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Best Data Science Course online with certification

The best Data Science Online Courses with Certification available online is one of the most searched and one of the most confusing things currently trending over Google, as students find it very difficult to analyse which platform to learn data science in 2024.

In this article we are going to compare top 10 best data science courses with certification to get you uplift your career in data science, we will be comparing data science online courses across multiple factors like:

  1. Course Quality
  2. Course Duration
  3. User review
  4. Cost of course
  5. Professional Certificate weightage

These factors can help you know the product better and select one to invest your money and time in a data science program to have a professional certificate in data science.

Top 10 Data Science Courses Online 2024
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Top 10 Data Science Courses with Certifications: From Beginner to Professional

Table of Contents

Best Data Science Courses with Certifications 2024

Data Science Specialization by Johns Hopkins University (JHU)

Course Highlights: You are going to learn following things in this course

  1. Use R to clean, analyse, and visualise data
  2. Navigate the entire data science pipeline from data acquisition to publication.
  3. Use GitHub to manage data science projects.
  4. Perform regression analysis, least squares and inference using regression models.

Skills you are going to master via this course:

  1. Github
  2. Machine Learning
  3. R programming
  4. Regression Analysis

Data science curriculum: 

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

Course Quality: This is one of the most trusted and enrolled courses over Coursera indicating that the course quality is one of the best. The course has been prepared in such a way that even with self pace everyone who is learning data science from the beginning can learn everything efficiently.

Course Duration: As it is a self paced course, Coursera provides different timelines according to your availability, and one of the most recommended ones is 7 months if a student studies for 10 hours a week, which in my opinion is not a tough task.

User review: Currently this course has a rating of 4.5 stars based on 38,624 reviews.

Cost of course: If you are from a weak financial background you can opt for Financial aid, and it will be available for free but this won’t include a certificate.

Or you can go for $49/month for certificate and graded materials.

Certificate weightage: Coursera certificates are one of the highly rated certificates, you can add in your LinkedIn profile, or resume, or CV, and you are good to go.

Click here to enrol!

Applied Data Science with Python Specialization by University of Michigan

Course Highlight- 

  1. Conduct an inferential statistical analysis
  2. Discern whether a data visualization is good or bad
  3. Enhance a data analysis with applied machine learning
  4. Analyze the connectivity of a social network

Skills you will gain: 

  1. Text mining
  2. Python programming
  3. Pandas
  4. Matplotlib

Course Curriculum:

  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

Course Quality: This is an intermediate level course which means either it is not beginner or you must have some related experience or knowledge before joining this course, this is a data science master’s degree program by University of Michigan mainly focusing on applied side of data science. 

Course Duration: According to Coursera this data science master’s degree program can get completed in 4 months if a student studies 10 hours a week.

User Review: Currently this course has a rating of 4.5 stars based on 25,884 reviews.

Cost of course: If you are from a weak financial background you can opt for Financial aid, and it will be available for free but this won’t include a certificate.

Or you can go for $49/month for certificate and graded materials.

Certificate weightage: Coursera certificates are one of the highly rated certificates and because of its intermediate level the weightage already increases, you can add in your LinkedIn profile, or resume, or CV, and you are good to go.

Click here to enrol!

Learn data science by doing data science- by US San Diago

Course Highlight:

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

Skills you will gain:

  1. Pandas, Git, Matplotlib
  2. Probability and statistics
  3. Machine learning
  4. Big data analytics

Course Curriculum:

  1. Python for Data Science
  2. Probability and Statistics in Data Science using Python
  3. Machine Learning Fundamentals
  4. Big Data Analytics using Spark

Course Quality: This is an advanced graduate level course, and quality is top notch with examples based on real-world, it is a perfect mix of theory and application. Although, because of its advanced level one should already know a few things like python programming as the course does not focus on such basic things.

Course Duration: 10 months, with 9-11 hours per week.

User Review: According to sources 92% of MicroMasters program students report that the program was worth the investment—both cost and time.

