List of Online Courses and Certifications

With an overload of choices and information in the digital age, customers often struggle to discover the service or product that best suits their needs. However, advancements in analytics, Data and computational make it easier for them by suggesting a suitable product. The Predictive Analytics in Commerce online course offers in-depth insights into predictive analytics and its utilization in Commerce.

The Predictive Analytics in Commerce course by Iversity will acquaint you with using data effectively to deliver the precise type of services, offers, and products to the most rewarding customers. You will also learn how to recognize exact situations where predictive modeling can provide value.

Predictive analytics can help in better allotment of marketing budgets, meeting customer needs, and enhancing the financial performance of the organization. The Predictive Analytics in Commerce training will make you adept at implementing predictive analytics methods to increase your team and company performance and elevate customer satisfaction.

The Applied Data Science Capstone course is a great course to understand the working life of a data scientist through hands-on and practical training. You will be exposed to a host of processes and applications such as learning about location data and data providers like Foursquare and making RESTful API calls to retrieve data from Foursquare API. 

If you do not have access to readily available data, the Applied Data Science Capstone online course will teach you how to scrape web data and parse HTML code. You will be able to refine your exploring and data analysing skills using Python and its panda libraries. Finally, to communicate your results and findings, you will use the Folium library and access maps of geospatial data.  

Applied Data Science Capstone certification can be audited for free. The course is offered by IBM and will be taught by Alex Aklson. The course also provides certification and financial support if you cannot pay the programme fee. 

The Applied Deep Learning Capstone Project certification programme is a five-week-long online course curated by IBM. During this capstone project, you will get practical, hands-on experience in developing, training and testing a Deep Learning model. For this purpose, you will be using either PyTorch or Keras.

edX’s Applied Deep Learning Capstone Project is an advanced-level programme that is also a part of a Deep Learning professional certificate of edX. With the help of this course, you will learn how to preprocess and load data for a real-life problem, create a model and finally validate it. 

The Applied Deep Learning Capstone Project programme by edX requires only two to four hours per week to study. You will learn through video lessons and ultimately master the procedure of generating a Deep Learning pipeline. At last, you are required to present a project report to showcase your competence in the domain of Deep Learning. EdX provides two tracks to pursue the self-paced course; verified and free audit. In the former mode, the learners can access the programme unlimited and get a certificate of completion. In the free mode, they can audit it for a limited duration. 

This Introduction to Data Analytics certification course provides a gentle introduction to data analysis principles, the role of a data analyst, and the techniques used to execute everyday tasks. The enrolled candidate will acquire knowledge of the data environment as well as the foundations of data processing, such as data collection and data mining. This Introduction to Data Analytics training in the course would teach students how to tell the difference between a data engineer, data scientist and data analyst. 

They will understand what a data analyst's duties are and what data analysis entails. In order to attain Introduction to Data Analytics certification at the end, the candidate will be able to compile an overview of the data environment, including databases and data warehouses. Following that, students can learn about the key vendors in the data environment and investigate the different technologies available on-premise and in the cloud. 

Continue on this thrilling trip to learn about Hadoop, Hive, and Spark, as well as other big data platforms. The candidate will begin by studying the basics of data collection and how to classify data sources. They'll then learn how to use visualizations and dashboard software to clean, interpret, and distribute the results. All of this culminates in the final assignment, which will assess their understanding of the course content, discuss what it means to be a Data Analyst, and have a real-world application.

This Excel Basics for Data Analysis certification course is intended to give students a basic understanding of how to use Excel spreadsheets for data analysis. It goes through some of the fundamentals of dealing with spreadsheets and how to use them in data analysis. The Excel Basics for Data Analysis training contains plenty of learning videos, demonstrations, and illustrations, as well as step-by-step instructions for applying and practicing on a live spreadsheet. 

This Excel Basics for Data Analysis certification is appropriate for those interested in pursuing a career in data processing or data science, as well as others who really want to use Excel for data analysis in their own domains. The candidate will gain useful experience cleaning and wrangling data with functions, as well as analyzing data with techniques like filtering, sorting, and constructing pivot tables. 

