FreeCourse Logo
FreeCourse.io
Verified CouponsFree CoursesJobsBlog
Categories
Home/Courses/Master Python & ML: Stats, Analysis & Data Visualization
Master Python & ML: Stats, Analysis & Data Visualization
IT & Software100% OFF

Master Python & ML: Stats, Analysis & Data Visualization

Udemy Instructor
0(2.8K students)
Self-paced
All Levels

About this course

Welcome to The Data Science Bootcamp! This comprehensive bootcamp is your one-stop solution to becoming a job-ready Data Scientist. We've meticulously designed this course to take you from absolute beginner to a confident data professional, equipped with the most demanded skills in the industry.

Whether you're looking to launch a new career, enhance your current role, or simply understand the power of data, this course is for you. What Makes This Course Unique? Unlike other courses, 'The Data Science Bootcamp' provides a truly integrated learning experience.

We don't just teach tools; we teach you how to think like a Data Scientist. You'll learn:Python Programming: From basic syntax to advanced data manipulation with Pandas and NumPy. Statistics & Probability: Understand the foundational math behind data science and machine learning.

Machine Learning: Master algorithms like Linear Regression, Logistic Regression, Decision Trees, K-Means, and more. Learn how to build, evaluate, and optimize models. SQL for Data: Extract, transform, and load data from databases – a crucial skill for any data role.

Data Visualization: Create stunning and insightful dashboards with Matplotlib, Seaborn, and Tableau. Real-World Projects: Apply your knowledge to practical case studies and build a robust portfolio. Your Journey to Data Mastery We believe in learning by doing.

Each section is packed with hands-on exercises, quizzes, and projects that reinforce your understanding. We'll guide you through setting up your environment, understanding core concepts, and implementing them with practical code. By the end of this bootcamp, you'll have not only the theoretical knowledge but also the practical experience to tackle complex data challenges and confidently apply for data science roles.

Skills you'll gain

Other IT & SoftwareEnglish

Available Coupons

Loading...

Course Information

Level: All Levels

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Udemy Instructor

Expert course creator

This course includes:

  • 📹Video lectures
  • 📄Downloadable resources
  • 📱Mobile & desktop access
  • 🎓Certificate of completion
  • ♾️Lifetime access
$0$89.99

Save $89.99 today!

Enroll Now - Free

Redirects to Udemy • Limited free enrollments

Share this course

https://freecourse.io/courses/master-python-ml-stats-analysis-data-visualization

You May Also Like

Explore more courses similar to this one

ChatGPT Masterclass: The Complete Guide
IT & Software
0% OFF

ChatGPT Masterclass: The Complete Guide

Udemy Instructor

Artificial intelligence is changing the way we work, learn and create—and ChatGPT is one of the most powerful tools available today. Whether you want to boost productivity, create better content or automate everyday tasks, knowing how to use ChatGPT effectively is a valuable skill.In ChatGPT Masterclass: The Complete Guide, you’ll learn how to use ChatGPT step by step, from the basics to advanced real-world applications. This course focuses on practical, hands-on usage, not theory, so you can start applying what you learn immediately.You’ll discover how to write effective prompts, interact with ChatGPT the right way and use it for tasks like research, content creation, learning, planning, problem solving and workflow automation.What you’ll learnUnderstand how ChatGPT works and how to use it confidentlyWrite effective prompts to get accurate and useful resultsUse ChatGPT for productivity, research and learningCreate content such as emails, blogs, resumes and social media postsApply ChatGPT in business, freelancing and everyday workBuild repeatable workflows using ChatGPTAvoid common mistakes and use AI responsiblyWhy take this course?Step by step explanations with real examplesPractical skills you can use immediatelyBeginner friendly and easy to followDesigned for real-world use, not just theoryBy the end of this course, you’ll be able to use ChatGPT confidently and turn it into a powerful assistant for work, study and everyday life.

