15 Best Data Science Certification & Course [2019] [UPDATED]

Best Data Science Certifications, Degree, Courses and Tutorials

Our team of global experts has done extensive research to come up with this list of 15 Best Data Science Certifications, Degree, Course, Tutorial, and Training available Online for 2019. These include free and paid learning resources and are relevant for beginners, intermediate learners as well as experts. So far, 42,000+ students and professionals have benefited from this compilation.

 

15 Best Data Science Certification, Course, Tutorial & Degree Online [2019] [UPDATED]

1. Data Science Certification from Harvard University (edX)

Harvard Online CoursesThis Harvard Certification program will teach you key data science essentials, including R and machine learning using real-world case studies to kick start your data science career. Spread across 9 courses, this immersive program is among the best rated online masters programs available on leading e-learning platform edX. The courses that make up this program include R Basics, Visualization, Probability, Inference and Modeling, Productivity Tools, Wrangling, Linear Regression, Machine Learning followed up with a Capstone project to test and try all that you learn in the course. You will learn the R programming language, statistical concepts, and data analysis techniques simultaneously.

 

Key USPs –

– Cover the fundamental R programming skills.

– Explore statistical concepts such as probability, inference, and modeling and apply them in practice.

– Gain experience with the tidyverse, including data visualization with ggplot2 and data wrangling with dplyr.

– Become familiar with essential tools for practicing data scientists such as Unix/Linux, git and GitHub, and RStudio.

– Implement machine earning algorithms and in-depth knowledge of this area with real-life case studies.

 

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

Rating: 4.8 out of 5

You can Sign up Here

 

 

2. IBM Data Science Professional Certificate (Coursera)

If you have decided to pursue a career in Data Science or machine learning then this is a fairly good place to begin. This certification consists of a series of 9 courses that help you to acquire skills that are required to work on the projects available in the industry. The lectures cover a wide range of topics including data visualization, analysis, libraries, and open source tools. By the end of the program, you will have multiple assignments and projects to showcase your skills and enhance your resume.

 

Key USPs-

– Well designed content and all the topics are covered elaborately.

– The instructor helps you to work on the fundamental techniques with the help of examples.

– Plenty of opportunities to implement the skills covered in the lessons and using real-world tools and real-world datasets.

– No prior programming or computer science knowledge is required as all the topics are covered from scratch.

– The classes contain tips and techniques along with assessments and projects.

 

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

Rating: 4.6 out of 5

You can Sign up Here (Special 10% Discount only till 31st May 2019)

 

Review : Excellent quality content! It’s a great introductory course that really gets you interested in Data Science. I would highly recommend it to anyone curious in learning about what Data Science is about.

 

 

3. Data Science and Statistics Certification by MIT (edX)

MIT Courses OnlineThis series of 5 courses will help you strengthen your foundation of data science, statistics and machine learning. You will learn to analyze big data and understand how to make data-driven predictions through statistical inference and probabilistic modeling to extract meaningful data for decision making. Journey will begin from the very basics of probability and statistics before moving on to data analysis techniques and machine learning algorithms. It is advisable to have college-level calculus, mathematical reasoning, and python programming proficiency to make the most of this certification. You may apply to a variety of job roles after the completion of this certification, including that of a data scientist, data analyst and system analyst to name a few.

 

Key USPs-

– Strengthen your foundation of data science, statistics, and machine learning throughout the series of courses.

– Instructors provide tips and advice on the best practices to develop and implement algorithms using the tools.

– Learn to analyze big data and make data-driven predictions through statistical inference and probabilistic modeling to extract meaningful data for decision making.

– Build machine learning algorithms to make sense of the unstructured data and gain relevant information.

– Work on popular unsupervised learning methods such as clustering methodologies and supervised methods such as deep neural networks.

– There are various job titles that can be applied to, after the completion of this certification such as data scientist, data analyst, system analyst to name a few.

