33 Best & Free Data Science Courses & Certification in India [2023]

Students with so many Data Science courses find it extremely difficult to meet their needs. Learners often ask if there is a data science course for each case. The response is YES. Below are popular courses available. Registering for the right course is an important factor in your career progression. In this article, the best Data Science courses were selected by experts in 2023.

The main aim is to illustrate the best known courses in every category.

Select one that best suits your needs, based on your preference.

However, let’s look at the best Data Science courses on the market.

1. MIT Data Science and Statistics Certificate (edX)

Duration: 5 courses, 2 to 16 weeks per course

Rating : 4.6 out of 5

This 5-course series helps you enhance your data science, statistics and machine learning foundation. You learn how to analyze large data and how to use statistical inference and probabilistic models to produce meaningful decision-making data. Path will continue with the very basics of probability and statistics before moving to data analytics and machine learning algorithms. To make the most of this certification it is advisable to have calculus at college level, mathematical reasoning and Python programming expertise. After completing this certification, you can apply to a number of jobs, such as a data scientist, a data analyst and a system analyst for a few.

Key Highlights:

• Teachers provide guidance and advice on best practices with the tools to build and incorporate algorithms.
• Enhance your skills, statistics and machine learning foundations during the course collection.
• Build machine learning algorithms to understand the unstructured data and to obtain relevant information.
• Learn to analyze large data and make predictions based on data by statistical inference and modelling in order to extract meaningful information for decision-making.
• After obtaining this qualification, different job titles may be hired, such as data scientist, data analyst and system analyst to name a few.
• Work on popular unattended methods of learning such as clustering methods and supervised methods such as deep neural networks.

You can Sign up Here 

2. IBM Data Science Certification (Coursera)

Duration: 3 to 5 weeks per course, 2 to 7 hours per week

Rating: 4.6 out of 5

This is one of the best courses in data science you can find online if you have decided to pursue a career in data science or machine education. This certification consists of a series of nine courses that help you in getting the skills needed to work on projects in the industry. The lessons cover a variety of subjects including visualization of data, analysis, libraries and open source tools. You will have several tasks and projects at the end of the program to showcase your skills and improve your resume. You may want to look into these Best Machine Learning Courses if you want to improve your machine’s learning skills.

Key Highlights:

• The lecturer helps you with examples to work on the basic techniques.
• Excellently-designed content and subjects are dealt with in detail.
• Classes include strategies and suggestions, assessments and projects.
• Plenty of opportunities to use real-time tools and real-world datasets to implement the skills of the lessons.
• There is no need for prior programming or computer science because all topics are covered from scratch.

You can Sign up Here

3. Applied Data Science with Python Certification (University of Michigan)

Duration: 5 months, 7 hours per week

Rating : 4.5 out of 5

This is a 5-course program by the University of Michigan to help you understand data science in the language of python programming. You will need basic Python knowledge and will be taught about common python tools like pandas, matplotlib, nltk and networkx to make sense of the results, among others. The five courses cover, in particular, Applied Plotting, Charting and Data Representation in Python, Applied Machine Learning in Python, Advanced Text Mining in Python and Social Network Analysis. Christopher Brooks, Kevyn Collins-Thompson, Daniel Romero and G. Vinod Vydiswaran will teach you. They will teach you. This is the ideal place to move closer towards becoming a data scientist with numerous tasks, assessments and projects.

Key Highlights:

• Introducing the fundamentals of visualization of information with an emphasis on reporting and drawing with the matplotlib library.
• Go through the basics of the Python programming environment including fundamental programming techniques, such as lambda, CSV files and the NumPy library reading and manipulation.
• Get the chance to do a social network study on this last specialization program that will give you an idea of how issues are done in real-life problems.
• Learn when to use Python to start learning machines.
• Learn to work on the basics of text mining and manipulation. Just an understanding of how Python treats the text structure.

