Coursera is the leading online platform for online courses, certifications and specializations in the field of business, computer science, data science, marketing, engineering and others. Coursera is the online portal to enlist the list of best certification and specialization available over the web. We have picked 30 best Most Popular Coursera Courses 2019 Edition, top rated Coursera Certifcation courses and coursera specialization with certifications out of 2400 courses list on Coursera. These best coursera certification courses are categorized in programming, data science, business and marketing section. These top Coursera courses will boost your knowledge and skills level and will advanced you career.
Top Coursera Courses in Programming & Development
1. Master Deep Learning - Best Course for Deep Learning (Over 2 Lakh Registration)
If you want to break into AI, this Coursera specialization will help you do so. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. It should be best option to learn deep learning.
Python is one of the most popular coursera course in the it sector. This Coursera specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
This cousera specialization or courera certification from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.
Michigan is one of the top university form where you can learn data science on web. The 5 courses in this University of Michigan specialization on coursera introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.
This Cousera specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. Data structure is the highly demanding subject across the globe and most popular coursera courses in 2018. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview.
Big Data is the most demanding skill in the 2019 across the globe. All big projects need data to handle properly with the help of data scientist. The growing demand of Big data should be next big things among the student. Do you need to understand big data and how it will impact your business? Big data will be your best coursera Specialization in 2019. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets.
This coursera specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. You'll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands on examples and programming assignments, you'll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark.
Learn front-end and hybrid mobile development, with server-side support, for implementing a multi-platform solution. These courses in this Specialization cover front-end frameworks: Bootstrap 4 and Angular. You’ll also learn to create hybrid mobile applications, using the Ionic framework, Cordova and NativeScript. On the server side, you’ll learn to implement NoSQL databases using MongoDB, work within a Node.js environment and Express framework, and communicate to the client side through a RESTful API.
This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. Develop Powerful Interactive Software. Advance your software development knowledge in four comprehensive courses.
Designed for beginners, this Specialization will teach you core programming concepts and equip you to write programs to solve complex problems. In addition, you will gain the foundational skills a software engineer needs to solve real-world problems, from designing algorithms to testing and debugging your programs.
This coursera specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.
Most Popular Coursera Courses on Data Science
12. Data Science
This coursera specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.
In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout.
14. R Programming
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code.
In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.
This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science. For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science.
This Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies. By the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data.
Top Coursera Courses on Business in 2019
In this Coursera Specialization or Coursera Certification, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process.
In this Specialization, you’ll develop basic literacy in the language of business, which you can use to transition to a new career, start or improve your own small business, or apply to business school to continue your education. In five courses, you’ll learn the fundamentals of marketing, accounting, operations, and finance.
This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data.
These foundational courses will introduce you to spreadsheet models, modeling techniques, and common applications for investment analysis, company valuation, forecasting, and more. When you complete the Specialization, you'll be ready to use your own data to describe realities, build scenarios, and predict performance.
In this Specialization, learners develop advanced Excel Skills for Business. Upon completing the four courses in this Specialization, learners can design sophisticated spreadsheets, including professional dashboards, and perform complex calculations using advanced Excel features and techniques. Learners have acquired the skills to manage large datasets efficiently, extract meaningful information from datasets, present data and extract information effectively.
This Specialization covers both the dynamics and the global aspects of strategic management. With cases drawn from leading companies like Disney, Microsoft and Zappos, you'll learn how to evaluate industry evolution, build and sustain competitive advantage, formulate and assess business strategies, and align efforts to organizational strategy.
The Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course you will master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships.
The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions.
Best Coursera Courses For web Development, Social Media Marketing, Seo and Other Online Marketing Tactics
This Coursera Specialization explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.
This Coursera Specialization is updated every quarter to ensure you are receiving the most up-to-date training. The Social Media Marketing Specialization is designed to achieve two objectives. It gives you the social analytics tools, and training to help you become an influencer on social media. The course also gives you the knowledge and resources to build a complete social media marketing strategy – from consumer insights to final justification metrics.
This Coursera Specialization will teach you to optimize website content for the best possible search engine ranking. You'll learn the theory behind Google search and other search engine algorithms; you'll also build practical, real-world skills that you can apply to a career in digital marketing or online content development, including on-page and off-page optimization, optimizing for local and international audiences, conducting search-focused website audits, and aligning SEO with overall business strategies.
This five-course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. If you’ve been tinkering with IT or are new to the field, you’re at the right place.
30. Career Success
This series of courses will help you build, develop and hone the essential skills needed to improve your employability and advancement in today’s dynamic workforce. The courses in this Specialization may be taken in any order. Each course can also be taken independently. The Specialization concludes with a Capstone project that will give you the opportunity to integrate and apply the skills you have gained throughout the courses to your individual and organizational needs.
We have compiled up the list of 30 most popular coursera courses to learn various skills in 2019 like Data Science, Big Data, Digital marketing, business. You can decide your own pace and speed to learn top coursera courses in what time you want. These courses will cover up the practical exposure which is required to become a ninja in the respective field you are in.