 

Duration: 5 courses, 2 to 16 weeks per course

Rating : 4.6 out of 5

You can Sign up Here 

 

 

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

This is essentially an online version of a masters degree program in Data Science by UC San Diego, where professors and trainers from the university will impart knowledge online. Spread across multiple months, this is ideal for students and professionals looking for an immersive learning program that goes really deep into the concepts of data science. You will develop a well-rounded understanding of the mathematical and computational tools and how to use them to make data-driven recommendations.  The course that make up this program include Python for Data Science, Probability and Statistics, Machine Learning Fundamentals and Big Data Analytics using Spark. A team of 5 instructors, all from UC San Diego will take these classes.

 

Key USPs-

– Learn to collect, clean and analyze data big data and perform large scale data analysis and present the data in a convincing and visual way.

– Make reliable statistical inferences from noisy data and use machine learning to learn models for data.

– Visualize complex data with the tools and languages covered in the lectures.

– Use Apache Spark to analyze data that do not fit within the memory of a single computer.

– Work on practical assignments and projects to enhance your portfolio and implement the topics covered in the videos.

 

Duration : 4 courses, 10-15 weeks per course

Rating : 4.6 out of 5

You can Sign up Here

 

 

5. Data Science Nanodegrees (Udacity)

Individuals who want to be an expert in data science concepts like data manipulation, predictive analytics, machine learning, and visualization can take help from this Data Science program offered by Udacity. This is a specialized Data science course that consists of multiple Nano degree programs and different courses focused on specific subjects of Data science. With this program, you can become a Data Analyst, Data Engineer, Data Scientist, or choose any other field in the same domain. The program also includes multiple free courses of data science, such as Database Systems Concepts, Intro to Data Science, SQL for Data Analysis, and many more.

 

Key USPs –

– Learn from the top instructors of Udacity who are focused on helping individuals learn every concept with a deep understanding

– Learn different concepts of Data Analyst like Data Wrangling, Pandas & NumPy, Matplotlib, Bootstrapping, etc.

– Gain knowledge of different programming languages, such as Python, NumPy, SQL, Git & Git Hub

– Access course content from your own pace without any schedules and easy monthly installments

– Learn from the real-world projects designed by industry experts and professionals

– Become a Pro in Data Science after completing these Nano degree programs and specific courses

 

Duration: Self-paced

Rating: 4.7 out of 5

You can Sign up Here

 

 

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

University of MichiganThis is a 5 course program from the University of Michigan which will help you learn data science through the python programming language. You will need to have basic knowledge of Python and will be taught about popular python toolkits such as pandas, matplotlib, nltk and networkx among others to make sense of data. In particular, the 5 courses will cover Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python and Applied Social Network Analysis in Python. You will be taught by Christopher Brooks, Kevyn Collins-Thompson, Daniel Romero and V. G. Vinod Vydiswaran. With numerous assignments, assessments, and projects this is the perfect place to get a step closer to becoming a data scientist.

 

Key USPs –

– Go over the basics of the Python programming environment including fundamental programming techniques such as lambda, reading and manipulating CSV files and the numpy library.

– Get an introduction to the information visualization basics with a focus on reporting, charting using the matplotlib library.

– Learn how to use Python for getting started with machine learning.

– Learn to work on text mining and manipulation basics. Get an idea of how text structure is handled by Python.

– Get the opportunity to perform social network analysis in the last program of this specialization which will give you an idea about how things are handled in real life problems.

 

Duration: 5 months, 7 hours per week

Rating : 4.5 out of 5

You can Sign up Here

 

Review : Great class! Right amount of challenging for someone with some Python (or scripting) background to cover some useful Pandas scenarios. Only critique is the coding challenges would be better if error logs were provided.