You can Sign up Here

4. Data Science Certification from Harvard University (edX)

Duration: 9 courses, 2 to 8 weeks per course, 2-4 hours per week

Rating: 4.8 out of 5

This Harvard Data Science Certification program teaches you basic data science, like R&D, utilizing real world case studies to launch your career in data science. This immersive program is spread over nine courses and is among the best online master programs available on the leading e-learning platform edX. The courses included R Basics, Visualisation, Probability, Inference and Modeling, Productivity Tools, Wrangling, Linear Regression, Machine Learning, and a Capstone project, where you can test and test everything you learned. You will at the same time learn the language of R programming, statistical concepts and data analysis techniques.  

Key Highlights:

• Gain experience with the tidyverse, including ggplot2 data visualization and dplyr data wrangling.
• Discuss the basic programming skills of R.
• Explore and incorporate in action statistical principles such as probability, inference and modeling.
• Implementing real-life case studies machine acquisition algorithms and a thorough knowledge of this field.
• Get acquainted with the main data scientist tools such as Unix / Linux, Git and GitHub and RStudio.

You can Sign up Here

5. Machine Learning Certification by Stanford University (Coursera)

Duration: 55 hours

Rating: 4.9 out of 5

This course was created by Andrew Ng, former head of Google Brain and Baidu AI Group, along with other lecturers at Stanford University. It is one of the most popular courses and certifications for online machine learning. The course covers several case studies and applications, to help you learn how to implement algorithms for the building of smart robots. Supervised learning, unattended learning among other key areas. This is one of the best courses in data science you can choose.

Key Highlights:

• Understanding parametric and non-parametric algorithms, clustering, and the reduction of dimensionality.
• Manage vast volumes of data in various fields and formats.
• In a group of like-minded students with all levels of experience, connect with your colleagues.
• Real-world case studies give you the chance to learn how daily issues are overcome.
• Gain the instructor ‘s best practices and guidance.
• Learn to use learning algorithms to build smart robots, understand text, audio, mining database.
• You will learn at your convenience through a flexible deadline.

You can Sign up Here

6. Deep Learning Certification (deeplearning.ai)

Rating : 4.9 out of 5

Know how to develop neural networks and lead successful machine learning projects at deeplearning.ai in this 5 course. You are trained Python, Tensor Flow, RNN, LSTM, Adam, Convolutional Neural Networks and Xavier, among other things. The curriculum will be led by Andrew Ng, the co-founder of Coursera & Associate Professor, University of Stanford; Younes Bensouda Mourri, Mathematical & Computational Science, University of Stanford and Kian Katanforoosh, Deeplearning.ai, Centrale Paris Campus. This is one of the most popular online deep learning programs.

You can Sign up Here

7. Data Science Master’s Degrees Online (Coursera)

Duration: Self-paced

Rating: 4.7 out of 5

If you are not interested in different courses in data science and want to pursue a master’s degree, then this Master’s Degree list from Coursera is the perfect option for you. There are many Data Science degree programs available, all offered by leading universities worldwide including the University of Michigan, Urbana-Champaign University of Illinois, Colorado Boulder University etc. You will be able to become a certified data scientist by completing each of these Master’s programs. In addition, you can get a job in different fields, such as agriculture, manufacturing, finance, technology and transportation.

Key Highlights:

• Develop opportunities to become a data science professional and enter fields such as analysis, computer science, machine learning and artificial intelligence.
• Learn from applied data science skills programs developed by world-class university faculty.
• Freedom to learn from your comfort zone, live online courses and self-sustaining learning.
• Learn when to use big data in order to understand the environment, discover new perspectives and automate decision-making.
• Learn how to obtain insights from large data sets, while learning cutting-edge faculties tools and methods.

You can Sign up Here

8. Data Science MicroMasters Certification by UC SanDiego (edX)

Duration: 4 courses, 10-15 weeks per course

Rating: 4.6 out of 5

It is basically an online version of a Data Science Masters program by UC San Diego, in which university professors and trainers exchange information online. Spread over many months, this is perfect for students and professionals searching for an interactive learning experience that is deeply interested in data science principles. You must gain a detailed understanding of mathematical and computer tools and how to make decisions based on results. The courses included Python for data science, probability and statistics, basic machine teaching and big data analysis with Spark. A team of five instructors will take the classes from UC San Diego.

