Data Validation Techniques | Data Analytics Interview Questions and Answers | Beginner level
Skills:
Data Literacy90%
Key Takeaways
The video explains data validation techniques, including field level validation, form level validation, data saving validation, and search criteria validation, to ensure data accuracy and reliability in data analytics.
Full Transcript
all right this question is what is data validation explain different types of data validation techniques for this first let's understand what data validation is it is a process of ensuring that data is accurate consistent and meets the required quality standards in simple words it's like a set of checks and uh tests that uh data goes through to verify its reliability and integrity now there are many types of data validation techniques that are used today one of them being field level validation field level validation is done across each of the fields to ensure that there are no errors in the data entered by the user think of this like a spell checker for individual words another type uh is form level validation form level validation is done when the user completes working with the form but before the information is saved in the context of form level data validation a form typically refers to to a structured input interface or a document that collects and organizes data from users and form level validation is like reviewing the whole form to make sure it's complete and makes sense before submitting it like proofreading a job application next is data saving validation this form of validation takes place uh when the file or the database record is being saved this is like checking for errors right before you save a document or record uh ensuring everything is is in the right format finally search criteria validation search criteria validation is used to check whether valid results are returned when the user is looking for something think of this like using a search engine where you are making sure your Search terms are clear and will give you the right result when you look for something online so this is a basic idea about different types of data validation techniques
Original Description
In the competitive landscape of data analysis, understanding data validation is crucial. Dive deep into this topic in our video as we explore various data validation techniques, ensuring your data is accurate, reliable, and ready for analysis. From cross-validation to range checks, equip yourself with the knowledge to validate your data effectively and make informed decisions.
Are you ready to ace your Data Analytics interview? Dive into the world of data with our latest Data Analytics Interview Series. Whether you're new to the field or brushing up on your skills, we've got you covered. Learn about essential topics such as the steps involved in data analysis, the distinction between data analysis and data mining, various types of data validation techniques, and strategies for handling outliers. Delve into the nuances of sampling methods, hypothesis testing, normal distribution, and the differences between univariate, bivariate, and multivariate analysis. We'll also demystify concepts like overfitting versus underfitting and explore common challenges faced by data analysts.
-------------------------------------------
🔥 Data Analyst Playlist
-------------------------------------------
Be a Data Analyst: https://www.youtube.com/playlist?list=PLdKd-j64gDcDbnQZeSBWumpT40nosLPDE
-------------------------------------------
🔥 Interview Series Playlist
-------------------------------------------
Crack your SQL Interviews: https://youtu.be/7YwUFUf8oj0?si=RjmuNgeduynISZ0x
Crack your Python Interviews: https://youtu.be/IT9A6ZtR_9s?si=T3YWYJ227Q526GkW
-------------------------------------------
🔥 Important Video Links
-------------------------------------------
👉 AI Tools to Build Resume: https://youtu.be/VF2D9hEV1cE
👉 AI Tools to Build LinkedIn: https://youtu.be/nOUCLLem0-w
👉 AI Tools to Build Cover Letter: https://youtu.be/qjyjdgw-SgQ
👉 AI tools to Crack Interviews: https://youtu.be/0DLIVyXEKhQ
👉 Switching to Data Science: https://youtu.be/gOAx2nVZpyw
👉SQL Full C
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Playlist
Uploads from Analytics Vidhya · Analytics Vidhya · 0 of 60
← Previous
Next →
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
The DataHour: Data Science in Retail
Analytics Vidhya
The DataHour: Anomaly detection using NLP and Predictive Modeling
Analytics Vidhya
The DataHour: Energy Data Science Project from Scratch
Analytics Vidhya
The DataHour: Explainable AI Need and Implementation
Analytics Vidhya
The DataHour: Google Cloud AI/ML
Analytics Vidhya
