Tag data science

App Reviews Sentiment Analysis using Python

App Reviews Sentiment Analysis using Python

App Reviews Sentiment Analysis means evaluating and understanding the sentiments expressed in user reviews of mobile applications (apps). It involves using data analysis techniques to determine whether the sentiments in these reviews are positive, negative, or neutral. If you want…

Data Analysis Project Ideas on Marketing

Data Analysis Project Ideas on Marketing

Marketing is a fundamental business activity aimed to promote and sell products or services to customers. The primary goal of marketing is to understand customer needs and preferences, create products or services that meet those needs, and effectively communicate their…

Merge Datasets using Python

Merge Datasets using Python

Merging of Datasets in Data Science is the process of combining multiple datasets into a single, unified dataset. It is done to create a more comprehensive and complete dataset for analysis. If you want to learn the techniques used for…

Cohort Analysis using Python

Cohort Analysis using Python

Cohort Analysis is a data analysis technique used to gain insights into the behaviour and characteristics of specific groups of users or customers over time. If you want to learn how to perform Cohort Analysis, this article is for you.…

Tableau Project Ideas for Data Science

Tableau Project Ideas for Data Science

Tableau is a powerful data visualization tool used by Data Science professionals to transform raw data into interactive and understandable visualizations. It allows users to connect to various data sources, create dynamic charts, graphs, maps, and dashboards, and share these…

Hypothesis Testing Techniques using Python

Hypothesis Testing Techniques using Python

Hypothesis testing is a statistical method used to make decisions about population parameters based on sample data. It involves formulating null and alternative hypotheses, collecting data, and using statistical tests to determine the validity of the null hypothesis. If you…

Data Transformation using Python

Data Transformation using Python

Data Transformation involves converting and modifying data from its original format into a more suitable format for analysis. It aims to enhance the quality, usability, and effectiveness of the data for various analytical tasks. If you want to learn how…

Data Science Project Ideas on E-commerce

Data Science Project Ideas on E-commerce

E-commerce, short for electronic commerce, refers to the buying and selling of goods and services over the Internet. In E-commerce, businesses set up online platforms (websites or mobile apps) to showcase their products or services. Customers browse through these platforms,…

Data Manipulation Interview Questions

Data Manipulation Interview Questions

Data Manipulation means altering, transforming, or restructuring data to prepare it for analysis, reporting, or other data-related tasks. It is a fundamental step in data management and analysis, as raw data often needs to be cleaned, organized, and refined to…

Customer Behaviour Analysis using Python

Customer Behaviour Analysis using Python

Customer Behavior Analysis is a process that involves examining and understanding how customers interact with a business, product, or service. This analysis helps organizations make informed decisions, tailor their strategies, and enhance customer experiences. If you want to learn how…

Data Visualization Guide using Python

Data Visualization Guide using Python

Data Visualization is the graphical representation of data to help individuals, including Data Scientists and decision-makers, comprehend, analyze, and draw insights from complex datasets. It involves using various visual elements such as charts, graphs, plots, and maps to present data…

Types of Data Science Jobs in Finance

Types of Data Science Jobs in Finance

In the Finance domain, there are various Data Science jobs for leveraging data-driven insights to make informed financial decisions, manage risks, detect fraud, and optimize investment strategies. If you are interested in the Finance domain and want to know the…

Book Recommendation System with Python

Book Recommendation System with Python

A Book Recommendation System is a data-driven application designed to suggest books to users based on their preferences, reading history, and behaviour. It employs various data science and machine learning techniques to provide personalized book recommendations, enhancing the reading experience…

Data Science Project Ideas on Retail

Data Science Project Ideas on Retail

The retail domain refers to the sector of the economy that involves the sale of goods and services to consumers for their personal or household use. Retailers purchase products from manufacturers or wholesalers and then sell them to individual consumers…

Scikit-learn for Machine Learning

Scikit-learn for Machine Learning

Scikit-learn is a powerful library that provides a wide range of tools for data preprocessing and machine learning. It is built on top of other popular Python libraries like NumPy, SciPy, and Matplotlib, making it an integral part of the…

Ads CTR Forecasting using Python

Ads CTR Forecasting using Python

Ads CTR Analysis stands for Click-Through Rate Analysis for advertisements. Ads CTR Analysis is the process of examining the effectiveness of online advertisements by measuring the rate at which users click on an ad’s link to reach the advertiser’s website.…

Data Analysis Project Ideas for Resume

Data Analysis Project Ideas for Resume

Data analysis is the systematic process of inspecting, cleaning, transforming, and interpreting raw data to uncover meaningful patterns, trends, and insights. If you are looking for a job as a Data Analyst, you need to have some Data Analysis projects…

