List of Online Courses and Certifications

Data Analyst Associate (DA-100) online certification is offered by FutureSkills Prime and is designed for individuals who want to learn about fundamental and advanced concepts including data preparation, data modeling, data visualization, and workspace management in Power BI. Data Analyst Associate (DA-100) online course is designed to help individuals prepare for the Microsoft certified data analyst associate certification exam.

Data Analyst Associate (DA-100) online classes by FutureSkills Prime include around 19 hours of intensive video training, intending to offer a thorough understanding of areas such as data preparation, data modeling, data analysis, and data visualization using Power BI. This is a self-paced video-based learning program that individuals may access using their preferred devices, with lifetime access to the content.

Establishing Data Infrastructure is the second course in the Data Product Manager Nanodegree programme by Udacity. The study extensively covers the use and application of data science techniques in creating effective product strategies. The course will familiarise you with foundational skills required to be a data product manager, including data analysis, iterative design, and data visualisation.

Udacity Establishing Data Infrastructure course curriculum includes data consumers, data producers, data strategies, data pipelines and its components. You will learn to use SQL in extracting data, employ Tableau for visualising market insights, and to identify innovative product opportunities. The course will help you gain expertise in combining product goals and data analysis to create rich data-backed product proposals.

Furthermore, Establishing Data Infrastructure also features several relevant case studies, real-world projects, project reviews, student community, workspaces, quizzes, and technical mentor support for an enhanced learning experience. Udacity provides Establishing Data Infrastructure training in a self-paced online module for flexible learning. By signing up for the course, you get to learn with industry leaders and learn industry best practises to bolster your learning outcomes.

This Certificate in Descriptive Analytics and Data Pre-processing using Python course is being offered by Amity Online in collaboration with KPMG. This is a beginner friendly course which is designed to help participants regardless of prior experience gain hands-on skills in cleaning, transforming, exploring and summarizing datasets using python. This Certificate in Descriptive Analytics and Data Pre-processing using Python course is flexible with 16 hours of duration. This Certificate in Descriptive Analytics and Data Pre-processing using Python course is structured into 6 modules making it compact yet intensive.

The Certificate in Time Series Forecasting is being offered by Amity Online in collaboration with KPMG. This Certificate in Time Series Forecasting course is designed to equip participants with the theory and practice of analyzing sequential data and making accurate forecasts. This Certificate in Time Series Forecasting course is flexible with 16 hours of duration. This course navigates participants from the fundamental components of time series to advanced models like ARIMA and exponential smoothing. This Certificate in Time Series Forecasting course is ideal for students, data enthusiasts, and working professionals seeking to sharpen forecasting skills for real-world applications. This Certificate in Time Series Forecasting course combines recorded lectures, hands-on case studies, and industry perspectives to embed deep conceptual understanding and tool proficiency.

Acquiring Data certification course is developed by Accenture and is delivered by FutureSkills Prime which is developed for candidates who are involved in the data field and want to enhance their knowledge of various data processing procedures and technologies. Acquiring Data online classes by FutureSKills Prime introduced the candidates to the basic concepts of data and big data terminologies and frameworks required for data science.

Acquiring Data online course is a part of FutureSkils' AI ascend program, which is aimed at data enthusiasts who wish to become professional data scientists. This course uses Python and Jupyter to familiarise applicants with big data, metadata, and data validation concepts. The program also covers subjects such as DataFrame from the Python, Pandas package, which will serve as building blocks for advanced Artificial Intelligence topics.

SQL is among the most in-demand tech expertise, therefore mastering it is one of the greatest methods to increase one's professional prospects. The SQL Fundamentals course, developed by Digital Vidya and delivered by FutureSkills Prime, is aimed at individuals who wish to improve their knowledge and skills in SQL fundamentals. The SQL Fundamentals online course is designed to help participants learn skills that can be applied to a variety of SQL databases, including Microsoft SQL Server, Amazon Redshift, MySQL, Oracle, and many others.

