Data Analysis Certificate Courses

The Professional Certificate Programme in Advanced Data Analytics for Managers online course is suitable for those individuals with a keen sense of learning and building a strong career in analytics. This course specifically aims at delivering managerial insights to the participants. Topics such as Machine learning, Data visualisation, Data analytics will be covered using R. The application and usage of data analytics in business is a new phenomenon leading to the creation of new business strategies. These new business strategies will be analyzed and comprehended by the participants.

The usage of data analytics in business also has some problems. This programme seeks to ensure detailed causes and explanations of these problems with real-life case studies and practical sessions. The classes for this programme are scheduled every Saturday from 3 pm to 6 pm. The instructors and the students will meet online via the zoom platform. 

The Professional Certificate Programme in Advanced Data Analytics for Managers is verified by the Indian Institute of Management Kozhikode. The participants will be benefited from the Certificate of completion on successful completion and a participation certificate on unsuccessful completion. This certification will help working professionals gain new heights in their careers. 

Statistical analysis plays a pivotal role in social science research. In the present era, top-tier journal editors expect researchers to use a statistical and scientific approach to analyse the data gathered through primary or secondary sources. This Data Analysis for Social Science Teachers certification course will help social science teachers and researchers understand data analysis and use different software platforms to report the research results.

This 16-week Data Analysis for Social Science Teachers training by Swayam, and HRDC, University of Hyderabad, Hyderabad will introduce you to many statistical analytics methods. Techniques like regression analysis, inferential statistics, and conjoint analysis will also be touched upon. Moreover, the course will also help you master technologies like AMOS, IBM SPSS, and MS Excel, enabling you to conduct in-depth statistical research.

Data Analysis for Social Science Teachers programme also features weekly assignments for you to test your knowledge. A certificate of completion is offered at the end after you have cleared the in-person proctored exam. The programme is 100% online and is delivered through weekly online videos.

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 Applied Data Analysis online course is designed to equip learners with the fundamental skills of an effective data analyst. The course covers a wide range of topics to provide learners with a complete overview of data analysis. In the Applied Data Analysis certification by FutureLearn participants will learn how to import data from various sources, create data mashups, and prepare data for analysis.

Moving forward, learners will delve into the world of Power BI for advanced data analysis and visualisation. They will gain insights into connecting to multiple data sources, enhancing data models, exploring data, creating stunning visualisations, and sharing reports and dashboards across the web and mobile devices.

A significant part of the Applied Data Analysis certification course focuses on unpacking statistics for data analysis in Excel. Learners will understand the core principles of statistics, basic probability, random variables, confidence intervals, and hypothesis testing, which are essential skills for any data analyst.

The Data Analysis and Visualization with Microsoft Power BI certification course will equip you with in-demand data pre-processing, analysis, and visualisation skills using Power BI as the tool of choice. In this programme, you will learn to connect multiple data sources to Power BI and transform and process data with it.

With the Data Analysis and Visualization with Microsoft Power BI training, you’ll learn to employ the best design practices. Plus, you can draw insights from data visualizations and dashboards, allowing you to make critical business decisions. All you need is some elementary experience with MS Excel to make the most of this programme.

When you enrol for this 3-month Data Analysis and Visualization with Microsoft Power BI programme, you also get dedicated placement assistance services upon course completion. This includes resume support, LinkedIn profile optimisation, and Github review. You will also have access to a student community and technical mentor support throughout the course.

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

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 Data Analysis for Social Scientists certification course will introduce learners to the fundamentals of statistics, probability, and data analysis. The curriculum covers most modern data analysis techniques including estimation, prediction, regression and econometrics, experimental design, A/B testing, randomized control trials, data visualization, and machine learning. 

All these concepts are illustrated using real-world examples. Candidates will also learn how to use the statistical package R, and perform self-directed empirical analyses.

The Data Analysis for Social Scientists certification is also a prerequisite for two independent MicroMasters programs that the Massachusetts Institute of Technology (MIT) offers: MicroMasters in Data, Economics, and Development Policy (DEDP) and MicroMasters in Statistics and Data Science (SDS). 

Before you apply to the Data Analysis for Social Scientists program, you check out the course preview to go through the content, exercises, etc. Some resources are also available if you are new to these subjects or wish to jog your memory. If you score 60% or more in the course preview, it indicates that you are prepared for this course. 

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.

Python is a powerful language used in almost every domain of engineering and data science and it is easy to learn. It is one of the most popular coding languages in these times. It is also said to be high level, general purpose, object oriented and an open source programming language.  It helps the engineers to finish their coding in a very less amount of time, it does not consume much as no much manual work is required. It has become important for each programmer to understand all the versions of python. This technological world is developing with great speed where the language has evolved over many years.

