Best Online Courses for Data Science Enthusiasts for Free

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If you are looking for the best online courses for data science, then you are in the right place; your search will end here. The main purpose of writing this article is to provide you with the information on all available course options and guide you to decide which course is best suitable for you, depending on your knowledge or expertise level.

Here you will find all the free courses available at present time with details information and analysis so that you can easily decide which one is perfect for you. You don’t need to research anymore after reading this article. If you found your course, then please comment to inform us at the end of the article.

Best Online Courses for Data Science - Summary

Best For Beginners

Data Science –     DataCamp

You can start your Data Science journey from here if you are a beginner. This is the best course for beginners. 

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Best For Intermediate

Applied Data Science –  Coursera

This specialized Data Science Program is a perfect mix of theory and Practical application. 

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Best For Advanced

Become a Data Scientist – Udacity

This advanced Program will teach you how to solve Data Science Problems using Python Programming and Data Engineering Skills.

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Best Free    Course

Intro to Data Science – Udacity

This program extensively covers Fundamentals of Data Science, Data wrangling, Normal Distribution, and Data Visualization. 

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Best Online Courses for Data Science

At present time data science is one of the most attractive fields. Due to the shortage of efficient engineers in the field of data science, there is always a demand for data science engineers. For this reason, the salary of a data scientist is also high.

To become a successful data scientist, you should have the following skills:

  1. Programming Skills
  2. Statistics and Probability
  3. Machine Learning
  4. Calculus and Linear Algebra
  5. Data Wrangling
  6. Data Visualization
  7. Database Management
  8. BigData

The best part is, you don’t need a Ph.D. degree to get a job in the data science field, but you need an in-depth knowledge of these skills mentioned above.

So the next question is, where to start?

Right?

So, there are various courses and books available online, even we also provide lots of free PDFs and course resources to help you in your data science journey. Reading a book sometimes may be difficult; that’s why various online courses are available. You can learn advanced data science with these courses at your own pace.

Here is the list of the best online courses for data science aspirants:

1. IBM Certified Data Science Professional – Coursera

Provider: – IBM

Rating: – 4.6/5

Course Duration- 10 months (almost 5 hours per week)

You don’t need any computer science and programming knowledge to join this Professional certification Program. This program is highly rated and most enrolled data science course series. This Professional certificate form IBM for anyone who wants to start career in the data science field.

The whole program consists of 12 courses and the covers many data science skills from Open-source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning.

Now let’s dive into deeper and find what you will gain after completing this course: –

Skills Gain: =

  1. Data Science
  2. Machine Learning
  3. Python Programming
  4. Data Analysis
  5. Data Visualization (DataViz)
  6. Predictive Modelling
  7. Relational Database Management System 9RDBMS)
  8. SQL
  9. Cloud Databases
  10. Pandas, Numpy, and Ipython
  11. Hands-on assignments and data science projects to build a data science portfolio

You will learn to work with the following tools: –

  1. Jupyter/JupyterLab
  2. Zeppelin notebooks
  3. R Studio
  4. Watson Studio

You have the opportunity to handle the following Projects: –

  1. Random album generator,
  2. Predict housing prices,
  3. Best classifier model,
  4. Battle of neighborhoods.

No. of Courses in this Program: –

This Program consists of total 12 courses –

  1. What is Data Science?
  2. Tools for Data Science
  3. Data Science Methodology
  4. Python for Data Science, AI & Devlopment
  5. Python Project For Data Science
  6. Databases and SQL for Data Science
  7. Data Analysis with Python
  8. Data Visualization with Python
  9. Machine Learning with Python
  10. Applied Data Science Capstone
  11. Generative AI: Elevate Your Data Science Career
  12. Data Scientist Career Guide and Interview Preparation

It is also possible to enroll for a single course and you will get a shareable certificate on successful competition of the course. But it is benificial for you that you should complete the full course. 

Extra Benefits:

  1. Along with the IBM certificate, A Professional Certificate from Coursera after successfully completing the Course.
  2. You also Receive a Digital Badge from IBM.
  3. Free access to carrier resources from Coursera.

