Learn Data Science Tutorial With Python Last Updated : 28 Apr, 2025 Comments Improve Suggest changes Like Article Like Report Data Science has become one of the fastest-growing fields in recent years, helping organizations to make informed decisions, solve problems and understand human behavior. As the volume of data grows so does the demand for skilled data scientists. The most common languages used for data science are Python and R.In this Data Science with Python tutorial will guide you through the fundamentals of both data science and Python programming.Data Science with PythonBefore starting the tutorial you can refer to these articles: What is Data Science?Python for Data Science Setting Up Data Science EnvironmentPython Libraries for Data ScienceTo gain expertise in data science, you need to have a strong foundation in the following libraries: Pandas for Data ManipulationNumPy for Numerical ComputingMatplotlib for Data VisualizationSeaborn for Data VisualizationScikit-learn for Machine LearningData Loading Data loading means importing raw data from various sources and storing it in one place for further analysis.Loading a CSV File into a DataFrameLoading Data from an Excel FileLoading Data from JSON FileLoading Data from SQL DatabasesWeb Scraping using BeautifulSoup to Scrape DataLoading Data from MongoDB into DataFrameData PreprocessingData preprocessing involves cleaning and transforming raw data into a usable format for accurate and reliable analysis.What is Data Preprocessing?Working with Missing Data using PandasRemoving Duplicates using drop_duplicates()Scaling and Normalization of DataAggregating and Grouping DataFeature Selection using Sklearn Handling Categorical Data using Label Encoding Handling Categorical Data using One-Hot Encoding Detecting outlier using Z score Detecting outlier using Interquartile Range Handling Imbalanced Data Efficient Preprocessing for Large DatasetsData Analysis Data analysis is the process of inspecting data to discover meaningful insights and trends to make informed decision.What is Data Processing?Exploratory Data Analysis in PythonUnivariate and Multivariate AnalysisCalculating CorrelationHypothesis testing using PythonOne-sample t-test using PythonTwo Sample t-test using PythonANOVA (Analysis of Variance) in Python Mann-Whitney U Test in Python Z-test in PythonChi-Square TestPCA with Python Shapiro-Wilk Test in Python Wilcoxon Signed-Rank Test in PythonData Visualization Data visualization uses graphical representations such as charts and graphs to understand and interpret complex data.Data Visualization using Matplotlib Line ChartBar PlotHistogramHeatmapBox PlotScatter PlotPie Chart3D PlotData Visualization using Seaborn Pair PlotCount PlotViolin PlotStrip PlotKDE Plot (Kernel Density Estimate)Joint PlotReg Plot Interactive VisualizationScatter PlotBar ChartLine ChartAnimated Data VisualizationChoropleth Maps usingInteractive Visualization using Bokeh Visualizing Geospatial Data using Folium Machine LearningMachine learning focuses on developing algorithms that helps computers to learn from data and make predictions or decisions without explicit programming.Machine Learning TutorialDeep Learning Tutorial Related Courses: Machine Learning is an essential skill for any aspiring data analyst and data scientist and also for those who wish to transform a massive amount of raw data into trends and predictions. Learn this skill today with Machine Learning Foundation - Self Paced Course designed and curated by industry experts having years of expertise in ML and industry-based projects. Every organisation now relies on data before making any important decisions regarding their future. So, it is safe to say that Data is really the king now. So why do you want to get left behind? This LIVE course will introduce the learner to advanced concepts like: Linear Regression, Naive Bayes & KNN, Numpy, Pandas, Matlab & much more. You will also get to work on real-life projects through the course. So wait no more, Become a Data Science Expert now. Comment More infoAdvertise with us Next Article Data Analysis (Analytics) Tutorial abhishek1 Follow Improve Article Tags : Data Science AI-ML-DS Tutorials Similar Reads Data Science Tutorial Data Science is a field that combines statistics, machine learning and data visualization to extract meaningful insights from vast amounts of raw data and make informed decisions, helping businesses and industries to optimize their operations and predict future trends.This Data Science tutorial offe 3 min read Fundamental of Data ScienceWhat is Data Science?Data science is the study of data that helps us derive useful insight for business decision making. Data Science is all about using tools, techniques, and creativity to uncover insights hidden within data. It combines math, computer science, and domain expertise to tackle real-world challenges in a 8 min read What Are the Roles and Responsibilities of a Data Scientist?In the world of data space, the era of Big Data emerged when organizations are dealing with petabytes and exabytes of data. It became very tough for industries for the storage of data until 2010. Now when the popular frameworks like Hadoop and others solved the problem of storage, the focus is on pr 5 min read Top 10 Data Science Job ProfilesData Science refers to the study of data to extract the most useful insights for the business or the organization. It is the topmost highly demanding field world of technology. Day by day the increasing demand of data enthusiasts is making data science a popular field. Data science is a type of appr 8 min read Applications of