List of Online Courses and Certifications

The process or technique of optimization is used to identify the most effective solution. Following the requirement, it may have a minimum or maximum value. Statistical and Optimization Techniques for Data Science online certification is created by Jain University and delivered by Online Jain for individuals who are looking for an extended training program that could assist them in mastering the knowledge of the methodologies associated with optimization techniques and statistical techniques for data science operations.

Statistical and Optimization Techniques for Data Science online classes is a 3-month training program that aims to provide individuals with a thorough understanding of statistical and operations research techniques and their applications in streamlining business procedures and enhancing their capacity for decision-making. With Statistical and Optimization Techniques for Data Science online training, individuals will also learn about linear programming, data visualization, data analytics, prescriptive analysis, variance analysis, chi-square analysis, information systems, assignment models, transportation models, Microsoft Office Suite, and more.

Natural Language Processing (NLP) and Machine Learning (ML), are transforming and re-shaping businesses and job functions worldwide. Most industries are already being disrupted by ML and the automation of business processes. These include Manufacturing, Healthcare, IT, Fintech, and the Service industry. This is why now more than ever, you need courses like the Certificate Program in Machine Learning and Natural Language Processing Using Python by IMT Nagpur.

Take the Machine Learning and Natural Language Processing Using Python certification course to learn the useful tool - NLP. It is a tool for transforming unstructured data, including text, images, and videos, into meaningful information to facilitate decision-making. Application areas of NLP include chatbots, language translation services, and systems for answering questions.

The Machine Learning and Natural Language Processing Using Python online training are three months long with live online classes held every weekend. Learners will receive a schedule for the same in due course. The course curriculum houses real-world case studies and examples for a deeper understanding of the concepts.

With the efflux of time, data-driven decision-making is slowly becoming the need of the hour. This Data Visualization Nanodegree training course is meant to help your communication become more effective. This course will teach all the skills required to present data aesthetically in the form of stories.

Furthermore, the course material has been co-created with the help of Tableau, keeping in mind the requirements of data communications. You will learn the basics of Data Visualisation, create dashboards, and participate in storytelling using data presentation. The combination of your hard and soft skills will teach you the techniques to keep your audience engaged.

The Udacity Data Visualization online course is appropriate for anybody with an interest and experience in data analytics. Additionally, you will have to submit projects that test your problem-solving capabilities using real-world instances. There will also be mentors and coaches to help you create your resume, land interviews, and negotiate job offers.

Python is a powerful, fully accessible, interpreted language that offers a fantastic method for programming objects. Python language is one of the best languages for data scientists to utilize for a variety of applications and projects. Python for Data Science certification course is developed by Jain University and is made available by Online Jain to offer applicants the opportunity to obtain top-notch training in Python if they are unable to physically attend the university.

Python for Data Science online training provides a hands-on understanding of the fundamental concepts and capabilities of the Python framework and language. The Python for Data Science online course covers topics like object-oriented programming, exploratory data analysis, data structures, inheritance, and data visualization as well as aims to help applicants learn the syntax and semantics of Python, how to use Python flow control and functions, and how to handle strings and file systems.

Spreadsheet models are excel-based frameworks that describe and break down processes to help with management and understanding. They are typically workbooks or file systems that enable the application of scientific techniques and domain expertise to put real-life data into perspective. Spreadsheet Modelling online certification is created by Jain University and is offered by Online Jain for individuals who want to learn the fundamentals of frequently used statistical tools in processing quantitative data and making quantitative business decisions.

Spreadsheet Modelling online classes introduce individuals to Microsoft Excel, which can store data, visualize and analyze it, and then help them automate it. Individuals enrolled in the Spreadsheet Modelling online course will learn about topics such as database operations, database manipulation, investment analysis, sensitivity analysis, spreadsheet design, spreadsheet models, auditing, charts, and dashboards, as well as techniques associated with spreadsheet modeling for accounting, statistics, management science, and economics.