Who Should Enroll?

  1. Beginners with no prior knowledge to Data Science.
  2. Someone who is looking to start a new career or wants to change the current one.

Interested to Enroll?

If interested, then Checkout all details here: – IBM Data Science Professional Certificate

Now, discuss the next Best Online Course for Data Science

2. Certified Data Scientist – Offer by Udacity

Rating: – 4.7/5

Course Duration- 4 months (almost 10 hours per week)

This course is a nano degree program offered by Udacity. The course mainly focuses on solving data science problems by applying Python Programming knowledge and Data Engineering Skills with the use of Software Engineering Skills.

This Udacity Data Science Nanodegree Program is designed in such a way that after completing every set of courses, you have an opportunity to participate in a project that you need to submit.

The whole program consists of 4 courses and covers many data science skills from Basic supervised machine learning, Neural network basics, Object-oriented Python Programming, PyTorch, NLP pipelines, Computer vision fluency, Recommendation Systems, and machine learning.

No. of Courses in this Program: –

This Program consists of a total of 04 courses –

  1. Data Science and Supervised Machine Learning Introduction
  2. Software Engineering for Data Scientists
  3. Data Science Pipelines
  4. Unsupervised Machine Learning and Recommendation Systems

Hands-on Projects Included:-

You have the opportunity to complete the Projects during the course-

1. Build Disaster Response Pipelines with Figure Eight
2. Recommendation Engine Design with IBM
3. Capstone Project related to Data Science

For the Data Science Capstone Project, you have the option to choose from the Project List given below or any other project as per your choice.

  1. Dog Breed Classification (Neural Networks)
  2. Starbucks ( Customer Segmentation)
  3. Arvato Financial Services (Likely Supervised Learning)
  4. Predict Customer Churn with PySpark
  5. Any other project of your choice

Other Benefits:

  1. You have the opportunity to work on a real-world Project with industry Experts.
  2. An Experienced Industry Expert will guide you and give you project feedback.
  3. Also, Provide Technical Mentor Support

Who Should Enroll?

Those who have the following basic concepts can join:-

  1. You should have Knowledge of Python Programming, also efficient in using data analysis libraries (NumPy, Pandas, and Matplotlib)
  2. Basic SQL Programming and Concepts
  3. Statistics (Both Descriptive and Inferential Types)
  4. Calculus
  5. Linear Algebra
  6. Experience in data wrangling and visualization

Interested in Enrolling?

Check out all details at – Become a Certified Data Scientist – Udacity

3. Data Science Specialization – Offered by Coursera

Provider- Johns Hopkins University

Rating: – 4.5/5

Course Duration- 11 months (almost 7 hours per week)

This program is also highly rated and the most enrolled data science course series. The main thing about this course I want to highlight is that it has a separate section on statistics, and knowing statistics for any data science engineer is very critical for success in their career journey.

This data science programme is an amalgamation of theory and practical applications. In this program R programming language is used for all data-related tasks and other programming purposes.

The whole program consists of 10 different courses.

Skills you will gain:

  • Data Science
  • Machine Learning
  • R-Studio, GitHub, and other useful tools
  • Understand the data problems
  • R Programming
  • Data Cleaning
  • Data Manipulation
  • Data Analysis
  • Cluster Analysis
  • Debugging
  • Regular Expression (REGEX)
  • Hands-on Project using R Programming Language

No. of Courses in this Program: –

This Specialized program has 10 different courses-

  1. The Data Scientist’s Toolbox
  2. R Programming
  3. Getting and Cleaning Data
  4. Exploratory Data Analysis
  5. Reproducible Research
  6. Statistical Interface
  7. Regression Models
  8. Practical Machine Learning
  9. Developing Data Products
  10. Data Science Capstone

You have the option to choose any one of the courses separately from the 10 courses listed above. After completing the course and completing the associated projects successfully, you are entitled to get a certificate, but our recommendation is to complete the whole program always beneficial for you.

