List of Online Courses and Certifications

Certificate in Spreadsheet Modelling using Excel is being offered by Amity Online in collaboration with KPMG. This Certificate in Spreadsheet Modelling using Excel course is designed for beginners and working professionals alike. The duration is flexible with 24 hours and takes participants through essential and advanced spreadsheet modelling techniques. This Certificate in Spreadsheet Modelling using Excel course is completely online with expert-led recorded lectures, allowing you to participants at their own pace from anywhere. The participants will explore functions, data organisation, visualisation, scenario modelling and Excel’s more powerful tools such as Power Query and Power Pivot.

Machine Learning - Linear Regression certification course is developed by Leaps Analyttica TreasureHunt and is delivered by FutureSkills Prime, which is aimed at participants who are looking for a comprehensive training program to learn the functionalities of linear regression in a variety of machine learning and data science activities, as well as being used by organizations for future projections. Machine Learning - Linear Regression online course provides the expertise to design and validate a viable linear regression model on legitimate datasets.

Machine Learning - Linear Regression online classes by FutureSkills Prime will take the participants through the fundamental concepts of machine learning and linear regression including both simple and multiple linear regressions. This course also covers topics like exploratory data analysis, model iterations, variable selection, variable transformations, overfitting, and R square. By the end of this training, participants will be able to pre-process data and evaluate linear models as well as acquire an understanding of various stages of predictive modeling.

Python, an extensively used interpretative, interactive programming language, has become extensively famous for Data Science. Python's design concept prioritizes accessibility, and its semantics enable developers to communicate concepts in lesser code than languages like C++ or Java. The Data Science with Python course, developed by Corestack and delivered by FutureSkills Prime, is aimed to teach candidates the method and techniques involved in data science operations using the Python programming language.

Data Science with Python online classes makes use of Jupyter which candidates allow candidates to create the Python & PySpark notebooks and launch them. Data Science with Python online course is a 20-hour training program that focuses on explaining all of the fundamental and advanced principles of data science using Python and Power BI. This course also offers 24-hour support to provide rapid and effective solutions to challenges that candidates may encounter during their learning experience.

The R programming language is by far the most widely used in the data science and analytics field nowadays as it is easily accessible and extremely powerful, making it the language of preference for data scientists across the globe. The Data Science with R course was created by Corestack and is available through FutureSkills Prime which is designed for learners who want to obtain knowledge and skills in the field of data science using the R programming language's features.

Data Science with R online course provides students access to RStudio, which allows them to write and run code written in the R programming language. Data Science with R online training is a program that focuses on offering hands-on experience in the field of data science and the R programming language. This course also includes 24-hour support, which helps learners in their learning process by providing prompt and efficient assistance.

Big Data Hadoop - First Virtual Lab certification course is designed by Corestack and is offered by FutureSkills Prime which is intended for the participants who want to acquire the knowledge of the core concepts and functionalities of big data analytics using Hadoop. Big Data Hadoop - First Virtual Lab online course by FutureSkills Prime focuses on helping participants gain better hands-on experience utilizing big data Hadoop technologies.

Big Data Hadoop - First Virtual Lab online classes feature 20 hours of extensive video-based lectures aimed at demonstrating practical mastery of big data components such as Cloudera Manager, Hive, Spark, Oozie, Impala, and others. This course includes an enterprise-grade lab architecture for hands-on project experience, as well as 24-hour support to make the learning process easier.

Python Fundamentals online certification is developed by Coding Ninjas and is presented by FutureSkills Prime which is meant for applicants who want to learn about ideal logic and how to translate that logic into efficient programs. The Python Fundamentals online course by FutureSkills Prime aims to provide knowledge that will enable applicants to become familiar with the concepts of data structures and algorithms, as well as become experts in problem-solving, to progress their careers as python programmer and data scientists.

Python Fundamentals online classes begin with the foundational concepts of Python programming language and progress through more complex topics like data structures, flow charts, loops, conditions, operators, and patterns. By the end of this program, applicants will have learned to use Python in a variety of analytical and web development projects. Applicants will also receive a participation certificate if they pass the course with a score of 60% or a certificate of excellence if they pass with a score of 90%.

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.

The Applying Data Science to Product Management Course is beneficial for you in understanding the role of data product managers in various organisations and how to utilise robust data modelling and analysis to solve problems.

Moreover, Applying Data Science to Product Management Course teaches you how to visualise the collected data with the help of statistical analysis and identify the unique relations between variables using hypothesis testing and modelling. Become proficient in evaluating the output captured in statistical analysis and translate them into insights to inform product decisions.

Learn how to utilise SQL to extract data and Tableau to visualise market insights to identify new product opportunities. Applying Data Science to Product Management Course also covers tutorials on analysing and calculating trends and aggregations in a dataset and enriching them for enhanced visualisation. 