The Express Bootcamp for Data Engineering certification course is a 3-4 months online course. Offered by Board Infinity, this course on data engineering will be good for all the candidates in the beginner, and intermediate stages. The classes are offered only online modes with live sessions of training using other means like case studies, different activities, and quizzes. 

The Express Bootcamp for Data Engineering training also offers different Bootcamp sessions for honing the skills in data engineering that can make the students job-ready. The live classes are usually taken care of by the experts in the industry in a span of just a few months. The Bootcamp sessions are designed with the aim of giving hands-on experience in Big Data Hadoop, Python Programming, SQL, and AWS.

The Certified AI Professional course is designed to prepare candidates to solve problems in real-world scenarios with the help of Artificial Intelligence, provided to candidates by the National Institute of Electronics and Information Technology, Calicut. This course explains how to formulate Artificial Intelligence (AI) problems and solve them successfully with the help of raw data collected from various domains.

The Certified AI Professional by NIEIT Calicut describes how basic data analysis is done alongside machine learning development methods taught to the candidates with the unstructured & structured data. This course teaches how to make correct predictions and improve AI decision-making skills with the inclusion of images, videos, and texts using natural language processing and deep learning.

This program covers linux basics, data visualization, probability, and statistical methods, all of which enhance the candidate’s AI processes. The Certified AI Professional course also deals with reinforcement study methods, artificial neural networks, and applications of the same in Artificial Intelligence.

In the Data Science: Data-Driven Decision Making course, you will engage in practical programming in R language to learn the procedure of harvesting, tidying, and wrangling data. Through the Data Science certificate course, you will also learn how to apply statistical models to simulate complicated functions that solve a wide range of problems.

Moreover, the Data Science course by FutureLearn is offered by Monash University of Melbourne, Australia. In the Data Science: Data-Driven Decision Making certification course , you will learn to establish useful data visualisations for decision-making, and conveying your messages to other people by utilising the grammar of graphics and principles of cognitive perception.

The Data Science: Data-Driven Decision Making microcredential complies with the standards of ‘Common Microcredential Framework’. Thus, you will learn how valuable data is when it becomes the basis to act or make an important decision in the real world. 

Besides, the Data Science: Data-Driven Decision Making online certificate course will inform you about the imperative legal, organisational, and ethical issues of data management and collection as well. 

The Reliable Google Cloud Infrastructure: Design and Process course by Coursera has been conceptualized for learners who wish to get an insight into the process of building highly effective and reliable business solutions and start out their career in that direction. The course is a part of multiple programmes such as Cloud architecture with SRE and DevOps Engineer with Google Cloud Professional Certificate, Architecting with Google Compute Engine Specialization and Google Cloud Professional Certificate.

Coursera ensures to deliver the programmes only via world-class instructors hailing from companies and universities worldwide. The course programme is ensured to be delivered via interactive methodologies such as community discussion forums, projects, exercises, quizzes and video lectures. The course is delivered via labs, design activities and presentations. It will enable the participants to design highly reliable, secure and cost-effective Google Cloud deployments while balancing the business and technical requirements. The course gives direct experience with the technologies covered in Architecting with Google Kubernetes Engine courses or Architecting with Google Compute Engine. It will equip the participants to develop efficient and reliable solutions with the help of design patterns available on Google Cloud.

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.

Also Read: Online Deep Learning with Python Certification Courses

Introduction to Accounting Data Analytics and Visualization is an online course designed for beginner-level students. The online programme is meant to help the accounting students to have analytical skills and equip them with the capacity to manage the data analytic programming languages such as R, Python and whatnot. Introduction to Accounting Data Analytics and Visualization Certification Syllabus will explore various aspects of financial accounting and analytics including data assembling, the process of big data analysis using Excel and Tableau and many more. 

