So far we have served 1.2 Million+ satisfied learners and counting. 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. The courses that make up this program include Python for Data Science, Probability and Statistics, Machine Learning Fundamentals and Big Data Analytics using Spark. Great work. All the topics required to become a successful data scientist are covered in the order so that it can be easily followed along. – Prantik Bala. This consists of 5 courses (Big Data with Hadoop, Big Data with Spark, Python, Machine Learning, and Deep Learning). –  Earn a Certificate of Excellence in Data Science and Analytics. – A list of multiple courses focused on providing you immense knowledge of various data science concepts and techniques, – From machine learning, data mining, to data analysis, cover every essential topic of Data Science, – Included with multiple video lectures, quizzes, practice exams, and hands-on projects to help you understand each concept properly, – Learn and gain guidance from expert instructors and a team of experts to help you solve your queries, – Study from your comfort zone with a 30 days free trial with every course you opt for. The Professional Certificate in Data Science series is a collection of online courses including Data Science: R Basics, Data Science: Visualization, and Data Science: Probability. By the end of the classes, you will not only have the confidence in the concepts covered but also skills to apply for relevant job profiles. – 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. – 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. Real-world case studies to jumpstart your career. Duration: 9 courses, 2 to 8 weeks per course, 2-4 hours per week. – Learn to analyze big data and make data-driven predictions through statistical inference and probabilistic modeling to extract meaningful data for decision making. – Programs dedicated to hands-on exercises and interview preparation. Courses in Computer Science and Applied Mathematics provide a foundation for launching our graduates into a variety of specialized careers, including data pipeline and storage and statistical analysis. – The complete toolbox is provided to get a grasp on this area. Data Science and data analytics are at the core of every modern globalized industry. But nevertheless, the content is refreshing along with the links, supplement materials associated. 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. Choose from 340+ interactive courses. – An introductory course that will help you discover R programming, learn how to write code in R, use R data structures, and create functions, – Improve your Python learning experience for data science while getting familiar with python programming crafted by IBM, – Master the concepts of machine learning techniques, such as supervised and unsupervised learning and hands-on modeling, rounding out your data science education, – Be a part of an online interactive industry master class to gain insights about data science advancements and AI techniques, Review: The material is exciting and structured. Taught by data professionals working in the industry, BrainStation's Online Data Science Course is built on a project-based learning model, enabling students to use data analysis, modeling, coding in Python, and more in order to solve real analytical problems. If you want to learn how to extract meaning and insights from massive data sets, then this course can provide you with all the fundamental knowledge that you need. – Become familiar with essential tools for practicing data scientists such as Unix/Linux, git and GitHub, and RStudio. Build and lead data science teams through data-driven decision making. There are multiple master’s degree data science programs to choose from, all of which are offered by top-rated universities around the world, such as the University of Michigan, University of Illinois at Urbana-Champaign, University of Colorado Boulder, etc. – Cover a wide variety of topics, such as programming with Python, NumPy and Python, Connect Python to SQL, Decision Trees, and many more, – Guide you to every essential concept of machine learning and how to use it with python programming for better outputs, – Learn how to implement machine learning algorithms and how to use Pandas for data analysis, – Freedom to prepare yourself from the comfort of your home with a 30 days free trial of the course, – Solve your queries and issues related to the course with the help of instructors assistant, – Available at an affordable price as compared to other data science courses, Review : The best instructor i have ever seen and the Question and Answer forum has an immediate response. – Complete the graded assessments and practical lessons to earn the course completion badge. – Explore pandas, numpy, perform statistical analysis, and present the extracted information in like a story so that it can be understood by both technical and non technical authorities. Data Science Course A-Z™: Real-Life Data Science (Udemy), 15. – 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. Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008. – Build, evaluate and compare models to predict future trends and draw insights. On Top of it, specially having perfectly designed templates for various algorithms will make you feel very comfortable. Chevron Right. This course is designed to help you learn how deep learning really works and how it can be used on anything. –  Develop skills to be a data-driven leader. – Instructors provide tips and advice on the best practices to develop and implement algorithms using the tools. – Learn to apply learning algorithms to build smart robots, understand text, audio, database mining. You will learn the R programming language, statistical concepts, and data analysis techniques simultaneously. Start learning for free and grow your skills! Cost: A Coursera subscription, which is required, costs $39/month.Based on Coursera's 10-month completion estimate, the approximate total program cost is $390.A similar program is also available on EdX for $369. This is one of the most sought after programs on Deep Learning available online. – Perform regression analysis, least squares, and inference using regression models. Certificate Courses. Throughout the course if you follow the video, you are sure to get the concept of machine learning. 