SQL Fundamentals online classes include 10 hours of prerecorded video lesions which teaches the participants how to understand and write complicated queries to a database using PostgreSQL. This course also covers SQL syntax, SQL databases, and approaches for introducing logic flow to SQL queries using logical operators, as well as standard SQL JOIN operations and approaches for creating tables and databases with data entry limitations.

The duration of the Data Science Methodology certification course is 6 hours (approximately). The certification programme supports the students to gain a comprehensive knowledge of data science methodology and all other aspects related to it. This course is designed for beginners, allowing students to progress at their own speed and with ease.

The students will gain in-depth knowledge of applying the six stages in the Cross-Industry Process for Data Mining (CRISP-DM) methodology to analyse a case study. The Data Science Methodology certification by Coursera provides Data Science, Data Analysis, CRISP-DM, Methodology, Data Mining skills to the students. They will be able to apply the learned fundamentals in real-world scenarios.

Also Read: Online Data Science With Artificial Intelligence Courses & Certifications

The Data Scientist Career Guide and Interview Preparation certification course duration is 9 hours (approximately). The certification programme is a beginner level course and its instructor is IBM Skills Network Team. The course offers a robust curriculum to the students that covers building a foundation, applying and preparing for the interview and interviewing.

The The participants will gain in-depth knowledge of the role of a data scientist and career paths in the field. The Data Scientist Career Guide and Interview Preparation certification by Coursera offers types of interviews, what to expect and how to prepare for it. The students will gain career development, job preparation and resume building skills.

Also Read: Online Data Science With R And Python Courses & Certifications

In the Capstone: Retrieving, Processing, and Visualizing Data with Python Programme, learners will explore all the fundamentals of visualising, processing and retrieving data using Python programming language. Projects will comprise all elements of the specialisation. The first part of the course will focus on acquainting students with present technologies and giving them enough knowledge to work on their own projects and visualise other data. 

This course covers Python 3 and deals with skills like Python Programming, Database (DBMS), Data Analysis and Data Visualization (DataViz) amongst everything else. It is a part of Python for Everybody Specialization course offered by the University of Michigan, thus honed by experts who have worked in the present field for years and brought their valuable insights and takeaways from the current domain for the candidates.

Besides this, the curriculum will also brief course takers with basic concepts surrounding programming, namely- networked application program interfaces, data structures and databases, all using Python which holds extreme significance in Data Analysis and Data Science.

The Evaluating Designs with Users certification course is the third course in the User Experience Research and Design Specialisation series offered by Coursera. Designing a system for users can be a challenging process, as some elements may not work for them. Therefore, it is important that a designer does regular tests and gets feedback from users to improve the design. 

The Coursera Evaluating Designs with Users online course aims to teach students how to conduct tests with the users and evaluate the effect and performance of their design. It focuses on identifying different approaches of user testing and understanding how to design an effective user test. Lastly, the course will teach you how to analyse and report on user testing. 

Furthermore, the Evaluating Designs with Users training is a self-paced learning course which is entirely online. So, students can learn from the comfort of their own home and enjoy the flexibility offered by the course, in terms of resettable deadlines. Upon training course completion, students will also earn a shareable, course completion certificate. 

The course titled Data and Health Indicators in Public Health Practice is part of the Epidemiology in Public Health Practice Specialisation offered by John Hopkins University. The specialisation is a 5-part course curated by experts from the public health faculty. The specialisation course also focuses on various aspects of public health. It aims to make the learner familiar with core epidemiological tools for measuring population health, assessing interventions, analysing data, and investigating outbreaks.

The Data and Health Indicators in Public Health Practice certification by Coursera explores the importance of professional epidemiology in public health practice. It gives thorough information on the methodology and public health data systems associated with epidemiology through a 6-hour-long course. The course includes video lessons, readings, and quizzes.