Key Highlights:

• Visualize complex data using lecture tools and languages.
• Learn how to collect, clean and interpret large-scale data and to analyze the data in a convincing and visual manner.
• Make reliable statistical conclusions from noisy data, and use machine learning to learn data models.
• Work on practical assignments and duties to enhance your portfolio and implement video topics.
• Utilize Apache Spark to analyze data which does not fit in a single computer’s memory.

You can Sign up Here

9. Professional Certificate in Applied Data Science (Dartmouth College)

Duration: 6 months

Rating: 4.7 out of 5

If you are prepared to receive a Data Science professional certificate by studying all of the basic principles and skills, then this Thayer School of Engineering certification program is your best alternative. Through this course, students will be able to develop high-demand necessary skills in order to get a job, such as data visualization, machine learning, risk management, and predictive capabilities. It will help you understand the coding fundamentals of Python through live coding exercises and application-based challenges. Once the course is successfully completed, people will be able to leverage great possibilities and face new challenges in the world of data science.

Key Highlights:

• Have one-on-one career coaching from a specialist lecturer that will not only assist you during the course and also will offer additional career counselling.
• Access daily live webinars, comprehensive, graded assignments and applying skills in the real world
• Learn how to create visualisations, build linear and logistic regression models and use standard learning algorithms for machines
• Work with various projects and at the end of the course build a data science portfolio which can be shared with employers to highlight your skills
• Get help from mentors in small group sessions to navigate challenges specific to the data science careers

You can Sign up Here

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

Duration: 2-3 weeks

Rating : 4.6 out of 5

This is a comprehensive course that will allow you to learn how to leverage Python ‘s power to analyze data and create beautiful views with powerful algorithms. So, if you planned to become a data scientist, then this is the first course. This course was created by Jose Portilla, who graduated in mechanical engineering from the University of Santa Clara. He has many years of experience in providing data scientist coaching to students worldwide. After this course, you can develop strength over advanced machine learning and Python programming concepts.

Key Highlights:

• Direct you to any basic machine-learning principle and how to use it for better outputs with python programming
• Cover a broad range of topics including Python, NumPy and Python programming, Python relation with SQL, Decision Trees and more
• Free practice from the comfort of your home with a 30 days free course assessment
• Learn how machine algorithms are implemented and how Pandas is used for data analysis.
• Available in comparison with other data science courses at an affordable price
• Solve your course questions and problems with the help of your instructors’ assistance

You can Sign up here

11. The Data Science Course 2020: Complete Data Science Bootcamp (Udemy)

Duration: 25 hours

Rating: 4.5 out of 5

If you want to start a new career in this fast-growing sector, this top seller is worth a look. All the subjects necessary to be a good data scientist are addressed so that they can be followed easily. Each topic builds on the previous one and discusses the ins and outs of each area and allows you to gain a better understanding of the mood words within the field of data science. So that you can start at scratch and at the end of the boot camp, handle real-life challenges and go for further skills.

Key Highlights:

• Understand behind machine learning mathematics.
• Solve business cases in real life that will get the job for you.
• The entire toolkit is given for gaining an understanding of this field.
• Introducing data and data science, mathematics, statistics, Python, Tableau, advanced statistics and machine learning are all topics covered.
• Start Python coding and learn how it can be used to analyze statistics.
• Request and answer support and accessible group.
• 434 readings + 80 articles + 129 Resources to be downloaded + Full live access

You can Sign up Here

12. Data Science Course A-Z™: Real-Life Data Science (Udemy)

Duration: 2-3 weeks

Rating : 4.5 out of 5

This course from Udemy is the best option for those looking for data science courses with real-life examples. This course does not take you through the core principles of data science like other standard courses in data science. This not only gives you a full description of the data science process but also gives you a personal understanding of the discomfort felt every day by the data scientist. After this course, you can clean and prepare your data for analysis, model your data, basic data visualization, and much more.

Key Highlights:

• Begins with four-planned routes that will help you to navigate the course and combine your own travel sections.
• One of the best data science courses that guide you across the entire data science journey from basics to advanced concepts.
• Gain a thorough understanding of several tools such as SQL, SSIS, Tableau, Gretl.
• Study from your comfort area with a 30-day free course content trial.
• Including real-life practical exercises, video conferences and questions to help you prepare for the course better.

