtu.be/MRgZKeYx1NY
- Binary Tree in SQL – https://youtu.be/oAD-YUafmB8
- Joins Advance Interview Questions – https://youtu.be/pf_RdiCBQw4
- Facebook SQL Interview Questions – https://youtu.be/LDYdcH82IO0
- Tricky SQL Interview Questions Part 2 – https://youtu.be/B8Zy9bcqai0
Machine Learning in Python
- Introduction to Machine Learning and AI – https://youtu.be/MTHEIQk5zwI
- Introduction to Linear and Logistic Regression in Machine Learning – https://youtu.be/IqBAm9nJLng
- Introduction to Decision Tree in Machine Learning – https://youtu.be/7PrDWwM0dv8
- Python Basics Revision in 30 minutes – https://youtu.be/0IRMAXTgZIw
- EDA in Machine Learning – https://youtu.be/zw5AruehIZo
- Linear Regression Theory and Code in 30 minutes (Python) – https://youtu.be/VzeAxFkYuf8
- Logistic Regression Theory and Code in 30 minutes (Python) – https://youtu.be/l4Fyfmm1ry0
- Decision Tree Code and Theory in 30 minutes – https://youtu.be/1Ev35ZZh18U
- Complete LSTM model with Stock price prediction at 98% accuracy – Code and Theory – https://youtu.be/R97p_Y9U6Io
- Random Forest Adaboost Theory and Code in Python – https://youtu.be/3NhH8h0_kZk
- Complete Support Vector Machine Algorithm, Theory and Code in Python – https://youtu.be/im05sGaEbCU
- XGBoost Theory and Code in 30 mins in Python – https://youtu.be/0pHEFxVawks
- K Nearest Neighbour KNN code and theory in 30 mins – https://youtu.be/0NZakEXw8n8
- Naive Bayes Theory and Code in 30 minutes in Python – https://youtu.be/KGP0NZ-4tHU
- K-Mean, Hierarchical and DBSCAN Theory and Code in Python – https://youtu.be/iT5W8i-JOpE
- Association (Apriori, ECLAT, FP-Growth) Theory and Code in Python – https://youtu.be/7Uk-cpOEecI
- Dimension Reduction Theory and Code in Python – https://youtu.be/HDIWTZnl3hU
- Regression case study for Data Science Interview – https://youtu.be/7pzcgpCr6Ps
Numpy Videos
- Index,shape,reshaping and slicing – https://youtu.be/qifEobHDf9s
- Iterate, Join, Split,Search and Sort – https://youtu.be/pBUfjkxY0yA
- Generating random number, random array, float and random distribution – https://youtu.be/DtzYb3VpRUQ
- Random permutation, shuffling array, using seaborne module – https://youtu.be/R21zY7qxA6U
- Normal Distribution – https://youtu.be/HonpNdlZnvk
- Binomial Distribution – https://youtu.be/K0JLSf2D1rg
- Poisson Distribution – https://youtu.be/CxywnPxeJBo
- Uniform and Logistic Distribution – https://youtu.be/dFhWc7TgTPw
- Ufunc in Numpy Introduction – https://youtu.be/XlNW2mByVfE
- Ufunc in Numpy arithmetic Operation – https://youtu.be/Us2UdgEoSlw
- Chi Square, Rayleigh Distribution in Python – https://youtu.be/yZFF0iNrl6U
- Multinomial, exponential distribution in Python – https://youtu.be/C8UBTf-KsjI
- Ufunc Rounding Decimals, Logs, Summations – https://youtu.be/JUQ-vraBbcE
- Ufunc Products,Differences,Finding Lcm,Gcd in Python – https://youtu.be/9jq8Z3-5dmQ
Scipy and Python Data Type
- Introduction to Scipy – https://youtu.be/S4ohJh2KEuE
- Scipy Graphs Adjacency mztrix,connected components, distr,floyd – https://youtu.be/7HTUlEUpLaI
Statistics Videos
- Random Variable and Sample – https://youtu.be/yYWK2ABRc2U
- Types of variables – https://youtu.be/pjZjAWTK_h0
- Mean, Median, mode – https://youtu.be/BvOxRc538YY
- Distribution in Statistics – https://youtu.be/SZ-87a5utHQ