7. This is a phenomenal class and Frank is an extraordinary instructor! – Benefit from experiential sessions that combine theory, real-life case studies and project work to help you gain practical perspectives. This is a 7 course curriculum, and it will take you deep into the world of machine learning. To register online for the Certificate Program in Data Science, complete these two steps: Submit the online registration, and complete your student account if you are a new student. In each course, we use motivating case studies, ask specific questions, and learn by answering these through data analysis. Do subscribe to us to hear about the latest programs from the domain. The course is part of a data science degree and constructed for students who have prior knowledge of, or are also studying, core fields such as programming, maths, and statistics. Review : It has been a great learning curve. This course has over 200 hours of video content. Complete hands-on exercises and follow short videos from expert instructors. – Build machine learning algorithms to make sense of the unstructured data and gain relevant information. Learn how to build neural networks and lead successful machine learning projects in this 5 course specialization from deeplearning.ai . – Little or no experience is required to enroll in the beginner level classes. Gives great insight on the hyper parameter tuning, regularisation and optimisation. If you have prior knowledge in the field of computer science or statistics and want to use it to move your career towards the fast-growing field of data science, then this platform has plenty of data science course options for you. 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. Join now. I will be rewatching some of the videos again to refresh my memory. Deep Learning Certification (deeplearning.ai), 7. – Learn from one of the best instructors of Udemy who has years of experience in providing deep learning coaching, – Avail assistance from a team of experts who will help you resolve your queries related to the course, – Know about various terms related to neural networks like activation, backpropagation, and feedforward, –  Receive a certificate of completion of finishing the course with given assignments and projects. The HarvardX Data Science program prepares you with the necessary knowledge base and useful skills to tackle real-world data analysis challenges. 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. 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. Students take the following 4 courses for completion: database systems or database design, data science and technologies, information visualization, and data protection and privacy. This is an integrated program that includes both MCS degree requirements and data science-focused coursework, which means you will learn computer science concepts as well as data science techniques. It is included with more than 100 lectures, with most of the topics covered with hands-on Python code examples. In this course, you will learn techniques that are used by real data scientists and machine learning practitioners in the tech industry. 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. Also, you will be in continuous collaboration with your instructor to submit and resolve your queries or any other help related to the course. This is an intermediate level course only relevant if you have basic knowledge around the subject. The hands on activities truly made it worth it! If you are willing to earn a master’s degree in Data Science, then this program is the ideal choice for you. You can reach out to a program advisor for a one on one discussion to help you learn more about the program and answer any questions you might have. – Coursera offers bachelor’s and master’s degrees, courses and specializations. 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. After completing this course, you will get a stronghold over advanced concepts of machine learning and Python programming. Case studies include: Trends in World Health and Economics, US Crime Rates, The Financial Crisis of 2007-2008, Election Forecasting, Building a Baseball Team (inspired by Moneyball), and Movie Recommendation Systems. You may also be interested in taking a look at some of the best Machine Learning Certifications. – 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. – In the capstone project implement an ML solution for a given data problem. Review : I really enjoyed this course. Pay the nonrefundable … – Tons of examples that demonstrate the real-life applications of this area. – Learn relevant techniques and tools that allow you to make informed decisions that contribute to the success of your organization. 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. A team of 5 instructors, all from UC San Diego will take these classes. Whether you want to learn data mining, machine learning, or data visualization, Data Camp has an ideal course for every subject related to data science. Content is good and videos are very well done. Udemy is one such platform that gives you the freedom to choose the best data science course according to your requirements. This course however made everything crystal clear. Post Graduate Program in Data Science (Purdue University), 4. We believe that you can better retain R knowledge when you learn how to solve a specific problem. The slow bits of information and the way testing is done is so methodical and so well planned. Spread across 9 courses, this immersive program is among the best rated online masters programs available on leading e-learning platform edX. – Gain best practices and advice from the instructor. After completing these courses and learning all the skills, you can even apply to become an instructor at Data Camp. 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. Review : Great course, amazing teacher. – Connect directly with UC Berkeley Executive Education’s faculty, industry leaders, and peers from every corner of the globe, – Learn how to analyze data sets with the help of Jupyter Notebook that is an open-source platform used for computational analysis, – Access live weekly prep sessions to introduce any technical concepts for the next module with live assignment reviews, – Get to interview with industry experts who are driven by data, from leading companies, such as Google, Uber, and many more, – Work in 2 week-long labs to focus on hands-on assignments and dig deeper into data analysis, Review: This program gave me the required insight into the world of data science, the different languages, models, algorithms as well as the value and pros/cons of using these. On Coursera you can earn degrees in data science and related fields offered by some of the best universities from the comfort of your home. All these courses are designed and reviewed by expert instructors of Udemy who have years of experience in data science field. And at the end of the course I’m quite confident to face any challenge in Machine learning world. – Part of official Google Cloud Platform training, – Available on leading e-learning platform Coursera. Duration: 4 courses, 10-15 weeks per course. Emily is an excellent instructor and the material was well planned and straightforward to follow. – Chennakeshav Rao K. This is another excellent course from Udemy that is focused on machine learning with Python and R programming languages. The exercises and examples are interesting and practical, maybe a bit too easy if an expert.