Edx Data Analytics Courses & Certifications

Analytical models play a crucial role when it comes to interpreting data, making business decisions, and predicting outcomes. The Introduction to Analytics Modelling online course is part of the MicroMasters programs in Analytics: Essential Tools and Methods. It will teach learners all about the fundamental analytical models and methods, and how to implement them using tools like R, which are common in the industry.

After completing the Introduction to Analytics Modelling online training programme, candidates will have at their disposal, all the tools needed to solve a particular business problem. But more importantly, they will know how to choose the appropriate technique, approach, algorithm, format, or data sets, from among these tools, and apply it at the right time. 

Learners from all parts of the world, except Iran, Cuba, and Crimea (Ukraine) can take the Introduction to Analytics Modelling course free of cost, courtesy of the Georgia Institute of Technology. Students will receive a verified instructor-signed certificate with the institute’s logo on it; they can share the accreditation on LinkedIn to boost their job prospects.

This is an instructor-paced course and the students can take it in two varied tracks; paid track and free audit track. In the paid track, the learners will have unlimited access to the programme and will be given a certificate of completion whereas in the audit track, they will have access only till a specified date. 

Traces of valuable data are a by-product of various actions taken by consumers, businesses, and societies. Leading companies across industries utilise these massive amounts of data to fuel an accurate decision-making process. With the Data Analytics for Business Advanced-Level course, candidates will learn how to replace guesswork and intuition with business analytics.

As candidates go through the syllabus of Data Analytics for Business certification, they will understand the scientific approach of how getting insights with the help of data has improved business decisions. The course covers the topics of issues, challenges, and methodologies relegated to business data analysis. Additionally, students will have the chance to apply proper business analytics methodologies and algorithms to business-related problems and avoid any mishaps during the process.

The Data Analytics for Business online training is a 16-week programme that requires a minimum study of around 10-12 hours every week. Georgia Tech offers this course, and the candidates will be instructed by Frederic Bien. This is an advanced-level course in the business and management domain with a provision for a verified certificate by paying a fee. This course provides two tracks for students to enrol; free audit and paid tracks. In the free audit mode, the learners will get access for only a limited period. 

In the Analytics Edge online programme, candidates will learn how to use data analytics, and how it can transform a business or an industry. Candidates will learn about various analytical methods. These include linear and logistic regression, text analytics, clustering, trees, visualisation, and optimisation. Candidates will learn how to work with data and build models with the statistical software R. 

Furthermore, the Analytics Edge course by edX, courtesy of MIT, follows the examples of Netflix, Twitter, IBM, Moneyball, e-Harmony, Watson, and the Framingham Heart Study, among others. Candidates will be instructed through short video lectures, usually between four to eight minutes each. 

To evaluate their understanding of the material, candidates will be asked a “quick question” after each video lecture in the edX Analytics Edge programme. Using new examples and data sets, the teaching assistants will go over all the methods discussed. Candidates will also be given a homework assignment each week, wherein they will have to work in LibreOffice and R with various data sets. The final exam will also be similar to the homework assignments.

The Analytics in Python course offered by Columbia University available on the edX platform is a well-structured programme equipped with course content designed by experts to enrich candidates with python programming knowledge. 

Data is an essential part of an organization and proficiency in programming is an important skill for effectively imparting knowledge and information from data. The course will help learners in developing an understanding of various topics like web scraping, web crawling, database basics, relational databases, data interchange formats of JSON and XML and text mining. Through the course, learners will gain knowledge to analyze and visualize data and will be introduced with the basics of SQL that they can apply in the programming area. 

The rapidly increasing demand for python as a programming language makes this course a one-time investment for professionals working in this field. The professionals can share the verified certificate provided towards the end of the programme in their LinkedIn profile for their professional benefits.

Jure Leskovec, Jeff Ullman, and Anand Rajaraman, professors at Stanford University, wrote the book Mining of Massive Datasets. They also happen to be the instructors for the Mining Massive Datasets programme, for which their book is the source material.

