Data Science  AI  ML
Best Free & Paid Online Course Of Data Science, Machine Learning & AI Course [ Updated March 2021]
Best Free Online Course of Data Science, Machine Learning & AI Course
Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be.
FREE
This is a class that will teach you the endtoend process of investigating data through a machine learning lens. It will teach you how to extract and identify useful features that best represent your data, a few of the most important machine learning algorithms, and how to evaluate the performance of your machine learning algorithms.
FREE
This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using realworld data.
FREE
This data science course is an introduction to machine learning and algorithms. You will develop a basic understanding of the principles of machine learning and derive practical solutions using predictive analytics.
FREE
If you’re interested in data analysis and interpretation, then this is the data science course for you. you will learn about the batch effect: the most challenging data analytical problem in genomics today and describe how the techniques can be used to detect and adjust for batch effects.
FREE
This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications.
FREE
UG students of Science and Engineering. Students of humanities with basic mathematical and statistical background can also do it. Working professionals in analytics can also do it.
FREE
The course is ideal for beginners in the field of Data Science. Several features which make it exciting are:
Beginner friendly course: The course assumes no prerequisites and is meant for beginners
Curated list of resources to follow: All the necessary topics are covered in the course, in an orderly manner with links to relevant resources and hackathons.
FREE
This online Python course has no prerequisites, so we'll start from the very beginning. You'll learn to print text and do some basic arithmetic in Python. Then, you'll dive into key concepts.
To make machine learning accessible to anyone, anywhere, anytime.
$16.65
FREE
you’ll learn how clean, standardize, and analyze date and time data using Python’s datetime module.
At the end of the course, you will combine all the skills you learned to create a portfolio project centered around Hacker News post titles to find out what types of posts are most likely to be successful at what times.
FREE
Interested in applying your data skills to realworld problems? Join Stanford Data and Mapping for Society (DAMS). We’re a student group applying data analysis to transportation, environmental, and education problems.
Introduction to Machine Learning Problem Framing! This course helps you frame machine learning (ML) problems. This course does not cover how to implement ML or work with data.
FREE
Data Analytics for Decision Making: An Introduction to Using Excel
Go beyond simply gathering information, and discover how to use data to improve reallife decisions.
Trying to locate meaning and direction in big data is difficult. R can help you find your way. R is a statistical programming language to analyze and visualize the relationships between large amounts of data.
FREE
Having a solid understanding of linear regression—a method of modeling the relationship between one dependent variable and one to several other variables—can help you solve a multitude of realworld problems.
FREE
Learn how to extract and represent data using Python data structures, descriptive statistics, and reading from and exporting data to different types of files.
$9.99
Python is one of the most popular coding languages of the past decade. It is designed to be easy to read while still being very powerful, which makes it an ideal language for beginners. It’s not just for beginners, though. Python is used by thousands of worldfamous companies including Google, Facebook, Dropbox, Instagram, and Reddit. It is most often used for building websites, web scraping, data analysis, machine learning, and natural language processing.
FREE
Data drives everything. Get the skills you need for the future of work.
FREE
A beginnerfriendly introduction to supervised machine learning, decision trees, and gradient boosting using Python and its ecosystem of ML libraries: scikitlearn, XGBoost, and LightGBM. Earn a verified certificate of accomplishment by completing practical assignments and building a realworld course project.
FREE
Paid Online Course of Data Science, Machine Learning & AI Course
In this course, you'll work on an industrylevel machine learning project based on predicting weekly retail sales given different factors. You will learn the most efficient techniques used to train and evaluate scalable machine learning models. After completing this course, you will be able to take on industrylevel machine learning projects, from data analysis to creating efficient models and providing results and insights.
$39.99
$9.99
How to get into data science and apply your skills in reallife business cases
How the mathematics and statistics behind machine learning work
How to preprocess data and carry out cluster and factor analysis
How to improve machine learning algorithms and unfold the power of deep neural networks
$36.65
In this course, we will learn a working process of Machine Learning by watching helpful tutorials. With every tutorial, you will develop new skills and improve your understanding of this exciting sub field of Artificial Intelligence.