This Excel Basics for Data Analysis online course begins with an overview of spreadsheets such as Microsoft Excel and Google Sheets, as well as data loading from a variety of sources. Following this introduction, they'll learn how to execute some simple data wrangling and cleaning operations, as well as how to use filtering, sorting, and pivot tables inside the spreadsheet to further your understanding of data analysis. 

The Deep Learning on Azure with Python certification course is a five-week-long online programme designed to help you develop the critical skills required of a Machine Learning Engineer. You will understand the intricate workings of Deep Learning during this programme. You will also know about the Data Science skills needed to build Machine Learning (ML) models.

Throughout the Deep Learning on Azure with Python online programme offered by FutureLearn, you will explore how ML enables you to build complex systems. Also, you will know about its broad spectrum of applications, including medical diagnosis, self-driving cars, etc.

For building ML models during FutureLearn’s Deep Learning on Azure with Python online course, you will use Microsoft Cognitive Services on the MS Azure cloud platform. Python programming shall be used for this purpose. You will get hands-on experience and a thorough introduction to the field of Machine Learning with practical examples. Moreover, by obtaining the course certificate, you can prove to your future employers that you are job-ready and skilled in this field. 

Data Analysis with R Programming is Google Data Analytics Certificate's seventh certification course, which provides applicants the necessary skills they need to get an introductory level data analysts’ job. The applicant would learn the programming language known as R in this course. The candidate can learn how to use RStudio and the environment for working with R throughout the course. 

This course also covers R-unique software programmes and techniques, such as R kits. Candidates will learn how R enables them to clean up, coordinate, interpret, view, and report information in fresh and more efficient ways. Current Google data analysis providers will continue to offer practical instructions and services to registered applicants for basic data analyst roles. 

Data Analysis with R Programming certification will be awarded after the successful submission of the quizzes. The candidate will adapt the new programming called ‘R’ and implement its use to solve the respective problems and get efficient solutions. 

Applied Data Science for Data Analysts is an online Databricks-offered programme designed for intermediate-level learners. The online certification is the final course in the three-course Data Science with Databricks for Data Analysts Specialization. Thus, to be eligible for taking the online programme, the learners must have completed the first two courses in the specialization. Applied Data Science for Data Analysts Certification Course, provided jointly by Coursera and Databricks, will help the learners to enrich their data science, and applied data science with python and machine learning skills and help the student to become masters of applied data science. 

The learners passionate about learning about apple data science can enrol and complete the Applied Data Science for Data Analysts Training within approximately 16 hours. As the Applied Data Science for Data Analysts Certification by Coursera is completely offered in the online mode, the candidates can opt for the programme at their convenience and pace from anywhere. 

The Developing AI Applications on Azure certification by Coursera will equip users to create and work on an Azure Machine Learning Workspace, all to create their models and test run them on the cloud. 

The learners delve into algorithms, types of machine learning. They’ll learn the practical applications of Python for machine learning solutions, as well as certain scientific ecosystem packages which will help you implement machine learning. Along with standardized approaches to data analytic, they’ll learn Microsoft's Team Data Science Approach. 

Another perk of the Developing AI Applications on Azure certification course is that the learners will familiarize themselves with pre-trained and managed machine learning which is offered as REST API's in their suite of cognitive services. Other concepts include facial recognition API, sentiment analysis with the natural language service, implementation of solutions via the computer vision API. 

Created by Learnquest and available on Coursera, the Developing AI Applications on Azure certification course will take the learners through Artificial Intelligence, Machine learning, Data Analytics, Python programming, etc. Hands-on exercises will polish the AI skills of candidates and also equip them to deploy their machine learning models.

This program on ‘Full Stack Applied AI Course’ is developed and designed by the data science institute for the candidates to transform into python professionals with AI and ML skills. The program is scheduled for four hundred hours and the candidates will be required to attend a total number of fifty classes in which they are allowed to explore the features of deep learning, machine learning, and data science within the scope of applied artificial intelligence to meet the business needs.