0.0•1.4K•Self-paced
FREE$93.99
Enroll
Master C++ Programming - From Beginner To Advance - 2021
IT & Software
0% OFF

Master C++ Programming - From Beginner To Advance - 2021

Udemy Instructor

Master C++ Programming - From Beginner To ProC++, C++ Tutorial, C++ Lecture, C++ CourseConcepts of C++ programming are made very simple and easy.Course Highlights Explained each topic with help of picture and example. Practical Session for each Topic 2-Projects - ATM system & Student Management Mind-map Notes - ppt100 MCQ's15 AssignmentsTopics :Introducing Basics Of Computer Mind-mapWhat is Computer ?Computer ArchitectureRAM - Random Access MemoryCPU - Central Processing UnitOperating SystemComputer LanguageRecap - Basics Of Computer - Mind-MapQuiz 1: Basics Of Computer QuizIntroduction to Programming ( Mind Map )What is Programming in general ?Why we should learn C++ ?What is C++ ?What is Compiler and IDE ?Quiz 2: Introduction to Programming QuizCompiler and IDE SetupBest IDE's For C++Installing Visual Studio for C++Installing Codeblocks for C++Introducing Program Structure in C++ Program ( Mind map )HeaderNamespaceMain FunctionBlock and SemicolonWriting First C++ ProgramUser Input and Output in C++ ProgramRecap Program Structure Mind-mapQuiz 3:Program Structure QuizIdentifiersKeywordsData TypesVariablesOperatorsArithmetic OperatorsAssignment OperatorsLogical OperatorComparison OperatorRecap Important terminologies of C++ Programming ( Mind-map )Quiz 4: Important terms QuizIntroducing Important Terminologies in C++ ProgrammingIntroduction Conditions in C++ Mind-mapCondition in C++If ConditionIf Else ConditionElse if ConditionSwitch CaseRecap Conditions in C++ Mind-MapQuiz 5:Condition in C++Introducing String in C++ Programming Language ( Mind-map )Why Strings are used in C++ ?String concatenationHow to calculate string length ?How to take string as input ?Example on StringRecap String in C++ ( Mind-map )Quiz 6: String QuizIntroduction to LoopsWhat / why of LoopFor LoopWhile LoopDo While LoopBreak and ContinueQuiz 7: Loop QuizWhy Array ?What is Array ?Creating , Initialize and Modify ArrayProgram of find Minimum no. in ArrayWhy Functions in C++?Example Of FunctionFunction and Main MemoryVarious Forms Of FunctionWhat and Why Of Function Overloading?1st Way Of Function Overloading2nd Way Of Function OverloadingDrawback Of Function and inline FunctionQuiz 8: Functions in C++What is Function ?What and Why Of StructureDefine Structure in C++Example of StructureNesting Of StructureStructure paddingQuiz 9:Structure in C++ QuizWhy Object Oriented ProgrammingExample of OOPKey Note on Member Function and Member VariableAccess SpecifierCharacteristics of OOPQuiz 10: OOP QuizMini Project - ( ATM System in C++ )Why Constructor?Default ConstructorParametrized ConstructorCopy ConstructorConstructor OverloadingConstructor ProgramQuiz 11: Constructor in C++Operator OverloadingOverloading Post and Pre IncrementIntroduction Inheritance Mind-MapWhat is Inheritance?Why Inheritance ?Inheritance ExampleConstructor and InheritanceFunction OverridingisA and hasA RelationTypes Of InheritanceWays of InheritanceQuiz 12: Inheritance QuizWhat is Pointer?Why Pointer is Used?Program in MemoryPointer NotationPointer and ArrayPointer and FunctionMemory Management - NEWMemory Management - DELETEPointer Application ProgramPointer Limitationsthis PointerQuiz 13: Pointers QuizIntroduction to Pointer - Mind-mapIntroduction to PolymorphismBase Class Pointer and Derived Class ObjectWhat is Virtual Function?Why Virtual Function with ExampleAbstract Class and Pure Virtual FunctionMore about PolymorphismVirtual DestructorQuiz 14 : Polymorphism QuizWhat is friend in general?What is Friend Function?Question on Friend FunctionWhat is Friend Class ? + practicalOverloading Comparison Operator - With Friend FunctionQuiz 15:Friend QuizIntroduction to Static Member - Mind mapStatic Member VariableStatic Member FunctionQuiz 16: Static Member Variable & Function QuizIntroducing File Input- OutputWhat are Streams?Classes and Object for Input-OutputHow reading and writing is done in file?Write data into FILEReading data from FILETellg in C++Tellp FunctionSeekg FunctionSeekp FunctionQuiz 17:File handling QuizException Handling in C++Exception Handling Program in C++Quiz 18: Exception QuizBasics of Data StructureIntroduction to STLContainers in STL & ClassificationArray - Container in STLVector - Container in STLList - Container in STLStack - Container in STLQueue - Container in STLPriority Queue - Container in STLMap - Container in STLMultimap - Container in STLUnordered Map - Container in STLSet - Container in STLMultiset - Container in STLUnordered Set - Container in STLAlgorithms in STLContainer in ContainerQuiz 19: STL QuizFinal Project - Student management in C++ByteBoard - VeDinesh Academy provides smart classroom-type learning by breaking long lectures into short and crisp for each topic. We explain concepts with examples and pictures for better understanding, moreover we apply the Mind-Map technique that would definitely help you in connecting the dots and remembering the concepts forever. We are highly motivated and passionate to provide you high-quality, simplified, and in-depth training at an affordable price.Thanks.

