Data Science Course

10 Best + Free Online Data Science Courses

Data Science is one of the most in-demand talents in today’s digital industry, with organizations 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.
You’ve come to the correct place if you want to learn Data Science and Data Analysis and are seeking some free online training courses to get started. For the past decade, every business has relied on statistics to market its goods. Data is used in a variety of industrial activities. Products are created following thorough data analysis of various users.
Companies are looking for specialists who can help them manage their data these days. They require data analysts, and because this is a relatively new profession, there is little competition. Aside from that, organizations are willing to compensate data analysts well.

1. An Introduction to Data Science (Udemy)

This is one of the greatest free Udemy Data Science courses. This is the best course for you if you are a visual learner. This course will teach you how to effectively manage data.
You’ll need abilities in data analysis to help you sort out the most important data from a mass of unimportant data. This course will assist you in developing these skills, as well as teach you about data science and its history.
Apart from that, this course will show you how to grasp the discipline of data analysis. You will be able to tell the difference between noise and true information after completing this course.

What you will learn –

  • Data Science and its History.
  • Road map or procedure to master data science and become a data scientist.
  • It’s requirements and application in various fields.
  • Difference Between Noise and Real Data.
  • How to become an expert in data science.
  • What are the skills required to be a data scientist?

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 1 hour approx

Instructor – Kumar Rajmani Bapat

2. Essentials of Data Science (Udemy)

This is one of the greatest free Udemy Data Science courses. This is the best course for you if you are a visual learner. As Big Data becomes an increasingly significant element of our lives, yData Science is growing at a rapid pace through this course.
Because data is universal, Data Science’s applications are virtually limitless; all you need is access to the data of the system you wish to investigate.
There are a lot of questions about what Data Science is, what Data Scientists do, and what you need to succeed as a Data Scientist because it’s such a young field.
This course will provide you with an overview of the three core areas of data science that any good data scientist should be familiar with, and being effective in these areas can be the difference between success and failure. After completing this course, you will have a thorough understanding of what Data Science entails and will be able to determine whether it is the correct subject for you. You’ll also know what aspects of Data Science are crucial, allowing you to make well-informed judgments about what to study.

What you will learn –

  • Understand the concepts of Data Science.
  • Identify different data types.
  • Know the 3 essential fields that data science is made up of.
  • You want to know what someone in the Data Science field does.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 2 hours approx

Instructor – Maximilian Schallwig

3. What is Data Science? (Coursera)

Since ancient times, the art of identifying data insights and trends has been practiced. The ancient Egyptians used census data to improve tax collection efficiency and were able to anticipate the annual flooding of the Nile river. People who work in data science have built out a separate and distinct field for themselves since then. Data science is the name of the field. We will meet some data science practitioners and gain an overview of what data science is nowadays in this course.

What you will learn –

  • Learn about the approaches companies can take to start working with data science. 
  • Learn about some of the qualities that differentiate data scientists from other professionals.
  • Learn about analytics, story-telling, and the pivotal role data scientists play in creating an effective final deliverable.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 8 hours approx

Instructor – Rav Ahuja

4. Data Science MicroMasters(edX)

Data Science is one of the hottest fields in technology right now. Learn how to ask the correct questions, manipulate data sets, and visualize your findings in compelling ways to acquire fresh insights from big data.
You will get a comprehensive grasp of the mathematical and computational tools that form the foundation of data science, as well as how to apply those skills to produce data-driven business recommendations, in this MicroMasters program.
This MicroMasters program combines the mathematical and applied aspects of data science education.
Probability, statistics, and machine learning are all topics covered in math classes. To delve into real-world data, the applied courses cover the usage of specialized toolkits and languages such as Python, Numpy, Matplotlib, pandas, and Scipy, as well as the Jupyter notebook environment and Apache Spark.
You’ll learn how to acquire, clean, and analyze big data using popular open-source software, allowing you to undertake large-scale data analysis and visually communicate your findings. It will make you a highly desirable employee when combined with knowledge in a specific type of business.

What you will learn –

  • How to load and clean real-world data.
  • How to make reliable statistical inferences from noisy data.
  • How to use machine learning to learn models for data.
  • How to visualize complex data.
  • How to use Apache Spark to analyze data that does not fit within the memory of a single computer.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 10 months approx

Instructor – Leo Porter, Sanjoy Dasgupta, Ilkay Altintas, Alon Orlitsky, Yoav Freund.

5. Python for Data Science and Machine Learning Bootcamp (Udemy)

This thorough course will teach you how to leverage Python’s capability to analyze data, generate stunning visualizations, and implement sophisticated machine learning algorithms!
The top job on Glassdoor is data scientist, and according to Indeed!, the average income for a data scientist in the United States is over $120,000. Data Science is a fulfilling career that allows you to work on some of the most interesting challenges in the world!
This course is appropriate for beginners with some programming expertise as well as experienced developers who want to move into Data Science.