You can Sign up Here

13. Machine Learning Course A-Z™: Hands-On Python & R In Data Science

Duration: 1 month

Rating : 4.5 out of 5

This is another excellent Udemy course focused on Python and R programming languages machine learning. What is nice is that this course is comprised of a number of tutorials, each of which is structured step by step to help you learn and gain new skills and deepen your understanding of the field of data science. This course has been designed by various academic data scientists who want to share their information and skills people to learn the simplest complex theories, algorithms and coding libraries. In addition, this course offers a 30-day free trial to examine the content of the course and analyze what you will learn.

Key Highlights:

• Comes with real-life exercises to help you improve your knowledge and experience in data science.
• An exciting and fun course which takes you on a journey through learning machines, data mining and data science concepts.
• Topics such as data processing, linear regression, clustering, deep learning, and many more.
• Provides a completion certificate at the end of the course with projects.
• Both R and Python templates are included which you can easily download and use with your projects.

You can Sign up Here

14. Coursera Data Science Courses (Coursera)

Duration: Self-paced

Rating: 4.5 out of 5

At Coursera you will graduate in data science and related fields from the comfort of your home offered by some of the best universities. In addition, if you search for fairly short courses, you can choose from options such as Data Science using R, a data scientist toolbox, business analytics, Excel analysis and Python data structures. You will not only trust the concepts covered at the end of your courses, you will also have the ability to apply for relevant job profiles.

Key Highlights:

• Lots of examples showing the real-life applications in this area.
• Bachelor’s and master’s degrees, courses and specializations are offered at Coursera.
• Explore various programming techniques to deal with large volumes of data.
• Meet all graded assignments and qualification tests.
• Study with the flexible schedule everywhere and whenever at your own pace.
• Reach the instructors and answer your questions.

You can Sign up Here

15. Data Science Certification from John Hopkins (Coursera)

Duration: 8 months, 5 hours per week

Rating: 4.5 out of 5

This John Hopkins certification course will help you to begin your career in data science. It consists of a 9-course data science introduction which leading professors such as Roger D. Peng, PhD Associate Professor, Biostatistics; Brian Caffo, Ph.D. and Jeff Leek, PhD Associate Professor, Biostatistics, develop. In this software, you can find information about R programming, acquiring and cleaning data, exploratory data analysis, reproducible study and statistical information in a variety of other fields. The course will be followed by a Capstone project, in which you create a data product using real-world data.

Key Highlights:

• Use R for data cleaning, interpretation and visualization.
• Someone with beginner-level knowledge with Python and regression can take the certification.
• Perform an analysis of regression, least squares, and inferences using regression models.
• Navigate from data acquisition to publication throughout the entire data science pipeline and manage projects with GitHub.

You can Sign up Here

16. Data Science Nanodegree Courses (Udacity)

Duration: Self-paced

Rating: 4.7 out of 5

Individuals who wish to specialize in data science concepts such as data management, predictive analysis, machine learning and visualization can use this Udacity data science programme. This is a specialized data science course consisting of multiple Nano Data Science courses and various courses focused on specific topics. You can become a Data Analyst, Data Engineer, Data Scientist or select any other field from a single domain with this program. There are also several free data-science courses such as Database Systems Concepts, Intro to Data Science, SQL for Data Analysis and many others.

Key Highlights:

• Learn various Data Analyst concepts such as Data Wrangling, Pandas & NumPy, Matplotlib, bootstrapping, etc.
• Learn from the top Udacity teachers who focus on helping people understand each definition with a deep knowledge
• Control your own rate of course content with no schedules and quick monthly installments
• Learn the numerous programming languages such as Python, NumPy, SQL, Git & Git Hub
• After completing these nanograduate programs and specific courses, become a pro in data science
• Learn from the real projects designed by professionals and experts.

You can Sign up Here

17. Free Data Science Courses Online (edX)

Duration: Self-paced

Rating: 4.5 out of 5

If you have prior knowledge in computer science or statistics and want to use it to shift your career to the rapidly growing field of data science, then this platform offers a wide range of options for data science. Created by the world’s leading industrial and academic institutions, you can concentrate or start from scratch on a specific problem, and experience a full learning experience. Learn about probability, statistics and analysis and how to use languages such as Python and R.