Data ScienceData Science is the deep study of a large quantity of data, which involves extracting some meaning from the raw, structured, and unstructured data. Extracting meaningful data from large amounts usesalgorithms processing of data and this processing can be done using statistical techniques and algorit 6 min read Data Science vs Data AnalyticsIn this article, we will discuss the differences between the two most demanded fields in Artificial intelligence that is data science, and data analytics.What is Data Science Data Science is a field that deals with extracting meaningful information and insights by applying various algorithms preproc 3 min read Data Science Vs Machine Learning : Key DifferencesIn the 21st Century, two terms "Data Science" and "Machine Learning" are some of the most searched terms in the technology world. From 1st-year Computer Science students to big Organizations like Netflix, Amazon, etc are running behind these two techniques. Both fields have grown exponentially due t 5 min read Difference Between Data Science and Business IntelligenceWhile they have different uses, business intelligence (BI) and data science are both essential for making data-driven decisions. Data science is the study of finding patterns and forecasts through sophisticated analytics, machine learning, and algorithms. In contrast, the main function of business i 4 min read Data Science FundamentalsIn the world of data space, the era of Big Data emerged when organizations began dealing with petabytes and exabytes of data. It became very tough for industries the store data until 2010. Now, the popular frameworks like Hadoop and others have solved the problem of storage, the focus is on processi 15+ min read Data Science LifecycleData Science Lifecycle revolves around the use of machine learning and different analytical strategies to produce insights and predictions from information in order to acquire a commercial enterprise objective. The complete method includes a number of steps like data cleaning, preparation, modelling 6 min read Math for Data ScienceData Science is a large field that requires vast knowledge and being at a beginner's level, that's a fair question to ask "How much maths is required to become a Data Scientist?" or "How much do you need to know in Data Science?". The point is when you'll be working on solving real-life problems, yo 5 min read Programming Language for Data SciencePython for Data Science - Learn the Uses of Python in Data ScienceIn this Python for Data Science guide, we'll explore the exciting world of Python and its wide-ranging applications in data science. We will also explore a variety of data science techniques used in data science using the Python programming language. We all know that data Science is applied to gathe 6 min read R Programming for Data ScienceR is an open-source programming language used statistical software and data analysis tools. It is an important tool for Data Science. It is highly popular and is the first choice of many statisticians and data scientists.R includes powerful tools for creating aesthetic and insightful visualizations. 13 min read SQL for Data ScienceMastering SQL (Structured Query Language) has become a fundamental skill for anyone pursuing a career in data science. As data plays an increasingly central role in business and technology, SQL has emerged as the most essential tool for managing and analyzing large datasets. Data scientists rely on 7 min read Complete Data Science ProgramData Science TutorialData Science is a field that combines statistics, machine learning and data visualization to extract meaningful insights from vast amounts of raw data and make informed decisions, helping businesses and industries to optimize their operations and predict future trends.This Data Science tutorial offe 3 min read Learn Data Science Tutorial With PythonData Science has become one of the fastest-growing fields in recent years, helping organizations to make informed decisions, solve problems and understand human behavior. As the volume of data grows so does the demand for skilled data scientists. The most common languages used for data science are P 3 min read Data Analysis tutorialData Analysis (Analytics) TutorialData Analytics is a process of examining, cleaning, transforming and interpreting data to discover useful information, draw conclusions and support decision-making. It helps businesses and organizations understand their data better, identify patterns, solve problems and improve overall performance. 4 min read Data Analysis with PythonIn this article, we will discuss how to do data analysis with Python. We will discuss all sorts of data analysis i.e. analyzing numerical data with NumPy, Tabular data with Pandas, data visualization Matplotlib, and Exploratory data analysis.Data Analysis With Python Data Analysis is the technique o 15+ min read Data analysis using RData Analysis is a subset of data analytics, it is a process where the objective has to be made clear, collect the relevant data, preprocess the data, perform analysis(understand the data, explore insights), and then visualize it. The last step visualization is important to make people understand wh 9 min read Top 80+ Data Analyst Interview Questions and AnswersData is information, often in the form of numbers, text, or multimedia, that is collected and stored for analysis. It can come from various sources, such as business transactions, social media, or scientific experiments. In the context of a data analyst, their role involves extracting meaningful ins 15+ min read Data Vizualazation TutotrialPython - Data