List of Online Courses and Certifications

Students will be guided by Data Science Bootcamp certification course experts through the fundamental knowledge and practical skills necessary to start a successful career in data science. Learners will study data science's foundational theory and applications in the Data Science Bootcamp training.

This course is offered by the Code Labs Academy which will provide deep learning in data analytics, machine learning, and data science to the participants. The boot camp focuses on providing students with hands-on experience with real-world datasets and industry-relevant projects, teaching participants how to extract insights, build predictive models, and make data-driven decisions.

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The essentials of SQL, including database design, querying, and data manipulation, are covered in this brief course. Participants acquire practical experience working on actual projects while learning how to build and manage databases, extract valuable insights from data using various SQL queries, and more. 

The SQL Mini Bootcamp certification course provides a brief and useful introduction to the world of SQL and database management, making it a great choice for aspiring data analysts, database administrators, and anybody else who has to interface with databases in their professional or personal endeavours. In order to set students up for further study in the areas of SQL, Data Science, or other aspects of programming, instructors will coach them through the fundamental information and practical skills that form the basis of their expertise.

With a smaller initial investment and commitment, this SQL Mini Bootcamp training offered by the Code Labs Academy has the added benefit of providing participants with a preview of what a full Data Science Bootcamp with us might be like.

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Learn the basic principles of Python, practice using it, and find out what it can do for the learners. To put students on the right track for further study in the areas of Python, Data Science, or other branches of programming, the professors will coach them through the fundamental knowledge and practical skills that form the basis of their education through the Python Mini Bootcamp certification course. 

This intense course teaches learners the essentials of Python, including its key ideas, data structures, control flow, and object-oriented programming. With a smaller initial investment and commitment, this Python Mini Bootcamp certification course by Code Labs Academy has the added benefit of providing participants with a preview of what a full Data Science Bootcamp with us might be like.

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The MATLAB-Based Programming Lab In Chemical Engineering certification course is a 12-week computer lab experience for undergraduate chemical engineering students, emphasizing practical problem-solving using MATLAB. It aims to enhance programming skills and teach students how to che problems, implement solutions, and effectively present results.

Targeting 3rd/4th-year undergraduates and faculty, the MATLAB-Based Programming Lab In Chemical Engineering certification by Swayam requires a background in fluid mechanics, reaction engineering, heat transfer, and mass transfer. It is considered a fundamental part of the curriculum, providing 3 credit points upon completion.

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The Probability And Statistics certification course explores statistics and probability with broad applicability across disciplines, including physical sciences, engineering, economics, and social sciences. The course covers essential statistical reasoning and methodology. It strikes a balance between providing a solid conceptual understanding and delving into advanced theoretical aspects.

The Probability And Statistics certification by Swayam is industry-relevant, particularly for those aspiring to work in business analytics, banking, finance, insurance, machine learning, and data mining. By combining theoretical knowledge with practical application through examples and problem-solving, students gain indispensable skills for various career paths.

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The Statistical Learning For Reliability Analysis certification course is a comprehensive exploration of techniques aimed at deriving meaningful insights from data. Covering topics such as machine learning, hypothesis testing, and variance analysis, it caters to students from diverse backgrounds like Computer Science, Engineering, and more.

The Statistical Learning For Reliability Analysis certification by Swayam provides a solid foundation in statistical learning methodologies. Students gain valuable skills applicable across academia and industry, meeting the demands of IT companies. Upon completion, learners are well-equipped to tackle real-world data analysis challenges and contribute effectively to data-driven decision-making processes in various sectors.

The Numerical Analysis certification course is a 12-week duration programme. The prerequisite for this certification course is the knowledge of fundamentals of Calculus. The certification course covers a comprehensive curriculum that covers introduction, motivation, mathematical preliminaries, polynomial approximation, numerical differentiation derivation of differentiation formulas with an order of accuracy and Mathematical Theory of ODE.  