- Population mean sample mean – https://youtu.be/Jf9siV84vX0
- Measure of dispersion – https://youtu.be/2uJPyFk_iPI
- Normal distribution in Statistics – https://youtu.be/REdx35O1uzg
- Z score in Statistics – https://youtu.be/Z2IPPnCgQaQ
- Hypothesis testing – https://youtu.be/rpHgUxjXlQY
- Probability Distribution – https://youtu.be/zoFgc2mfplM
Python Pandas Videos
- Top 20 Pandas Functions asked in any interview – https://youtu.be/B_LA2sM42ls
- Complete Pandas Tutorial – https://youtu.be/AjFx9HoO264
- Importing filed in Pandas – https://youtu.be/6xJwLmLUHIY
- Apply, Map in Pandas – https://youtu.be/sG6XavjjvNA
- Apply Map – https://youtu.be/er9psyc2bv4
- Lambda Functions – https://youtu.be/898BerR28EE
- Slicing Data Frames – https://youtu.be/QPIAGBLMM7A
- Treating Missing Values – https://youtu.be/RCZ1JsTn_lI
- Pivot Table in Pandas – https://youtu.be/c-Hp6Lh6aMY
- Combining Data Frame – https://youtu.be/gLKQVivpXwo
- Group by – https://youtu.be/pFii_t3DOII
- Stacking – https://youtu.be/n_SlDSnaqQ4
- Type Conversion – https://youtu.be/AN4dPVeY7r8
Python Visualization Videos
- Introduction to Visualization – https://youtu.be/hbvsODGL0m0
- Visualization in Python – https://youtu.be/-QBn-vhNUt0
- Exploratory Data Analysis in Python – https://youtu.be/0-85LWpfPso
- Line and Bar Chart in Python – https://youtu.be/tcUG7gPCvRA
- Scatter Plot in Python – https://youtu.be/uSI6fgP1XMg
- Histogram in Python – https://youtu.be/JdKD6VqrdFI
- Dis Joint Pair Plotting in Python – https://youtu.be/i772cwQB7Mw
- PieCharts SubPlots in Python – https://youtu.be/r5Lmd-tS8_0
- Box Plot and Violin Plot in Python – https://youtu.be/rhfUZHOEKcw
- Count Plot and Bar Plot in Python – https://youtu.be/-NRcujvF7to
- Heat Map Facet Grid in Python – https://youtu.be/kdAE3MjWMbM
Code in Python
- Sum, prod of digits, list in Python – https://youtu.be/DC36GRT1qpM
- Maximum and Minimum in Python – https://youtu.be/vx9SFpQ6BSg
- Factorial in Python – https://youtu.be/Mlff85OPkns
- Dictionary Questions in Python – https://youtu.be/temb0PRiECY
- Palindrome Number in Python – https://youtu.be/U4ynAsTYhgg
- Prime Number in Python – https://youtu.be/ilK2Lff-6rk
- Simple and Compound Interest in Python – https://youtu.be/NgFkf9xYXvg
- Separate Odd and Even elements from a List in Python – https://youtu.be/9ZuuM-BgVm4
- Rotate an array in Python – https://youtu.be/Bqwc-CdylIw
- Split an array and add the first part at the end in Python – https://youtu.be/uBHNQWvGSEU
- Fibonacci Series and its cases in Python – https://youtu.be/k6Ks_HOszZw
- Prime Number and its cases in Python – https://youtu.be/nEYnkZqRd-A
- Fibonacci and cube sum in Python – https://youtu.be/WrAfsddNtSA
- Factorial and Armstrong in Python – https://youtu.be/BBDrTeDFhBw
- Sum and largest of an array in Python – https://youtu.be/Bze4QIqqX2k
- Largest element using 3 methods in Python – https://youtu.be/LQ3eVZeY1oE
- Matrix arithmetic operations in Python – https://youtu.be/0SdDUlooLlo
- Rotate array using reversal algorithm – https://youtu.be/gOpAYn4AeBs
- Reverse a list in Python – https://youtu.be/NdFNAK3OXjo
- Find the length of a list in Python 3 ways – https://youtu.be/Fb5rOUDiRsQ
- 3 ways to find the 2nd largest of the list – https://youtu.be/xXTK_pc-FbU