R programming is an extensively employed data science language of programming that is heavily used in the business, making this one of the most important skills to acquire in the data science industry. R Programming Course for Data Science online certification is designed by Board Infinity, an online learning environment for professionals that would help them achieve their professional goals by assisting them in achieving excellence.

R Programming Course for Data Science online classes features video-based learning material along with assignments and projects to assist candidates to acquire a hands-on comprehension of the tools and concepts like data analysis, time series analysis, text analysis, string manipulation, natural language processing, R studio, statistics, and more. By the end of the R Programming Course for Data Science online training, candidates will have developed their knowledge to develop programs in R programming and perform basic data analysis tasks.

Power BI Online Course certification is designed by Board Infinity, an online educational environment for professional workers that will assist them in reaching excellence to accomplish their professional objectives. The Power BI Online Course classes by Board Infinity are designed for applicants who wish to learn more about the fundamentals and advanced principles of Microsoft Power BI, as well as the methodologies for visual data analysis.

Power BI Online Course syllabus begins with the most fundamental notions, therefore no prior understanding of visualization is required. This course covers bar charts, pie charts, line charts, and table charts, as well as other types of visualizations that are important in data science operations. Applicants will have established essential competencies in Power BI for executing and sustaining a variety of business intelligence activities at the end of this program.

The course Value-Based Care: Organizational Competencies is part of the Value-Based Care Specialization. This course makes use of certain models and introduces the learners to the challenges and benefits of value-based care. The course focuses on equipping healthcare organizations with the necessary competencies and strategies to implement value-based care models. 

The Value-Based Care: Organizational Competencies certification by Coursera is approximately 4 hours long. The course will help the learners to understand value-based care by presenting the viewpoints of three types of healthcare organisations. The study modules include video lessons, study resources, peer-reviewed assignments and practice quizzes.

Defining Problems online certification is developed by Harappa and is presented by FutureSkills Prime which is aimed to help candidates develop a critical approach to defining every problem they encounter. Candidates who take the Defining Problems online course by FutureSkills Prime will learn how to write a problem statement, identify stakeholders, set success measures, and identify limitations using a problem identification framework.

Defining Problems online classes begin with problem-solving methodologies that assist candidates to establish a problem-solving attitude. This course includes almost 3 hours of extensive prerecorded video-based lectures, as well as additional learning resources, aimed at providing a deep understanding of the problems and barriers to the problem. Candidates will receive a badge from FutureSkills prime for completing this course, which they can put to their LinkedIn page to demonstrate their competence in defining and solving problems.

The Statistics for Data Science with Python online course introduces you to the basics of statistical procedures and methods used for data analysis. After completing this programme, you will have practical knowledge of essential topics in statistics, including – data collection, summarizing data using descriptive statistics, displaying and visualizing data, and examining relationships between variables.

The Statistics for Data Science with Python syllabus also includes hypothesis testing, probability distributions, expected values, ANOVA (analysis of variance), correlation, and regression analysis. You will also get hands-on training in statistical analysis using Jupyter notebooks and Python – the tools of choice for Data Scientists and Data Analysts. 

At the end of the Statistics for Data Science with Python course, you will undertake a project to apply various concepts learned during the course and solve a Data Science problem that involves a real-life inspired scenario. Coursera also provides a certificate upon course completion, which offers tangible career benefits. However, you must pay a fee to get the certification.

Anthropology offers the opportunity to study every aspect of human existence, serving as a frame for the undiscovered. Anthropology responded to questions about the past, present, and future. Anthropology helps to bring individuals from all over the world together. The Exploring Focus Groups in Anthropology Research certification course was developed by anthropologist Keirsten Snover and is made available by Udemy.

Exploring Focus Groups in Anthropology Research online course offers 5.5 hours of prerecorded lessons accompanied by 19 downloadable resources which are aimed at learners who want to become certified anthropologists by acquiring the knowledge and expertise associated with the concepts of anthropological research. With Exploring Focus Groups in Anthropology Research online training, learners will also be taught about topics like research ethics, professional ethics, data management, data sharing, data analysis, budgeting, logistics, problem-solving, problem handling, and more.