Market Basket Analysis using Python

Market Basket Analysis using Python

Market Basket Analysis is a data-driven technique used to uncover patterns and relationships within large transactional datasets, particularly in retail and e-commerce. It helps businesses understand which products or items are often purchased together, providing insights for optimizing product placement,…

SQL Roadmap

SQL Roadmap

SQL is a language that allows users to communicate with relational databases, which are structured storage systems designed to organize and store data in tables. These tables consist of rows and columns, much like a spreadsheet. SQL provides a standardized…

Types of Neural Network Architectures

Types of Neural Network Architectures

Neural network architectures refer to the structural and organizational designs of artificial neural networks (ANNs). These architectures determine how the network is organized, including the number of layers, the number of neurons in each layer, the connections between neurons, and…

Data Resampling using Python

Data Resampling using Python

Data Resampling is a technique used in Data Science to adjust the size or distribution of a dataset. It involves modifying the existing dataset by either increasing or decreasing the number of data points. If you want to learn how…

Feature Selection using Python

Feature Selection using Python

In Machine Learning, Feature Selection is the process of choosing a subset of relevant and significant features (variables or attributes) from features available in a dataset. The goal of selecting features is to improve the performance of a Machine Learning…

Types of Data Visualization Techniques

Types of Data Visualization Techniques

Data Visualization is a critical aspect of data science and analytics. It refers to presenting data in graphical or visual formats, such as charts, graphs, and maps, to help people understand the patterns, trends, and insights hidden within large and…

Data Manipulation using Python

Data Manipulation using Python

Data manipulation is a fundamental process in data science that involves making changes, transformations, or adjustments to raw data to prepare it for analysis. This process is critical because real-world data is often messy, incomplete, or in a format that…

Here’s How Data Professionals use Cloud Platforms

How Data Professionals use Cloud Platforms

Cloud platforms, also known as cloud computing platforms, are comprehensive services provided by technology companies like Amazon, Microsoft, Google, and IBM, among others. These platforms offer a wide range of computing resources, including servers, storage, databases, networking, analytics, Machine Learning,…

Air Quality Index Analysis using Python

Air Quality Index Analysis using Python

Air quality index (AQI) analysis is a crucial aspect of environmental data science that involves monitoring and analyzing air quality in a specific location. It aims to provide a numerical value representative of overall air quality, essential for public health…

Feature Engineering using Python

Feature Engineering using Python

Feature Engineering is a critical step in solving a Data Science problem that involves creating or selecting the most relevant and informative features (input variables) from raw data. These features are then used to train machine learning models, so the…

Data Storytelling Guide

Data Storytelling Guide

Data storytelling is a compelling way of communicating insights and information derived from data by constructing a narrative around it. It involves presenting data-driven findings in a clear, engaging, and relatable manner, similar to how a storyteller weaves a tale.…

Dating Recommendations using Python

Dating Recommendations using Python

Dating Recommendation refers to using data-driven techniques to provide personalized matchmaking suggestions to individuals seeking partners through online dating platforms. These recommendations are based on various factors and preferences, aiming to increase the likelihood of successful and compatible matches. If…

Fitness Watch Data Analysis using Python

Fitness Watch Data Analysis using Python

Fitness Watch Data Analysis involves analyzing the data collected by fitness wearables or smartwatches to gain insights into users’ health and activity patterns. These devices track metrics like steps taken, energy burned, walking speed, and more. So, if you want…

Data Science Project Ideas on Supply Chain

Data Science Project Ideas on Supply Chain

Supply Chain involves coordination among various entities, such as suppliers, manufacturers, distributors, retailers, and customers, to optimize the process to minimize costs, enhance quality, and meet customer demands. If you are aiming for a Data Science job in retail, manufacturing, logistics,…

Finance Concepts for Data Science

Finance Concepts for Data Science

In the Finance industry, various institutions and entities come together to facilitate financial transactions, manage risks, allocate resources, and make informed decisions, including commercial banks, investment banks, asset management firms, insurance companies, stock exchanges, regulatory bodies, and more. If you…

Marketing Concepts for Data Science

Marketing Concepts for Data Science

Marketing is a strategic and dynamic process to promote products or services to a target audience. It involves activities that create awareness, generate interest, and influence consumer behaviour. If you are aiming to work as a Data Science professional in…

Hyperparameter Tuning in Machine Learning

Hyperparameter Tuning in Machine Learning

Hyperparameter tuning is an essential process in Machine Learning that involves optimizing the settings that guide the training of a Machine Learning model. But these settings themselves are not learned from the data. These settings, called hyperparameters, play a vital…