Students will gain in-depth knowledge of theory and application of numerical methods or techniques from the Numerical Analysis certification by NPTEL. The students will gain hands-on training with the support of leading industrial experts. They will also gain a deep understanding of the predictor-corrector methods, solution of nonlinear equations and solution of linear systems mathematical preliminaries. 

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The duration of the Integral Transforms And Their Applications certification course is 12 weeks. The course provides an introduction to the theory and applications of integral transforms to problems in Linear Differential Equations. The students will also get to learn the new applications in Applied Mathematics, Physics, Chemistry, Biology, and Engineering. 

The students must know Ordinary Differential Equations (ODEs) and if they also know Complex variables will be an added advantage but not a compulsion. The Integral Transforms And Their Applications certification by NPTEL provides a comprehensive curriculum that includes basic concepts of integral transforms, applications of Fourier Transforms to solutions of ODEs. 

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The Matrix Computation and its Applications certification course is a 12-week duration programme. To join this certification course the students must have a basic knowledge of matrix theory. The course provides a comprehensive curriculum to the candidates such as an introduction to binary operations, vector spaces, subspaces, and linearly independent and dependent vectors.

 The Matrix Computation and its Applications certification by NPTEL is designed for undergraduate and postgraduate students. The certification course focuses on applications of matrices in various areas of engineering and science. Students gain hands-on experience and will be able to apply the learned concepts in real-world scenarios with the support of leading industry experts from IIT Delhi.

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The duration of the Introduction to Probability Theory and Statistics certification course is 12 weeks. The prerequisite for this course is the students must have a basic course on Linear Algebra and Calculus. The course curriculum covers a wide range of topics related to concepts of probability theory and statistics.

 This certification course is a core type and is designed for Undergraduate and Postgraduate students. The Introduction to Probability Theory and Statistics certification by NPTEL equips the candidates with essential skills and knowledge to apply the learned concepts for handling various real-world problems. Students will gain hands-on experience with the support of industry experts.

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The Supply Chain Digitization certification course is a 12-week online programme that provides students with the details of technology and logistics. Students will gain a deep understanding of key concepts including blockchain and their applications in optimising supply chain processes through the Supply Chain Digitization Certification by NPTEL.

The online course provides students with a holistic view of supply chain digitization, empowering professionals to lead transformative initiatives within their organisations. Supply Chain Digitization training offers a valuable opportunity to acquire in-demand skills and stay competitive in today's rapidly evolving business landscape.

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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. 

Big Data Analytics is an online programme available on edX that falls under the subject of Computer Science. The programme is designed and administered by AdelaideX, which is the massive open online course (MOOC) platform of the University of Adelaide providing free online courses to students worldwide. 

The Big Data Analytics Certification is designed to train the participants on major tools and techniques to come up with important business information and make business decisions by storing, processing, and analysing large-scale data such as R and Apache Spark. By joining the Big Data Analytics Certification by AdelaideX offered by edX, the participants will develop the potential to creatively approach the major issues and challenges of data science. 

The Big Data Analytics Certification Syllabus will help the students build a detailed understanding of big data analytics, cloud-based big data analysis, predictive analytics, etc, and sharpen their programming and mathematical skills. There are two modes to take the self-paced programme; verified and audit-free modes. In the free mode, the learners will get only limited duration and in the verified track, they can get unlimited access and a certificate of completion. 

The Business Research Methods certification programme is perfect for students in the field of commerce or business management or students wanting to pursue the field of research management. 

The online course provides fundamental insights into different areas of research such as types and criteria of good research, scientific approach to research, the process of research, ethical problems in business research, and preparation of research proposals. Additionally, the programme also covers primary topics like research design, data collection methods, report writing and data analysis. 

The Business Research Methods online programme by Swayam is taught by Dr G Parameshwari, with 18 years of experience and who has presented research papers in national and international seminars. 

The course is equipped with various assignments and assessments to learn in an application-oriented way. Furthermore, it helps the candidates to understand the current intricacies of research and allows them to strengthen the competencies of a research analyst in the industry.  

