Teaches you a lot of techniques and hands-on assignments. – Learn how to use Python for getting started with machine learning. Wish you happy learning! Data Science Certification from Harvard University – edX This program will teach students key data science essentials like R and ML with the help of real-world case studies. The program has five modules, with three modules being held on the Berkeley campus and the remaining two modules to be completed online. It’s a great introductory course that really gets you interested in Data Science. – Reach out to the instructors and get your queries answered. 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. – Visualize complex data with the tools and languages covered in the lectures. If you have decided to pursue a career in Data Science or machine learning then this is one of the best data science course you will find online. All these courses are designed and reviewed by expert instructors of Udemy who have years of experience in data science field. It is included with more than 100 lectures, with most of the topics covered with hands-on Python code examples. Courses: Experimental design, Basic probability, and its applications, Statistical inference and Sampling and Probing techniques. There are also many interview questions which will help you to pass the interview. Sometimes I found it hard to build the environment where I can run the coursework. This course offers an introduction to the technical side of data science but is particularly aimed at understanding the "big picture" for those who need to manage data scientists or data science work. Individuals with prior experience can check out programs that discover how data science integrated with ML, Deep Learning and other areas to solve real-life problems. You will learn how to promote a data-driven culture, how to translate business problems, and how to lead a team with a diverse set of skill sets towards solving these problems. – Earn Alumni benefits on the successful completion of the program and become part of a network of 41,000+ Berkeley Haas alumni across the globe. You will be taught by Christopher Brooks, Kevyn Collins-Thompson, Daniel Romero and V. G. Vinod Vydiswaran. The best data science certification online uses two real-life case study as projects. Andrew Ng, former head of Google Brain and Baidu AI Group has created this course along with other professors from Stanford University. This is an intermediate level course only relevant if you have basic knowledge around the subject. It’s relatively simple to learn the basics and can be combined with a number of free, open-source libraries to perform hugely powerful data science operations. During the course, you will learn about basic mathematical and statistical concepts like mean, standard deviation, graphs, histograms, and logarithmic functions, and then you will move on to advanced concepts like forecasting machine learning, advanced regression models, building effective data science teams, etc. Extra help lecture provided for troubleshooting. You will develop a well-rounded understanding of the mathematical and computational tools and how to use them to make data-driven recommendations. – Navigate throughout the complete data science pipeline from data acquisition to publication and manage projects using GitHub. Believe it or not, we are living in an era where every bit of data is becoming precious day by day. – Cover a wide variety of topics, such as how to code a neural network from scratch, how to build a neural network from basic building blocks, etc. So, if you want to start your journey towards becoming a master in deep learning, then this course can be the ideal choice for you. The course includes CERN scientists who will share their experiences of solving real-world problems using data science. – Lectures + Exercises + Downloadable resources + Full lifetime access. 4 courses are required: applied analytic statistics, programming for data science, data architecture, and data mining and predictive modeling. Completing any of these master’s degree programs, you will be able to become a professional data scientist. Review – Very nice course, it is well organized and explained. Once you've worked through that, you can choose from several other similarly bite-sized tutorials covering data programming languages, visualization tools, and techniques such as building clustering and regression models. – Use R to clean, analyze and visualize data. – Topics covered include intro to data and data science, mathematics, statistics, Python, Tableau, advanced statistics, and machine learning. 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. – Interact with your peers in a community of like-minded learners from all levels of experience. – Learn to extract data from different sources and put them into the desired format. Offered by IBM. – 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. His client base over the years includes General Electric, Cigna, The New York Times, Credit Suisse among many others. A career in Data Science is the in-thing in today’s world of IT. All of the class materials and lectures for Harvard's data science course are made freely available online, so they can be studied at your own pace. The slow bits of information and the way testing is done is so methodical and so well planned. You will learn the R programming language, statistical concepts, and data analysis techniques simultaneously. So that was our take on the best from the field of data science programs, hope you found the right program for you. – A fun and exciting course that will take you to a journey of learning machine learning, data mining, and data science concepts, – Cover a wide variety of topics like data processing, linear regression, clustering, deep learning, reinforcement learning, and much more, – Comes with practical exercises, based on real-life examples, that will help you improve your knowledge and experience in data science, – Included with both R and Python templates that you can download easily and use with your projects, – Provides a certificate of completion on finishing the course with given projects, 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. Content is good and videos are very well done. This is one of the most sought after programs on Deep Learning available online. This is a phenomenal class and Frank is an extraordinary instructor! Our editors also considered the following factors in the decision process. Introduction to Data Science in Python – University of Michigan (Coursera). You will be taught about Python, Tensor Flow, RNNs, LSTM, Adam, Convolutional Networks and Xavier initialization among other aspects. If you are thinking about starting a career in this rapidly growing field then this bestseller is worth a look. With this program, you can become a Data Analyst, Data Engineer, Data Scientist, or choose any other field in the same domain. Certificates are a good way to demonstrate that professionals have the skills necessary to pursue a different career path without the time commitment toward a full degree. – Freedom to choose from a wide variety of topics, such as Data Engineering, Importing and cleaning data, Data Manipulation, Data Visualization, and many more, – Learn from expert instructors and industry professionals who will assist you at every stage of learning, – Included with multiple videos, notes, practice exercises, and quizzes to help you expand your knowledge and skills. Post Graduate Program in Data Science (Purdue University), 4. Apart from this if you are looking for comparatively short term courses then you can choose from options like data science using R, toolbox of a data scientist, analytics for business, analysis using Excel, and Python data structures. – Learn how to build artificial neural networks with TensorFlow and Keras, and how to make predictions with linear regression and polynomial regression, – Understand how to classify images, data, and sentiments with the help of deep learning, – Learn to organize data with K-means clustering, support vector machines, KNN, Decision trees, and PCA, – Cover essential topics of data science, such as data visualization, transfer learning, sentiment analysis, multi-level models, and many more, – Build a movie recommender system with item-based and user-based collaborative filtering after finishing the course, – Earn a certificate of completion on completing the course with given assignments.