The Mining Massive Datasets certification syllabus corresponds to the CS246 programme at Stanford University. The major topics covered under the curriculum include algorithms for data streams, locality-sensitive hashing, MapReduce systems and algorithms, machine-learning algorithms, frequent itemset analysis, PageRank and web-link analysis, clustering, computational advertising, dimensionality reduction, social-network graphs, and recommendation systems.

The Mining Massive Datasets online course is a seven-week advanced computer science programme. The video lectures are in English, and you can study them in your time. English transcripts are also available to help you follow along. You need to spend anywhere between five and ten hours on the programme if you want to complete it within seven weeks. Edx has 2 tracks namely the verified track and the audit track which allows the students to finish off the course. During the verified track, the candidates will get unlimited but paid access to the course materials. In the audit track, the candidates will be getting limited but free access to the course materials.

The Introduction to Data Analytics for Managers course has been gaining popularity due to the heavy reliance on data by industries worldwide. Companies have been leveraging varied data sources such as big data to a large extent to maximize the company’s performance. The course curriculum also gives a run on the different facets of machine learning. 

The Introduction to Data Analytics for Managers certification program will carry a curriculum filled with various case studies. These will give hands-on learning about how different businesses use data analytics to their advantage. Through them, you will also understand the application of data analytics in a better way. 

The Introduction to Data Analytics for Managers online program by Edx is taught by two experienced faculties members, namely Amitabh Sinha and Sanjeev Kumar. The course is best for students who want to deep dive into the web-based graphical development environment. EdX presents this course in collaboration with the University of Michigan. There are two enrolment options for joining this programme, namely, paid and free. In the free option, the candidates can access the program only for a limited duration of time. 

Data science is one of the major industries of the world right now and it is continuously expanding through all sectors; an important one among these domains is applied Bayesian statistics. It has a wide use when it comes to data analysis and thus, constantly produces a need for fresh candidates to join the programme.

Applied Bayesian for Analytics is an Indian Institute of Management Bangalore-designed course that provides its students with all the essential insights and requirements from the Applied Bayesian for Analytics certification course. It teaches them all the founding topics of the industry, from parametrizations, and Monte Carlo methods to what difference it possesses compared to classical statistics and multilevel modelling.

Applied Bayesian for Analytics course will be mentored to the applicants in two different parts; one being the essential theoretical concepts and the other the empirical part of the domain. Through the first three weeks, applicants will attain the know-how of calculating posterior and prior aspects along with analytical skills while the latter part will give them a detailed understanding of computing Bayesian models. This online programme is a self-paced course and it can be taken by learners either in the paid mode or free mode. In the free audit mode, the candidates will be given access only for a limited period. 

The Applications of TinyML Online Course is an open online course that discusses the applications of TinyML language and its practical applications with regard to tiny or deeply embedded devices. The course is available on the HarvardX platform with the joint effort of edX and Harvard University.

The Applications of TinyML Training Course is taught over a period of 6 weeks with the help of online course materials and informative case studies. The practical-oriented course will provide students with valuable insights into one of the most accessible and fastest-growing areas of deep learning.

The Applications of TinyML Certification Syllabus is prepared in a way its beneficial for students trying to gain a professional certificate in machine learning. The course is instructed by Vijay Janapa Reddi, Professor at Harvard University, and Laurence Moroney, Lead AI Advocate at Google. EdX gives two varied modes to take the self-paced course; verified and audit mode. The verified mode requires a course fee and the candidates will get unlimited access. In the audit mode, they can access it for a limited duration. 

The Fundamentals of TinyML Training Course is an open course provided on the HarvardX platform coordinated by edX and Harvard University. The course will introduce students to the fundamentals of embedded systems and machine learning along with the core aspects of TinyML language.

The Fundamentals of TinyML Certification Syllabus will benefit students who are interested in data analysis and statistics. The course is an introductory level course that requires students to have knowledge about basic scripting techniques in Python. The course is supported by online study materials and instructed by Vijay Janapa Reddi and Laurence Moroney.

The Fundamentals of TinyML Course is taught over 5 weeks in a self-paced manner. The course focuses on the main aspects of deep learning, machine learning, and embedded devices and systems, like smartphones and other devices. Upon the successful completion of the online exams and assignments, students will receive a certificate if they choose the verified mode with the course fee. In the free mode, they can audit it for a limited period.