 

 

7. Deep Learning Certification (deeplearning.ai)

deeplearning coursera courseLearn how to build neural networks and lead successful machine learning projects in this 5 course specialization from deeplearning.ai . You will be taught about Python, Tensor Flow, RNNs, LSTM, Adam, Convolutional Networks and Xavier initialization among other aspects. The program is taught by Andrew Ng, Co-founder, Coursera & Adjunct Professor, Stanford University; Younes Bensouda Mourri, Mathematical & Computational Sciences, Stanford University and Kian Katanforoosh, Adjunct Lecturer at Stanford University, deeplearning.ai, Ecole Centrale Paris. This is one of the most sought after programs on Deep Learning available online.

 

Rating : 4.9 out of 5

You can Sign up Here

 

Review : Very useful course. Gives great insight on the hyper parameter tuning, regularisation and optimisation. One request I have is to provide a docker image which we can use to run the exercises locally. Sometimes I found it hard to build the environment where I can run the coursework. Some of the installations are clashing and it is not clear what versions of libraries are used in the coursework environment. It sometimes requires unnecessary effort.

 

 

8. Machine Learning Certification by Stanford University (Coursera)

Stanford Coursera CourseAndrew Ng, former head of Google Brain and Baidu AI Group has created this course along with other professors from Stanford University. It is one of the most sought after courses and certifications around machine learning available online. You will learn about Supervised learning, Unsupervised learning among other key areas and the course includes multiple case studies and applications to help you learn how to apply algorithms to build smart robots. This is one of the best data science courses you can opt for.

 

Key USPs-

– Handle large amounts of data from various fields and in different formats.

– Understand parametric and non-parametric algorithms, clustering, dimensionality reduction among other important topics.

– Gain best practices and advice from the instructor.

– Interact with your peers in a community of like-minded learners from all levels of experience.

– Real world based case studies give you the opportunity to understand how problems are solved on a daily basis.

– The flexible deadline allows you to learn as per your convenience.

Learn to apply learning algorithms to build smart robots, understand text, audio, database mining.

 

Duration : 55 hours

Rating : 4.9 out of 5

You can Sign up Here

 

Review : This course is arguably the best place to start for anyone who wants to learn machine learning. I’ve tried other approaches before, like diving head first into neural networks without a clue about other simpler algorithms like linear and logistic regression and just got confused despite having no trouble with the mathematics. This course however made everything crystal clear. And I have yet to see an instructor as good as Andrew Ng. His enthusiasm was a great motivator.

 

 

9. The Data Science Course 2019: Complete Data Science Bootcamp (Udemy)

If you are thinking about starting a career in this rapidly growing field then this bestseller is worth a look. All the topics required to become a successful data scientist are covered in the order so that it can be easily followed along. Each of the topic builds on the previous one and talks about the ins and outs of each of this area and allows you to get a better grasp on the buzzwords in the realm of data science. So you can start from scratch and by the end of the boot camp, you will be proficient in handling real-life challenges and go for more advanced specializations.

 

Key USPs –

– The complete toolbox is provided to get a grasp on this area.

– Understand the mathematics behind machine learning.

– Solve real-life business cases that will get you the job.

–  Start coding in Python and learn how to use it for statistical analysis.

– Topics covered include intro to data and data science, mathematics, statistics, Python, Tableau, advanced statistics, and machine learning.

– 434 Lectures + 80 Articles + 129 Downloadable resources + Full lifetime access

– Question and answer support and community available.

 

Duration: 25 hours

Rating: 4.5 out of 5

You can Sign up Here

 

 

10. Microsoft Professional Program in Data Science (edX)

Microsoft edXThis professional program by Microsoft consists of 9 courses in addition to a project and will take about 16 – 32 hours per course. It is a 10 course program and you can also choose individual courses if you want. You will learn about using Microsoft Excel to explore data, using Transact-SQL to query a relational database, creating data models using Excel or Power BI, applying statistical methods to data and using R or Python to explore and transform data Follow a data science methodology. The program is broken into 4 major units which further consist 10 courses. It is all followed by a project to help you apply all that you learn through the duration of this course. With equal emphasis on theoretical and practical lessons, this course makes sure that you make the most of what the classes have to offer.