Cost of Course: $1,260 for certificate and graded materials

Professional Certificate weightage: Because it’s an advanced graduate level program, the weightage of their certificate is also high.

Click here to enrol!

Data Science Graduate Certificate by Harvard University

Course Highlight:

  1. Master key facets of data investigation, including data wrangling, cleaning, sampling, management, exploratory analysis, regression and classification, prediction, and data communication.
  2. Implement foundational concepts of data computation, such as data structure, algorithms, parallel computing, simulation, and analysis.
  3. Leverage your knowledge of key subject areas, such as game theory, statistical quality control, exponential smoothing, seasonally adjusted trend analysis, or data visualization.

Skills you will gain: 

  1. Machine learning
  2. Computational Techniques

Course Quality: One of the best Data Science graduate certificate programs offered by Harvard University. This data science certification course is a graduate level program so the pre-requisite required are also high, like it is advised from their end that prior knowledge in statistics and basic programming is recommended for this certificate. The Data Science Certificate will be difficult for students with no prior knowledge of Python.

So, although it is one of the best data science courses out there I don’t recommend it that much because of its prior knowledge of subjects as well as costing.

Course Duration: Course duration is not mentioned anywhere but it is an online as well as on campus program. So, I am considering a duration somewhere between 9 to 12 months.

User review: The main community of this program is working professionals, and they have rated it 4.7 star based on their experience.

Cost of course: One of the biggest downfalls of this course is its pricing which is $12,880 for 4 certifications.

Professional certificate weightage: The professional graduate certificate in Data Science requires four courses:

  1. One statistics course 
  2. Two electives
  3. One core data science course

Best Data Science certification program of 2024

IBM Data Science Professional Certificate by Coursera

Course Highlight:

  1. Master the most up-to-date practical skills and knowledge that data scientists use in their daily roles
  2. Learn the tools, languages, and libraries used by professional data scientists, including Python and SQL
  3. Import and clean data sets, analyze and visualize data, and build machine learning models and pipelines
  4. Apply your new skills to real-world projects and build a portfolio of data projects that showcase your proficiency to employers

Skills you will learn:

  1. Data Science
  2. Big Data
  3. Python Programming
  4. Github
  5. Machine Learning
  6. Deep Learning
  7. Methodology
  8. SQL
  9. Rstudio
  10. Data Mining
  11. Jupyter notebooks

Course Curriculum:

  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 Data Science with Python
  7. Data Analysis with Python
  8. Data Visualization with Python
  9. Machine Learning with Python
  10. Applied Data Science Capstone

Course Quality: This is a professional certification in data science program, it is a very detailed course where the schedule has been made very precisely so anyone from beginner to professional can go for it. One of the best courses out there to have multiple certificates and understanding of Data science and its tools with real- world application and examples.

Course Duration: This IBM Data Science professional certificate program is likely to get completed in 5 months with 10 hours per week.

User review: This course has been rated 4.6 star in 68,659 reviews on Coursera

Cost of course: For financial week graduates it is available for free via the Financial Aid program, and one can also pay $39/month.

Professional certificate weightage: The weightage of this course is high, as it is for beginner and professional grads.

Click here to enrol!

Data Science and Machine Learning Bootcamp with R by Udemy

Course Highlight:

  1. Program in R
  2. Use R for Data Analysis
  3. Create Data Visualizations
  4. Use R to handle csv,excel,SQL files or web scraping
  5. Use R to manipulate data easily
  6. Use R for Machine Learning Algorithms
  7. Use R for Data Science

Skills you will gain:

  1. Python programming
  2. R programming
  3. Linux
  4. R matrics
  5. R data frames
  6. R list

Course Curriculum:

  1. Programming with R
  2. Advanced R Features
  3. Using R Data Frames to solve complex tasks
  4. Use R to handle Excel Files
  5. Web scraping with R
  6. Connect R to SQL
  7. Use ggplot2 for data visualizations
  8. Use plotly for interactive visualizations
  9. Machine Learning with R, including:
  10. Linear Regression
  11. K Nearest Neighbors
  12. K Means Clustering
  13. Decision Trees
  14. Random Forests
  15. Data Mining Twitter
  16. Neural Nets and Deep Learning
  17. Support Vector Machines

Course Quality: This course is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science!