The learners will get hands-on experience with the software tools such as Python and other data science aspects. The ‘Full Stacked Applied AI online course’ curriculum is application-based and includes data extraction, wrangling statistical frameworks, supervised and unsupervised machine learning strategies that are required for various applications of AI. The assignments, case studies, projects, and evaluation helps the students upskill themselves with experimental industrial insights and gain a valuable certification.

The PG Diploma Program in Data Science online course prepares candidates to make and grow their careers in the field of Data Science. Data science is a broad field that employs scientific techniques, procedures, systems, and algorithms to extract important data and information from structured and unstructured data sets and apply new learning and actionable data across a wide variety of application areas.

This PG Diploma Program in Data Science training is intended for all professionals, covering job topics such as machine learning algorithms, Python and R programming, data visualization with Tableau and NLP concepts via an online learning model that includes teaching sessions by international instructors, IBM Hackathons, practical labs, and capstone projects.

Vitti created the PG Diploma Program in Data Science syllabus in conjunction with IIIT-Bhagalpur. Candidates will be able to gain a thorough grasp and experience of data science and machine learning through this program. Candidates who complete this PG course can sit for the IBM Exam and receive a digital badge and certificate from IBM.

The Intro to Data Analytics certification course is a one-month-long online programme designed to introduce you to the field of data analytics. It will teach you all the essentials with a blend of practice and theory. From day one, you will use your data analytics knowledge in practice. 

Throughout CareerFoundry’s Intro to Data Analytics online programme, you will study the whole data analysis process, from mastering the basics to exhibiting the outcomes of your analysis. Plus, you will get personalised mentorship. Your one-on-one expert tutor will provide you with valuable insights, tailored videos, and written feedback on everything you do.

During the Intro to Data Analytics online course by CareerFoundry, you will learn how data analytics helps businesses better understand their industry and audience. Moreover, you will explore how data is a potent tool to solve business challenges with intelligent solutions. The course, being result-oriented, requires you to deliver a data analysis.

People involved in higher education tend to have many questions about it. Students want to know whether their performance is up to the mark, which colleges they should apply to, and which classes they should take. With the Practical Learning Analytics certification course, they can finally find the answers. Faculty members will learn about the students’ backgrounds, and whether their teaching methodologies and techniques are effective. 

Besides, staff members can also review if the advice they give students in terms of college admissions, how to achieve their goals, etc., is accurate. Administrators wanting to get in touch with their students and faculty, see how they are doing, and anticipate changes can also learn from the Practical Learning Analytics training.  Developed by the University of Michigan, the course addresses questions raised by different stakeholders, including staff, faculty, campus leaders, and especially students. 

Participants can work with standard student record data, which every campus already has. All you need for the Practical Learning Analytics online course is college-level maturity. Furthermore, giving four weeks of your time (two to eight hours/week) will be enough for the program.

The Data Science Ethics certification course focuses on the learning of working with privacy ethics, data sharing and algorithmic decision-making. As patients, we worry for the safety of our medical records; but as patients, we still expect to benefit from the review of the evidence in the medical records. As people, we want a fair hearing before we are convicted for a crime; but as citizens, we want to deter the terrorists before they attack us. As a moral choice, we appreciate the recommendations we get from data-driven algorithms in the Data Science Ethics by edX; but as decision-makers, we are still worried about unintended bias. Often data scientists master the instruments of commerce and get to work straight away, without appreciating the real implications of their work. 

This Data Science Ethics online course focuses on ethics directly relevant to data science and provides you with a context for examining these questions. This concept focuses on ethics, which are common principles that tend to discern right from wrong. Ethics were not the rule, but they were generally the foundation of the law. The learners can pursue the programme in two varied tracks; verified and audit track. In the verified track, the learners will get unlimited access and a certificate. In the audit track, they will get access to the course for a limited duration. 

Data Science has enabled many industries and organisations to make better business decisions by providing useful insights and information. Hence, this exciting branch of science can be used to test new techniques, theories and models. Python for Data Science online programme is an undergraduate-level course that falls under Computer Science and Engineering, Artificial Intelligence and Data Science categories.