Data Cleaning using Python

Data Cleaning using Python

Data cleaning, also known as data cleansing or scrubbing, is a crucial step in data preparation and analysis. It refers to the systematic and meticulous identification, correction, and removal of errors, inconsistencies, and inaccuracies from data. The main objective of…

Netflix Subscriptions Forecasting using Python

Netflix Subscriptions Forecasting using Python

Forecasting the number of subscriptions Netflix will achieve in a time period is a vital business practice that enables them to plan, strategize, and make data-driven decisions. It enhances operational efficiency, financial planning, and content strategy, ultimately contributing to their…

Plotly for Data Science

Plotly for Data Science

Plotly is a powerful and versatile data visualization library used by Data Science professionals to create interactive and visually appealing plots, charts, and graphs. It enables users to represent complex datasets in a graphical form, making it easier to comprehend…

API-Based Data Science Project Ideas

API-Based Data Science Project Ideas

If you are looking for your first data science job, you need advanced and unique projects mentioned in your resume. A data science professional works with APIs to collect real-time data from company databases and third-party applications. Having at least…

Music Recommendation System using Python

Music Recommendation System using Python & Spotify API

A Music Recommendation System is an application of Data Science that aims to assist users in discovering new and relevant musical content based on their preferences and listening behaviour. Personalized music recommendations have become an essential tool in the digital…

Data Analyst Roadmap

Data Analyst Roadmap

Data analysis is the systematic process of inspecting, cleaning, transforming, and interpreting raw data to uncover meaningful patterns, trends, and insights. A data analyst is a Data Science professional skilled in working with data and equipped with the necessary tools…

Here’s How Amazon Recommendation System Works

How Amazon Recommendation System Works

Recommendation systems are one of the popular applications of Data Science in every domain. The recommendation system of Amazon works by using both collaborative filtering and content-based filtering techniques. Amazon uses collaborative filtering to analyze user behaviour and recommend products…

A/B Testing of Themes using Python

A/B Testing of Themes using Python

Many web platforms and applications perform A/B testing to run experiments to find the best design, layout, or themes for their platform. Instead of relying on assumptions or hunches, applications and websites can test different design variations on real-time users…

Data Analysis Projects using Python

Data Analysis Projects using Python

Data Analysis means understanding the story behind the numbers. It is a systematic process of examining, cleaning, transforming, and interpreting raw data to uncover the story behind the data points. If you are learning Data Analysis, one of the best…

Matplotlib for Data Science

Matplotlib for Data Science

Matplotlib is a popular data visualization library for Python. It provides functions and tools enabling data scientists to create various plots and charts. Matplotlib allows data scientists to create high-quality visualizations that effectively communicate insights and patterns hidden within the…

Python and R Libraries for Data Science

Python and R Libraries for Data Science

Python and R are preferred languages for data science due to their rich ecosystem of libraries, extensive community support, and powerful tools for statistical analysis, data manipulation, machine learning, and visualization. You can choose either Python or R for Data…

Pandas for Data Science

Pandas for Data Science

Pandas is a powerful open-source library in Python that provides high-performance data manipulation and analysis tools. Pandas enhances the productivity and efficiency of Data Science professionals by providing a comprehensive set of tools for data manipulation, analysis, and exploration. Its…

User Engagement Analysis using Python

User Engagement Analysis using Python

User Engagement Analysis is a data-driven approach to assess and understand user involvement, interaction, and satisfaction with a product, service, or platform. It involves analyzing various metrics and behavioural patterns to gain insights into user behaviour and preferences. It aids…

NumPy for Data Science

NumPy for Data Science

NumPy, which stands for Numerical Python, is a powerful library in Python providing support for large, multi-dimensional arrays and matrices, along with a vast collection of mathematical functions to operate on these arrays. It serves as a fundamental building block…

Data Science Tools Used in the Industry

Data Science Tools Used in the Industry

There are various Data Science tools used in the industry. The usage of different data science tools across companies and professions stems from the diverse nature of their data, objectives, and roles within the industry. Companies, ranging from small startups to large…

What is Market Basket Analysis

What is Market Basket Analysis?