Key Highlights:

• Learn to obtain data from multiple sources and place it in the format you want.
• Choose your courses, degrees and professional certificates.
• Get acquainted with and use numerous analytical tools to work on tasks.
• Audit free lectures and get a verified certificate at an additional fee.
• Construct, evaluate and compare models to predict and draw insights into future trends.

You can Sign up Here

18. Data Science Online (Berkeley ExecEd)

Duration: 10 weeks, 4-5 hours/week

Rating: 4.6 out of 5

This Berkeley Executive Education Program is an 8-module program spread over 10 weeks to support you in all essential data science topics. This program is specially designed for mid-level senior managers and individual contributors, who want the data analysis method to take their organization to the next level. During your course, you will learn about basic mathematical and statistical concepts like mean, standard deviation, charts, histograms, and logarithmic functions, and then move on to state-of-the-art concepts like machine prediction training, advanced regression models, the construction of effective data science teams, etc. You will also work continuously with your instructor to submit and resolve your questions and any other course-related help.

Key Highlights:

• Live weekly pre-access to introduce any new aspects for the next module with live job reviews.
• Communicate directly with faculty, industry and peers from all over the world at UC Berkeley Executive Education.
• Begin to analyze data sets using an open-source platform for computer analysis, Jupyter Notebook.
• Work in 2 week long laboratories focusing on hands-on tasks and deeper data analysis.
• Get an interview from leading companies, such as Google, Uber and much more with industry experts driven by data.

You can Sign up Here

19. Statistics with R Certification from Duke University

Rating: 4.7 out of 5

Be prepared to be amazed by Duke’s distinguished professors including Mine Cetinkaya Rundel, David Banks, Colin Rundel and Merlise A Clyde in this course, where you will learn everything about Bayesian statistics, Linear Regression and modeling, Inferential and Data stats. This is a specialty of the beginner level and you do not need prior experience to apply for it.

You can Sign up Here

20. Data Science Crash Course (Udemy)

Duration: Self-paced

Rating: 4.5 out of 5

This e-learning website, with over 250 courses, ensures that there is something for everyone regardless of their level of experience, to expand their skills in this complex industry. Beginners can choose between boot camps, techniques and programming languages that are suitable for analyzing datasets. People with previous experience can look for programs which can find out how ML, Deep Learning and other real-life issues are integrated into data science.

Key Highlights:

• Services for hands-on training and preparation for interviews.
• There is little or no experience required to register in classes for beginners.
• Get access to data scientists’ tools.
• Readings + Lessons + Tools Downloadable + Full lifetime exposure.
• Explore pandas, numpy, analyze statistics, and present extracted data like a story, in order for technical as well as non-technical bodies to understand it.

You can Sign up Here

21. Mathematics for Machine Learning (Coursera)

Duration: 4 to 6 weeks of study, 2 to 5 hours per week

Rating: 4.6 out of 5

This course seeks to tackle the void and helps you create a strong foundation in the underlying mathematics, their practical understanding and their use in machine learning and data science. Begin with Linear Algebra and Calculus until you move on to more complex concepts. At the end of the courses, you should have a good mathematical foundation to learn more in ML and become a practitioner.

You can Sign up Here 

22. Data Science, Deep Learning, & Machine Learning with Python

Duration: 2-3 weeks

Rating: 4.5 out of 5

If you’d like to learn how to derive insights and perspectives from the massive data sets, this course can give you all the basic knowledge you need. In this course, you will learn techniques used by real data scientists and tech industry machine learning practitioners. It is included with over 100 seminars, with most of the topics covered with hands-on samples of Python code. The course’s teachers have experience in providing Python programming with data science training. During the course, they will even assist you and provide solutions relating to your queries.