The fields of big data, data science, and artificial intelligence are all interconnected in terms of research and technological advancement. Big data technology makes use of AI concepts and methods, and AI depends on abundant data sources and related big data technologies to advance and develop decision-making attributes. Intro to Big Data, Data Science, and Artificial Intelligence online certification is designed by Julia Mariasova- Management Consultant & Media Producer, which is made available through Udemy.

Intro to Big Data, Data Science, and Artificial Intelligence online training is a self-paced program that comprises 10 articles, 10 downloadable resources, and assignments that are intended for candidates who are interested in big data, machine learning, and artificial intelligence to advance in their professional careers. With Intro to Big Data, Data Science, and Artificial Intelligence online classes, candidates will also be taught about the functionalities of big data and data science in the fields like healthcare, manufacturing, logistics, transportation, real estate, and property management.

The AWS Data Analytics Certification Training Course covers topics like Kinesis streams, AWS big data storage, processing, analysis, s3, DynamoDB, and security services. The AWS Big Data Certification course includes essential AWS methodologies and techniques, enabling students to get industry-ready and land a coveted job of their choice.

The course also offers a lot of hands-on experience, with many practice and industry-based projects for the students to dabble in. The projects also help candidates get a clear picture of what’s expected in the industry. Moreover, AWS Data Analytics Certification Training Course by Simplilearn will also enable candidates to prepare for the AWS Certified Data Analytics - Specialty exam.

Moreover, AWS Data Analytics Certification Training Course by Simplilearn also aims to provide the candidates with exhaustive knowledge about various elements of cloud computing and its deployment tactics via eLearning content, practice simulation tests, and industry-based projects. Candidates also receive 24x7 learner assistance for any queries. Upon course completion, successful candidates will receive a course completion certificate.

Big Data on AWS Training Course familiarizes the learners with developing and managing big data solutions on the platform of AWS (Amazon Web Services) and prepares them with the skills and knowledge to become certified AWS Big Data developers. In this online training by Mindmajix Technologies, the students will study a wide range of topics related to big data on AWS such as cluster management, application of big data in real-time situations, structured and unstructured data, and the like. 

Big Data on AWS Training online course demands having knowledge and understanding of the following topics as the prerequisites to be eligible for enrolling in the course, namely, basics of big data,  Apache Hadoop, SQL/NoSQL querying, HDFS, MapReduce, database design, relational database systems, data warehousing along with the working knowledge of key functionalities of AWS. After the Big Data on AWS Training certification, plenty of professional and career opportunities are available for the candidates; AWS Big Data specialist, Big Data AWS Architect, AWS - Spark Scala Developer, AWS & Big Data Designer, Big Data developer, to name a few. 

Qlik Sense Certification - The Complete Practical Course online training is developed by Paul Scotchford - Data Analyst, Qlik Development Specialist, which is available through Udemy and focuses on instructing candidates about real-world Qlik Sense data analytics project development that will boost their skills and confidence to go for that job or promotion they want or take on the certification exams. Qlik Sense Certification - The Complete Practical Course online classes by Udemy provide substantial learning tools that enable students to become professionals in designing Qlik Sense applications, and prepare them to attempt the Qlik sense-data architect and business analyst certifications examinations.

Qlik Sense Certification - The Complete Practical Course syllabus contains more than 33 hours of pre-recorded video lectures, as well as articles and 89 downloadable resources, which cover topics including data integration, data analytics, data visualization, data reduction, comparative analysis, KPI, and the DAR concept. Candidates will receive a completion certificate from Udemy upon successful completion of this course, demonstrating their knowledge in Qlik sense and allowing them to grow in their careers as certified Qlik sense specialists.