 

Key USPs-

– Use Microsoft Excel to explore data and Transact-SQL to query a relational database.

– Create and validate ML models with Azure and write the code using R or Python.

– The interactive lessons and quizzes make the classes intriguing and provide an opportunity to check your grasp on the topics covered.

– Complete the graded assessments and practical lessons to earn the course completion badge.

– The training is divided into weekly sections along with quizzes.

– In the capstone project implement an ML solution for a given data problem.

 

Duration: 10 courses + Final Project, 16 to 32 hours per course

Rating : 4.5 out of 5

You can Sign up Here

 

 

11. Data Science Certification from John Hopkins (Coursera)

John Hopkins Coursera CourseThis certification course from John Hopkins will help you launch your Data Science career. It consists of a nine course introduction to data science, developed and taught by leading professors including Roger D. Peng, PhD Associate Professor, Biostatistics; Brian Caffo, PhD and Jeff Leek, PhD Associate Professor, Biostatistics. In this program, you will learn about R Programming, Getting and Cleaning Data, Exploratory Data Analysis, Reproducible Research and Statistical Inference among host of other areas. The training will be followed by a Capstone Project, where you will build a data product using real-world data. Our team of experts feels that this is one of the best Data Scientist certification you will find on the web.

 

Key USPs-

– The certification can be taken by anyone with beginner level experience of Python and regression.

– Use R to clean, analyze and visualize data.

– Navigate throughout the complete data science pipeline from data acquisition to publication and manage projects using GitHub.

– Perform regression analysis, least squares, and inference using regression models.

 

Duration: 8 months, 5 hours per week

Rating : 4.5 out of 5

You can Sign up Here

 

Review : The Professor’s are just amazing in their knowledge. The slow bits of information and the way testing is done is so methodical and so well planned. If anybody says they are bored then I am sure they are bluffing, as I found out how enjoyable online learning can me. I am 40, working and a father of 2 children, time is scarce and this online way of learning with financial aid, I could not ask for anything more. Coursera is helping people like me find a hope of learning at their own pace, place and with their financial aid program helping poor people from developing countries like India see the light at the end of the tunnel.

 

 

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

Kirill Eremenko is a Data Science management consultant who helps businesses drive strategy, revamp customer experience and revolutionize existing operational processes. He has created 36 online courses so far and has taught over 400,000 students! At an average rating of 4.5 from 96,000 students you can be rest assured that he is one of the best tutors in the business. In this course he will teach you Data Science step by step through real Analytics examples including training you on Data Mining, Modeling, Tableau Visualization and more. Specifically you will learn about cleaning and preparing your data, performing basic visualization, modelling your data using tools such as SQL, SSIS, Tableau and Gretl. This is one of the Best Data Science tutorial you will find online and you will receive a certificate on completion.

 

Rating : 4.5 out of 5

You can Sign up Here

 

Review : It has been a great learning curve. I understood most things Kirill taught ( the question is do I remember them? hahaha!) Jokes apart, I honestly think he did a very good job at explaning all concepts particularly the tough mathematical/statistical contents. Well done! Kirill. I will be rewatching some of the videos again to refresh my memory. Overall it’s great value for money! Thanks Kirill for sharing your knowledge.

 

 

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

This comprehensive course by Jose Portilla, a BS and MS in Engineering from Santa Clara University will help you understand how to use Python to analyze data, create beautiful visualizations and use powerful machine learning algorithms. Learn all about NumPy, Seaborn , Matplotlib, Pandas, Scikit-Learn, Machine Learning, Plotly, Tensorflow and much more in this 21.5 hour long tutorial which has already been attended by over 100,000 students globally. With high ratings and wonderful recommendations, this is a must attend program if you are looking to master the subject.