The Python for Data Science course curriculum has been curated by the prestigious IIT Madras faculty and delivered by Prof. Ragunathan Rengasamy. Also, the certification has been designed as a four-week-long course that will be divided into several modules. It will teach you the basics of the Python programming language and how it can be used to solve data science problems.

Furthermore, the course will equip you with skills to use Python and data science which are extremely important and valuable today. You will learn through video lectures and will be given regular weekly assignments during the tenure. When you finish all the modules in the Python for Data Science certification course, you further obtain a certificate by qualifying the eligibility criteria.

The Wiley Certified - Python Programmer certification course is created to explore the working of packages, installing and operating Integrated development environment, type conversion, Performing operations on variables, The course consists of various extensive hands-on work, assignments, and live training.

The Wiley Certified - Python Programmer certification By WileyNXT offers every possible knowledge of basic programming language as python is a popular general-purpose programming language used by both small and large-scale Applications. Due to its large standard of libraries such as Pandas, Numpy, Matplotlib, Python is adopted by a huge number of large-scale applications. 

The Wiley Certified - Python Programmer online course encourages students to learn about various libraries of python which have easy readability & multiple paradigm support including functional, procedural, and object-oriented programming styles, the libraries consist of various types of built-in modules which help in different types of data input and output operations with a wide range of functionalities in the modules available in python libraries.

The Statistics and R Online Course is centered around the basic principles of R programming language in connection with statistical concepts. The course will enable students to understand different statistical and visualization techniques. It will also help them understand the usage of the R programming language for analysing data and conducting research.

The Statistics and R Certification Syllabus are prepared under the guidance of genius minds including biologists from Harvard and from around the world who are dealing with genomic technology and scientific hypotheses. The course is instructed by Rafael Irizarry and Michael Love, Harvard University. The course would help students in achieving certification in data science with R programming.

The Statistics and R Training Course offered on the edX portal is a self-paced course taught over 4 weeks. The course will be delivered through online course materials and assessed through graded assignments and exams. After the successful completion of the course, learners will be rewarded with a shareable certificate if they have opted for the verified track. They can also join the programme free of cost and access the course materials for a limited duration. 

The Introduction to Linear Models and Matrix Algebra Certification Course is an introductory course in data analysis dealing with the applications of matrix algebra and linear models. The course will enable learners to explore experimental designing tools and the process of analysis of high-dimensional data and statistics.

The Introduction to Linear Models and Matrix Algebra Online Course is taught over a period of 5 weeks with the help of online study materials. The course instructors are Rafael Irizarry and Michael Love, distinguished professors at Harvard University. The learners will get the chance to obtain a certificate upon successful completion of the course if they have chosen the verified track to join the self-paced programme. A limited duration of access to the course will be given to the students if they opt to join it free of cost. 

The open online course supported by edX is an intermediate-level course that requires learners to have basic knowledge of mathematics, statistics, and R programming language. After joining the Introduction to Linear Models and Matrix Algebra Course, learners will be assessed through a series of graded assignments and exams. 

The Statistical Inference and Modeling for High-throughput Experiments Training Course is an open online course conducted in collaboration with the edX platform and Harvard University. The course deals with different techniques of statistical inference and their applications with regard to the handling of high-throughput data.

The Statistical Inference and Modeling for High-throughput Experiments Certification Course is taught over 4 weeks with the help of online study materials. The course is instructed by Rafael Irizarry and Michael Love, renowned professors at Harvard University. The online course is assessed through graded assignments and exams.

The Statistical Inference and Modeling for High-throughput Experiments Online Course is an intermediate-level course taught in a self-paced manner. The students who enrol in the course are required to have basic knowledge of programming, statistics and linear algebra. The students will receive professional certification after successful course completion if they join the course in the verified mode. For free, they can audit it for a limited duration. 

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

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

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

The Data Visualisation with Python: Bokeh and Advanced Layouts course is a part of the data visualisation with python which is offered by the FutureLearn portal in collaboration with Coventry University, U.K. In this course, learners will understand different phases of data exploration, data analysis and learn about the plot layouts, interactions and annotations using python on bokeh. This course will be delivered in online mode. 