Market basket analysis is a Data Science concept that aims to understand customers’ buying habits to uncover associations and relationships between products. It focuses on analyzing the contents of customers’ shopping carts to identify frequently purchased items together. If you…

What is RFM Analysis in Data Science

What is RFM Analysis in Data Science

RFM analysis stands for recency, frequency, and monetary value analysis. It is a data science concept used in marketing and customer relationship management. It involves analyzing customer behaviour and segmenting customers based on their transactional history, specifically focusing on three…

Here’s How Nike Uses Data Science

How Nike Uses Data Science

Nike is an American multinational corporation engaged in the design, development, manufacture, marketing and worldwide sale of footwear, apparel, sports equipment, accessories and services. There are many ways how Nike uses Data Science to stay ahead of its competitors worldwide.…

RFM Analysis using Python

RFM Analysis using Python

RFM Analysis is used to understand and segment customers based on their buying behaviour. RFM stands for recency, frequency, and monetary value, which are three key metrics that provide information about customer engagement, loyalty, and value to a business. So,…

What is Customer Segmentation

Customer Segmentation

Customer Segmentation is used to divide a company’s customer base into distinct groups based on common characteristics. It helps companies better understand their customers. If you want to understand Customer Segmentation and how Data Science professionals use this technique, this…

What is EDA in Data Science

What is EDA in Data Science

Exploratory data analysis (EDA) is a Data Science concept where we analyze a dataset to discover patterns, trends, and relationships within the data. If you want to understand Exploratory Data Analysis, this article is for you. In this article, I will…

Here’s How H&M Uses Data Science

How H&M uses Data Science

H&M is a Sweden-based multinational clothing company that focuses on fast fashion clothing for men, women, teens and children. It is one of GenZ’s favourite brands worldwide. There are many ways in which H&M uses data science to keep its…

Business Analyst Roadmap

Business Analyst Roadmap

A Business Analyst is a Data Science professional who uses the data generated by the business to analyze and forecast the performance of a business, design and manage the creation of new data products, and bridge the gap between business stakeholders and…

What is A/B Testing in Data Science

What is A/B Testing in Data Science

A/B Testing is one of the real-world concepts you need to know as a Data Science professional. A/B Tests help businesses compare two different options or strategies, such as two different advertisements or website designs, to see which performs better…

What are Data Driven Business Models

Data Driven Business Models

Data-driven business models are the types of business models in which data is used for overall business operations. Most big tech product companies you hear about today have data-driven business models. So, if you want to understand what Data-Driven business models…

Supply Chain Analysis using Python

Supply Chain Analysis using Python

The supply Chain is the network of production and logistics involved in producing and delivering goods to customers. And Supply Chain Analysis means analyzing various components of a Supply Chain to understand how to improve the effectiveness of the Supply…

Here’s How Myntra Uses Data Science

How Myntra Uses Data Science

Myntra is one of the fashion e-commerce platforms in India. It is known for its trending collection of clothing, footwear, and accessories. Myntra uses a lot of Data Science techniques that make it different from other e-commerce platforms. So, if…

Accelerometer Data Analysis using Python

Accelerometer Data Analysis using Python

Accelerometer is a device used to measure the acceleration or vibrations of a motion. The data provided by an accelerometer is three-dimensional and can be used in data-driven applications for solving problems like fall detection and health monitoring. So, if…

Data Science Interview Questions

Data Science Interview Questions

There are many types of questions you are asked for a job interview to understand your behaviour, technical skills, domain expertise, and how you will use your skills in solving real-time business problems. If you are looking for some of…

Here’s How Samsung Uses Data Science

How Samsung Uses Data Science

Samsung is a South Korean multinomial conglomerate. It is known for its midrange and flagship smartphone collection worldwide. There are many ways how Samsung uses Data Science and Machine Learning techniques in its technology and business. So, if you want…

Use of Data Science in Healthcare

Use of Data Science in Healthcare

There have been many innovations in the healthcare industry since the outbreak of covid in 2019. The use of data in the healthcare industry has helped healthcare professionals get more accurate information about the medical conditions of patients. In this…

Data Analysis Roadmap

Data Analysis Roadmap

Data Analysis means analyzing data to gather valuable insights that can be used in decision-making and solving various business problems. The role of a Data Analyst is one of the best jobs to start your journey as a Data Science…

Here’s How TCS Uses Data Science

How TCS Uses Data Science

Tata Consultancy Services is an Indian multinational corporation that provides IT, data processing and consulting services. TCS is one of the highly active recruiters in India for its IT and data processing services. So, if you want to know how…

Job Recommendation System using Python

Job Recommendation System using Python

A recommendation system is a popular application of Data Science that recommends personalized content based on the users’ interests. Almost all the popular websites you visit today use a recommendation system. As the name suggests, a job recommendation system is…

