10 Best Data Science Courses Online [2024]

Data Science has become one of the most demanding skills in today’s technology-driven industry. You must have basic skills like a programming language, and statistics before you dwell into it. Beginners who are focusing on building a career in it must have the required skill. It is a high-paying job that also has future goals. You can also become a data scientist by just going through the basic to advanced-level concepts. 

If you want to dive deep into the advanced concepts of data science, you’ve come to the right place. This article is particularly made for beginners who are looking for a career in data science. You’ll find the 10 best data science courses online for beginners which provide you with complete knowledge, are the most ranked, and are created by industry experts. Let’s begin

But before we begin, let’s understand what is data science.

What is Data Science?

Data Science is the study and research of data to extract meaningful insights for business growth, It combines principles and practices from mathematics, statistics, and AI to analyze large amounts of data. It has the capability to answer the what, why, and when of any report. Since all modern organizations talk about data, you’ve to take care of its storage, and management and that’s where data science plays an important role. 

10 Best Data Science Courses For Beginners

Let’s have a look at the best Data Science Courses in India for beginners which covers an in-depth understanding. 

1. Complete Machine Learning & Data Science Course [GeeksforGeeks]

One of the best online data science courses for beginners is the Complete Machine Learning & Data Science Program, offered by GeeksforGeeks, and taught by industry experts. This is a master course covering all the important concepts required for you to land your dream job as a data scientist. It gives you a 360-degree learning experience designed to get a complete hands-on experience with data science. 

This course covers beginner to advanced-level concepts, a blend of Self-Paced Learning Modules, and Live Guidance sessions. It is designed for students and working professionals as well which teaches you about collecting various types of data to storing, pre-processing, analyzing, model building, and deploying them with the latest Data Science techniques. You’ll get to work on 40+ industry projects, have a weekly live session with industry mentors, placement assistance, and 6 months of 1:1 24X7  doubt assistance.

Course Content

1. Python for Data Science
2. Data Analytics
3. Data Visualization and Scrapping
4. Machine Learning and AI
5. Specialization

What Will You Learn

• Data Analysis with Python
• Working with different types of Datasets
• DIY Datasets with Web Scraping
• Dashboards with Tableau
• Building ML Models from Scratch
• NLP with NLTK 
• Neural Networks with TensorFlow
• Working with Images with OpenCV
• Capstone Projects with Industry Experts

• Course Link: Complete Machine Learning & Data Science Course
• Price: Paid (at an affordable price)
• Duration: 125+ hours
• Certificate: Yes

2. Professional Certificate in Data Science [Harvard University]

Another best online course on data science for beginners is Professional Certificate in Data Science from Harvard University. This is a program that is the best one for beginners who want to step into the world of data science. With this course, you’ll be ready to tackle real-world challenges related to data analysis, R programming, and machine learning. 

This course is a blend of nine courses that are flexible and after completion of this program, you’ll be allowed to work on a data analysis project. You’ll also be able to work on implementing machine learning algorithms using advanced tools. 

Course Content: This program includes nine series of data science which are-

1. R Basics
2. Visualization
3. Probability
4. Inference and Modeling
5. Productivity Tools
6. Wrangling
7. Linear Regression
8. Machine Learning
9. Capstone

What Will You Learn

• Fundamental R programming skills
• Probability, inference, and modeling
• Tidyverse, including data visualization with ggplot2 and data wrangling with dplyr
• Unix/Linux, git and GitHub, and RStudio
• Implement machine learning algorithms
• Fundamental data science concepts with real-world case studies

• Price: Paid
• Duration: 1 year 5 months (2-3 hours/week approx) 
• Certificate: Yes

3. Applied Data Science with Python Specialization [Coursera]

In this course Applied Data Science with Python Specialization, you gain new insights into your data, learn to apply data science methods and techniques, and acquire analytical skills. You’ll gain skills like Text Mining, Python Programming, Pandas, and Matplotlib. 

Through this course, you’ll enhance data analysis skills with applied machine learning. You can add the certificate to your LinkedIn profile, resume, or CV to increase your chance of getting hired as a data scientist or a similar kind of role. 