Key Highlights:

• Understanding how to classify images, data and feelings using deep learning.
• Learn how to build artificial neural networks with TensorFlow and Keras, and how to make linear regression and polynomial regression predictions.
• Address core data science subjects, such as data visualization, learning transfer, sentiment analysis, multi-level models and much more.
• Learn how to organize clustering data with K-means, support vector machines, KNN, decision trees and PCA.
• Receive a Certificate of Completion upon completion of the course with the assignments provided.
• Build a film recommender system with collaborative element-based and user-based filtering after completion of the course

You can Sign up Here

23. Data Science: Deep Learning in Python

Duration: 10.5 hours

Rating: 4.6 out of 5

This course will help you understand how profound thinking works and how to use it on something. So if you want to start your journey to become a master in deep learning, then this course may be the perfect choice for you. Start by learning how to build your first artificial neural network using deep learning techniques, and then move on to other important concepts like how to code backpropagation in NumPy, how to implement a neural network using Google’s new TensorFlow library, and so on. This course is available with a free trial of 30 days, so you can learn from your comfort zone at no hidden cost.

Key Highlights:

• Help a team of experts to help you resolve your course-related queries
• Cover a wide range of topics, such as how to scratch-code a neural network, how to build a neural network from basic building blocks, etc.
• Learn from one of Udemy ‘s best instructors with years of experience in delivering deep learning coaching
• Obtain a certificate of completion of the course with the assignments and projects in question
• Experience of different concepts relating to neural networks, such as activation, backpropagation and feedforward

You can Sign up Here

24. Free Data Science Courses (DataCamp)

Duration: Self-paced

Rating: 4.5 out of 5

If you are looking to learn data mining, machine learning or data visualization, Data Camp has a looks interesting for any data science subject. You can choose a course that best suits your knowledge, from obtaining an introduction to R to studying other advanced programming languages. There are many various courses to choose from, like Introduction to Python, Introduction to R, Visualization of Learning Data with Python, and more. You may also apply to become an instructor at Data Camp after completing certain courses and mastering all the skills. In addition, these courses are integrated with a professional certification program, meaning you will be awarded completion certificate after completion of these courses.

Key Highlights:

• Includes multiple videos, notes, practice exercises and quizzes to help you expand your skills and knowledge.
• Freedom to choose from a wide range of topics, including data engineering, data import and cleaning, data manipulation, data visualization and much more.
• Learn a wide range of programming languages and techniques, including R, Python, SQL, Git, Shell, Spreadsheets, and more.
• Learn from experienced instructors and industry professionals who will assist you at all learning stages.

You can Sign up Here 

25. Udemy Data Science Courses (Udemy)

Duration: Self-paced

Rating: 4.7 out of 5

Udemy is one those very platform that offers the ability and choose the best course in data science that fit your requirements. Such courses will help you understand how to interpret and adapt to new data, and create creative new technologies. The highest-rated courses are The Data Science Course 2019, Machine Learning A-Z, and Table 10 A-Z: Hands-on Tableau Training for Data Science, among this list of data science courses. All of these courses are developed and reviewed by Udemy ‘s professional instructors who have years of data science experience. You will also be able to gain your Certificate of Completion after completing these courses.

Key Highlights:

• Including multiple video lectures, quizzes, practice examinations and practical projects to help you understand each concept correctly.
• A list of numerous courses designed to give you unparalleled knowledge of various principles and techniques in data science.
• From machine learning , data mining and data analysis , Data Science covers every essential topic.
• Study 30 days free trial from your comfort zone with every course you choose.
• Learn and get guidance from a team of expert instructors and experts to help you resolve your queries.

You can Sign up Here

26. Data Science and Machine Learning Bootcamp with R

Rating : 4.6 out of 5

Jose Marcial Portilla also has decades work expertise as a professional teacher for data science and programming with a BS and MS from the University of Santa Clara. Over the years, his client base includes General Electric, Cigna, New York Times, Credit Suisse, etc. He will show you how to use the R programming language for data science in this data science tutorial. Few of the topics covered are R programming, advanced R features, using R to process Excel Files, web scraping with R, connecting R to SQL, using ggplot2 to view data and much more.

You can Sign up Here

27. Advanced Machine Learning Certification by Higher School of Economics

Rating : 4.8 out of 5

A total of 21 experts met to develop this course, and this is without a doubt one of the most extensive courses on data science and machine learning. This course is only appropriate for the intermediate level if you have fundamental knowledge of the subject. The course involves scientists from CERN, who share their experience with data science in solving real-world issues. This is a seven-level course and will lead you deep into the machine learning world.

