Coursera data science certifications add value to your resume because they’re taught by industry experts (such as IBM) or top data science universities across the globe. Not just courses, Coursera has specializations (comprising different courses under one package), online degrees, and industry certifications for those who want to upgrade their knowledge or inculcate industry-relevant data science skills.
Coursera data science courses are free to audit meaning you can enroll for free and watch their lectures, but you need to pay a certain amount (varies for different courses) for certifications, assignments, and study material. Coursera recently announced that students will a valid college email address can access some of its’ certifications for free.
The article lists the 10 best data science courses on Coursera as per reviews, quality of course modules, and industry relevance. You can find plenty of data science courses on Coursera that focus on various topics such as Python, SQL, Statistics, Data Engineering, Business Intelligence, databases, Biostatistics, Apache Spark, R Programming, etc.
| Best Data Science and Machine Learning Courses on Coursera | Best Python for Data Science Courses on Coursera | Best SQL for Data Science Courses on Coursera |
10 Best Data Science Courses on Coursera
| Courses | Duration | Rating |
|---|---|---|
| IBM Data Science Professional Certificate | 11 months (3 hours/week) | 4.6 |
| Data Science Specialization | 11 months (7 hours/week) | 4.5 |
| Google Data Analytics Professional Certificate | 6 months (10 hours/week) | 4.8 |
| Introduction to Data Science Specialization | 4 months (3 hours/week) | 4.7 |
| Applied Data Science with Python Specialization | 5 months (7 hours/week) | 4.5 |
| Data Science Fundamentals with Python and SQL Specialization | 6 months (3 hours/week) | 4.6 |
| Data Science: Foundations using R Specialization | 5 months (8 hours/week) | 4.6 |
| Practical Data Science Specialization | 3 months (5 hours/week) | 4.6 |
| Executive Data Science Specialization | 2 months (6 hours/week) | 4.5 |
| Data Science: Statistics and Machine Learning Specialization | 6 months (6 hours/week) | 4.6 |
Table of Contents
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IBM Data Science Professional Certificate
IBM Data Science Professional Certificate is a specialization course offered by IBM through the Coursera platform. It is instructed by Rav Ahuja and 12 others IBM professionals. IBM data science professional certificate has a total of 10 courses dealing with data science tools and libraries, python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling along with machine learning algorithms. IBM data science professional certificate can be availed for a monthly subscription of INR 2,906.
- Course Rating: 4.6
- Duration: 11 months (3 hours/week)
- Fees: INR 2,906 per month
Learning Outcome
| Methodologies in Data Science | Basics of Data Science Tools, Languages, and Libraries |
| Day-to-day Activities of Data Scientists | Building Machine Learning Models Using Python |
| Analyzing & Visualizing Datasets | Applying Data Science Skills to Build Data Science Projects |
| Basic Deep Learning, Machine Learning, Big Data, Data Mining, & Github | Gain a Professional Certificate from IBM |
Explore Udemy Courses:
Data Science Specialization
Data Science Specialization is one of the top Coursera data science courses offered by John Hopkins University through the Coursera platform. It has a total of 10 modules that cover various concepts and tools that are needed throughout the entire data science pipeline, ranging from posing the right kinds of questions to making inferences and publishing results.
- Course Rating: 4.5
- Duration: 11 months (7 hours/week)
- Fees: INR 2,906 per month
Learning Outcome
| R for Cleaning, Analyzing, and Visualizing Data | How to Navigate Entire Data Science Pipeline |
| Use of GitHub in Managing Data Science Projects | Regression Analysis, Least-Squares, and Inference Using Regression Models |
| R Programming, Data Science, Rstudio, Data Analysis, Debugging | -- |
Google Data Analytics Professional Certificate
Google Data Analytics Professional Certificate is offered by Google through the Coursera platform. It is one of the top Coursera data science courses. It is instructed by Google career certificates. It has a total of over 180 hours of instruction along with hundreds of practice-based assessment projects, which will help in simulating real-world data analytics scenarios. The course consists of a total of 8 courses with highly interactive and exclusive content.
- Course Rating: 4.8
- Duration: 6 months (10 hours/week)
- Fees: INR 1,043 per month
Learning Outcome
| Practices Used by Data Analysts | Learn Data Cleaning, Analysis, & Data Visualization |
| Data Science Tools & Platforms | Learn Data Cleaning & Organizing Data for Analysis and Calculations |
| How to Use Spreadsheets, SQL, and R Programming | Present Data Findings on Dashboards and Commonly Used Visualization Platforms |
Introduction to Data Science Specialization
Introduction to Data Science Specialization is a course by IBM in Coursera taught by Rav Ahuja, Global Program Director, IBM Skills Network, and 6 others. This course has a total of 4 Courses and deals with what data science is their works, and the applicability of data science across fields, and learns about how data analysis can help in making data-driven decisions.