Course Content: This is a blend of 5 series on courses which are:

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

• Price: Paid
• Duration: 5 months
• Certificate: Yes

4. Data Science Professional Certificate [IBM]

This IBM Data Science Professional Certificate course is to get you entry-level jobs in data science. You develop hands-on skills using the tools, languages, and libraries used by professional data scientists. 

You’ll learn to apply various data science skills, techniques, and tools to build a project using a real-world data set. You’ll get an employer-recognized certificate from IBM. After completion of this course, you’ll get soft skills training, review resume, interview preparation, and career support. 

Course Content

1. What is Data Science?
2. Tools for Data Science
3. Data Science Methodology
4. Python for Data Science, AI & Development
5. Python Project for Data Science
6. Databases and SQL for DS with Python
7. Data Analysis with Python
8. Data Visualization with Python
9. Machine Learning with Python
10. Applied Data Science Capstone

What Will You Learn

• Data Science and ML
• Big Data
• Data Mining
• Github
• Python Programming
• Rstudio
• Numpy
• Data Analysis
• Pandas
• Cloud Databases

• Price: Paid
• Duration: 5 months
• Certificate: Yes

5. Machine Learning with JavaScript [Udemy]

The next best online data science course for beginners is Machine Learning with JavaScript. This course will help you to master machine learning from scratch using JavaScript and Tensorflow with hands-on projects. Having a basic knowledge of JavaScript will add a bonus to your learning experience. You’ll get to learn about ML algorithms and also will be able to use them in real life. 

You should at least have a basic understanding of terminal and command line usage. In this course, you get 4 articles, and 2 downloadable resources, accessible on mobile and TV, and also will get a certificate on completion of this course. 

Course Content

1. What is Machine Learning?
2. Algorithm Overview
3. Onwards to Tensorflow JS!
4. Applications of Tensorflow
5. Getting started with Gradient Descent
6. Gradient Descent with Tensorflow
7. Increasing Performance with Vectorized Solutions
8. Plotting data with JS
9. Gradient Descent Alterations
10. Natural Binary Classification
11. Multi-Value Classification
12. Image Recognition in Action
13. Performance Optimization
14. Appendix: Custom CSV Loader

What Will You Learn

• Advanced memory profiling 
• Build apps powered by the powerful Tensorflow JS library
• Develop programs that work either in the browser or with Node JS
• Write clean, easy-to-understand ML code
• Linear Algebra to dramatically speed up your code
• Comprehend how to twist common algorithms
• Plot the results of your analysis using a custom-build graphing library
• Performance-enhancing strategies
• Data loading techniques

• Price: Paid
• Duration: 17.5 hours of video
• Certificate: Yes

6. The Data Science Course 2024: Complete Data Science Bootcamp [Udemy]

This course offered by Udemy is one of the best online data science courses for beginners as you require no prior experience. This course helps you to gradually build up your skills in data science and will explain each concept thoroughly. It teaches you about Statistics, Python, ML, and DL. 

It makes you industry-ready by updating your resume with data science skills, You also get the opportunity to put those skills into real-life applications. You get a course completion certificate which when added to your resume adds value to it. 

Course Content: This course has been split into 7 parts which are again split into sub-sections:

1. Part I: The Field of Data Science
2. Part II: Probability
3. Part III: Statistics
4. Part IV: Introduction to Python
5. Part V: Advanced Statistical Methods in Python
6. Part VI: Mathematics
7. Part VII: Deep Learning

What Will You Learn

• Understanding of the data science field and the type of analysis carried out  
• Mathematics  
• Statistics   
• Python   
• Applying advanced statistical techniques in Python   
• Data Visualization  
• Machine Learning  
• Deep Learning

• Price: Paid
• Duration: 31 hours of video
• Certificate: Yes

7. Machine Learning, Data Science, and Deep Learning with Python [Udemy]

Again the best online data science course for beginners is Machine Learning, Data Science, and Deep Learning with Python. In this course, you’ll visualize and play with data, and also get to know how to handle data efficiently by building artificial neural networks with TensorFlow and Keras. This course is purely made for beginners who’re new to the data science world. 

You’ll just need to have the willingness to learn and explore. You’ll get to know about the history of data science, and what it is actually about, the roadmap one has to follow to become a data scientist, also understand the difference between noise and real data, the applications of data science, and the skills required to become one. 