visualization tutorialData visualization is a crucial aspect of data analysis, helping to transform analyzed data into meaningful insights through graphical representations. This comprehensive tutorial will guide you through the fundamentals of data visualization using Python. We'll explore various libraries, including M 7 min read Data Visualization with PythonIn today's world, a lot of data is being generated on a daily basis. And sometimes to analyze this data for certain trends, patterns may become difficult if the data is in its raw format. To overcome this data visualization comes into play. Data visualization provides a good, organized pictorial rep 14 min read Data Visualization in RData visualization is the practice of representing data through visual elements like graphs, charts, and maps. It helps in understanding large datasets more easily, making it possible to identify patterns and trends that support better decision-making. R is a language designed for statistical analys 5 min read Machine Learning TutorialMachine Learning TutorialMachine learning is a branch of Artificial Intelligence that focuses on developing models and algorithms that let computers learn from data without being explicitly programmed for every task. In simple words, ML teaches the systems to think and understand like humans by learning from the data.Machin 5 min read Maths for Machine LearningMathematics is the foundation of machine learning. Math concepts plays a crucial role in understanding how models learn from data and optimizing their performance. Before diving into machine learning algorithms, it's important to familiarize yourself with foundational topics, like Statistics, Probab 5 min read 100+ Machine Learning Projects with Source Code [2025]This article provides over 100 Machine Learning projects and ideas to provide hands-on experience for both beginners and professionals. Whether you're a student enhancing your resume or a professional advancing your career these projects offer practical insights into the world of Machine Learning an 5 min read Top 50+ Machine Learning Interview Questions and AnswersMachine Learning involves the development of algorithms and statistical models that enable computers to improve their performance in tasks through experience. Machine Learning is one of the booming careers in the present-day scenario.If you are preparing for machine learning interview, this intervie 15+ min read Machine Learning with RMachine Learning as the name suggests is the field of study that allows computers to learn and take decisions on their own i.e. without being explicitly programmed. These decisions are based on the available data that is available through experiences or instructions. It gives the computer that makes 2 min read Deep Learning & NLP TutorialDeep Learning TutorialDeep Learning tutorial covers the basics and more advanced topics, making it perfect for beginners and those with experience. Whether you're just starting or looking to expand your knowledge, this guide makes it easy to learn about the different technologies of Deep Learning.Deep Learning is a branc 5 min read 5 Deep Learning Project Ideas for BeginnersWell, irrespective of our age or domain or background knowledge some things succeed in fascinating us in a way such that we're so motivated to do something related to it. Artificial Intelligence is one such thing that needs nothing more than just a definition to attract anyone and everyone. To be pr 6 min read Deep Learning Interview QuestionsDeep learning is a part of machine learning that is based on the artificial neural network with multiple layers to learn from and make predictions on data. An artificial neural network is based on the structure and working of the Biological neuron which is found in the brain. Deep Learning Interview 15+ min read Natural Language Processing (NLP) TutorialNatural Language Processing (NLP) is the branch of Artificial Intelligence (AI) that gives the ability to machine understand and process human languages. Human languages can be in the form of text or audio format.Applications of NLPThe applications of Natural Language Processing are as follows:Voice 5 min read Top 50 NLP Interview Questions and Answers 2024 UpdatedNatural Language Processing (NLP) is a key area in artificial intelligence that enables computers to understand, interpret, and respond to human language. It powers technologies like chatbots, voice assistants, translation services, and sentiment analysis, transforming how we interact with machines. 15+ min read Computer Vision TutorialComputer Vision TutorialComputer Vision is a branch of Artificial Intelligence (AI) that enables computers to interpret and extract information from images and videos, similar to human perception. It involves developing algorithms to process visual data and derive meaningful insights.Why Learn Computer Vision?High Demand i 8 min read 40+ Top Computer Vision Projects [2025 Updated]Computer Vision is a branch of Artificial Intelligence (AI) that helps computers understand and interpret context of images and videos. It is used in domains like security cameras, photo editing, self-driving cars and robots to recognize objects and navigate real world using machine learning.This ar 4 min read Why Data Science Jobs Are in High Demand Jobs are something that can help you enable your disabled dreams. This is why many aspirants, who fail to achieve milestones in their businesses in one go, prefer to apply for that job they can pursue. With the same context, you need to know that Data Science jobs are trending in this pandemic era t 6 min read Like