4.4•35.0K•Self-paced
FREE$93.99
Enroll
Cooking Up AI: From Basics to Agentic Systems
IT & Software
0% OFF

Cooking Up AI: From Basics to Agentic Systems

Udemy Instructor

This course contains the use of artificial intelligence.Cooking Up AI: From Basics to Agentic Systems is a beginner-friendly course designed to help anyone understand Artificial Intelligence, Large Language Models, AI Agents, RAG, MCP, and AI architectures using simple food, cooking, and kitchen analogies. Instead of overwhelming learners with complex technical jargon, this course explains modern AI concepts in a way that feels familiar, practical, and easy to remember.If you have ever wondered how ChatGPT, Generative AI, AI copilots, autonomous agents, or enterprise AI systems actually work, this course gives you a clear foundation. You will learn how AI is like a kitchen, where data becomes ingredients, models become recipes, compute becomes kitchen equipment, and AI systems become full restaurants capable of serving intelligent outcomes.The course begins with the basics of what AI is, how it differs from regular software and automation, and why concepts like training, inference, narrow AI, and general AI matter. You will then explore how data quality, data preprocessing, bias, and labeling affect the performance of AI systems, just like fresh or spoiled ingredients affect the quality of a meal.Next, you will learn how machine learning models work, including supervised learning, unsupervised learning, neural networks, pretraining, and fine-tuning. These topics are explained through recipe-based analogies so learners can understand how AI models learn patterns and generate results.A major part of the course focuses on Large Language Models, including tokens, context windows, hallucinations, and prompt engineering. You will learn how to give better instructions to AI systems using zero-shot prompting, few-shot prompting, system prompts, structured prompts, and reusable prompt patterns.The course then moves into more advanced but highly practical topics such as tools and APIs, function calling, Retrieval-Augmented Generation, embeddings, vector databases, chunking, and RAG evaluation. You will understand how AI systems can look up information, retrieve relevant knowledge, and produce more accurate responses.You will also explore the exciting world of AI agents and agentic AI systems. Using the analogy of autonomous chefs and full kitchen teams, you will learn about agent loops, memory, reasoning, tool use, multi-agent systems, orchestration, task decomposition, and failure handling.The course also introduces Model Context Protocol, AI system architecture, state management, AI evaluation, red teaming, AI safety, governance, guardrails, data privacy, and responsible AI. By the end of the course, you will understand how modern AI systems are designed, evaluated, governed, and deployed in the real world.Whether you are a student, business professional, entrepreneur, developer, educator, executive, or complete beginner, this course will help you build a strong mental model of AI, Generative AI, RAG, AI Agents, and Agentic Systems without needing advanced math, coding, or machine learning experience.

0.0•828•Self-paced
FREE$79.99
Enroll
FreeCourse LogoFreeCourse

Freecourse.io brings you high-quality online courses with free certificates to help you upskill, boost your career, and achieve your goals anytime, anywhere.

Resources

  • Courses
  • Jobs
  • Categories
  • Features

Company

  • About
  • Blog
  • Contact

Legal

  • Privacy
  • Terms
  • Cookies
  • Licenses

© 2026 FreeCourse. All rights reserved.