Introduction to Accounting Data Analytics and Visualization Certification Course, the online programme by Coursera, is offered by the University of Illinois at Urbana-Champaign. It is the first course in the four Accounting Data Analytics Specialization courses. After the completion of the Introduction to Accounting Data Analytics and Visualization Certification by Coursera, the learners will be provided with a certificate of completion after making the payment of the fee prescribed by Coursera. 

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.

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.

Today's world is rapidly transferring into digital space, where one will find large amounts of data being stored by all types of businesses and organisations irrespective of their size. It has become easy to create smart storage space for this data without spending much only because of the technological advancements. 

It has become extremely important for companies to systematically store the data and use it wisely. Here the need of a data engineer comes. To meet up to the expectations and stand out to be chosen by a good company one has to sharpen their skills, so here comes ‘Nano programme in Data engineering’ by ‘Udacity’ in collaboration with ‘Insight’. A wonderful platform where one can build their skills and beat the competition prevailing in the industry.

The Data Science for Business Leaders course by Udacity imparts knowledge to the candidates in various techniques and technologies in data sciences field that would help them to improve their decision-making skills in a technical or IT environment. Data Science for Business Leaders training starts by providing an introduction to Data Science and talks about human capital in data science and business cases in Data science. Concepts in Machine learning are also taught in brief.

This Data Science for Business Leaders syllabus covers concepts like area, types of model, approach, and strategies that involve launching data science projects. Project works are provided and the candidate has to figure the cost, complexity, risk, likelihood and importance of that project. Participants would be able to identify the strengths and weaknesses of business data by taking Data Science for Business Leaders classes . 

The management strategies that are involved in the successful completion of a project are also discussed. Data Science for Business Leaders certification will help the candidate to know about data scientists and what is possible through data science.

In the Data Analytics Certification certificate course by IIM Amritsar, the students will gain extensive knowledge about Data Analytics and how it is applied in different fields. There are various tools and formulas to enhance your problem-solving abilities. This course provides the students with the capabilities to understand the needs of the organizations as well as the customers. 

Introduction to Data Analytics Certification explains every model and method with super clarity with the help of the different formulae and functions in excel. You are also going to know how to prepare the pivot tables and charts in excel. These functions are very much necessary in modern business activities, and hence they want to hire more professionals with a professional degree in this field. The two monthly certification programmes will make you learn the analytical concepts in an elaborate manner.

Introduction to Data Analytics Certification Course makes you aware of Data Analytics, the places where you can use it, and the practical implementation of every tool and technique. The direct lectures from the experts of IIM are a bonus in this regard. Data Analytics Certification certificate course by IIM Amritsar is an entirely online program with two months duration. 

Big data is the enormous amount of data that organizations have access to as a result of its scale and complexity, which makes it difficult for many analytics tools to handle or evaluate. The amount of data acquired, the frequency at which it is made available to an organization for evaluation, and the complexity or variety of that data can all be aided by tools for big data. The Google Cloud Big Data and Machine Learning Fundamentals online certification was created by Google Cloud and is taught by Google Cloud Training, which is provided through Coursera.

Google Cloud Big Data and Machine Learning Fundamentals online classes introduce the learners to the methods associated with big data and machine learning services on Google Cloud and products that enable the data-to-AI lifecycles. The Google Cloud Big Data and Machine Learning Fundamentals online course covers the steps, difficulties, and advantages of establishing a big data infrastructure and machine learning models using functionalities of Vertex AI on Google Cloud as well as the characteristics of tools like Qwiklabs, Apache Beam, AutoML, TensorFlow, BigQuery, and others.

The most important aspect of the business is Statistics. The Statistics for Business - II is designed by professionals which covers various topics and strategies of Business Statistics.

This course focuses on probability which is useful to follow a specified data distribution. Students represent real-life events using variables such as Normal, Binomial, and Poisson. They learn how to counterfeit data that is distributed using these variables. The duration of the course is 7 weeks which is divided into 2-4 hours per week. After the completion of the course, edX provides a certificate of completion. It is a self-paced course that lets the students study at their own comfortable pace. EdX brings this course in association with IIM Bangalore which is one of the most prestigious institutions in India. It is a bilingual course such that it teaches in both English and Hindi. It also provides video transcripts in both English and Hindi so that students won’t face any difficulty in following the lectures. 

