Free Data Analysis Courses & Certifications

The Computing for Data Analysis Certification Course is brought by the online learning platform of the Georgia Institute of Technology, to provide advanced-level learning in the field of Computer Science. The course is a hands-on introduction to the part of analytics, combining both the fields of computer science and mathematics. 

A candidate will strengthen the foundations of data-intensive computing and numerical related to computing through the course. The programme is aimed at the candidate to develop a new process of thought regarding basic principles related to programming that will also assist them in practising relevant topics of modern data analysis and learning data mining. The learners can pursue the programme in paid or free audit mode. The paid mode will enable the learners to have unlimited access whereas the free audit mode will provide access only for a limited period. 

The Computing for Data Analysis training also teaches the data analysis pipeline and the concepts of machine learning including the pre-processing, storage, and analysis of data and figures. With the application of basic mathematical tools like numerical linear algebra and algorithms, the students learn how to handle data-intensive computing. The verified track of the course also includes graded assignments that’ll help in polishing the analytical knowledge of the student.

The Cryptography and Network Security Certification Course offered by Swayam and the Indian Institute of Kharagpur  aims to introduce the aspirants to areas of cryptography and cryptanalysis. This programme develops a basic understanding of the algorithms used to protect users online and to understand some of the design choices behind these algorithms. Swayam’s goal is to create a workable knowledge of the mathematics used in cryptology in this course. A huge variety of basic cryptographic primitives will be discussed during the tenure along with functional encryption,  recent developments in some advanced topics like identity-based encryption, bitcoin and crypto-currency, and so on.

The Cryptography and Network Security Online Course, by Swayam, is very helpful in understanding challenges for cybersecurity that includes mobile security, cloud security, endpoint security, network security and data security. This course demands no specific qualification or educational background to learn the concepts of cryptography and network security. The course is free to enroll in and learn from. The programme instructor will be Prof. Sourav Mukhopadhyay from IIT Kharagpur. There will be industry support from Dubai (UAE), DRDO, SAG, Stratign FZE, WESSE, NTRO and ISRO available for the students. The course certification comes with the candidate's name, photograph and score in the final exam with the breakup.

The Data Analysis and Decision Making – I certification course offered by Swayam, is the first part of the three-part course (DADM-I, DADM-II, DADM-III). This programme covers Operations research and its tools with applications. For an overview, the Decision analysis and Decision making (DADM) covers three main areas which are: Operations research and its tools with applications, Multivariate statistical analysis with its applications, Other decision-making models like DEA, AHP, ANP, TOPSIS, etc. These 3 part DADM courses would be more application-oriented and practical rather than theoretical in nature. The candidates can expect industry support from the chemical industry, cement industry, steel industry, manufacturing industry, etc.

The Data Analysis and Decision Making – I Training, is an elective type of course. Which has a duration of 12 weeks. The course instructor will be Prof. Raghu Nandan Sengupta from IIT Kanpur. There is an e-certification provided to the participants, which can be accessed after registering and writing a proctored exam conducted by Swayam in person at any of the designated exam centers. This certification is intended for the learners belonging to backgrounds of Masters in Statistics/Mathematics, Masters in Operations Research/Operations Management, Masters in Business Administration, Masters in Economics, Ph.D. in related fields.

Data Analytics with Python certification course includes many compelling examples of how you can analyse data using the Python programming language. This course discusses various data analytics applications in a range of industrial sectors. Moreover, this programme also shows you how you can use data analytics in your life and boost your career opportunities.

One of the Data Analytics with Python programme’s most essential aspects is that you will receive hands-on experience by creating your own analytical models. You can also clear any doubts or engage in academic conversations in the discussion forum, which is available to all the students related to data analytics, and python. This programme involves topics like regression, probability, distributions, hypothesis testing, and many more.

The Data Analytics with Python training is offered by Swayam in partnership with IIT Roorkee. This 12-week programme is an FDP course approved by AICTE. If you want to showcase your skills and earn new employment opportunities, you can opt for the course completion certificate offered by Swayam.

