List of Online Courses and Certifications

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

Business Intelligence using Power BI online classes is a 1 week course, which seek to explore a variety of Power BI functionalities such as Power BI visuals and Power Query for various business intelligence operations. This course also covers data visualization, data modeling, data analysis, and data analysis expressions (DAX), among other data science topics. By the end of this course, learners will have learned the fundamentals of dashboards and will be able to design several dashboards.

The Data Science Foundation Course by Datamites is a high-level online programme designed to teach you the main concepts of Data Science. You will explore the three broad domains of Data Science, i.e., business domain knowledge, data skills/programming/Machine Learning (ML) and Statistics. The International Association of Business Analytics Certification (IABAC) accredits this programme.

The Data Science Foundation certification programme offers intensive two days of Live Virtual Classroom (LVC)/full-time classroom training as per the IABAC syllabus. You will learn via video lessons, case studies, Data Science projects, cheatsheets, datasets, etc., for an in-depth understanding of concepts. You will also receive an IABAC certification in digital format.  

During the Datamites’ Data Science Foundation online programme, you will learn from expert trainers, including industry professionals and PhDs with deep coaching and research experience. You will get an overview of ML with algorithms, basic statistics and applications of Data Science in the top five industry domains. 

The Data Science and Artificial intelligence Course is a 2-months Bootcamp to help you launch your data science career. This course, held on Saturdays and weekday evenings, will cover core topics from Deep Learning to Pandas. You will work in teams equipped with premium tool belts and gauge your Data Science expertise via teachers and peer interactions.

Le Wagon also provides a ‘Data prep week’ right before the Bootcamp commences. In this, you’ll strengthen your Python, OOP, and Iteration skills and develop a robust foundation to study the Data Science Course syllabus. 

Apart from a thorough syllabus, the Data Science part-time training course provides numerous avenues for networking and learning. You’ll get access to Le Wagon’s online education platform for screencasts, lectures, challenges, etc. In addition, Slack groups will be available for tips from professional data analysts, scientists, and exclusive freelance opportunities. 

You will also become a part of Le Wagon’s global community, featuring 11,105 alumni, developers, entrepreneurs, etc. After the Data Science part time online programme completion, you’ll also receive career services through numerous networking events, job fairs, Le Wagon’s career guide, and alumni coaching sessions.

Data Strategy: Leveraging Data as a Competitive Advantage certification is a 2 months online programme available at the platform of UC Berkeley Executive Education. The modules in this certification are designed for helping the participants create a data strategy that is based on the faculty insights of people having years of experience in creating strategies with data for a number of esteemed organisations.

Data Strategy: Leveraging Data as a Competitive Advantage training is ideal for consultants and entrepreneurs who want to provide well-knit data solutions for their own or their client’s enterprises. This certification course also gives examples of real-world situations that can help fine-tune data strategies for an organisation. Also, apart from the certification, candidates will learn about how top-level brands have created positive results based on data technology, data management, and strategic methodologies. Finally enrolling here in the UC Berkeley programme will be the first step catering to the additional Certificate of Business Excellence.

The Big Data Analytics For Smart Grid certification course is an 8-week course that uses the concepts of Python programming language is an open-source software to demonstrate the use of Big Data Analytics in smart grid systems. The data in today’s world is influenced by the fast developments taking place in cloud computing and digital technology involving human activity, communications, sensors and digital equipment. 

The Big Data Analytics For Smart Grid training will involve case studies and begins with the introduction and importance of such analysis with data collection through intelligent devices, machine learning, deep learning, and its associated algorithms. 

The coursework is intended for both academic based attendees such as students, faculty and industry professionals. This course is supported and framed in collaboration with industries such as IBM and Opal-RT. This Big Data Analytics For Smart Grid programme aims to explore the issues arising in the processing and analysis of large volumes of data which is challenging to be done in a structured way. 

Data analysis is important for research and making further policies for the development of the organization. Extracting, analyzing, and processing data from complex data set can become an easy task through Big data technologies. The challenging task of analyzing structured, semi-structured, and unstructured data can become manageable through the course by TCS iON. The certificate program in Big Data Technologies is a self-paced course available for IT professionals or data analysts on the TCS iON portal. This is the online course of two months jointly organized by TCS iON and 361° minds. 

Certificate Program in Big Data Technologies training shall guide the learners for working and analyzing the complex data using the software. The course needs the commitment of 8-9 hours per week in the duration of 8 weeks to complete the course on time. The certification course is designed in a way that it shall provide the knowledge from basic to advanced level to the learners about analyzing complex data sets. The  Certificate Program in Big Data Technologies certification syllabus consists of modules and assessments preparing learners for the TCS iON Procert assessment. The assessment shall open the gates for multiple opportunities as a data analyst. After the completion of the course, the learner shall receive Certificate Program in Big Data Technologies certification by TCS and 361° minds.  