You can Sign up Here

28. Data Structures and Algorithms Certification from UC San Diego

Rating : 4.6 out of 5

For this data structure and algorithms specialization the UC San Diego and the Higher School of Economics, along with the Computer Science Center and Yandex are organized in six courses. The teaching team includes Daniel M Kane, Pavel Pevzner, Michael Levin, Neil Rhodes and Alexander S. Kulikov. In this course, you will learn algorithmic techniques for solving different computational problems in a good combination of theory and practice. This is one of the best online algorithms with a variety of programming techniques. Two major initiatives are also part of the program: Big Networks and Genome Assembly.

You can Sign up Here

29. Excel to MySQL: Analytic Techniques for Business Certification from Duke University

Rating : 4.7 out of 5

This class from Duke University will help you to formulate questions correctly, visualize datasets and inform strategic decisions, taught by Jana Schaich Borg and Professor Daniel Egger. Learn how to use Excel, Tableau and MySQL for data analysis , modeling and insight communication. This is followed by a project in which you apply your expertise to work on a business process in the real world.

You can Sign up Here

30. Master of Computer Science in Data Science Degree Online (Illinois)

Duration: 2 years

Rating : 4.5 out of 5

If you choose to pursue a master’s degree in data science, this program is the best option for you. Through this course, you learn the skills and techniques of data science that transform business and society. With this program, you not only acquire the exact knowledge and insights from huge data sets but also get complete control over the computer infrastructure. This is an integrated program that incorporates both MCS requirements and data science-focused training, which means that you can learn both computer science concepts and data science techniques. Furthermore, this program includes various videos, notes, tests and practical projects to better equip you with the contents of the course.

Key Highlights:

• Included in various interdisciplinary data science courses offered in partnership with the Statistical Department.
• A rigorous curriculum focusing on key skills in computer education, data mining, data analysis and cloud computing.
• Flexible modes of payment that allow you to pay program fees in several instalments.
• Continuous teachers’ support and support if you have problems with the degree program.
• To learn tool-based, problematic approaches to machine learning with natural language processing, computer vision and geo-positioning applications.

You can Sign up Here

31. Big Data Certification by UC San Diego

Rating : 4.5 out of 5

The 6 course specialization has been created by UC San Diego with the industry partner splunk, where you learn about Big Data Modeling and Management Systems, Big Data integration and processing, Big Data machines and Big Data grafts. Leading Data Analytics Director, Mai Nguyen, and Ilkay Altintas, Chief Data Science Officer, teached by Amarnath Gupta, Advanced Query Processing Lab. Followed by a project to apply what you have learned.

You can Sign up Here

32. Data Engineering Course – Google Cloud (Coursera)

Duration: 5 weeks, 6 to 12 hours per week

Rating: 4.6 out of 5

This certification of data engineering, designed by Google Cloud experts, will help you to build data processing systems. You learn how to use different methods of machine learning and analyze data. You are dealing with structured, unstructured and streaming data. This course is not ideally intended for beginners but aimed at intermediate students who want to gain expertise in this field.

Key Highlights:

• Available on Coursera ‘s leading e-learning platform
• Part of Google Cloud’s official training platform
• Gain practical experience with components of the Google Cloud Platform.
• Using Tensorflow and Cloud ML machine learning models.

You can Sign up Here 

33. Machine Learning Certification from University of Washington

Rating: 4.8 out of 5

Leading researchers from the university of Washington created this certification course. You can learn about Prediction, Grouping, Clustering and Knowledge Recovery among other main fields, including theoretical and practical studies. In particular, you learn to describe the regression model input and output, calculate model parameters, adjust cross-validation parameters, and analyze model performance. Learned by Emily Fox, Amazon Machine Learning Professor and Carlos Guestrin, Amazon Machine Learning Professor.

You can Sign up Here

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Wrapping Up

This is the list of the 33 Best & Free Data Science Courses & Certification of 2023. They are popular and loved by many experienced data science learners. You will find between these courses what you need to learn in order to continue your data science learning journey.