The course will be conducted by Ed Marks using English as a medium of instruction. The duration of the course will be four weeks wherein candidates will have to invest at least four hours per week to complete the course modules on time. To apply for this course, candidates are advised to check the provider’s official website and register for the Data Visualisation with Python: Bokeh and Advanced Layouts online course. For details related to this course, please check the article below.

The SQL for Data Analysis online course is four weeks of training conducted by the FutureLearn portal and coordinated by Tableau and Coventry University, U.K. The course will help in developing and applying data analytics skills in a professional career. Through this course, candidates will learn how to use SQL in modifying and grouping data in the database. Also, learners will learn the difference between correlation and causation and reach a proper conclusion for your data. 

The SQL for Data Analysis certification will be directed by Jacques Haasbroek, a certified data analyst and a chartered global management accountant. Candidates who are interested in taking admission must visit the provider’s official website and register for the SQL for Data Analysis training. To get all the details related to this course such as the admission process, fee structure, etc, please go through the article below.

The Data Visualisation: Creating charts and complex visualisations in Tableau training is a part of the data visualisation training programme offered by the FutureLearn portal in collaboration with Tableau and Coventry University, U.K. In this course, learners will learn to interpret data and create dashboards through beautiful visualisations. Candidates will learn to review data visualisation layouts for their organisation and prepare strategies to create data dashboards for the organisation.

The Data Visualisation: Creating charts and complex visualisations in Tableau online course will be taught by Alastair Gill using English as a medium of communication in online mode. This is a self-paced learning course and the Data Visualisation: Creating charts and complex visualisations in the Tableau certification syllabus is divided into four weeks, in which candidates will learn to use the fundamentals of data visualisation to create dashboards in an organised manner. To apply for this course, candidates must visit the official website of FutureLearn and register.

The Data Wrangling and Ingestion using Python Online Course is offered by the FutureLearn portal in collaboration with Github and endorsed by Coventry University, U.K. This training course is the third installment of the Data Analytics Using Python programme available at the portal. During this course, learners will gather knowledge about Python functions and how to use python in the data analysis process. Along with this, candidates will explore the use of SQL in data analysis and gain insight into the fundamentals of databases using SQL. 

The Data Analytics Using Python: Data Wrangling and Ingestion syllabus is divided into four weeks in which candidates will get deep knowledge about Python and its use in managing the different databases of the organisation. This course will be instructed by Ed Marks with English as a medium of instruction. 

To apply for the Data Wrangling and Ingestion using Python Training Course, candidates must visit the provider’s official website and register.  For other details regarding the course such as admission process, fee structure, etc. Candidates are advised to go through the entire article given below.

The Python Packages: NumPy and Pandas Dataframe Training Course is the second edition of the Data Analytics Using Python training programme that is offered by the FutureLearn portal in association with Github and endorsed by Coventry University, U.K.  In this course, learners will learn how to apply the fundamentals of Python programming in a project. Also, candidates will gain knowledge about data ingestion and how it is done by using python. Through this course, candidates will develop knowledge for data analysis and use python programming language more effectively.

The Python Packages: NumPy and Pandas Dataframe Certification Syllabus is divided into four weeks where candidates will develop their analytics skills using python and explore data ingestion with CRISP-DM methodology. The course will be instructed in English by Ed Marks. The Python Packages: NumPy and Pandas Dataframe Online Course will be conducted in online mode through various interactive sessions, doubt sessions, etc. Candidates who are interested in taking admission to this course must visit the FutureLearn official website and register. To get all details related to the Python Packages: NumPy and Pandas Dataframe Course, candidates must go through the article given below.

The Data Analytics and Python Fundamentals Certification Course is offered by the FutureLearn portal in collaboration with Github and endorsed by Coventry University, U.K. Through this course, learners will learn the fundamentals of statistics and its application in data analytics. Also, candidates will learn to use Python in data wrangling, ingestion, and use of advanced data analysis tools and techniques such as data mining and machine learning.