Dealing With Materials Data programme is an introductory course that covers data interpretation, data analysis, and data collection.  These topics are learnt both conceptually and through a hands-on approach. The practical part of the training is undertaken using the R-programming language, an industry-standard platform for statistical and data analysis.

Dealing With Materials Data certification course falls under Metallurgy and Mining Engineering domain. It is an AICTE approved FDP training programme, which is spread over 12 weeks, providing you enough time to understand and practice the concepts taught. The programme is mentored by two erudite professors from IIT Bombay.

Aside from the video lectures, the Dealing With Materials Data online course also features weekly assignments that will give you the chance to test your knowledge and apply your skills. After completing all modules, you can also choose to appear for the final, proctored exam. Passing this exam will earn you a course completion certificate by Swayam, which you can employ to showcase your newly acquired skills.

Data Analysis & Decision Making - II Certification will cover utility theory, then the concept of multi-criteria decision making, multi-attribute decision making, utility theory, DEA (Data Envelope Analysis), AHP, ANP, and then the concepts of TOPSIS, Elektra, Mac Beth. 

Data Analysis & Decision Making - II Classes include the concepts of different types of metaheuristic techniques, without going into the mathematical details of their algorithms, and solve the problems by giving examples for each of them.

All students get a Data Analysis & Decision Making - II Certification by the Indian Institute of Technology Kanpur (IIT Kanpur) under the Swayam Initiative by the Government of India. 

The transformative 12-week Next Generation Sequencing Technologies: Data Analysis and Applications certification course explores the groundbreaking impact of NGS technologies on Bioscience, Biotechnology, and Medicine. Participants gain hands-on experience in analyzing genomic and transcriptomic data, focusing on single nucleotide polymorphisms (SNPs), indels, and the complexities of transcriptomic analysis. 

With industry support from genomics companies, the Next Generation Sequencing Technologies: Data Analysis and Applications certification by Swayam caters to students, faculty, and industry professionals, requiring a basic understanding of programming and statistics. Upon completion, participants receive 3 credit points, positioning them for success in the dynamic fields of genomics and computational biology.

Also Read: Online Data Analysis Certification Courses

In the Data for Effective Policy Making certification course, enrolled candidates will learn to use, understand and analyze information. The course will help candidates improve their decision-making process using "growth statistics" and "Caribbean data gateway" platforms, which present data and socio-economic indicators from the Caribbean region and Latin America. 

After completing the course, the applicants will gain knowledge about tools for data navigation, simulation, and interpretation of visualization. They will also understand how to apply different types of data analysis based on the policies that are implemented. The course is built on real-life experiences to help students get an easy, realistic, and enjoyable understanding of various ideas and methods. Through various useful activities, candidates will learn to apply their acquired knowledge and use graphs and data. The self-paced programme can be taken in two different enrolment options; verified and free audit. In the free mode, they audit the course for a limited period. 

The Causal Diagrams: Draw Your Assumptions Before Your Conclusions training course by edX actively points out the different methods of using causal diagrams and how they are useful in many disciplines such as statistics, epidemiology, policy evaluation, sociology, psychology, and many more. Here, the implications of causal diagrams and also their limitations are shown.

The Causal Diagrams: Draw Your Assumptions Before Your Conclusions certification syllabus comprises seven guided lessons in its first part. In the lessons taught in the Causal Diagrams: Draw Your Assumptions Before Your Conclusions certification course there will be introductions to DAGs, SWIGs; their rules, and problems, and also about confounding. Case studies about the real implications of the Causal diagrams will also be shown in the Causal Diagrams: Draw Your Assumptions Before Your Conclusions programme. There are also provisions of 90 % financial assistance for the low-income grade participants. It is a self-paced online programme. The Causal Diagrams: Draw Your Assumptions Before Your Conclusions certification course is verified by Harvard University.

The Certificate can be accessed in the verified track. The participants can share the certificate on all platforms such as Linkedin. The certificate will fetch a good career option and also better connections in Linkedin. 