Prediction to Production in Machine Learning #machinelearning #prediction
Analytics Vidhya
Practical Applications of Data science in Ecommerce
Analytics Vidhya
How to tackle Overfitting?#machinelearning #overfitting
Analytics Vidhya
Building Data Pipelines on GCP #googlecloud #datapipelines #data
Analytics Vidhya
Hands-on with A/B Testing #abtesting #datascience
Analytics Vidhya
Efficient Implementations of Transformers #transformers #cnn #machinelearning
Analytics Vidhya
Modern Deep Learning Architecture #deeplearning #architecture #deeplearningtutorial
Analytics Vidhya
Key steps for Designing Artificial Neural Network (ANN) for Image classification #machinelearning
Analytics Vidhya
5 things you should know about Azure SQL #azure #sql #datahour #datascience
Analytics Vidhya
AI & ML in the Automotive Industry #machinelearning #ai
Analytics Vidhya
Building Machine Learning Models in BigQuery
Analytics Vidhya
NLP aspects in Telecommunication Industry
Analytics Vidhya
Practical Time Series Analysis
Analytics Vidhya
Fundamentals of Quantum Computing
Analytics Vidhya
A DAY IN THE LIFE of a Data Scientist (From waking up to working on algorithms)
Analytics Vidhya
Classification Machine Learning Model from Scratch
Analytics Vidhya
Knowledge Graph Solutions using Neo4j
Analytics Vidhya
Model Guesstimation (MLOps)
Analytics Vidhya
ETL Pipelines in Google Cloud Platform
Analytics Vidhya
Key steps for Designing Convolutional Neural Network(CNN) for Image Classification
Analytics Vidhya
Getting Started with AWS EC2 #amazon #aws
Analytics Vidhya
How to Use Azure NLP and Graph Databases for Intelligent Knowledge Mining
Analytics Vidhya
Certified AI & ML BlackBelt Plus Program #shorts
Analytics Vidhya
Visualizing Data using Python #machinelearning #visualization #python
Analytics Vidhya
DCNN for Machine RUL Prediction using Time-series Data #timeseries #machinelearning #datascience
Analytics Vidhya
M in ML stands for Math & Magic
Analytics Vidhya
An Unsupervised ML approach using Clustering
Analytics Vidhya
Customizing Large Language Models GPT3 for Real-life Use Cases #gpt3 #datascience
Analytics Vidhya
Model Parameters vs Hyperparameters - Techniques in ML Engineering #machinelearning
Analytics Vidhya
Practical MLOps #mlops #datascience
Analytics Vidhya
Data Engineering with Databricks #dataengineering #databricks
Analytics Vidhya
Multi-Objective Optimisation
Analytics Vidhya
When Airflow Meets Kubernetes
Analytics Vidhya
AI in Banking
Analytics Vidhya
Learn Convolutional Neural Network for Image Recognition
Analytics Vidhya
Extracting Value from Data
Analytics Vidhya
How to measure Marketing Channel Effectiveness
Analytics Vidhya
Transforming Lives | Data Science Immersive Bootcamp
Analytics Vidhya
Stock Market Analysis - AI driven approach
Analytics Vidhya
Become a Data Engineering Professional in 2022 | Future Trends + Skills Required
Analytics Vidhya
Ensemble Techniques in Machine Learning #machinelearning #ensemble #datascience
Analytics Vidhya
The Power of Visualization | Tableau Full Course | Analytics Vidhya
Analytics Vidhya
Demand for Data Engineers is on the Rise | Data Engineer | Analytics Vidhya
Analytics Vidhya
Data Visualization in Data Science | DataHour | Analytics Vidhya
Analytics Vidhya
Role of Optimization in Machine Learning & Deep Learning | DataHour | Analytics Vidhya
Analytics Vidhya
Solving any Machine Learning Problem | Approach and Steps Involved
Analytics Vidhya
Topic Modeling Explained with Implementation | Using LDA in Python | DataHour by Arpendu Ganguly
Analytics Vidhya
Data Engineering in E-Commerce | The Best Case Study
Analytics Vidhya
Introduction to Classification using Azure Machine Learning | DataHour | Analytics Vidhya
Analytics Vidhya
Introduction to Federated Learning | DataHour | Analytics Vidhya
Analytics Vidhya
Diffusion Models for Generative Arts | DataHour | Analytics Vidhya
Analytics Vidhya
Master Google Analytics in 1 Hour | DataHour | Analytics Vidhya
Analytics Vidhya
Learn Hypothesis Testing | DataHour | Analytics Vidhya
Analytics Vidhya
A Practical Approach to Kaggle Competition | DataHour | Analytics Vidhya
Analytics Vidhya
Making AI work for Business | DataHour | Analytics Vidhya
Analytics Vidhya
More on: Data Literacy
View skill →
Related Reads
📰
📰
📰
📰
Data Science Institute in Tilak Nagar — AI, ML & Python Training
Medium · Data Science
How to Write SQL Queries That Detect Unstable Join Filtering and Inconsistent Results
Medium · Machine Learning
How to Write SQL Queries That Detect Unstable Join Filtering and Inconsistent Results
Medium · Data Science
Fable 5 Hype: Fangirling with Datasets to Build a Lakers Dashboard
Dev.to · L. Cordero
🎓
Tutor Explanation
DeepCamp AI