 

Rating : 4.6 out of 5

You can Sign up here

 

Review : The best instructor i have ever seen and the Question and Answer forum has an immediate response. i love his teachings. Thank you sir. But i would like to suggest in MNIST lecture. i watched thrice, but i couldnt understand those 3 lectures, please update those lectures. but at the end, contriblearn made me satisfied. i was very confused about tensorflow. but in the end, i completely understood. hope you continue your lecture series. i want to learn more courses from you. – Chennakeshav Rao K

 

 

14. Mathematics for Machine Learning (Coursera)

This course aims to bridge that gap and helps you to build a solid foundation in the underlying mathematics, its intuitive understanding and use it in the context of machine learning and data science. Start with Linear Algebra and Multivariate Calculus before moving on to more complex concepts. By the end of the classes, you will have a strong mathematical footing to take more advanced lessons in ML and become a professional.

 

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

Rating: 4.6 out of 5

You can Sign up Here 

 

 

15. Statistics with R Certification from Duke University

Be ready to be amazed by the outstanding professors from Duke including Mine Çetinkaya Rundel, David Banks, Colin Rundel and Merlise A Clyde in this course where you will learn all about Bayesian Statistics, Linear Regression and Modeling, Inferential Statistics and Probability & Data. It is a beginner level specialization and you don’t require any previous experience to enroll for this one.

 

Rating : 4.7 out of 5

You can Sign up Here

 

Review : Excellent course for one seeking to understand the basics of Inferential. It as difficult as it sounds, but manageable and the additional course materials are enough for the intermediate level self study.

 

 

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

This Master of Computer Science in Data Science (MCS-DS) is an Online Degree from Illinois. You will be taught to build expertise data visualization, machine learning, data mining and cloud computing. It is offered in collaboration with the University’s Statistics Department and top-ranked iSchool. Multitude of entrepreneurs, educators, and technical geniuses have graduated from this school. This is one of the few Data Science Degree Courses available online.

 

Rating : 4.5 out of 5

You can Sign up Here

 

Bonus Courses

 

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

Kirill Eremenko and Hadelin de Ponteves along with their Super DataScience Team are masters when it comes to data science and they have together come up with this brilliant course to help you create Machine Learning Algorithms in Python and R. You don’t need any prior experience before signing up for this course and high school level mathematics understanding will be enough. It is a 40.5 hour long offering that will give you all knowledge required to excel in this field and has already been attended by more than 200,000 students worldwide.

 

Rating : 4.5 out of 5

You can Sign up Here

 

Review : Kirill and Hadelin really took time to design the course such a way that understand the Concept very easily, even though if you don’t have any previous knowledge. On Top of it , specially having perfectly designed templates for various algorithms will make you feel very comfortable . Throughout the course if you follow the video , you are sure to get the concept of machine learning. And at the end of the course I’m quite confident to face any challenge in Machine learning world . – Prantik Bala

 

 

18. Data Engineering Course – Google Cloud (Coursera)

Google Cloud Course Certification Class OnlineThis data engineering certification, designed by Google Cloud experts will help you master designing systems for processing data. You will learn how to implement various machine learning techniques and analyse data. You will work with structured, unstructured as well as streaming data. This is not ideally a beginners course, but aimed at intermediate learners wanting to gain expertise in this domain.

 

Key USPs-

– Part of official Google Cloud Platform training

– Available on leading e-learning platform Coursera

– Use machine learning models using Tensorflow and Cloud ML.

– Gain hands-on experience using the Google Cloud Platform components.

 

Duration: 5 weeks, 6 to 12 hours per week

Rating: 4.6 out of 5

You can Sign up Here 

 

 

19. Data Scientist Learning Path for Beginners (Codecademy)

Codecademy has created this learning path to help you grasp the basic technicalities of data science as a whole. The lessons include topics such as SQL, Python, NumPy, pandas, matplotlib, scilit-learn and more. Master the skills needed to analyze data and build machine learning algorithm to bag your dream job.

 

Key USPs-

– Beginners are welcome to enroll in this path.