There are two pathways in which enrolling in this course of edX is possible. One is the verified track, and the other is the audit mode. During the audit mode, the candidates shall have limited time access to the course, but access becomes unlimited during the verified track.

The Data Analysis with R by Udacity is a free online learning programme offered by Facebook. It focuses on exploratory data analysis. Exploratory data analysis is a method of visualising and summarising the important characteristics in a data set. It is an approach focused on exploring data to understand its underlying variables and structure. 

The course will run for two months and focus on exploratory data analysis. The Data Analysis with R syllabus will include six lessons discussing topics, such as R basics, EDA, exploring one and more variables, price predictions, and more. It has a panel of four instructors, namely Moira Burke, Solomon Messing, Chris Saden, and Dean Eckles.

You will learn from industry professionals who will instruct this intermediate programme. Furthermore, Data Analysis with R is a part of the Data Analyst Nanodegree offered by Udacity. It is an excellent course for anyone preparing to enter the field of data analysis and working towards improving their career prospects.

The Introduction to Uncertainty Analysis and Experimentation certification course will begin with fundamental subjects on the study of complexity and its applications and offer an outline of exploration. This course would learn from professional engineers, scholars, and engineering students at UG, PG, and Ph.D., from many disciplines. The course is divided into different segments as per the week's scheduled curriculum that will intellectually focus on every particular module and sub-chapter in a more comprehensive manner. 

The Introduction to Uncertainty Analysis and Experimentation training will be given more importance to promote analytical learning in the course. The subjects include the method of experimentation, measurement errors, measurement and outcome uncertainty, the transmission of uncertainty, pre-and post-test uncertainty analysis, set-up configuration uncertainty analysis, and regression and correlation. The approach would adopt the "performance test code" of ASME and the ISO "Guide to the expression of measurement uncertainty." The Introduction to Uncertainty Analysis and Experimentation certification will provide a brief structure of the field and each core segment that is essentially included in the particular major. A selection of practical applications and the use of national and international principles relating to engineering and research and their importance to education will be addressed in the programme.

Data analysis is very critical in biology and one of the key skills of biologists for academic research and industry. Data Analysis for Biologists can guide you on the possession of data analysis needed for biology practitioners. The online course is an 8-week long program with AICTE approval and recognition.  Data Analysis for Biologists Certification Course will walk you through the concepts of data analysis and its application in biology as well as the concepts of linear algebra, statistics, and the whatnot. 

Data Analysis for Biologists Certification is offered jointly by Swayam and IIT Guwahati which can be enrolled by the learners without paying any fee. However, the certificate of completion will be provided to those who sat for the exam by paying the fee. The course is meant for undergraduate and postgraduate level learners who are from the background of biology and biotechnology.

The Image Processing and Analysis for Life Scientists program have been meticulously created considering the indispensability of image-based methods for life scientists. The Image Processing and Analysis for Life Scientists certification course thoroughly explains analysis methods using all the open-source solutions, leaving the candidates with the freedom of choosing commercial solutions as per their choice and convenience. Considering the evolution of light microscopy from sketched-out raw observations from the eye to high throughput multi-channel, multi-plane, multimode and multi-position acquisitions, which produce information-rich images easily quantifiable for answerability of biological questions, the course thoroughly teaches the learners how to adapt to all the rapid changes occurring and to maintain a sustainable workflow environment. 

The Image Processing and Analysis for Life Scientists online course thoroughly teaches the candidates the good practices and typical pitfalls that exist in the field of image analysis and empowers the candidates with a rigorous first-hand experience in image analysis through its carefully designed content. The candidates can take the course in verified or audit track. The audit track is free of cost and provides a limited period of access. 

Stochastic motion is the motion of particles like that of ink in water. As opposed to the movement of celestial objects which can be calculated, this motion cannot be predicted. The Stochastic Processes: Data Analysis and Computer Simulation certification course aim to introduce candidates to stochastic processes and how to conduct data analysis on them. 

Students will first learn the fundamental theories governing stochastic processes in the training programme. Then, using Jupyter (iPython) notebook, they will learn how to do numerical simulations and perform them. They will analyse the simulation data as well. The six-week-long  Stochastic Processes online course in Physics is made for students interested in thermal motion and particle motion. 