This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive courses for data science and machine learning on Udemy!

Course Duration: This course comprise of 35 sections, with128 lectures, that needs to be completed in 17 hour 45 minutes

User Review: This course is rated 4.7 stars with over 16,709 reviews.

Cost of course: $199.99

Certificate weightage: The weightage of the course is not that high.

Click here to enrol!

Machine Learning with TensorFlow on Google Cloud Platform by Coursera

Course highlight:

  1. Use Vertex AI AutoML and BigQuery ML to build, train, and deploy ML models
  2. Implement machine learning models using Keras and TensorFlow 2.x
  3. Implement machine learning in the enterprise best practices
  4. Describe how to perform exploratory data analysis and improve data quality

Skills you will gain:

  1. Tensorflow
  2. Machine Learning
  3. Feature Engineering
  4. Cloud Computing
  5. Vertex AI

Course Curriculum: 

  1. How Google does Machine learning
  2. Launching into Machine learning
  3. TensorFlow on Google cloud
  4. Feature Engineering
  5. Machine learning in the enterprise

Course Quality: Prior knowledge of Python programming language is good to have for this course, this is an intermediate to advanced course for both beginners and professionals. It is a comprehensive course for complete machine learning and data science, so it is a very good course.

Course Duration: The course duration is 2 months with over 10 hours a week study plan.

User Review: This data science certification course is rated 4.6 star with over 8,445 reviews.

Cost of course: Free via financial aid program, and who can pay they can go for $49/month.

Certification weightage: This data science course certification holds a good value in the market.

Click here to enrol!

Microsoft Certified: Azure Data Scientist Associate

Course Highlight:

  1. Designing and creating a suitable working environment for data science workloads.
  2. Exploring data.
  3. Training machine learning models.
  4. Implementing pipelines.
  5. Running jobs to prepare for production.
  6. Managing, deploying, and monitoring scalable machine learning solutions.

Skills you will learn:

  1. Design and prepare a machine learning solution
  2. Explore data and train models
  3. Prepare a model for deployment
  4. Deploy and retrain a model
  5. Azure Machine Learning
  6. MLflow

Course Curriculum:

  1. Explore and configure the Azure Machine Learning workspace
  2. Work with data in Azure Machine Learning
  3. Experiment with Azure Machine Learning
  4. Train models with scripts in Azure Machine Learning
  5. Optimize model training with Azure Machine Learning
  6. Deploy and consume models with Azure Machine Learning

Course Quality: This is an advanced level course with certification where students will learn how to implement learning models, analyze big data, and deploy models on Microsoft Azure. It is a very good quality and detailed course where everything is explained by keeping both beginners and professionals who want to learn data science in mind.

Course Duration: The course is both self-paced and instructor-led which is of overall 12 hours duration.

User Review: The review of this course is not mentioned anywhere but is one of the most visited courses.

Cost of course: $165

Certification weightage: This is a high value certificate for both beginners and professional candidates.

Click here to enrol!

Dataquest- Data Scientist Course

Course Highlight:

  1. Programming with Python to perform complex statistical analysis of large datasets
  2. Performing SQL queries and web-scraping to explore and extract data from databases and websites
  3. Building insightful data visualizations to tell stories
  4. Automating machine learning algorithms and build predictive modeling processes

Skills you will learn:

  1. Python programming
  2. R programming
  3. Cil
  4. Tableau
  5. SQL
  6. Excel
  7. Power BI
  8. Sparkx

Course Curriculum:

  1. Python Introduction
  2. Data Analysis and Visualization
  3. Data Cleaning
  4. The Command Line
  5. Working with Data Sources Using SQL
  6. APIs and Web Scraping in Python
  7. Probability and Statistics
  8. Machine Learning In Python 
  9. Deep Learning in Python
  10. Advanced Topics in Data Science

Course Quality: One of the best resources where students will learn data science via interactive textbook of sorts. Each and every part of this course is composed in an interactive coding way where you will be learning and practicing the topic you are currently learning.