– Use SQL to talk to the database and manipulate tables like a real data scientist.

– Use Python for statistical analysis and create data visualizations to see the big picture.

– Get hands-on with machine learning and artificial intelligence concepts.

– The project sublime limes’ line graph gives you the opportunity to practice with making line graphs.

– Fit a line to data about the honeybee population decline in the United States in the Honey Production.

– Think like a real programmer.

– The experts on this platform guide you through each step.

 

Duration: 35 weeks

Rating: 4.5 out of 5

You can Sign up Here 

 

 

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

Frank Kane is an expert at all things data science and with this tutorial, he will teach you all about neural network, artificial intelligence and machine learning techniques. This comprehensive data science tutorial with over 80 lectures includes loads of Python code examples. Frank, with his previous experience at Amazon and IMDb will teach you all about what matters. Specifically, you will learn to make predictions using linear regression, polynomial regression, and multivariate regression; understand complex multi-level models; build a spam classifier and learn much more in 12 hours of on demand online lectures.

 

Rating : 4.5 out of 5

You can Sign up Here

 

Review : Excellent explanations. Easy to follow. GREAT examples! This is a phenomenal class and Frank is an extraordinary instructor! I recommend this class / tutorial to all very interested!

 

 

21. Data Science: Deep Learning Tutorial in Python

This program will serve as a guide for writing a neural network in Python and Numpy using Google’s TensorFlow. The trainer will teach you about how deep learning really works and how a neural network is built from basic building blocks. He will help you demystify various terms related to neural networks like “activation”, “backpropagation” and “feedforward”. There is a live project which is a part of the course to help you implement what you learn in real time.

 

Rating : 4.6 out of 5

You can Sign up Here

 

Review – Very nice course, it is well organized and explained. The exercises and examples are interesting and practical, maybe a bit too easy if an expert. The pace is good and everything covered thoroughly. Extra help lecture provided for troubleshooting.

 

 

22. Data Science Tutorial with R

With a BS and MS from Santa Clara University, Jose Marcial Portilla also comes with years of experience as a professional trainer for Data Science and programming. His client base over the years includes General Electric, Cigna, The New York Times, Credit Suisse among many others. In this data science tutorial, he will teach you how to use the R programming language for data science. Few of the topics that will be covered include programming with R, advanced R Features, using R to handle Excel Files, web scraping with R, connecting R to SQL, using ggplot2 for data visualizations and many other areas.

 

Rating : 4.6 out of 5

You can Sign up Here

 

Review : Great course, amazing teacher. Although I have a background in software development and databases, I had never used R before or employed statistical methods. After taking this course, including the recommended reading and the exercises, I feel confident in being able to use R and the machine learning methods covered in the course.

 

 

23. Advanced Machine Learning Certification by Higher School of Economics

A total of 21 professors and researchers have come together to create this course; and this is undoubtedly one of the most comprehensive courses on data science and machine learning. This is an intermediate level course only relevant if you have basic knowledge around the subject. The course includes CERN scientists who will share their experiences of solving real-world problems using data science. This is a 7 course curriculum, and it will take you deep into the world of machine learning.

 

Rating : 4.8 out of 5

You can Sign up Here

 

Review : Great course. Teaches you a lot of techniques and hands-on assignments. The course covers extensively on how to achieve a better score in Kaggle with tips and techniques. The real-world data science would be slightly different to this. But nevertheless, the content is refreshing along with the links, supplement materials associated.

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

Taught by Jana Schaich Borg and Professor Daniel Egger, this course from Duke University will help you formulate data questions, visualize datasets and inform strategic decisions. Learn how to use Excel, Tableau and MySQL to analyze data, build models and communicate your insights. It is all followed by a project where you will apply your skills to work on a real world business process.