SAP Analytics Cloud (SAC) is a revolutionary innovation in SAP's portfolio designed to satisfy the requirements of cloud data visualization. It's a SaaS-based all-in-one solution that takes care of data visualization, budgeting, and predictive analytics, with the development of data reports as its main role. Data can be retrieved from spreadsheets, on-premise databases, cloud databases, or a mixture of all three. Uplatz Training, one of the quickest growing global IT training providers, established the SAP Analytics Cloud (SAC) Certification Training online course, which is available on Udemy.

SAP Analytics Cloud (SAC) Certification Training online course is targeted at the participants working as business analysts and SAP power users, as well as consultants who report and analyze data utilizing dashboards, visualizations, and charts, who will benefit from this course. SAP Analytics Cloud (SAC) Certification Training online classes focus on teaching the four categories of SAC applications including SAP digital board, SAP analytics hub, mobile experience, and SAP app centre. Participants will also learn about operations like administration auditing, data wrangling, data visualization, data analysis, data reporting, data forecasting, data connectivity, and mo

Predictive Business Analytics is experiencing a boom in the business intelligence sector and offers a promising future to high-performing skilled professionals. The EduPristine Business Analytics certification course will equip business professionals to improve career opportunities in various industries. Tools like R, Python, Excel, Anaconda, Jupyter, and more have become a prerequisite to entering the business analytics market, and this course covers them all.

The Business Analytics Certification Training is an intensive online course with 100+ hours of instructor-led training. It combines relevant theoretical and experiential learning. The subject matter experts at EduPristine provide real-life case studies and comprehensive study notes through an extensive curriculum of 12 modules. These include building a foundation for business analytics through various analytics tools and working on capstone projects.

Further, the Business Analytics Certification Course by EduPristine also provides soft skills training and hands-on scenario simulation. The programme admits only 30 students in a batch. It goes beyond classroom training as there are dedicated discussion forums, interview skills workshops, and After Course Engagement (ACE). 

Adobe Creative Cloud Training Course is an online training programme that will equip the learners with in-depth knowledge and skills in the Adobe Creative Cloud Suite. The curriculum will explore all the related aspects including tools and techniques for web designing, videos, mobile apps, graphics and the like along with practical knowledge through hands-on projects etc. The students can also acquire knowledge enough to clear the  Adobe Creative Cloud certification exam through this programme. 

Administered by Mindmajix, Adobe Creative Cloud Training online course will walk the learners through code running algorithms, Software handling approach, error management, Tools integration, Server management, data manipulation and much more. The candidates who aspire to enrol in the Adobe Creative Cloud Training certification will be rendered with options of corporate training, Self-Paced Videos and live online mode to enrol in the course. The features of job assistance, mock interviews, career counselling sessions etc will be provided to the candidates after the course. 

The Certificate Course on Artificial Intelligence and Deep Learning program is organized and offered by the Indian Institute of Technology in Roorkee on the Cloudxlab online education and innovation platform.

The courses study is about the principles and techniques involved in deep learning which is the basis for many recent innovations. In this course, the participants will gain a thorough knowledge of deep learning and machine learning with the best curriculum. The course educators include the faculties from IIT Roorkee Raksha Sharma(CSE dept) and Gaurav Dixit(DoMS dept) and the founder Sandeep Giri and Cofounders of Cloudxlab Abhinav Singh and Praveen Pavithran. 

The programming languages and tools that are used during the course study are TensorFlow, Keras, Learn, Numpy, Pandas, and Python.

The AI for Managers & Business: Complete Guide to Applied AI online certification was developed by Pallav Modi - Founder Aimadesimple, AI Innovator, Innovation Consultant, and Trainer - and is offered by Udemy which is designed for participants who want to explore the domains in which artificial intelligence is being used and develop an understanding of how the logic of it functions. AI for Managers & Business: Complete Guide to Applied AI online course aims to provide a detailed understanding of the application of artificial intelligence in a business context, allowing professionals and organizations to leverage the power of machine learning and deep learning to improve their productivity and work efficiency.