Computer vision is a rapidly growing field with applications in a wide range of industries. The Computer Vision certification by Carnegie Mellon University's School of Computer Science is a 10-week long online certification course that provides a comprehensive introduction to the theory and algorithms used in computer vision systems. Emeritus along with CMU is providing this course. Computer Vision covers a wide range of topics, including image detection, recognition and processing, 3D reasoning, and video analysis. It also provides insights into the real-world uses of computer vision technology.

The Computer Vision certification is ideal for technology professionals who want to learn more about computer vision and how it can be used in their work. It is also a good fit for machine learning engineers who want to gain hands-on experience with computer vision tools and techniques. 

The Computer Vision certification course requires knowledge of multivariable calculus, linear algebra, probability, and statistics, as well as Python programming. This course is taught by leading experts in the field of computer vision. Additionally, the course includes a capstone project that allows students to apply their skills to real-world problems.

Deep learning is a powerful technology that is being used to solve problems in many different areas. Deep Learning is a 10-week-long online certification course which is brought to you by Carnegie Mellon University’s School of Computer Science Executive and Professional Education along with the online education provider Emeritus. This online course will teach you the basics of deep learning and how to apply it to real-world problems. With the help of this course, you will be able to understand how neural networks operate, identify the right architecture for your needs, and generate and refine deep learning models.

The Deep Learning certification by Carnegie Mellon University’s School of Computer Science will teach you the basics of deep learning and how to apply it to real-world problems. You will learn about different neural network architectures, including CNNs and RNNs. You will also learn about the concepts necessary to solve time-based problems.

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The Healthcare Analytics certification course is a 9-week online course. It is designed for individuals seeking to advance their careers in the fields of health, information, and digital technology. The Healthcare Analytics certification by the University of California, Irvine aims to build evidence-based analytical skills in students so that they can apply, support, and maintain advanced healthcare informatics and digital technology systems. The Healthcare Analytics certification syllabus consists of eight modules teaching participants about health informatics and advanced analytics. 

By pursuing the Healthcare Analytics online course, participants will be able to discover data sources and assets and data acquisition and management while devising digital health strategies. They will also be able to build data mining applications for healthcare and view, assess and execute IT solutions for the provision of health services. Other topics that will be discussed in the Healthcare Analytics certification course include population health management, digital health, telehealth, security and privacy, data governance, and more.

Business Intelligence using Power BI online certification is designed by Board Infinity, an online educational platform for job seekers and students that would assist them in setting realistic objectives and achieving their full potential. The Business Intelligence using Power BI online course by Board Infinity focuses on teaching the fundamentals of Microsoft Power BI and discusses the principles and strategies used to graphically analyze data.

Business Intelligence using Power BI online classes includes more than 20 hours of extensive video-based learning resources, which seek to explore a variety of Power BI functionalities such as Power BI visuals and Power Query for various business intelligence operations. This course also covers data visualization, data modeling, data analysis, and data analysis expressions (DAX), among other data science topics. By the end of this course, learners will have learned the fundamentals of dashboards and will be able to design several dashboards.

The Accounting Data Analytics with Python Programme by Coursera has been developed for the candidates who are looking to build proficiency in the Python language, especially for business intelligence and analytics. Provided in partnership with the University of Illinois, the programme aims to utilize Python’s robust computational capabilities and libraries. It focuses heavily on working with multiple domains of accounting data, be it EDGAR financial statement data, stock data, or point-of-sale data.  

The Coursera Accounting Data Analytics with Python Training covers fundamental Python programming skills like functions, conditional statements, loops, and mathematical operators. Moreover, since the course is a part of UIUC’s Master of Business Administration Degree, a greater emphasis is placed on data visualization and presentation. Furthermore, certification training also covers data structuring and manipulation, along with Python and SQL integration.

