As we step into the year 2024, the demand for skilled data science professionals continues to soar. To help you navigate this exciting field, we’ve curated a premium collection of 50 data science free courses that cater to learners of all levels – from beginners to masters.
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Table of Contents
what is Data Science?
Data Science is an interdisciplinary field that involves the study of data to extract insights, patterns, and knowledge from large and complex datasets. It integrates statistics, scientific computing, algorithms, and domain knowledge to analyze structured and unstructured data.
Data science aims to uncover hidden patterns, generate insights, and support decision-making processes. Data scientists use advanced machine learning algorithms to process, organize, and learn from data, creating predictive models and actionable insights.
The field of data science has gained significant importance due to the increasing relevance and accessibility of big data, leading to a growing demand for professionals who can work with data effectively and make tangible impacts across various industries.
why we Enroll In Data Science Free Courses?
We enroll in Data Science Free Courses to acquire valuable skills in data analysis, machine learning, and other data science domains without incurring any expenses. These courses provide an opportunity to enhance our knowledge, stay updated with industry trends, and demonstrate proficiency to potential employers through the certificates earned.
While the certificates from free data science courses may not carry the same weight as those from accredited degree programs, they still hold value by showcasing practical skills and a commitment to continuous professional development. By enrolling in these courses, individuals can expand their skill set, improve career prospects, and stay competitive in the rapidly evolving field of data science.
Here Are Premium Collection of 50 Data Science Free Courses
1. Python
Python is a computer language that is required for data science. It will be taught to you for machine learning, analysis, visualization, and data manipulation. Since it provides a wide range of tools and frameworks that make complicated tasks easier, data scientists frequently choose it.
Python for Beginners by Programming with Mosh
Python for Everybody by freecodecamp
Intermediate Python Programming by freecodecamp
CS50’s Introduction to Programming with Python by Harvard University
Principles of Computation with Python by Carnegie Mellon University
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2. Databases and SQL
The query language known as SQL (Structured Query Language) is used to administer and work with relational databases, which are essential for storing, retrieving, and analyzing data.
SQL Tutorial – Full Database Course for Beginners by freecodecamp
Learn SQL Basics for Data Science Specialization by UC Davis
NoSQL vs SQL – Which Type of Database Should You Use? by freecodecamp
Intro to Database Systems by Carnegie Mellon University
Advanced Database Systems by Carnegie Mellon University
3. Data Analytics
As you may be aware, a key component of data science that assists companies in making defensible decisions grounded in data-driven insights is data analytics. To do this, a range of instruments and methods must be applied in order to extract useful information from the data.
Google Data Analytics Professional Certificate by Google
Data Analysis with Python for Excel Users by freecodecamp
Data Analysis with Python Certification by freecodecamp
Advanced Data Analytics Professional Certificate by Google
Data Analyst Professional Certificate by IBM
4. General Data Science
A wide number of topics are covered in general data science courses, including data modelling, time series analysis, and manipulation.
Free Harvard Courses to Learn Data Science by Harvard University
Top 6 Free Data Science Courses
Data Visualization by Kaggle
Introduction to Data Science with Python by Harvard University
Statistical Learning by Stanford University
5. Business Intelligence
Business intelligence solutions such as Power BI and Tableau facilitate the conversion of unprocessed data into meaningful insights that can be used to inform decisions. Other than SQL, you don’t need to learn any other programming languages.
Data Warehousing for Business Intelligence by University of Colorado
Power BI Full Course by Edureka
Tableau For Data Science by Simplilearn
Business Intelligence Course with Certificate by Simplilearn
Business Analyst Roadmap 2024 by WsCube Tech
6. Data Engineering
The branch of data science known as “data engineering” is responsible for planning, constructing, and managing data infrastructure and pipelines.
Data Engineering by IBM
Data Engineer Learning Path by Google
Database Engineer Professional Certificate by Meta
Big Data Specialization by UC San Diego
The Data Engineering Zoomcamp by DataTalks.Club
7. Machine Learning
Within the field of artificial intelligence, machine learning entails developing algorithms that can learn from data and make predictions. For data scientists, it is a crucial ability.
Intro to Machine Learning by Kaggle
Machine Learning for Everybody by Kylie Ying
Machine Learning in Python with Scikit-Learn by FUN MOOC
Machine Learning Zoomcamp by DataTalksClub
CS229: Machine Learning by Stanford University
8. Deep Learning
A branch of machine learning called “deep learning” is centered on multi-layered neural networks. It is extensively utilized in natural language processing, image and audio recognition, and other sophisticated activities.
Deep Learning Specialization by DeepLearning.AI
Artificial Intelligence: The Big Picture of AI by Pluralsight
Basics of Deep Learning by Udemy
The Key to Understanding Deep Learning by MIT
Deep Learning Crash Course for Beginners by freecodecamp
9. Generative AI
The technique of producing new content—such as text, graphics, and audio—by examining patterns and structures discovered from preexisting data is known as generative AI. You will mostly learn about Large Language Models and how to train, optimize, and use them during your learning process.
Generative AI with Large Language Models by AWS
Generative AI for Beginners by Microsoft
LangChain & Vector Databases in Production by Activeloop
Large Language Models: Application through Production by DataBricks
Large Language Model Course by Maxime Labonne
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10.MLOps
The process of automating and optimizing machine learning model deployment and management is known as machine learning operations, or MLOps for short. It is currently one of the data science industry’s most sought-after job categories.
Python Essentials for MLOps by Duke University
Machine Learning Engineering for Production (MLOps) Specialisation by DeepLearning.AI
MLOps for Beginners by Udemy
MLOps bootcamp from DataTalks.Club
Made With ML by Goku Mohandas
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