₹1,500.00
This Data Science & Engineering EDegree will give you insights into all the essential concepts along with trending tools & technologies revolving around data science
₹16,333.00
₹4,900.00
Data Science Masters Program makes you proficient in tools and systems used by Data Science Professionals. It includes training on Statistics, Data Science, Python, Apache Spark & Scala, Tensorflow and Tableau. The curriculum has been determined by extensive research on 5000+ job descriptions across the globe.
₹165,348
₹89,999
you will know how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python!
₹8640
₹455
Python for Data Science Essential Training is one of the most popular data science courses at LinkedIn Learning. It has now been updated and expanded to two parts—for even more handson experience with Python. In this course, instructor Lillian Pierson takes you step by step through a practical data science project: a web scraper that downloads and analyzes data from the web. Along the way, she introduces techniques to clean, reformat, transform, and describe raw data; generate visualizations; remove outliers; perform simple data analysis; and generate interactive graphs using the Plotly library.
FREE
This course takes you one step closer to becoming a data scientist by offering a subset of the topics covered in our Data Science and Analytics Bootcamps. You'll get a wellrounded intro to the core concepts and technologies taught within the bootcamp, including basic machine learning principles and handson coding experience. Plus, you'll put it all to practice through a mini data science project of your own.
Data Analytics
Your journey to becoming a data analyst will start by understanding more about data and the analysis thereof. This lesson is geared to help you understand why data analysis is an important skill as well as where it can be used to enhance your business making decisions. Each one of our lessons is carefully balanced between theory and practical and in this lesson, you can expect to learn how to import and clean data using a variety of methods and tools. We will focus on logical checks to help guide you towards thinking about data in a more logical fashion.
Free online course list of Data Science, Machine Learning, and AI
 Hadoop Platform and Application Framework from University of California, San Diego ★★☆☆☆(25)
 Whole genome sequencing of bacterial genomes – tools and applications from Technical University of Denmark (DTU) ★★★★★(22)
 Process Mining: Data science in Action from Eindhoven University of Technology ★★★★☆(17)
 Bayesian Statistics: From Concept to Data Analysis from University of California, Santa Cruz ★★★★☆(10)
 Biology Meets Programming: Bioinformatics for Beginners from University of California, San Diego ★★★☆☆(9)
 Data Science Math Skills from Duke University ★★★★☆(9)
 Introduction to Systematic Review and MetaAnalysis from Johns Hopkins University ★★★★★(4)
 Practical Time Series Analysis from State University of New York ★★★★★(2)
 Research Data Management and Sharing from The University of North Carolina at Chapel Hill ★★★★☆(2)
 Introducción a Data Science: Programación Estadística con R from Universidad Nacional Autónoma de México ★★★★☆(2)
 Data Processing Using Python from Nanjing University ★★☆☆☆(2)
 Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript from University of Michigan
 مقدمة عن البيانات الضخمة from University of California, San Diego
 Data Science in Stratified Healthcare and Precision Medicine from University of Edinburgh
 Foundations of Data Science: KMeans Clustering in Python from University of London International Programmes
 Bacterial Bioinformatics from University of Virginia
 生物信息学: 导论与方法 from Peking University
 人群与网络 from Peking University
 医学统计学与SPSS软件（基础篇） from Peking University
 Bioinformatics: Introduction and Methods 生物信息学: 导论与方法 from Peking University
 大數據分析：商業應用與策略管理 (Big Data Analytics: Business Applications and Strategic Decisions) from National Taiwan University
 Handson Text Mining and Analytics from Yonsei University
 Security and Privacy for Big Data – Part 2 from EIT Digital
 Introducción a la Minería de Datos from Pontificia Universidad Católica de Chile
Paid online course list of Data Science, Machine Learning, and AI
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