For product managers who want to increase their fluency in data analytics and their focus on managing products whose core functionality and user experience are data-driven, this proves to be an ideal course. Learn to combine data analysis and product goals into a cohesive, data-backed product proposal with the Applying Data Science to Product Management Course.

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.

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 Library of Integrative Network-based Cellular Signatures (LINCS) is an NIH Common Fund programme. The aim is to perturb various types of human cells with different types of perturbations, genetic manipulations, and more. The Big Data Science with the BD2K-LINCS Data Coordination and Integration Center provides you with extensive knowledge of the functionality of LINCS and its practical application. 

The Big Data Science with the BD2K-LINCS Data Coordination and Integration Center online course aims to familiarise students with molecular networks which are affected by these disturbances. The curriculum includes different variables of measurement, like mRNAs, proteins, metabolites, and cellular phenotypic changes. The BD2K-LINCS Data Coordination and Integration Center (DCIC) provides this data along with other publicly available relevant resources. 

The Big Data Science with the BD2K-LINCS Data Coordination and Integration Center online programme also includes computational methods such as gene-set enrichment analysis, data clustering, interactive supervised learning, and data visualization. Candidates can also work on crowdsourcing or citizen-science projects in this 100% online training.

The Advanced Linear Models for Data Science 1: Least Squares course helps you develop a strong foundation of linear and regression modelling. Johns Hopkins University offers the programme, and your instructors will be subject-matter experts. It is the third part of the Advanced Statistics Specialisation by Coursera.  

Moreover, the course completion certificate that you will receive is shareable, after finishing the Advanced Linear Models for Data Science 1: Least Squares programme by Coursera. It will allow you to establish your relevant expertise in the field. Learn and develop fluency in the basics related to least squares and regression modelling, at your own pace.

In addition, the Advanced Linear Models for Data Science 1: Least Squares course features immersive content, developed around a self-paced model to align perfectly with your schedule. The training also provides adjustable deadlines. Furthermore, the online course allows you to quickly and efficiently start studying. You have to devote nearly 8 hours of learning time to the programme.

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 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.

The Certified Data Scientist Program Expert online course is developed for the learners to gain knowledge about data science and data analysis. This online program is provided by the BSE Institute for students who are interested in enhancing their understanding of data-driven technologies and decision-making processes. The duration of the course is seven months and the students are required to attend the live virtual sessions for four hours on Saturday and Sunday.

The course curriculum helps students to engage with advanced and modern technologies of data science and machine learning techniques with the web application tools such as Jupyter NoteBook. The candidates of the program will get a practical approach to data analytics operations. The course involves data visualization, data interactions and explorations, implementation, data preparation, and access. The Certified Data Scientist Program Expert training course provides a course certificate to students who have successfully completed the program.

The Data Science Course Complete Data Science Bootcamp online course is offered for the learners to acquire the basic skills to become data scientists. The course is provided by the online education platform Udemy as a self-paced learning program with informative videos and articles and resources that aid in grasping concepts. The course is a study about the core aspects of data science and its applications in real-life business.

The course is instructed by the educators from 365 Careers. In this course, the students gain a comprehensive understanding of the field of data science with mathematical skills, statistical skills, and the knowledge of Python, Tableau, advanced statistics, data visualization, deep learning, and machine learning.

The Data Science Course Complete Data Science Bootcamp training program provides the students with a course certificate after completing the program and full-time access to the course. The students are engaged with active learning through the concepts and principles discussed in detail throughout the course.

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.

The Absolute Beginners Guide to Data Science Course is an online course designed exclusively for absolute beginners to learn and explore data science along with all the must-have knowledge and skills of a professional data scientist. The curriculum of  The Absolute Beginners Guide to Data Science Online Course developed by Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight! will help the students to build a strong foundation of mathematics and statistics to make the data science journey easy and simple. 

The Absolute Beginners Guide to Data Science Certification provides the learners with a detailed understanding of Data Visualization, Python Programming, Matrix Algebra, Coordinate geometry,  Calculus, Data distribution, etc. The online course consists of Q&A support, all the skills a data scientist must-have, a certificate of completion, and many more. 

Pianalytix, a Technology learning provider, developed the Data Science Mega-Course: #Build 60-Projects In 60-Days online certification, which is presented by Udemy and is aimed at individuals who wish to expand their abilities in the data science field. The Data Science Mega-Course: #Build60-ProjectsIn60-Days online course by Udemy teaches the core concepts of artificial intelligence, machine learning, deep learning, and natural language processing, among other technologies and topics in data science.

Data Science Mega-Course: #Build {60-Projects In 60-Days} online classes are designed to provide students with a practical understanding of data science principles and methodologies, and this course includes 60 projects that cover a variety of topics, both fundamental and advanced. This course also covers several cloud platforms so that students may design data science projects and deploy them on AWS, Google Cloud, Heroku, IBM Watson, Streamlit cloud, and Azure.