Overall, this course nurtures the students and transform them into professionals in Business Statistics.  

Candidates will learn about the implementation of abstract data structures using C++ (object-oriented programming language) and map abstract data types to the Standard Template Library (STL) of C++. The programme conducted in a self-paced mode introduces candidates with types of data structures, their applications, running times, and many more. 

Implementation of Data Structures Certification Course is a 6-week programme that will teach students about writing correct and efficient data structures manipulation using C++. The programme is efficient to teach candidates about various data structure concepts like lists, vectors, deques, programming techniques like tree exploration, sorting using stacks and queues, and many more. Candidates who are having an interest in learning how data structures allow efficient interfaces to certain forms of data access then this programme is for them. 

The Python with Data Science and Machine Learning certification course will help you master the core concepts of Python's programming language. It will deep dive into how Python can work on various data structures. The course will also teach the candidates how to use data to plot graphs.

The Python with Data Science and Machine Learning certification programme also gives an insight into one of the modern concepts of the digital revolution, Machine Learning. The course will cover the theoretical framework of various machine learning models and how to apply them efficiently and help to learn the core concepts in practice. 

Besides, the Python with Data Science and Machine Learning online programme by NIELIT Chandigarh is perfect to learn about the upcoming industrial trends in Data Science and Machine Learning, which will equip you with the knowledge to get better career opportunities. The course is taught by an experienced faculty and will be an immersive learning experience. 

Coursera offers the Functional Programming Principles in Scala online course in association with EPFL (École Polytechnique Fédérale de Lausanne) which is a renowned research university in Lausanne, Switzerland. The instructor for this course is Professor Martin Odersky, who has devoted most of his career to programming languages. Learn from Prof. Martin and get the best educational experience in the field of functional programming.

The Functional Programming Principles in Scala course has modules spread out over 6 weeks; the course can be completed in approximately 45 hours. Discover the components of functional programming style with this comprehensive curriculum and apply them practically. 

Besides, the Functional Programming Principles in Scala certification course also promotes interaction and improvement of one’s core abilities in a fun and relaxed way. Enjoy intermittent programming assignments to get a grip on the practical aspect of the course. Coursera will award you a certificate upon successful completion of this course, allowing you to share your skills and specialization.

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 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. 

Aspirants learn the three core concepts of Machine Learning- advanced algorithms, high-speed computation, and extracting quality data by taking up the Online Certification course in Data Science and Machine Learning. The National Institute of Electronics and Information Technology, Chennai, is providing the programme. It is aimed to develop the skills required for Machine Learning Technologies by using Python for data analysis, design visualisations, and problem-solving ML algorithms. 

The online Online Certification course in Data Science and Machine Learning classes is spread across six weeks. It will teach automation techniques for smoother transitions in everyday life across five learning modules. NIELIT’s Data Science and Machine Learning certification programme includes case studies and projects that are updated with industrial innovations. A certificate becomes available to the candidate on completion of the Online Certification course in Data Science and Machine Learning.

Mr Ripunjay Singh will be the instructor on the Data Science and Machine Learning programme by NIELIT. It requires candidates to dedicate one hour of learning on the weekdays from 5 PM to 6 PM. The Online Certification course in Data Science and Machine Learning programme is packed with mini assignments and projects with analytics, data science, python programming, statistical learning, and machine learning.

The course of inferring causal effects from the observational data offered by the platform of Coursera is free of cost course. The enrolled candidate can get a certificate for this course after paying a fixed amount according to the guidelines of the Coursera platform. The duration for this course is 5 weeks. This course is taught under the guidance of experts from the University of Pennsylvania. The E-certificate is available after the completion of this course.