 

Rating : 4.7 out of 5

You can Sign up Here

 

Review : The course was very well organized. Instead of just teaching tableau the course covered aspects about how to approach a business problem, design ways to approach a problem, structured thinking and then went to solving those problems using tableau. Even after tableau was taught the instructor covered aspects of how to present it to the target audience and make an impact. Great work. Only suggestion will be to be up to date about the content as tableau comes up with upgrades but the course videos don’t include it.

 

 

25. Data Structures and Algorithms Certification from UC San Diego

UC San Diego and Higher School of Economics along with Computer Science Center and Yandex come together for this Data Structures and Algorithms Specialization spread across 6 courses. It is taught by a group of extremely proficient professors that include Daniel M Kane, Pavel Pevzner, Michael Levin, Neil Rhodes and Alexander S. Kulikov. There’s a good mix of theory and practice in this course where you will learn algorithmic techniques for solving various computational problems. This is one of the best Algorithms online course with the wealth of programming techniques it teaches you. The program also consists of two major projects : Big Networks and Genome Assembly.

 

Rating : 4.6 out of 5

You can Sign up Here

 

Review : Thanks for the course. Content is good and videos are very well done. Only problem is that the assignment problems were gruelling and unfortunately it is hard to get one-to-one contact for help if you get stuck

 

26. Big Data Certification by UC San Diego

UC San Diego with industry partner splunk has created this 6 course specialization where you will learn about Big Data Modeling and Management Systems, Big Data Integration and Processing, Machine Learning With Big Data and Graph Analytics for Big Data. Taught by Amarnath Gupta, Director, Advanced Query Processing Lab; Mai Nguyen, Lead for Data Analytics and Ilkay Altintas, Chief Data Science Officer. It will be followed by a project to implement all that you have learnt.

 

Rating : 4.5 out of 5

You can Sign up Here

 

Review : The basis to most of the concepts given were very informational and each lesson was well developed. The hands on activities truly made it worth it!

 

 

27. Machine Learning Certification from University of Washington

This certification course has been created by leading researchers at the University of Washington. Consisting of both theoretical study and practical lectures, you will learn about Prediction, Classification, Clustering and Information Retrieval among other key areas. Specifically, you will learn to describe the input and output of a regression model, estimate model parameters, tune parameters with cross validation and analyze the performance of the model. Taught by Emily Fox, Amazon Professor of Machine Learning and Carlos Guestrin, Amazon Professor of Machine Learning.

 

Rating : 4.8 out of 5

You can Sign up Here

 

Review : I really enjoyed this course. Emily is an excellent instructor and the material was well planned and straightforward to follow. The programming assignments were useful and I got a lot out of implementing the algorithms from (near) scratch. I would have liked to see SVR and ensemble methods as part of this class but I understand they will be covered in another course. I used graphlab for all of the assignments but I also used numpy and and pandas when I couldn’t find the functions I was looking for in graphlab. I was not a fan of the coursera hosted notebooks with graphlab for the first course but running it off my own machine was a different experience and I could definitely be sold on a single solution in place of numpy, pandas, and scikit learn.

 

28. Tableau 10 A-Z: Hands-On Tableau Training For Data Science!

Kirill Eremenko, the Data Scientist & Forex Systems Expert has another wonderful course lined up and this time it is about Tableau 10. He will teach you data visualization through Tableau 10 and teach you all about customer purchase behavior and sales trends. He will empower you to prepare and present data easily.

 

Rating : 4.7 out of 5

You can Sign up Here

 

Review : All of Kirill’s courses are awesome, and this one is no exception. I already knew how to use Python and R for data science, but this course got me very excited in Tableau! I would love to use Tableau for most data science visualizations from now on – possibly excepting machine learning visualizations, since Tableau cannot train machine learning models AFAIK (although it can forecast).

So that was our take on Best Data Scientist Certification, Tutorial, Courses, Class and Degree available online. Along with all these courses, you may also be interested in checking out Python Certification or Learn Blockchain Development. So that was our take on the best from the field of data science programs, hope you found the right program for you. Wish you happy learning! Do subscribe to us to hear about latest programs from the domain.