AI for Managers & Business: Complete Guide to Applied AI online classes focus on teaching students how to build machine learning models from the ground up, using non-programming tools built in collaboration by Microsoft Azure and Google Cloud Platform, among other things. This course covers subjects such as computer vision, natural language processing, reinforcement learning, big data, and AI methods. The course also teaches participants how to construct 5 real-world applications or models that leverage the strengths of artificial intelligence to assist them to obtain a practical understanding of the deep learning and machine learning functionalities.

Hitesh Chhatralia- Digital Marketing, CMS, and E-commerce Corporate Trainer developed the Masters in Applied Digital Marketing certification course, which is available on Udemy and is designed for applicants who want to learn and master digital marketing fundamentals from the ground up. The Masters in Applied Digital Marketing online course by Udemy focuses on supporting applicants in founding a firm that is as reachable as possible.

Masters in Applied Digital Marketing online classes feature more than 38.5 hours of prerecorded learning materials which cover a range of digital marketing concepts like SEO, SEM, social media marketing, affiliate marketing, SMS marketing email marketing, youtube marketing, proximity marketing, mobile marketing, M-commerce, Facebook marketing and more. With this course, applicants will also get the expertise to work with digital marketing tools like Google Analytics, Google alerts, Google trends, google my business, and google search console.

Data Science, Analytics, and AI for Business & the Real World™ online certification was designed by Rajeev D. Ratan - Data Scientist, Computer Vision Expert, and Electrical Engineer and is offered by Udemy which is designed for individuals who want to attain a solid understanding of how data science, data analytics, and artificial intelligence can benefit a business. Data Science, Analytics, and AI for Business and the Real World™ online course focuses on explaining all the fundamental theory and programming abilities required in a competent data scientist.

Data Science, Analytics & AI for Business & the Real World™ online classes is a practical course that includes over 30.5 hours of detailed pre-recorded video lectures, as well as 6 papers and three downloadable resources that cover a wide range of real-world business problems faced by data scientists. This course aims to bridge all of the gaps that discourage beginners while also allowing them to apply their data science and deep learning skills to real-world business situations. This training program also covers big data analytics, machine learning, and neural networks, as well as teaches about PySpark, Google Data Studio, Jupyter notebooks, Heroku, and Flask, among other tools and approaches that help individuals with their data analytics.

Google Colaboratory is a free, in-browser interactive programming environment that supplies deep learning researchers and engineers with an immersive and simple platform to collaborate on their data science projects. Google Colab allows anyone to compose and run arbitrary Python scripts in the browser, making it ideal for machine learning and data analysis. Minerva Singh - Instructor & Data Scientist developed the Complete PySpark & Google Colab Primer For Data Science certification course, which is available on Udemy.

Complete PySpark & Google Colab Primer For Data Science online training incorporates 4.5 hours of comprehensive lecture accompanied by articles and downloadable resources and is intended for individuals who want to use the capabilities of Google Colab for working with PySpark and Python-based AI modeling. The Complete PySpark & Google Colab Primer For Data Science online course discusses the methodologies involved with data processing, statistical analysis, correlation analysis, statistical modeling, and much more.

An early diabetes diagnosis can result in better management of the condition. The early diagnosis of the disease is frequently accomplished using data mining techniques. The relationship between the various attributes is also described in this research paper, which uses significant attributes to predict diabetes. The School of Disruptive Innovation, a company that develops innovative learning solutions for the digital age, created the Data Science: Hands-on Diabetes Prediction with Pyspark MLlib certification course, which is made available by Udemy.

Data Science: Hands-on Diabetes Prediction with Pyspark MLlib online course is an hour-long program that teaches students all the methods and ideas necessary to create, train, experiment, and assess machine learning models capable of identifying diabetes using logistic regression. Data Science: Hands-on Diabetes Prediction with Pyspark MLlib online classes include a variety of carefully crafted and designed tasks centered around data cleaning, diabetes datasets, logistic regression, performance evaluation, and Spark MLlib.