Lastly, the Accounting Data Analytics with Python Training Course is a 100 percent online learning experience that allows you to learn and train at your convenience. Along with the video lectures, you will have a collection of reading material carefully curated by Coursera at your disposal. Upon course completion, you will receive an industry revered Coursera Certificate.

If you love numbers, are curious to learn to code, and possess strong communication skills, then a career as a data analyst is for you! Since the world is increasingly becoming data-driven and data is useless without the skill to analyse it, the demand for data analysts is soaring. 

Ironhack’s Data Analytics course covers all core concepts of data analytics within a span of 9 weeks if pursued full-time and 24 weeks if pursued part-time. Conducted by industry-best instructors, this in-person training programme can help you start a career as a data analyst even if you do not have previous IT experience. 

The Data Analytics course syllabus is divided into 3 Modules + 60 hours of online learning material as pre-work that will help you become familiar with the course content. The course will be taken in four languages, and at the end of the course, your final project will determine whether you qualify for an interview in the Hiring Week. 

PL-300 - Microsoft Power BI Data Analyst Certification Training is a 9-week online programme. It provides students with expertise in data modeling, data transformations, optimizing queries for better performance, and interactive dashboard creation. PL-300 - Microsoft Power BI Data Analyst Certification Training by Great Learning also equips students with Power BI for data analysis and advanced visual representations.

The online PL-300 - Microsoft Power BI Data Analyst Certification Training is delivered through live virtual classes with Microsoft Certified Trainers. This online certification course comes with an exam preparation guide and hands-on projects. After completing the course, participants will gain a certificate from Microsoft and Great Learning.

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The Introduction to Data Analytics certification course is an 8-week duration programme. The prerequisite for this course is students must be familiar with high-school-level linear algebra, and calculus. They must also know probability theory, statistics, and programming. The certification course offers an extensive curriculum that covers descriptive statistics, inferential statistics, regression, ANOVA, and machine learning.

The Introduction to Data Analytics certification by NPTEL provides an in-depth understanding of elements that will help in making the physical well-being and athletic prowess of individuals. The certification course helps students to get equipped with the required knowledge and skills to function effectively in the field. 

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The course Business Analytics For Strategic Decisions by Emeritus focuses on mentoring the candidates to develop an understanding of business analytics and help professionals in analysing the organisational data for making elaborative choices. The course will work on developing the candidate’s skills in analysing strategic data for an advanced and competitive advantage in the business sector.

This course will elaborate on the fundamental techniques of building and applying functional business analysis strategies which are the key component of finding and amending errors in matters related to analytics. The course will train the candidates in developing an analytical mindset while assisting them in enhancing their data evaluation methods.

Candidates will gain insights on AI that is artificial intelligence techniques and functioning along with learning the tactics of handling large application data. The course will emphasise delivering important knowledge of business analytics like privacy and security of data sets through protective models used in business forecasting for predicting causal analytics.

Today business leaders know that to stay ahead of the curve, analytics is key. Industry verticals are leveraging data-driven decisions to drive greater agility and enable stronger business cases. As a business professional, if you are looking to develop your data fluency, enroll in the Business Analytics for Leaders - From Data to Decisions course on Emeritus. 

The two-month-long training familiarises you with how AI intersects with data analytics. You need to devote 4-6 hours weekly to complete the course. Besides, in this Business Analytics for Leaders programme, you learn with the help of live sessions, real-world case studies, hands-on activities, byte-sized learning techniques, and peer learning discussions. 

With the Business Analytics for Leaders syllabus, you will explore business analytics, descriptive analytics, unsupervised learning, predictive analytics, data visualisation, prescriptive learning, etc. Furthermore, you also work on a capstone project to use an AI-centric operating model to solve a real-world business problem.

UC Berkeley Executive Education awards you with a verified e-certificate for attending the Business Analytics for Leaders training as the course ends. The programme is well suited for mid-to-senior-level managers, business heads, senior executives, consultants, data analytics, and technology professionals.

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.

