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Data Science Essentials - By Microsoft
Explore data visualization and exploration concepts with experts from MIT and Microsoft, and get an introduction to machine learning.
🔥 Free Training 🔥 —————— Pay only if you want a certificate
#DataScience #tutorial #beginners #free #Course
Data Science Essentials - By Microsoft
Explore data visualization and exploration concepts with experts from MIT and Microsoft, and get an introduction to machine learning.
🔥 Free Training 🔥 —————— Pay only if you want a certificate
#DataScience #tutorial #beginners #free #Course
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CS109 Data Science - Harvard 🔥 Free Training 🔥
Prerequisites: Python (Only Python is used throughout the course), fundamental knowledge of how the data science libraries work.
About the course:
This data science course offered by Harvard isn’t on a platform like edX or Coursera and doesn’t provide any certification. This might be one of the best courses for beginners to get started with data science and is completely free.
The course contains a list of videos, lecture slides, lab videos & notebook and is a 13-week intensive program that wrapping up course content: (Listed in order of the course chronology)
* Web Scraping, Regular Expressions, Data Reshaping, Data Cleanup, Pandas.
* Exploratory Data Analysis
* Pandas, SQL and the Grammar of Data
* Statistical Models
* Storytelling and Effective Communication
* Bias and Regression (With more regression)
* Classification, k-Nearest Neighbors, Cross-Validation, Dimensionality Reduction, PCA, MDS
* SVM, Evaluation
* Decision Trees and Random Forests
* Ensemble Methods and Best Practices
* Best Practices and Recommendations
* MapReduce, Spark
* Bayes Theorem, Bayesian Methods and Text Data
* Clustering
* Effective Presentations
* Experimental Design
* Deep Networks
* Guest Lecture: Building Data Science
#DataScience #tutorial #beginners #free #Course
CS109 Data Science - Harvard 🔥 Free Training 🔥
Prerequisites: Python (Only Python is used throughout the course), fundamental knowledge of how the data science libraries work.
About the course:
This data science course offered by Harvard isn’t on a platform like edX or Coursera and doesn’t provide any certification. This might be one of the best courses for beginners to get started with data science and is completely free.
The course contains a list of videos, lecture slides, lab videos & notebook and is a 13-week intensive program that wrapping up course content: (Listed in order of the course chronology)
* Web Scraping, Regular Expressions, Data Reshaping, Data Cleanup, Pandas.
* Exploratory Data Analysis
* Pandas, SQL and the Grammar of Data
* Statistical Models
* Storytelling and Effective Communication
* Bias and Regression (With more regression)
* Classification, k-Nearest Neighbors, Cross-Validation, Dimensionality Reduction, PCA, MDS
* SVM, Evaluation
* Decision Trees and Random Forests
* Ensemble Methods and Best Practices
* Best Practices and Recommendations
* MapReduce, Spark
* Bayes Theorem, Bayesian Methods and Text Data
* Clustering
* Effective Presentations
* Experimental Design
* Deep Networks
* Guest Lecture: Building Data Science
#DataScience #tutorial #beginners #free #Course
cs109.github.io
Class Material
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Essential Math for Machine Learning: Python Edition
Learn the essential mathematical foundations for machine learning and artificial intelligence.
🔥 Free Training 🔥 —————— Pay only if you want a certificate
#python #DataScience #tutorial #beginners #free #maths #machineLearning
Essential Math for Machine Learning: Python Edition
Learn the essential mathematical foundations for machine learning and artificial intelligence.
🔥 Free Training 🔥 —————— Pay only if you want a certificate
#python #DataScience #tutorial #beginners #free #maths #machineLearning
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Mathematics for Machine Learning - by Garrett Thomas
Machine learning uses tools from a variety of mathematical fields. This document is an attempt to
provide a summary of the mathematical background needed for an introductory class in machine
learning, which at UC Berkeley is known as CS 189/289A.
🔥 Free eBook 🔥
#DataScience #ebook #beginners #free #machineLearning
Mathematics for Machine Learning - by Garrett Thomas
Machine learning uses tools from a variety of mathematical fields. This document is an attempt to
provide a summary of the mathematical background needed for an introductory class in machine
learning, which at UC Berkeley is known as CS 189/289A.
🔥 Free eBook 🔥
#DataScience #ebook #beginners #free #machineLearning
🌟
Introduction to Data Science
Data Science is the hottest field of the century. Learn more about why data science, artificial intelligence (AI) and machine learning are revolutionizing the way people do business and research around the world. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.
🔥 Free Training 🔥
#DataScience #tutorial #beginners #free #machineLearning #Course
Introduction to Data Science
Data Science is the hottest field of the century. Learn more about why data science, artificial intelligence (AI) and machine learning are revolutionizing the way people do business and research around the world. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.