Other Benefits:

  1. After completing the program successfully, you will get a shareable certificate.
  2. This program includes various interactive activities to ensure that you are learning well, like Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments, also you will get Course videos & Recordings.

Who Should Enroll?

  1. Anyone who has a beginner’s level of experience with a programming language.
  2. If you want to master the Data Science skill using the programming language R.

Interested in Enrolling?

Check out all details at – Data Science Specialization 

Now, discuss the next Best Online Course for Data Science

4. Applied Data Science with Python Specialization – Offered by Coursera

Provider: University of Michigan

Rating: – 4.5/5

Course Duration – 05 months (7 hours per week)

This specialized program is purposefully designed and uses extensive application of the Python Programming Language. You will learn how to use data science Python libraries like Pandas, matplotlib, nltk, scikit-learn, and networkx.

This Program doesn’t include a separate section for Statistics needed for Data Science and various Machine Learning algorithms. The main focus in this course is on how to use this algorithm using the Python Programming Language

If you decide to learn statistics first, then you should consider the Statistics with Python Specialization. You will Learn Important Statistical Skills and concepts in this Course, which is very important for a data science Engineer.

But my suggestion as per my learning journey first learn Python, then at the next level, when you learn the R programming language that time you can go for learning Statistics side by side. I am telling this because the R programming language is specially designed for statistical problem solving and analysis. It may help you learn faster.

Skills Gain:

  1. Text Mining
  2. Python Programming
  3. Data Cleansing
  4. Data Virtualization
  5. Data Visualization (DaataViz)
  6. Machine Learning (ML) Algorithm
  7. Natural Language Toolkit NLTK)

Number of Courses in this Program:

This Specialization Program consists of 05 Course series-

  1. Introduction to Data Science in Python
  2. Applied Plotting, Charting & Data Representation
  3. Applied Machine Learning in Python
  4. Applied Text Mining in Python
  5. Applied Social Network Analysis in Python

You have the option to choose any one of the courses separately from the list above. You have to earn a certificate for each of these courses.

Other Benefits:

  1. After completing the program successfully, you will get a shareable certificate.
  2. This program includes various interactive activities to ensure that you are learning well, like Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments, also you will get Course videos & Recordings.

Who Should Enroll?

  1. If you have an intermediate level of knowledge in Data Science using Python can enrol for the Program. This Program is not suitable for beginners.
  2. Someone who has basic Python or Programming knowledge can join the program.

Interested in Enrolling?

If interested, then Checkout all details here: – Applied Data Science with Python Specialization

Now, continue the discussion on the Next Best Online Course for Data Science

5. Programming for Data Science with Python – Offered by Udacity

Provider: UDACITY

This program will help you learn skills that are needed to uncover patterns and insights from large data sets, including handling relational databases. This Nanodegree program offered by Udacity will help you learn how to store and represent data using Python data types and variables.

You will be able to use the conditional statement and loops to control the flow of your program. You will get a clear understanding of using complex data structures in Python, like lists, sets, dictionaries, and tuples, collections, which are mainly used for storing related data. You also get the knowledge of two powerful Python libraries – Numpy and Pandas.

Skills Gain:

  1. Basic SQL
  2. SQL Data Cleaning
  3. Introduction to Python
  4. Python Programming with NumPy and Pandas
  5. Data Visualization with Tableau(DaataViz)
  6. Version Control with GitHub

Courses You Will Find in Programming for Data Science with Python?

  • Introduction to SQL
  • Introduction to Python Programming
  • Introduction to Version Control
  • Data Visualization with Tableau

Extra Benefits:

  • You have the opportunity to work on a real-world project with Industry Experts.
  • An experienced Reviewer will give you Project feedback so that you can experience the real-world situations.
  • You will provide technical mentor support.
  • Apart from this, you also get career mentoring services like Resume services, GitHub review, LinkedIn Profile Review, etc.

Who Should Enroll?:

There are no criteria to join this program, but if you have basic computer skills, then you have an extra advantage.

Interested in Enrolling?

If interested, then check out all details here: – Programming for Data Science with Python