Your Guide to Crack the Data Scientist Interview
Topic – Crack Data Scientist Interview
In this post, we will check all the resources that you would require to crack the Data Scientist interview. You can cover the Data Scientist syllabus in 30 days with The Data Monk, but this is for Analytics interviews. This post is specifically for Analytics Interviews. Just try to follow the resources below.
The resources to Crack Data Scientist Interview Preparation are split into 4 parts
1. Company wise Data Scientist Interview Questions and Round details, we cover the most important concepts as well as questions that are asked in the interviews
2. Most important concept videos for DS Interviews – We have 50+ videos on YouTube freely available, these are not simple concepts or basic questions(like in other channels). We only concentrate on the most important concepts concerning the interview questions
3. Data Scientist Complete e-book for all the questions that will be asked in the interviews – This is the master set of questions, learn it and you will be able to solve more than 90% of questions in any Analytics interview round
Company Wise Data Scientist Interview Questions
In this section we will have all the company-wise interview questions, we already have a lot of posts on the same. Stay tuned so we can update this section.
Coming soon
Data Scientist 23 e-book bundle @ Rs. 1999
This e-book is for candidates targeting the Data Science and Machine Learning domain. The book is a bundle of 23 e-books targeting all the important Machine Learning algorithms, along with Python code as well as e-books on SQL, Python, case studies, etc.
This e-book will have all the interview questions and answers in layman’s terms. Give it a try and you will get the best result with these resources.
Link to buy the 23 e-book Machine Learning bundle
The list of e-books in this bundle is given below:
- Ada Boost in Python with interview questions
- Python Questions to crack Analytics interviews
- SQL Tricky Interview Questions
- Case Studies and Guesstimates for Analytics Interviews
- Convolution Neural Network model and interview question
- Artificial Neural Network model and interview question
- Numpy Most Asked Interview Questions
- Statistics Most Asked Interview Questions
- Forecasting ARIMA, ARIMAX, SARIMA Interview Questions
- Clustering Interview Questions
- Long Short Term Memory Interview Questions
- A/B Testing Interview Questions
- SVM and Linear Regression Interview Questions
- Tensor Flow Interview Questions
- AWS Interview Questions for Analytics domain
- Data Preprocessing in Python
- Logistic Regression Interview Questions
- MS Excel in Analytics
- Sentiment Analysis interview questions in Python
- Pandas Interview Questions
- Natural Language Processing Interview Question and complete Python Code
- K-Mean interview Questions and implementation in Python
- Linear Regression Complete guide
Data Scientist Videos to Ace Interviews
We have a dedicated list of 200+ videos on YouTube, you can go through any topic of your interest and understand the topic.
- 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
Also, we have videos on interview experiences and questions asked in these interviews on our YouTube channel.
Do subscribe to the channel