The Data Analytics and Python Fundamentals Online course is a part of the Data Analytics Using Python programme. The course will be taught by Ed Marks with English as a medium of instruction. The course syllabus is divided into four weeks which will focus on the key aspects of data analysis and the use of python. Candidates who are willing to take admission to the Data Analytics and Python Fundamentals Training Course must visit the FutureLearn portal and register. All details related to this course are given below in the article. Candidates are advised to go through the article carefully.

The Data Analysis and Fundamental Statistics Online course is an integral part of the Data Analytics For Business Training Programme conducted by the FutureLearn portal in partnership with Tableau and supported by Coventry University, U.K. With the help of this course, learners will understand the functions of data analysis and the use of statistical models to grow the business of the organisation. Also, candidates will learn about the benefits of data analytics and how to use Microsoft Excel as a data analysis tool.  

The Data Analysis and Fundamental Statistics Certification syllabus is divided into four weeks in which learners will learn about the basics of data analytics fundamentals and the use of basic statistics. This course will be instructed in English by Jacques Haasbroek, who is a certified data analyst and holder of a chartered global management accountant designation. For admission to the Data Analysis and Fundamental Statistics course, candidates must visit the provider’s official website and register for the course. To get all details related to the course, candidates must go through the article below.

The Excel for Data Analysis certification course is the second installment of the Data Analytics For Business training programme provided by the FutureLearn portal supported by Tableau and Coventry University, U.K. The course will help learners to perform data analysis using Microsoft Excel and manage big data. Candidates will learn to structure data with the help of rows, columns and tables in Microsoft Excel.  This course will help learners to gather knowledge of Excel and use it to organise data of the organisation.

The Excel for Data Analysis online course will be instructed by Jacques Haasbroek with English as a medium of instruction. The duration of the course is four weeks for which candidates will invest at least four hours weekly to complete the Excel for Data Analysis course syllabus on time. To apply for this course, candidates will have to visit the FutureLearn portal and register. Details regarding this course are given below in the article. Candidates are advised to go through the article carefully.

The Financial Analysis for Business Performance: Reporting and Stakeholder Management course is presented online to enhance your skillset on communication with your stakeholder and expertise with data analytical tools while creating data that is used for decision making. By using tools such as excel and tableau to prepare data visualisations, it allows addressing diverse companies while making use of the financial understanding.

Communication is done by observing the reporting needs of the stakeholders and drawing parallels of them which helps in comprehending the data using the tools like excel and tableau at hand. These assumptions are used to construct recurring reporting systems to table the weekly and monthly tasks which save time and resources.

The candidates are trained to meet the business needs in the form of financial reports that are used to calculate the performance and examine the various cost types that allow suggestions of optimised cost structures that benefit the business management.

Microsoft Excel which is a valuable tool for storage, analysis and comprehension of data, optimises data visualisation for the viewers. The Financial Analysis for Business Performance: Reporting and Stakeholder Management course provides a detailed understanding of the strategies involved with Excel which makes report creation easier while making the visualization presentable to the audience within the firm.

This course is offered by FutureLearn (owned by The Open University and The Seek group)  to enhance the methods to analyse financial data and increase business performance by understanding reporting done in the right way with stakeholders aiding proper financial management.

The Introduction to Data for Business Leaders online course is offered by the online educational platform FutureLearn and is developed by ‘The DataLab’ which is a centre for innovation in data and AI. The online training is scheduled for four weeks with three study hours every week.

This online certification course equips the learners with the understanding of data and values derived through data in organisations that cause improved business outcomes. The ‘Introduction to Data for Business Leaders’ programme is about recognising and categorizing data and changes within an organisation. Here the candidates are taught to describe the organisation’s data maturity aided with strategies to find ways to improve its standards to strengthen business management. It assists in understanding and calculating the investments needed from within the organisational setup to drive the business and value systems forward.

The ‘Introduction to Data for Business Leaders’ online certification course can be done at the learner's convenience using the advanced course materials. The candidates will gain knowledge as they discuss ideas with their peers and learn along with Craig Paterson who is the strategic advisor and coach.