The enrolled candidates will be provided with all the quizzes, assignments, video lectures, web links for books and references. As this course is free of cost and online, it is easily accessible for all the sections of society. Financial aid is also provided. The course of inferring causal effects from the observational data is highly recommended for all the students, teachers and researchers who are interested in this field. Financial aid is also available for all learners who cannot afford the fee. Total 33 percent of people started a new career after completing this course and 29 percent of them got career benefits after pursuing this course.

The How to Win a Data Science Competition: Learn from Top Kagglers online course is a part of Coursera’s Advanced Machine Learning Specialisation. It is a course in the Data Analysis domain and undertaking this course will help you push your limits, and boost your career in data science. 

The Coursera How to Win a Data Science Competition Course is not a basic machine learning programme. It trains you to get a head-up on your competitors and get high-rank solutions. It gives you a better understanding of practical applications of machine learning methods. 

How to Win a Data Science Competition: Learn from Top Kagglers certification course has a plethora of expert professors and research data scientists who will teach you for the duration of this course. It is offered by the National Research University Higher School of Economics which is one of the top research universities in Russia. You will earn a shareable certificate upon completion, and you can share your skills in data science. 

The University of Alberta and Alberta Machine Intelligence Institute offer the Sample-based Learning Methods training programme in conjunction with Coursera. An intermediate-level course, the programme is spread across four weeks, with intensive modules on reinforcement learning. The course will also help you understand how learning from experience can help you attain optimal behaviour. 

The Sample-based Learning Methods certification course will help you understand concepts like Temporal Difference learning, Monte Carlo strategy, exploration, dynamic programming, and more. Moreover, the certification course will provide you with a chance to apply TD algorithms, Expected Sarsa, Q-learning, and more.

Instructors will conclude the Sample-based Learning Methods online course by looking at how algorithms can combine model-based planning and temporal difference updates to fast-track learning. Additionally, the certification course offers the flexibility to learn at your own pace in your own time and set your own deadlines. 

You will also receive a combined shareable certificate from the University of Alberta and Coursera, upon completion of the Sample-based Learning Methods course.

The Deep Learning in Computer Vision online course by Coursera is focused on introducing learners to computer vision, right from the basics. Eventually, the certification course moves to deep learning models which are more modern. Image, as well as video recognition, is a primary part of the programme. The comprehensive curriculum will cover image annotation and classification, motion estimation, human action recognition, and more.

Moreover, Deep Learning in Computer Vision programme is the fifth course in the Advanced Machine Learning Specialization. The National Research University Higher School of Economics offers an online course in association with Coursera. The Deep Learning in Computer Vision certification course is an advanced-level course with a self-paced learning option. You will also work on a final project to implement their learnings. 

In the course project for the Deep Learning in Computer Vision course, you will learn to build face recognition and manipulation systems. This project will help you get an idea about the internal mechanics of this technology. The online course also includes a shareable certificate which you will receive from Coursera upon successful completion. 

The term ETL describes a set of procedures used to extract data from one system, change it, and load it into a target network. A more general name for any group of operations that transfer data from one system to another, possibly transforming it along the way, is a data pipeline. ETL and Data Pipelines with Shell, Airflow, and Kafka certification course is developed by IBM Skills Network and taught by Yan Luo - Ph.D., Data Scientist & Developer, Jeff Grossman - Certified Instructor, Sabrina Spillner - Senior Instructional Designer & Content Developer, and Ramesh Sannareddy - Data Engineering Expert, which is made available by Coursera. 

ETL and Data Pipelines with Shell, Airflow, and Kafka online training is designed to help the students gain an understanding of the two different approaches to converting raw data into analytics-ready data including the ETL process and ELT process. ETL and Data Pipelines with Shell, Airflow, and Kafka online course explains the differences between ELT and ETL processing, identifies instances for each, and goes over the procedures and tools needed for extracting data, combining it logically or physically, and importing it into data sources.