- 3 methods to check if element is present in the list – https://youtu.be/-pAkequiYSs
- Swap elements in the list – https://youtu.be/ArveDnHiXRU
- Remainder of array multiplication divided by a number n – https://youtu.be/kymhbILz40A
- Swap elements in Python – https://youtu.be/goij4fQ-u-k
- Reverse a given list in Python – https://youtu.be/PznKVOozTtU
- Break a list into chunks of size N in Python – https://youtu.be/lLwjCZ8Fn90
- Cloning or copying of list in python – https://youtu.be/k7qv1rczb-Y
- Count of element in list in Python – https://youtu.be/GX4Ue1XXMac
- Find tuple indices from other tuple list – https://youtu.be/rO9TdXIGRYI
- Flatten tuple of list into tuple in Python – https://youtu.be/d6DBr_EmHnE
- Removing elements from lists in Python – https://youtu.be/6OUczhicFhg
- Print duplicates from a list in Python – https://youtu.be/IA7tCtgONZY
- Sort by frequency of 2nd element in tuple list – https://youtu.be/FUR9gX0vBU8
- Sort values of first list using second list – https://youtu.be/h2bBt0IESIA
- Sum of digits in list in Python – https://youtu.be/Km5yVwUwRy0
- Time Conversion in Python – https://youtu.be/EIOkw14vt9k
- Current Date and Time in Python – https://youtu.be/ioYJwr0HtlY
- Time Conversion in Python – https://youtu.be/cId5aanmVt8
- Selection Sort in simple terms in Python – https://youtu.be/TdNq2TfGHOo
- Linear and Binary Search in simple terms – https://youtu.be/ivqX3Pf6i34
- Insertion Sort in simple terms Python – https://youtu.be/BQKAjW9byp0
- Second Largest element of the list in Python – https://youtu.be/ZLRLqd2cbOc
Website – https://thedatamonk.com/
Get all the youtube videos here – https://thedatamonk.com/youtube-videos-for-data-science-interviews/
Code in Python for Data Science – https://www.youtube.com/playlist?list=PLqVs3n1U1UVjDC8VL-t9SRrxMRtouS3s6
Company wise Data Science Interview Questions – https://www.youtube.com/playlist?list=PLqVs3n1U1UVjnYEaaREdR0VHClhOXSpwI
Complete Numpy Tutorial – https://www.youtube.com/playlist?list=PLqVs3n1U1UVh5uCCC_pZbzYXfqp2UaAn0
Complete Python Pandas Tutorial – https://www.youtube.com/playlist?list=PLqVs3n1U1UVg6GnuP1Ry-zb6MzluOCXh9
SQL Complete Playlist – https://www.youtube.com/playlist?list=PLqVs3n1U1UVhxBeN7gYAZBjT9AcOh9Voe
Case Study and Guesstimates Complete Playlist – https://www.youtube.com/playlist?list=PLqVs3n1U1UVhRoDcwWr62TyoZoCzAg0yF
Statistics – https://www.youtube.com/playlist?list=PLqVs3n1U1UViXVrOShp4tq0TYPvsvQVIy
We at The Data Monk aims at bridging the gap between theoretical knowledge and cracking an interview in Analytics domain.
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300+ Solved Python Questions – https://thedatamonk.com/python-questions-for-data-science-interviews/
300+ Solved SQL Questions – https://thedatamonk.com/sql-interview-questions-for-analyst/
100+ Solved Case Studies and Guesstimates – https://thedatamonk.com/case-study-for-data-science-interviews/
100+ Solved Interview Questions in R – https://thedatamonk.com/r-interview-questions/
300 + Solved Machine Learning and Statistics Questions – https://thedatamonk.com/most-asked-machine-learning-questions/
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Comment ( 1 )
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