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Top Courses October - Coursera's 10 Most Popular Specializations

Posted in 'Course Tracker' started by MoocLab, Oct 23, 2018.

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    #1 MOOC platform Coursera has shared with us their most popular MOOC Specilaization programs this month.

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    • 7-day Free Trial
    • Get 10% Off - when paying in advance for a specialization
    Expires Oct 31! Extended Free Trial on all Google Specializations

    Wharton's Business Foundations and Business Analytics
    Beginner Level | 6 Courses
    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. In the final Capstone Project, you’ll apply the skills learned by developing a go-to-market strategy to address a real business challenge.


    IBM Data Science Professional Certification
    Beginner Level | 9 Courses
    This program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.


    Google Cloud Machine Learning TensorFlow
    Advanced Level | 5 Courses
    This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.


    SUNY's Blockchain
    Intermediate Level | 4 Courses
    This specialization introduces blockchain, a revolutionary technology that enables peer-to-peer transfer of digital assets without any intermediaries, and is predicted to be just as impactful as the Internet. More specifically, it prepares learners to program on the Ethereum blockchain. The four courses provide learners with (i) an understanding and working knowledge of foundational blockchain concepts, (ii) a skill set for designing and implementing smart contracts, (iii) methods for developing decentralized applications on the blockchain, and (iv) information about the ongoing specific industry-wide blockchain frameworks.The specialization covers a range of essential topics, from the cryptographic underpinnings of blockchain technology to enabling decentralized applications on a private Ethereum blockchain platform. It is ideal for programmers and designers involved in developing and implementing blockchain applications, and anyone who is interested in understanding its potential.


    UC Boulder's Excel/VBA Creative Problem Solving
    Beginner Level | 3 Courses
    This Specialization is for learners wishing to dramatically change the way that they use Excel spreadsheets by unleashing the power to automate and optimize spreadsheets using Visual Basic for Applications (VBA). The first two courses will teach learners the basics of VBA through the use of dozens of educational screencasts and a series of quizzes and in-application programming assignments. Finally, in Part 3 of the course, learners will complete 3 "real world" and somewhat open ended projects, which are graded through peer review.


    NYU's Machine Learning and Reinforcement Learning in Finance
    Intermediate Level | 4 Courses
    The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a strong foundation on core paradigms and algorithms of machine learning (ML), with a particular focus on applications of ML to various practical problems in Finance. The specialization aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life that include: (1) mapping the problem on a general landscape of available ML methods, (2) choosing particular ML approach(es) that would be most appropriate for resolving the problem, and (3) successfully implementing a solution, and assessing its performance.


    Duke's Introduction to Programming in C
    Beginner Level | 4 Courses

    This specialization develops strong programming fundamentals for learners who want to solve complex problems by writing computer programs. Through four courses, you will learn to develop algorithms in a systematic way and read and write the C code to implement them. This will prepare you to pursue a career in software development or other computational fields.Successful completion of this Specialization will be considered by admissions as a demonstration of your skill and enhance your master’s application to Duke’s Pratt School of Engineering.


    IBM Introduction to Data Science
    Beginner Level | 4 Courses
    In this Specialization learners will develop foundational Data Science skills to prepare them for a career or further learning that involves more advanced topics in Data Science. The specialization entails understanding what is Data Science and the various kinds of activities that a Data Scientist performs. It will familiarize learners with various open source tools, like Jupyter notebooks, used by Data Scientists. It will teach you about methodology involved in tackling data science problems. The specialization also provides knowledge of relational database concepts and the use of SQL to query databases. Learners will complete hands-on labs and projects to apply their newly acquired skills and knowledge.Upon receiving the certificate for completion of the specialization, you will also receive an IBM Badge as a Specialist in Data Science Foundations.


    Python for Everybody
    Beginner Level | 5 Courses
    This 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.


    Google IT Support Professional Certificate
    Beginner Level | 5 Courses
    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. The program is part of Grow with Google, a Google initiative to help create economic opportunities for all Americans.

     

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