- Course Rating: 4.7
- Duration: 4 months (3 hours/week)
- Fees: INR 2,906 per month
Learning Outcome
| Introduction to Data Science & Machine Learning | Applications & Uses of Data Science and Machine Learning |
| Data Science Tools: JupyterLab, R Studio, GitHub, and Watson Studio | Day-to-day Activities of Data Scientist |
| How to Solve Different Data Science Problems? | How to Write SQL Statements and Query Cloud Databases Using Python |
| Basics of Data Science, Relational Database Management System (RDBMS), Cloud Databases | -- |
Applied Data Science with Python Specialization
Applied Data Science with Python Specialization is offered by the University of Michigan in Coursera taught by Christopher Brooks, Assistant Professor, School of Information, and 3 others from the same institute. There are a total of 5 Courses in this Specialization course that introduce learners to data science through the python programming language. The 4th and 5th courses can be pursued only after completion of the first 3 Courses.
- Course Rating: 4.5
- Duration: 5 months (7 hours/week)
- Fees: INR 2,906 per month
Learning Outcome
| Learn to conduct an inferential statistical analysis. | Learn to discern whether a data visualization is good or bad. |
| Learn to enhance data analysis with applied machine learning. | Learn to analyze the connectivity of a social network. |
| Gain various skills such as Text Mining, Python Programming, Pandas, matplotlib, and various others. | Gain a certificate after completing the course. |
Also, Check!
Data Science Fundamentals with Python and SQL Specialization
Data Science Fundamentals with Python and SQL Specialization is a course offered by IBM in Coursera which is taught by Aije Egwaikhide, Senior Data Scientist, IBM along with 7 other IBM professionals. The course has a total of 5 courses dealing with foundational skills which are required in Data Science, including open-source tools and libraries, Python, Statistical Analysis, SQL, and relational databases.
- Course Rating: 4.6
- Duration: 6 months (at 3 hours/week)
- Fees: INR 2,906 per month
Learning Outcome
| Learn about the ways Data Science Tools such as Jupyter Notebooks, R Studio, GitHub, and Watson Studio work. | Learn python programming basics such as data structures, logic |
| Learn to work with files, invoking APIs, and libraries such as Pandas and NumPy. | Understanding various Statistical Analysis techniques. |
| Learn about Descriptive Statistics, Data Visualization, Probability Distribution, Hypothesis Testing, and Regression. | Learn Relational Database fundamentals including SQL query language, Select statements, sorting & filtering, database functions, and accessing multiple tables. |
| Building a dashboard with Python, and analyzing socio-economic data with SQL. | Performing regression analysis with housing data. |
| Develop skills such as Data Science, Github, Python Programming, Jupyter notebooks, Rstudio, and others. | Gain a Certificate of completion which is shareable. |
Data Science: Foundations using R Specialization
Data Science: Foundations using R Specialization course offered by John Hopkins University and is instructed by Brian Caffo, Professors, Biostatistics, Bloomberg School of Public Health, and 2 others from the same department. The course has a total of 5 Courses covering foundational data science tools which include getting, cleaning, exploring data, programming with R, etc. After completing this course, one can pursue Data Science: Statistics and Machine Learning Specialization which is the continuation of this course.
- Course Rating: 4.5
- Duration: 5 months (8 hours/week)
- Fees: INR 2,906 per month
Learning Outcome
| Learn the use of R to clean, analyze, and visualize data. | Learn ways of asking the right questions, obtaining data, and performing reproducible research. |
| Learn to use GitHub for managing data science projects. | Learn about data science tools like R, R-Studio, and Github and how to set them up. |
| Gain skills such as Data Science, Machine Learning, Github, R Programming, Exploratory Data Analysis, Rstudio, and others. | Gain a shareable certificate of completion that can be shared with employers and professional networks. |
Practical Data Science Specialization
Practical Data Science Specialization is offered by Deeplearning.ai Amazon Web Services in Coursera which is taught by Antje Barth, Senior Developer Advocate, AI, and Machine Learning, Amazon Web Services (AWS), and 3 AWS Professionals. The Course is an advanced level course that requires Working knowledge of ML & Python, familiarity with Jupyter notebook & stat, and completion of the Deep Learning & AWS Cloud Technical Essentials. The course brings together various disciplines of Data Science using purpose-built ML tools in the AWS cloud.