Designed to make you a pro at Structured Query Language (SQL), the SQL Nanodegree Programme by Udacity offers an in-depth training which will help you in learning the execution of core SQL commands to access, manipulate, control, and join data and data tables. Introduction to the language also includes tutorials on how to optimise SQL queries, clean data, and write select advanced JOINs for enhancing analysis performance.

With a primary focus on providing an immersive learning experience, the SQL course nourishes your skills in leveraging the power of SQL commands and functions, data cleaning methodologies for joining, aggregating, and cleaning tables. Candidates will get an insight into how to perform analysis on data stored in the relational and non-relational database systems to boost strategic decision-making.

Choosing the SQL Nanodegree Programme will make you proficient in determination, creation and execution of SQL and NoSQL queries that might manipulate and dissect large scale datasets. You will also learn to apply relational database management techniques that normalize data schemes and build supporting data structures for social news aggregators.

Certificate Programme in AWS Foundation and Architecture aims to train and certify on a widely used Cloud platform called Amazon Web Service (AWS). This is the only programme in the industry to offer lab experience for every task performed by AWS. Cloud Computing gives a lot of opportunities to both freshers and professionals who are already working in the industry.

While pursuing a Certificate Programme in AWS Foundation and Architecture course online, aspirants will get a chance to attend 12+ hours of live webinars for concept explanation and implementation through lab practice and assignments. There will be 2 mini projects on the AWS platform. Aspirants can earn an AWS badge on the Cloud Literacy programme for going through rigorous training on AWS official courseware. 30+ hands-on exercises will be there to perform important tasks on cloud platforms to get a real-time experience of working in a cloud environment. 

Aspirants will get access to AWS to educate the job portal. There will be credits of USD 75 on AWS education to perform hands-on public cloud environments. To do projects and assignments, the ‘Classroom’ platform feature from AWS education will be available. In the form of meetups and webinars aspirants will get industry interactions. Aspirants will get a key understanding of private cloud and public cloud platforms.

The Data Analyst Nanodegree Programme by Udacity has been designed to help you advance and refine your programming skills and to acquire the ability to work with messy and complex datasets. The programme curriculum covers Python and associated data analysis libraries such as NumPy. You will be working on multiple projects that will enable you to have an impressive experience portfolio.

Furthermore, the Udacity Data Analyst Course is crafted, keeping the interest and convenience of the students in mind. Thus, the self-paced learning course allows you to learn your convenience. You get access to a custom learning plan. The course allows you to master skills that are high in demand across several job profiles. This Nanodegree programme will help you climb the ladder of a successful career much faster. 

The Online Data Analyst Training by Udacity teaches you to prepare and manipulate data for analysis. Also, you will learn how to visualise and use your skills in data to tell a story.

The course on Python for Managers (Online) by Columbia Business School will allow the applicants to learn from the experts of the industry. The course over a period of two months will teach the Python Fundamentals, Intro to Pandas in Python, Applying APIs and Web Scraping, Analyzing Data with Python,  APIs, and Web Scraping with Python. The classes for the Python for Managers (Online) course will be held on the digital platform. To make things more beneficial, students will be provided with a flexible payment method. The certificate for the course will be offered by  Columbia Business School. In the course, the students will study the fundamentals that are involved in Python coding. They will further learn to combine multiple data sources for better insights into the real-world working mechanisms. Thus, upon completion of the course, students will get better career opportunities.

The Clinical Data Management Training certification course duration is 2 months. The programme focuses on providing in-depth knowledge of clinical data management, process flow, and CDM systems. The course is designed for the Life Science, Pharmacy, Medical Graduates and Post Graduates (including B.D.S, B.A.M.S, B.H.M.S, B.P.T). 

The course offers a comprehensive curriculum, real-time exposure using practical projects, and potential industry collaborations. The Clinical Data Management Training certification by BCRI provides internship opportunities to the students for two months after pursuing the course to enhance existing theoretical knowledge and improve their skills. It also provides 100% placement support at the end of the course.

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