What you will learn –

  • Use Python for Data Science and Machine Learning.
  • Use Spark for Big Data Analysis.
  • Implement Machine Learning Algorithms.
  • Learn to use NumPy for Numerical Data.
  • Learn to use Pandas for Data Analysis.
  • Learn to use Matplotlib for Python Plotting.
  • Learn to use Seaborn for statistical plots.
  • Use Plotly for interactive dynamic visualizations.
  • Use SciKit-Learn for Machine Learning Tasks.
  • K-Means Clustering.
  • Logistic Regression.
  • Linear Regression.
  • Random Forest and Decision Trees.
  • Natural Language Processing and Spam Filters.
  • Neural Networks.
  • Support Vector Machines.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 25 hours approx

Instructor – Jose Portilla

6. IBM Data Science Professional Certificate (Coursera)

Data science is one of the most in-demand occupations of the decade, with a demand for data scientists who can analyze 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.
It’s a fallacy that you need a Ph.D. to work as a data scientist. Anyone with a desire to study can enroll in this Professional Certificate program – no prior understanding of computer science or programming languages is required – and gain the skills, tools, and portfolio necessary to compete for entry-level data scientist jobs.
The curriculum is made up of nine online courses that will teach you how to use open-source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning techniques, among other things. Using real data science tools and real-world data sets, you’ll study data science through hands-on practice in the IBM Cloud.

What you will learn –

  • Learn what data science is, the various activities of a data scientist’s job, and methodology to think and work like a data scientist.  
  • Develop hands-on skills using the tools, languages, and libraries used by professional data scientists.  
  • Import and clean data sets, analyze and visualize data, and build and evaluate machine learning models and pipelines using Python. 
  • Apply various data science skills, techniques, and tools to complete a project and publish a report.  

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 11 months approx

Instructor – Rav Ahuja

7. Data Science for Everyone (DataCamp)

Statistical analysis, predictive modeling, and machine learning algorithms are all examples of statistical analysis. You’ll learn data science in this non-technical course, and you’ll learn everything you’ve always wanted to know about this fast-growing and intriguing profession without having to write a single line of code. You’ll learn about the many data scientist positions, as well as core topics like A/B testing, time series analysis, and machine learning, as well as how data scientists extract information and insights from real-world data, through hands-on exercises. So don’t let the jargon scare you away. Start studying and developing skills in an in-demand area, and see why data science is for everyone!

What you will learn –

  • Learn about the different data scientist roles, foundational topics like A/B testing.
  • Time series analysis, and machine learning, and how data scientists extract knowledge and insights from real-world data.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 2 hours approx

Instructor – Hadrien Lacroix, Sara Billen, Lis Sulmont

8. Learn Data Science With R (Udemy) 

This is the R programming course, which will introduce Data Science with R. It has over 8.5 hours of material and touches most of the R concepts, which are useful for Data scientists.

What you will learn –

  • Basics of Data Science like. 
  •  What is Data Science.
  • Data Types.
  • Vectors.
  • Factors.
  • List.
  • Matrices.
  • Data Frames.
  •  Read Data from Files.
  • Read Data from oracle Database using RJDBC.
  • Read Data from oracle Database using RODBC.
  • Read Data from oracle Database using ROracle.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 44 hours approx

Instructor – Ram Reddy

9. NumPy for Data Science Beginners: 2021 (Udemy)

NumPy is an important Python library for both Data Science and Machine Learning, and having a thorough understanding of it can help you in your day-to-day work as a Data Scientist. If you’re searching for a free NumPy course, this Udemy course is a great place to start. From installing and importing NumPy to solving complex issues including array generation, transformations, and random sampling, this course covers it all.
The course is delivered as a series of on-demand lecture-style videos with plenty of animated examples, code walkthroughs, and challenge questions to test your knowledge, making it both entertaining to watch and allowing you to learn at your own pace.

What you will learn –

  • Different Numpy function applied as Matrix/Array Operations.
  • Different Numpy function for Linear Algebra, Statistics, Math.
  • Numpy for Matplotlib visualization.
  • Numpy Quizzes.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 2 hours approx

Instructor – Abbosjon Madiev

10. Data Science: R Basics Certificate by Harvard University (edX)

This course will teach you the fundamentals of R programming. Because learning R to tackle a specific problem helps you remember it better, you’ll utilize a real-world dataset concerning crime in the United States. You’ll gain the R abilities you’ll need to address critical questions about crime disparities between states.
R’s functions and data types will be covered first, followed by how to work with vectors and when to employ advanced functions like sorting. You’ll learn how to use general programming commands like “if-else” and “for loop,” as well as how to manipulate, analyze, and visualize data.

What you will learn –

  • Basic R syntax.
  • Foundational R programming concepts such as data types, vectors arithmetic, and indexing.
  • How to perform operations in R including sorting, data wrangling using dplyr, and making plots.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 8 weeks approx

Instructor – Rafael Irizarry

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