Salary of a Business Analyst

Salary of a Business Analyst

A Business Analyst is a Data Science professional who analyzes and forecasts business trends, understands and analyzes business strategies, and performs budgeting and financial analysis of the business. If you are aiming for the role of a Business Analyst and…

A/B Testing using Python

A/B Testing using Python

A/B Testing means analyzing two marketing strategies to choose the best marketing strategy that can convert more traffic into sales (or more traffic into your desired goal) effectively and efficiently. A/B testing is one of the valuable concepts that every…

Who Can Learn Data Science

Who Can Learn Data Science

Data Science is one of the highest-paying career options today. Data Science is not like Engineering, where you need an engineering degree with a computer science background. Data Science is a skill that helps companies make decisions with data. So…

Salary of a Data Scientist

Salary of a Data Scientist

Like all other jobs, the salary of a Data Scientist also depends on many factors like work experience, living standards in the country, and the demand for Data Science professionals in the country. Out of all these factors, work experience…

Weather Forecasting using Python

Weather Forecasting using Python

In Data Science, weather forecasting is an application of Time Series Forecasting where we use time-series data and algorithms to make forecasts for a given time. If you want to learn how to forecast the weather using your Data Science…

Here’s How Tinder Uses Data Science

How Tinder Uses Data Science

Tinder is an online dating and geosocial platform. Many users find Tinder helpful for meeting new people for friendships and relationships. Just like every business today, Tinder also use Data Science for its business. So, if you want to know how Tinder uses…

Here’s How Uber Uses Data Science

How Uber Uses Data Science

Uber is an American mobility-as-a-service provider that currently operates in 72 countries. Uber is also among the companies that use data and algorithms as a necessity for their business. So, if you want to know how Uber uses Data Science, this…

iPhone Sales Analysis using Python

iPhone Sales Analysis using Python

Apple iPhones are among the top-selling smartphones worldwide. There is huge competition among smartphone brands in India, where you can get the latest technology in a smartphone at half the price of an iPhone. Still, there are high sales of iPhones…

Business Forecasting using Python

Business Forecasting using Python

Business Forecasting is one of the applications of Time Series Forecasting. In Business Forecasting, we aim to forecast future sales, expenditure, or revenue by using the historical Time Series data generated by the business. So, if you want to learn…

Best Statistics Courses for Data Science

Best Statistics Courses for Data Science

Statistics means collecting, organizing, analyzing, interpreting, and presenting data. Statistics is one of the most valuable concepts for Data Science. A person with statistical background is preferred for the role of a Data Science professional. So, if you are looking…

Use Cases of Data Science in Social Media

Use Cases of Data Science in Social Media

Social Media applications are those applications where you get a collection of features based on communication, interaction, content creation, and collaboration. Facebook, Instagram, Youtube, and Twitter are some of the popular social media applications today. Every social media application uses Data…

Best Data Analysis Courses in 2022

Best Data Analysis Courses in 2022

Data Analysis means analyzing data to gather valuable insights that can be used in decision-making and solving various business problems. Data Analysis is so popular that you can learn everything about it without spending any money. But some people like to…

Here’s How to Learn Data Analysis

How to Learn Data Analysis

Data Analysis means analyzing data to gather valuable insights that can be used in decision-making and solving various business problems. So, if you are looking for a step-by-step guide to learning Data Analysis, this article is for you. In this…

Data Analysis Tools

Data Analysis Tools

Data Analysis is the process of analyzing data to gather valuable insights that can be used for decision-making and solving various business problems. There are many tools that you can use for Data Analysis. In this article, I will take…

Best Degrees for Data Science

Best Degrees for Data Science

If you visit some of the LinkedIn profiles of Data Science professionals, you will notice that most of them don’t have a master’s or a bachelor’s degree in Data Science. Most of them have engineering or statistical background. They don’t…

Time Series Forecasting with ARIMA

Time Series Forecasting with ARIMA

Time Series Forecasting means analyzing and modeling time-series data to make future decisions. Some of the applications of Time Series Forecasting are weather forecasting, sales forecasting, business forecasting, stock price forecasting, etc. The ARIMA model is a popular statistical technique…

Tips to Get a Data Science Job

Tips to Get a Data Science Job

Data science is one of the highest paying career options today. There are many jobs in this field, some of the most popular of which are Data Scientist, Data Analyst, Data Engineer, and Machine Learning Engineer. If you know you…

Seaborn Tutorial for Data Visualization

Seaborn Tutorial for Data Visualization

Seaborn is one of the best Python libraries for Data Visualization. It is built on top of Matplotlib. Unlike Matplotlib, Seaborn cannot be the only Data Visualization library in your skillset, but some visualizations look better and more understandable with…