Faculty from the reputed Kyoto university in Japan teaches this course on Stochastic Processes: Data Analysis and Computer Simulation training by edX. Throughout this course, candidates will acquire knowledge of stochastic processes and programming. This online programme is completely free of cost. edX also offers a verified certificate upon course completion.

Learn how to derive insights from the noisy observations by enrolling in the Observation Theory: Estimating the Unknown certification. In research and teaching the TU Delft’s approach is a world-leading methodology for understanding the observations. This theory can be applied in every domain where the measurements shall be used to make an estimation of the unknown parameters.

The candidates will learn how to distinguish between the parameters and come up with the quality of results in Observation Theory: Estimating the Unknown training. Playing with noisy observations is one of the key takeaways for the candidates during this time duration of the course. The participants will learn how to validate the estimations and develop a systematic approach to dealing with real-life translations. The candidates will have real-world exposure to different models.

The learning process during the course will help participants know how the study of observations can help in better solutions. In terms of precision, a standardized approach to the parameters has been considered for the candidates. Most part of the course has been covered with examples, where the candidates will have better learning. The course also offers certification after the candidates successfully complete it if they choose the verified track and pay the course fee. In the free track, the students will get access to the course for a limited duration. 

The Deploying TinyML Certification Course is an open online course that introduces students to the steps involved in implementing TinyML applications. The course will help students understand the workings of the software along with the right codes required to deploy their tiny microcontroller-based device. It is a specialized course and a mix of computer science and electrical engineering.

The Deploying TinyML Training Course is an intermediate-level course that requires learners to have basic knowledge of the Applications of TinyML and Basic Programming in C/C++. The course taught in a self-paced manner will be beneficial for students who wish to earn a professional certificate in Tiny Machine Learning.

The Deploying TinyML Online Course is taught over 5 weeks with the aid of online course materials. The course is instructed by Vijay Janapa Reddi, Professor at Harvard University and Pete Warden, Technical Lead at Google. After the completion of the online assessment process, students will get access to a certificate in the paid verified mode. In the free audit mode, they can get a limited duration of access to the self-paced course. 

Data is an integral part of every field and is relevant to a large variety of audiences. Depending on your domain, you must know how to interpret, analyse and visualise data to your advantage. Unfortunately, most of us were never taught how to do so and cannot use data wisely. The Essentials of Data Literacy online course provided by edX is an attempt to help you build your data skills to accelerate your career.

The Essentials of Data Literacy course curriculum will take you through the different stages of the data lifecycle and teach you how to manage, analyse, and communicate with data. It is a four-week-long introductory programme that falls under the Data Analysis and Statistics domain. An offering by edX, this course has been designed by Davidson College to benefit a wide audience.

You can enroll in this course for free by taking up the audit track and setting a course goal for yourself. The audit track will give you free but unlimited access whereas the verified track requires some amount to upgrade and access the course for a lifetime. Moreover, after understanding the importance of data, you can earn an Essentials of Data Literacy certificate by paying the certificate fee. 

The High-Dimensional Data Analysis Certification Course is an advanced-level data science course that deals with the features of data analysis and data interpretation. The course will introduce students to extremely challenging cases relating to data analytics and discuss the usage of high-dimensional data sets.

The High-Dimensional Data Analysis Training Course offered by the edX platform is a self-paced course taught over 4 weeks. The course is delivered through online study materials under the guidance of Rafael Irizarry and Michael Love, professors at Harvard University.

The High-Dimensional Data Analysis Certification Syllabus would be beneficial for students who are planning to expand their knowledge base in topics like data visualization and data analysis of high-throughput data. Students who are interested in gaining knowledge about machine learning and data analytics can opt for the course. EdX provides two options for learners to pursue the self-paced programme, namely, verified and audit tracks. In the verified mode, the learners can get unlimited access to the programme and a certificate of completion. In the free mode, they can audit the course only for a limited duration.