Overall an outstanding resource for those who want to learn data science from beginner to advanced in an interactive method.

Course Duration: This data science course can be completed in 9 months with 5 hours per week studying.

User Review: The platform claims to have 95% positive response from their user.

Cost of course: $29/month for Basic, $49/month for Premium

Certification weightage: I didn’t find any relevant data till now regarding its certification.

Click here to enrol!

Statistics and Data Science MicroMasters by MIT

Course Highlight:

  1. Master the foundations of data science, statistics, and machine learning
  2. Analyze big data and make data-driven predictions through probabilistic modeling and statistical inference; identify and deploy appropriate modeling and methodologies in order to extract meaningful information for decision making
  3. Develop and build machine learning algorithms to extract meaningful information from seemingly unstructured data; learn popular unsupervised learning methods, including clustering methodologies and supervised methods such as deep neural networks
  4. Finishing this MicroMasters program will prepare you for job titles such as: Data Scientist, Data Analyst, Business Intelligence Analyst, Systems Analyst, Data Engineer

Skills you will gain:

  1. Probability
  2. Machine learning
  3. Capstone
  4. Python programming
  5. Deep learning
  6. Data Analysis

Course Curriculum:

  1. Probability – The Science of Uncertainty and Data
  2. Fundamentals of Statistics
  3. Machine Learning with Python: from Linear Models to Deep Learning
  4. Capstone Exam in Statistics and Data Science
  5. Data Analysis in Social Science—Assessing Your Knowledge
  6. Data Analysis: Statistical Modeling and Computation in Applications

Course Highlight: So far this is the most lengthy course for learning Data science where each part of the course needs to be completed in 3-16 weeks as it is a college master program for data science. The course is very detailed and looks over every little aspect of the information to help beginners to understand the complete data science from the basics.

Course Duration: 72 weeks

User review: No review is available but by recognizing the image of MIT, it can be easily considered in the top 10 best data science courses available.

Cost of course: $1,350 for certificate and graded materials

Certification weightage: It holds a very good weightage when compared to other courses mentioned in this list.

Click here to enrol!

Top 10 data science online course comparison

Best data science online course comparison

What is Data Science?

Why Data Science?

What does a Data Scientist do?

Programming languages needed for Data Science

Why become a Data Scientist?

How to become a Data Scientist?

FAQ on Top 10 Data Science Online Course

Answer: The duration varies depending on the course provider and the level of depth covered. Generally, data science courses can range from a few weeks to several months.

Answer: Prerequisites may include a basic understanding of programming languages like Python or R, familiarity with statistics and mathematics, and a strong analytical mindset.

Answer: The curriculum typically covers a wide range of topics, including data manipulation, data visualization, machine learning, deep learning, statistical analysis, and real-world case studies.

Answer: Most data science courses require students to have access to certain software or tools such as Python or R programming environments, Jupyter notebooks, and libraries like NumPy, pandas, and scikit-learn.

Answer: Depending on the course provider, data science courses may be offered in both self-paced and instructor-led formats. Some courses also offer a combination of both.

Answer: Prerequisites can vary depending on the course provider and the level of the course. However, a basic understanding of programming, mathematics, and statistics is often recommended.

Answer: Course providers typically offer various forms of support, including access to instructors, discussion forums, online communities, and technical support for any software-related issues.

Answer: Many data science courses include assessments, quizzes, and hands-on projects to help reinforce learning and demonstrate practical skills. Some courses may also offer certification upon successful completion of assessments.

Answer: Some course providers offer financial aid or scholarships for eligible students. It’s recommended to check with the course provider or platform for specific details regarding financial assistance options.

Answer: Data science courses open doors to a wide range of career opportunities in fields such as data analysis, machine learning, artificial intelligence, data engineering, and business analytics. Graduates can pursue roles such as data scientist, data analyst, machine learning engineer, and more.