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Data Science is one of the most in-demand skills in today’s digital industry, with companies of all sizes looking for skilled Data Scientists to help them make sense of the huge amounts of data they collect every day in order to boost sales, profits, and overall company processes.
We’ve got you covered if you want to learn Data Science and Data Analysis and are seeking some free online training courses to get started.
The following are some online courses that will help you master Data Science.
12 Free Data Science Courses
1. Data Science Foundations from Great Learning
Data Science is a branch of computer science that uses methods and algorithms to extract information from data, whether structured or unstructured.
This free online data science course is a wonderful place to start for beginners. It will introduce learners to the Data Science and Analytics Landscape, as well as the principles of Data Science and Data Science Life Cycle. The student will also be introduced to Data Mining, Machine Learning, and data science languages.
2. Introduction to Data Science Specialisation from Coursera
Do you want to learn more about data science but aren’t sure where to begin? This IBM 4-module specialisation course will prepare you for a job in data science or further advanced learning in the subject by providing you with the fundamental foundational skills that any data scientist requires.
This course will give you an overview of data science and the work that data scientists do. You’ll study how data science may be used in a variety of disciplines and how data analysis can assist you in making data-driven decisions.
3. Intro to Data Science from Udacity
The core concepts in data science will be covered in this course, which will include:
· Manipulation of data
· Statistical and Machine Learning Data Analysis
· Information Visualisation and Data Communication
· Working with Big Data on a Large Scale
Instead of focusing on a single topic in depth, the course will focus on depth and explain the subjects briefly. This will allow you to try out and apply some of the fundamental data science approaches.
4. Introduction to Data Science from SkillUp
This online Data Science course will teach you the fundamentals and how to get started as a Data Scientist. You’ll learn about the best Python libraries for Data Science, as well as some of the most important Data Science algorithms, and the best Data Science jobs, skills, and income trends.
5. Data Science Fundamentals from IntelliPaat
This online course will teach you everything you need to know about data science and how to apply it in real-world situations. You’ll go through a variety of topics, including the necessity for Data Science, what it is, and how it works. In the second half, you’ll also cover topics including big data, machine learning, deep learning, and R studio.
6. Introduction to Data Science using Python from Udemy
We will cover the fundamentals of Data Science and Machine Learning in this course. In-depth algorithms will not be covered in this course. This module covers everything there is to know about data science and how it is applied. We’ll go over some widely used keywords and develop some Python code. You will spend some time walking you through the various career paths in the Business Intelligence Stack, including where Data Science fits in, what Data Science is, and what tools you’ll need to get started.
7. Data Science Specialisation from Coursera
From asking the proper questions to developing inferences and reporting results, this specialisation course covers the concepts and tools you’ll need throughout the data science pipeline. By the end of the course, you’ll have built a data product utilising real-world data, you’ll be able to apply the skills you’ve learned.
8. Probability for Data Science from Great Learning
To enter the field of data science, it is necessary to understand the concepts of probability, as they form the backbone of many fundamental concepts.
The Probability for Data Science course will teach you about probability and the Bayes theorem, as well as introduce you to the concept of marginal probability. This course is for those interested in learning more about the data science field of computer science.
9. Introduction to Data Science for Complete Beginners from Udemy
Data science and machine learning is one of the most popular fields today, and it has a promising future. People are regularly confronted with numerous challenges, the most significant of which was the presence of educational gaps for the learner, the majority of which were in the theoretical sector.
This course fills in the gaps and has helped many students gain a thorough understanding of the topic of data science.
This course will assist you in becoming a professional if you have no prior knowledge in data science and are looking for a rapid introduction.
10. IBM Data Science Professional Certificate from Coursera
Data science is one of the most in-demand occupations of the decade, with a demand for data scientists who can analyse data and convey findings to inform data-driven decisions at an all-time high. Anyone interested in pursuing a career in data science or machine learning can benefit from this IBM Professional Certificate, which will help them gain career-relevant skills and experience.
11. Applied Data Science with Python Specialisation from Coursera
Learners will be introduced to data science using the Python programming language in this course. This skill-based specialisation course is for learners with a basic understanding of Python or programming who want to use popular Python toolkits like pandas, matplotlib, scikit-learn, nltk, and networkx to apply statistical, machine learning, information visualisation, text analysis, and social network analysis techniques to gain insight into their data.
12. Data Science with R Programming from SkillUp
In this programme, you will learn the fundamentals of Data Science with R basics and will become an expert in data exploration, data structures, and data visualisation. This data science R basics course provides the necessary work-ready education for all aspiring data scientists, analysts, and professionals interested in pursuing a career in data science. Statistics, regression analysis, classification, and clustering are all covered in the programme.
We hope these courses will help you in learning data science for absolutely free.