- Course Rating: 4.6
- Duration: 3 months (6 hours/week)
- Fees: INR 2,906 per month
Learning Outcome
| Learn ways of preparing data, detecting statistical data biases | Learn about performing feature engineering at scale to train models, & train, evaluate, & tuning models with AutoML. |
| Learn about Storing & managing ML features using a feature store | Understanding debug, profile, tune, & evaluate models while tracking data lineage and model artifacts. |
| Learn about building, deploying, monitoring, & operationalizing end-to-end machine learning pipelines. | Learn to build data labeling and human-in-the-loop pipelines. |
| Learn to reduce costs while improving the performance of data products. | Develop in-demand skills such as Natural Language Processing with BERT, ML Pipelines and ML Operations (MLOps), A/B Testing and Model Deployment, and others. |
| Gain a shareable certificate after the completion of the course. | - |
Executive Data Science Specialization
Executive Data Science Specialization is a course in Coursera offered by John Hopkins University Brian Caffo, Professors, Biostatistics, Bloomberg School of Public Health, and 2 others from the same Institution. The Course Specialization has 5 Courses in total viz. A Crash Course in Data Science, Building a Data Science Team, Managing Data Analysis, Data Science in Real Life, and Executive Data Science Capstone.
- Course Rating: 4.5
- Duration: 2 months (6 hours/week)
- Fees: INR 2,906 per month
Learning Outcome
| Learn to become conversant in the field and understand your role as a leader. | Learn about recruiting, assembling, evaluating, and developing a team with complementary skill sets and roles. |
| Learn to navigate the structure of the data science pipeline by understanding the goals of each stage and keeping your team on target throughout. | Learn the ways of overcoming the common challenges that frequently derail data science projects. |
| Gain in-demand skills such as Data Science, Data Management, Data Analysis, Communication, Leadership, and others. | Earn a certificate of completion which is shareable. |
Data Science: Statistics and Machine Learning Specialization
Data Science: Statistics and Machine Learning Specialization is a course offered by John Hopkins University and is instructed by Brian Caffo, Professors, Biostatistics, Bloomberg School of Public Health, and 2 others from the same Institution. This course is a continuation of the course, Data Science: Foundations using R specialization and covers statistical inference, regression models, machine learning, and the development of data products in a total of 5 Courses.
- Course Rating: 4.7
- Duration: 6 months (6 hours/week)
- Fees: INR 2,906 per month
Learning Outcome
| Learn to perform regression analysis and least squares. | Learn about inference using regression models. |
| Learn to build and apply prediction functions. | Learn to develop public data products. |
| Learn how to draw conclusions or find scientific truths from data. | Learn skills such as Machine Learning, Github, R Programming, Regression Analysis, Data Visualization (DataViz), and various others. |
| Gain a Certificate that can be shared with employers and professional networks. | - |
10 Best Data Science Courses on Coursera: FAQs
Ques. Can you learn data science on Coursera?
Ans. Yes, you can learn Data Science on Coursera. They provide various top-rated Courses in the field of data science incorporating various aspects and knowledge required in the field.
Ques. Can we learn data science in 3 months?
Ans. It depends on the level of course and the pace you are going. There are various courses with a duration of less than or equal to 3 months. Moreover, as the Courses are self-paced and flexible, the time of completion depends on the learner.
Ques. What's the best Data Science course on Coursera?
Ans. There are various Data Science Courses on Coursera that teach the skills and crucial knowledge that one must have in the field of Data Science. Given are a few top-rated Courses on Coursera: IBM Data Science Professional Certificate, Data Science Specialization, Google Data Analytics Professional Certificate, Introduction to Data Science Specialization, Data Science Fundamentals with Python and SQL Specialization
Ques. Is the Coursera Data Science certificate worth it?
Ans. Every course is useful in one way or another. There are good reviews for the courses. The courses are flexible and can be taken anytime anywhere according to the user. Apart from these, the courses are available for a low fee or for free without Certification and are worth the money. However, the benefits of the course can only be reaped if you are motivated and serious about learning it.
Ques. Is a Coursera Data Science course effective in getting a job in India?
Ans. Getting a job in the field depends on your skills and knowledge crucial in the expertise. Certificate-wise speaking, they do not carry much weight. It is proof of your knowledge of the skills you have and supplements your professional career. However, the most important thing is your mastery of the skills. This can be learned from various courses providing various skills and how much knowledge you can take out from the course.
Ques. For learning data science, is Datacamp better than Coursera's data science specialization?
Ans. Data Camps provides best practices for hands-on learning while Coursera provides better theoretical knowledge. Moreover, Data Camps provide interactive learning and so the practices are more generalized. These courses are not very suitable for Beginners with little or no knowledge while in Coursera, one can find courses suitable for different levels of learners. In such a case one can go through the course list for Beginners and pursue the one which suits and interests them most.
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