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.

Pyspark is a big data application that employs the Python programming language for real-time streaming and offers a better and more effective way to perform all types of calculations. PySpark for Data Science - Beginners online certification is developed by Exam Turf - an educational organization that provides competitive exam preparation and test series, which is delivered by Udemy for the candidates who want to master the concepts involved with data science using PySpark to become PySpark developers, and data scientists.

PySpark for Data Science - Beginners online training is a short-term training program that involves 2.5 hours of prerecorded lectures to educate candidates about the fundamental ideas and procedures related to PySpark for data science activities. With PySpark for Data Science - Beginners online course, candidates will be taught about big data, Spark, and Python as well as will be taught about the concept of resilient distributed datasets and other fundamental capabilities and terminologies employed in the particular instance of Spark

For the purpose of data analysis and manipulation, a software library known as Pandas is written for the Python programming languages. It provides operations for manipulating time series and numerical tables as well as data structures.

Graduates and professionals who are interested in excelling in their chosen area of expertise can take up Certified Pandas Professional online course and be a Pandas Professional. However, this certification is also of great relevance to the candidates who are already employed and want further development in their careers. In the highly competitive contemporary world, such a Pandas Professional certification course will help the candidates to be of importance by putting before the industry their advanced skill set, thereby raising the potential of higher salaries. 

To guide the students in the best way we can, experienced faculty support will be provided that will solve all the challenges.

The Data Science programme by Digital Vidya has been created and curated by industry experts having years of experience. The curriculum has been vetted by over 2800 enterprises to be made industry-compliant. Besides, the Data Science training course will help you take that crucial step in becoming a Data Scientist. 

You will receive instructions about variables, data types, and all the various operators—logical, arithmetic, and comparison—to come to terms with the language of Python. Additionally, you will also learn about Data Manipulation techniques using the Pandas library, along with the required skills for Regression Analysis, Decision Trees and Forests, and Statistics.  

You will be required to solve the Capstone Projects in the Digital Vidya Data Science course. As a result, you will increase your industry knowledge in the niches of Natural Language, Deep Learning, Bank Management, and Healthcare Analysis. 

Furthermore, you will be eligible to receive two certifications—one from Digital Vidya, and the other from NASSCOM. The former will be available after you complete all of the assignments and at least one Capstone Project. Upon completing the Data Science Programme successfully, you will get the NASSCOM FutureSkills Certification as well.

The Data Science Bootcamp by Caltech is designed for working professionals providing thorough training in Data Science. This online certification course comprises a blend of theory, case studies and extensive hands-on practise that enables students to master the Data Science concepts and tools. With this Data Science online course, students will be exposed to data structure and data manipulation and the use of linear and non-linear regression models and classification techniques for data analysis. The Data Science Bootcamp syllabus consists of core courses and electives in Business Analytics with Excel, SQL Training, Power BI, and Deep Learning.

The Data Science Bootcamp by Caltech features the superiority of Caltech's academic eminence. This Data Science training programme provides critical Data Science concepts such as R programming, Python programming, Deep Learning, Machine Learning, and Data Visualization tools. Students can attend the Data Science Bootcamp classes through an interactive learning model with live sessions and masterclasses conducted by Caltech faculty and IBM experts.

The Data Science Bootcamp certification course offers a personalised applied learning experience for students with AIZA, a personal AI tutor. The comprehensive curriculum delves deep into Python’s basics and advanced concepts. Students also explore SQL, data visualisation, mathematics, machine learning, and more.

The Data Science Bootcamp by Byte Academy also allows students to learn about feed-forward neural networks, recurrent neural networks and convolutional neural networks. Besides, the syllabus devotes an entire section on software theory, covering algorithms, databases, networks, testing, and data management.

Byte Academy’s instructor-led live classes include practical sessions for students to apply the learned concepts by executing programming scripts. The Data Science Bootcamp online course also utilises a recorded flipped-classroom approach to engage students with recorded sessions, exercises, LMS slides, assessments, group code review, doubt-solving sessions, etc.

Moreover, students receive one-on-one instructor support throughout. They also create a team and a solo capstone project in the final phase of the programme.

Data Science With R Training Course helps the learners to get an overview of various strands of data sciences with R, the widely used data analytics tool, and enables them to make a move ahead in their career. The curriculum will walk the students through the whole range of aspects related to Data Science with R including data visualization, data manipulation, hypothesis testing, charts,  machine learning algorithms, and many more. 

Data Science With R Training online course, offered by Mindmajix Technologies, has some prerequisites that the learners must have to be eligible for the programme, namely, the basic understanding of Data Analytics and R. Data Science With R Training certification will also introduce the students to Business Analytics, Test Statistic, Logistic Regression Analysis, Clustering Models and whatnot along with the practical exposure through projects. The interested students can attend the training programme via either of the three enrolment options made available by Mindamjix.