The Business Analytics for Decision-making online course is developed for the students to gain a detailed understanding of the statistical skills and analytical knowledge required for business management and development. The online program is provided by the Indian Institute of Management Kozhikode in association with the Eruditus Executive Education. The course is conducted for Eight weeks and the students are expected to spend four to five hours every week to complete the course. 

The course study is directed by Prof Anirban Ghatak of the department of economics at IIM Kozhikode and Prof Soumya Ray of the quantitive methods and operations management at IIM. The students are engaged with discussions and concepts of analytics and business strategies for data-driven decision-making. The eligible students of the ‘Business Analytics for Decision-making’ online training program are given the course certificate after completion of the course. 

The Data Analytics and Visualization in Health Care course is a composite course created for learners of different levels of understanding and with multi-discipline backgrounds. Big data has transformed the way the healthcare industry functions. With factors like improvement of quality, reducing costs and patient engagement being key objectives to focus on, the techniques used for analysis, processing and even collecting health care data have seen a massive advancement. This Data Analytics and Visualization in Health Care certification course will teach candidates the use of Data Analytics in the healthcare sector and its implications on the organization. 

The Data Analytics and Visualization in Health Care online course will help candidates in creating a foundation that helps in creating a data analytics program designed specifically for the healthcare domain which tackles the most burning question of the industry and provides a visual solution for deeper and more impactful answers to the applicants. Students can enrol in the course either by paying the fee or free of cost. While taking the programme for free, the learners will get access only for a limited duration. 

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

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

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

In the Data Science: Wrangling course by edX a piece of our Professional Certificate Program in Data Science, we cover a few standard strides of the information fighting cycle like bringing information into R, cleaning information, string handling, HTML parsing, working with dates and times, and text mining. 

Data Science: Wrangling certification is offered by the platform of edX in association with Harvard University. Professor Rafael Irizarry aims to provide the candidates with the skills and insights about Data Science and subjects associated through videos and discussion forums.

The candidates are provided with the online Data Science: Wrangling certificate with the signatures of the instructors on it. Data Science: Wrangling classes being a self-paced course offers flexibility to its candidates to learn at their own pace and comfort. Among the two tracks, the candidates will be able to choose either the verified track or the audit track. In the audit track, the candidates will be able to learn and complete the course within a limited period. Again, on the other hand, the students will be learning the course for an unlimited period.

The candidates can also opt for an associate programme on Data Science offered by edX again for a better understanding and in-depth knowledge about the subject along with Data Science: Wrangling training. 

Data Science: Visualization certification course is an introductory course about data science. The topics it covers are the basics of data visualization and data analysis. This course includes case studies on global health, economics, and trending diseases in the United States. This course is a part of the professional certificate programme. Data Science: Visualization training entails looking at mistakes, biases, and many other systematic errors in data that need special care. It is very difficult to spot mistakes within a dataset, for that matter, it is particularly important. 

Data Science: Visualization online course is verified by one of the leading institutions of the world, Harvard University. The courses offered by edX offer financial assistance to economically weaker sections. A 90% financial assistance will be offered to those who fit the criteria. The candidates will be able to access the course materials only for a specified period when it comes to learning in the audit mode. Again, in the verified mode, the candidates will be able to access the course materials for an unlimited time period.

The Data Science: Visualization classes program is shareable on all platforms. The enrollees can add it to their CV or resume. The digitisation of the modern world has led to growing demands for data visualization. Through Data Science: Visualization training, the enrollees will be able to access profitable skills for future careers that will be based on data visualization.

Measurable deduction and displaying are vital for investigating information influenced by some coincidence, and hence basic for information researchers. In the Data Science: Inference and Modeling certification course, you will become familiar with these vital ideas through a spurring contextual investigation on political decision gauging. 

Data Science: Inference and Modeling certification course will show how derivation and demonstrating can be applied to build up the factual methodologies that make surveys a powerful apparatus and we'll tell you the best way to do this utilizing R. Students will learn ideas important to characterize evaluations and edges of mistakes and figure out how you can use these to make expectations moderately well and give a gauge of the exactness of your estimate. 

When candidates gain proficiency with this, they will have the option to comprehend two ideas that are universal in information science: certainty stretches, and p-values. At that point, to comprehend articulations about the likelihood of an up-and-comer winning, candidates will find out about Bayesian demonstrating. At long last, toward finishing the Data Science: Inference and Modeling training, Harvard University will assemble everything to reproduce a disentangled adaptation of a political race conjecture display and apply it to the 2016 political race. 