🔥 Free Training 🔥
#DataScience #tutorial #beginners #free #machineLearning #Course
cognitiveclass.ai
Data Science 101
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then…
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Data Science Tools
Get started with some of the most popular tools for collaborative data science, including RStudio IDE, Jupyter Notebooks, Apache Zeppelin notebooks, and IBM Watson Studio. Use the tools directly on Skills Network Labs, a cloud lab environment that brings powerful open data science tools together so you can analyze, visualize, explore, clean data, run models and create apps.
🔥 Free Training 🔥
#DataScience #tutorial #beginners #free #machineLearning #Course #tools
Data Science Tools
Get started with some of the most popular tools for collaborative data science, including RStudio IDE, Jupyter Notebooks, Apache Zeppelin notebooks, and IBM Watson Studio. Use the tools directly on Skills Network Labs, a cloud lab environment that brings powerful open data science tools together so you can analyze, visualize, explore, clean data, run models and create apps.
🔥 Free Training 🔥
#DataScience #tutorial #beginners #free #machineLearning #Course #tools
cognitiveclass.ai
Data Science Tools
Learn about the most popular data science tools, including how to use them and what their features are.
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Introduction to Python: Absolute Beginner - By Microsoft
In this course that's perfect for true beginners, learn Python basics and start coding right away.
What you'll learn
* Using Python in Jupyter Notebooks
* Gathering input and manipulating input/output
* Building reusable Functions with parameters and return values
* Decisions and repetition using conditional statements and loops
🔥 Free Training 🔥 —————— Pay only if you want a certificate
#python #tutorial #beginners #free #Course
Introduction to Python: Absolute Beginner - By Microsoft
In this course that's perfect for true beginners, learn Python basics and start coding right away.
What you'll learn
* Using Python in Jupyter Notebooks
* Gathering input and manipulating input/output
* Building reusable Functions with parameters and return values
* Decisions and repetition using conditional statements and loops
🔥 Free Training 🔥 —————— Pay only if you want a certificate
#python #tutorial #beginners #free #Course
🌟
Python Core and Advanced - Master the fundamentals of Python in easy steps
Whether you are a College student learning the fundamentals of Python or a Data Science expert using python to analyze your data or a Web Developer using python frameworks like DJango or a Experienced python developer who wants to fill in the gaps , this course will help you accomplish your goals.
🔥 Free Training 🔥 —————— Pay only if you want a certificate
#python #tutorial #advanced #free #Course
Python Core and Advanced - Master the fundamentals of Python in easy steps
Whether you are a College student learning the fundamentals of Python or a Data Science expert using python to analyze your data or a Web Developer using python frameworks like DJango or a Experienced python developer who wants to fill in the gaps , this course will help you accomplish your goals.
🔥 Free Training 🔥 —————— Pay only if you want a certificate
#python #tutorial #advanced #free #Course
Udemy
Python for beginners
Master the fundamentals of Python while working on various usecases in easy steps
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Data Science Methodology
This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand.
Accordingly, in this course, you will learn:
* The major steps involved in tackling a data science problem.
* The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment.
* How data scientists think!
🔥 Free Training 🔥
#DataScience #tutorial #beginners #free #machineLearning #Course
Data Science Methodology
This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand.
Accordingly, in this course, you will learn:
* The major steps involved in tackling a data science problem.
* The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment.
* How data scientists think!
🔥 Free Training 🔥
#DataScience #tutorial #beginners #free #machineLearning #Course
cognitiveclass.ai
Data Science Methodology
Grab your lab coat, beakers, and pocket calculator ... wait what? Wrong path! Fast forward and get in line with emerging data science methodologies that are in use and are making waves or rather predicting and determining which wave is coming and which one…
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Future of Artificial Intelligence
Learn fundamentals of Artificial Intelligence from Scratch
AI Course is divided into four sections.
#ArtificialIntelligence #AI #tutorial #beginners #free #Course
Future of Artificial Intelligence
Learn fundamentals of Artificial Intelligence from Scratch
AI Course is divided into four sections.
* The first is about the introduction of Artificial Intelligence i.e. what is AI?
* The second is How & Why AI is important to us, etc. the next section covers the relevance of AI with other technologies like Data Science, Machine Learning, Internet of Things, Virtual Reality, etc.
* The third section covers the AI Project Cycle - Problem Scoping, Data Acquisition, Data Exploration, Modelling & Evaluation.
* The last section covers a case study on Neural Network. All these sections will help you to understand AI and also help to decide your career in AI.
🔥 Free AI Course 🔥 #ArtificialIntelligence #AI #tutorial #beginners #free #Course
Udemy
Top Artificial Intelligence (AI) Courses Online - Updated [January 2026]
Learn AI with an artificial intelligence course from experienced instructors on Udemy, and enhance your computer science skills to further your career.