This Python for Mechanical Engineers programme course is designed especially for the candidates who aim to master their knowledge level over Python and gain a fundamental grasp in their field of mechanical engineering. This will help them learn how to use the Python language effectively to perform mathematical operations along with data manipulations

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.

Data Strategy: Leveraging Data as a Competitive Advantage certification is a 2 months online programme available at the platform of UC Berkeley Executive Education. The modules in this certification are designed for helping the participants create a data strategy that is based on the faculty insights of people having years of experience in creating strategies with data for a number of esteemed organisations.

Data Strategy: Leveraging Data as a Competitive Advantage training is ideal for consultants and entrepreneurs who want to provide well-knit data solutions for their own or their client’s enterprises. This certification course also gives examples of real-world situations that can help fine-tune data strategies for an organisation. Also, apart from the certification, candidates will learn about how top-level brands have created positive results based on data technology, data management, and strategic methodologies. Finally enrolling here in the UC Berkeley programme will be the first step catering to the additional Certificate of Business Excellence.

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.

Individuals with a hybrid combination of analytical abilities and domain-specific experience are required to accelerate data-driven business choices as the amount of data available affects the way businesses function. The Data Analysis and Visualization online course by Rice University equips participants with the information and skills they need to analyze, display, and convey data insights successfully within their company.

According to the Entrepreneur report, Businesses that use big data analytics can save 10% on their overall costs. The Data Analysis and Visualization Training teaches how to use technology resources like SQL, Tableau, and VBA with the help of industry professionals. The program also teaches how to use sophisticated Excel tools, databases, and realistic statistics to grasp the basics of statistical analysis.

A Businesswire study says that by 2022, business analytics and big data are expected to generate $274.3 billion in global revenue. Data Analysis and Visualization certification course teaches how to communicate successfully with clients through data narration, using data-driven conclusions and excellent visualization approaches.

According to a World Economic Forum report, By 2025, the world will generate 463 exabytes of data every day. As the world is becoming increasingly data-driven, future leaders must have quantitative abilities to support business management strategy and decision-making. The Data Analysis for Management online course provides applicants with the practical tools and information they need to comprehend, interpret, and convey information relative to their job and organisation.

A PwC report states that 77% of CEOs want to use data-driven choices to improve operational excellence and generate revenue. The Data Analysis for Management Training, led by LSE specialist academics, helps candidates learn how data-driven frameworks may help them make sound choices in a fast-paced environment.

The Data Analysis for Management certification course encourages applicants to complete a capstone project in which they apply the tools and ideas learned to derive business insights from real-world data sets. Candidates will also get experience visualising and reporting on insights gleaned from sets of data using Tableau, a renowned data analytics and business intelligence program.

With an increasing reliance on descriptive statistics to influence decision-making, the process of extracting information from data has now become an extremely desirable skill. The Data Analysis online course by UCT begins with an introduction to data analysis foundations and the larger possibilities of statistics in commerce. The course covers a broad range of statistical approaches and is organised all over the broad outlines of various data studies: inferential, descriptive, predictive, exploratory and prescriptive.

Data analysts play an important role in assisting company executives in making informed decisions, distinguishing between efficient and inefficient practices, cutting expenses, and solving significant problems; they are thus an essential component of any successful organizational team. The Data Analysis Training involves learning how to acquire, store, organize, analyze, and interpret data.

The Data Analysis certification syllabus provides opportunities to test data analysis methods on real-world datasets. Finally, The course provides practical skills that can be implemented immediately in the organization to handle particular business demands in Sales, Finance, marketing, Human resource management and Operations management. 

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. 

Offered by IBM, the Data Analysis with Python Programme certification course is a certification programme which is conducted by one of the leading and pioneering skill-based training academy namely, Coursera. By undertaking this programme, the candidate will specialise and learn the art of analysing the data with the help of Python. During the course, the candidates will be able to master and gain knowledge on different skills namely, Data Analysis, Model Selection, Data Visualization, Python Programming and Predictive Modelling. 

The candidates will seek a detailed understanding about skills used in data analysis namely, Scipy, Numpy and Pandas libraries. This programme being a 100% online programme will give ease and convenience for professionals to pursue it. A shareable certificate will also be given in the end post successfully completing the programme. This certificate can be easily viewed, printed and shared on LinkedIn as well. Moreover, this programme Data Analysis with Python training  will act as a foundation or basis for professionals to pursue different programmes post completion of this one. 

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.