Course Content

1. Getting Started
2. Statistics and Probability Refresher, and Python Practice
3. Predictive Models
4. Machine Learning with Python
5. Recommender Systems
6. More Data Mining and Machine Learning Techniques
7. Dealing with Real-World Data
8. Apache Spark: Machine Learning on Big Data
9. Experimental Design/ML in the Real World
10. Deep Learning and Neural Networks
11. Generative Models
12. Final Project

What Will You Learn

• Deep Learning
• GAN’s
• Transfer Learning
• Sentiment analysis
• Image recognition and classification
• Regression analysis
• K-Means Clustering
• Principal Component Analysis
• Train/Test and cross-validation
• Bayesian Methods
• K-Nearest Neighbor

• Price: Paid
• Duration: 15.5 hours of video
• Certificate: Yes

8. Introduction to Machine Learning for Data Science [Udemy]

Introduction to Machine Learning for Data Science is yet another best online course on data science for beginners which is a complete package for beginner to advanced-level learners. You should have a prior experience with Statistics and Maths. In this course, you’ll learn about the basics and advanced concepts of machine learning which could be used in data science project implementation. 

Course Content

1. Core Concepts
2. Impacts, Importance, and Examples
3. ML Process
4. How to apply ML for DS

Followed by which we have 7 sections of ML in Python and Jupyter for Beginners. 

What Will You Learn

• Programming
• Algorithms
• Big Data
• Artificial Intelligence
• Machine Learning

• Price: Paid
• Duration: 6 hours of video 
• Certificate: Yes

9. Data Science: Machine Learning [edX]

The next best online course is offered by edX Data Science: Machine Learning which helps you to build wonderful applications. You’ll learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system. 

You will learn about training data, and how to use a set of data to discover potentially predictive relationships. This is a self-paced course that you can learn anywhere and anytime. 

Course Content

1. R basics
2. Visualization
3. Probability
4. Inference and Modeling
5. Productivity Tools
6. Wrangling
7. Linear Regression
8. Machine Learning
9. Capstone

What Will You Learn

• The basics of machine learning
• How to perform cross-validation to avoid overtraining
• Several popular machine-learning algorithms
• How to build a recommendation system
• What is regularization and why it is useful?

• Price: FREE (Optional Upgrade Available)
• Duration: 8 weeks
• Certificate: Yes

10. Learn Data Science With R Part 1 of 10  [Udemy]

The next free and best online course for data science which beginners can definitely go for is Learn Data Science with R Part 1 of 10. You need to have a basic understanding of R before starting this course. It is completely free and made for data science roles. 

Also, if you apply for the paid course, you get the completion of the certificate and Q&A from the instructor. You’ll get an in-depth knowledge of vectors, factors, lists, matrices, and reading data from databases. 

Course Content

1. What is Data Science
2. R Installation and Data Types
3. Vectors
4. Data Science Matrices
5. Factors
6. Data Frames Part 1
7. Data Frames Part 2
8. List
9. Import Data From Files Part 1
10. Import Data From Files Part 1 and Import from Oracle

What Will You Learn

• Basics of Data Science
• Vectors
• Factors
• List
• Matrices
• Data Frames
• Read data from files
• Read data from the Oracle database using RJDBC, RODBC, and ROracle

• Price: Free
• Duration: 9 hours of video
• Certificate: Yes

Conclusion

These were the best online data science courses for beginners. These courses provide you an in-depth knowledge of data science so that you can grow in this domain and get a high-paying job. Also, you get the benefit of learning at your own pace and place. These courses make you future-ready by giving you a hands-on experience with the projects and assignments it provides. Get ready to learn from these courses and grab a high-paying job. 

FAQs

Which course is best for data science for beginners?

There are various courses available in the market which proves to be the best one. You can find Complete Machine Learning & Data Science course which is a complete master course covering all the basic to advanced level topics that could make you industry-ready.

Is 3 months enough to learn data science?

If you’re thinking to start learning data science, you can finish it in 3 months if you have the willingness to learn. Also, you must have a basic understanding of Statistics, Maths, and programming languages before you start learning data science. 

How can a beginner start data science?

If you’re a beginner thinking to learn data science, you must follow the below-given steps –

• Earn a Bachelor’s Degree
• Learn Programming Languages and skills
• Earn Certifications
• Get Internships
• Jobs in the same domain