The course is self-paced but the candidates need to select anyone from the audit or the verified track. There are two basic differences between the two tracks. In the audit track, the candidates get only a limited period of access to the course materials without having to pay any money. Again on the other hand the candidates who choose the verified track get unlimited access for viewing and learning the course materials.

The Principles, Statistical and Computational Tools for Reproducible Data Science course has been meticulously created keeping in mind the wide usage and huge importance of reproducible research across various disciplines. The Principles, Statistical and Computational Tools for Reproducible Data Science certification thoroughly covers all the fundamentals of reproducible science in a very lucid manner and adds on to various useful computational tools, thus appealing to a very wider audience in various fields like data science, bioinformatics, biostatistics, computational biology etc. 

The 8-week self-paced Principles, Statistical and Computational Tools for Reproducible Data Science classes are the perfect blend of video lectures, case-based studies and computational tools and can act as an asset to the knowledge of reproducible science of the candidates. Various intricate nuances such as data provenance have also been thoroughly explained in the course material. The best practices prevalent in pattern designing are also shared with the candidates. The Principles, Statistical, and Computational Tools for Reproducible Data Science online course encourages the candidates for peer-to-peer engagement for a great network and also acts as a place for intellectual and intense discussions on the topic.

There are two pathways in which enrolling in this course of edX is possible. One is the verified track, and the other is the audit mode. During the audit mode, the candidates shall have limited time access to the course, but access becomes unlimited during the verified track.

Data science is the study of using machine learning techniques and statistics to analyse raw data and find patterns and information. Several industries use it to make better business decisions, and researchers employ it to test out models or theories. The Data Science for Engineers programme will explore two main concepts, Big data and Data Science. 

Data Science for Engineers certification syllabus has been designed in association with NPTEL and IIT Madras. Professors Raghunathan Rangasamy and Shankar Narasimhan will teach the course, which aims to introduce participants to programming language R, familiarise them with mathematical foundations for data science, study data science algorithms, and provide practical knowledge using case studies. 

Data Science for Engineers training is an eight-week online course with the option to obtain certification. Candidates will have to submit periodic assignments and appear for an end-of-term offline exam to qualify for certification. Furthermore, organisations like Honeywell, Gyan Data Pvt. Ltd., Ford, and ABB, recognise this programme, and thus, learners can seek job profiles in similar industries. 

In a progressive statistics world, corporations want individuals who can extract key information from data in order to make smarter business decisions. UCT's Data Science with Python online course helps students build realistic data science and analytical abilities for implementing it in real-world business contexts.

According to a McKinsey report, organizations that have at least one senior leader who has been trained in data are 70% more likely to perform better. The Data Science and Python Training teaches about broadly applicable libraries of python and how these techniques may and are applied in real-world business settings. The course demonstrates the concept of uncovering more robust correlations in order to guarantee that training models are usable.

An NVP report states that 92% of C-suite leaders are expanding their expenditure on Artificial intelligence and Big data. The Data Science with Python syllabus provides statistical understanding, which serves as a basis for understanding the dynamics of artificial intelligence. The course delves into supervised learning algorithms via neural networks and tree-based models, as well as unsupervised learning algorithms of AI via hierarchical clustering and K-means.

According to a World Economic Forum report, By 2025, the world will generate 463 exabytes of data every day. As the world is becoming increasingly data-driven, future leaders must have quantitative abilities to support business management strategy and decision-making. The Data Analysis for Management online course provides applicants with the practical tools and information they need to comprehend, interpret, and convey information relative to their job and organisation.

A PwC report states that 77% of CEOs want to use data-driven choices to improve operational excellence and generate revenue. The Data Analysis for Management Training, led by LSE specialist academics, helps candidates learn how data-driven frameworks may help them make sound choices in a fast-paced environment.

The Data Analysis for Management certification course encourages applicants to complete a capstone project in which they apply the tools and ideas learned to derive business insights from real-world data sets. Candidates will also get experience visualising and reporting on insights gleaned from sets of data using Tableau, a renowned data analytics and business intelligence program.

Data analysis is very critical in biology and one of the key skills of biologists for academic research and industry. Data Analysis for Biologists can guide you on the possession of data analysis needed for biology practitioners. The online course is an 8-week long program. Data Analysis for Biologists Certification Course will walk you through the concepts of data analysis and its application in biology as well as the concepts of linear algebra, statistics, and the whatnot. 

Data Analysis for Biologists Certification is offered jointly by Swayam and IIT Guwahati which can be enrolled by the learners without paying any fee. However, the certificate of completion will be provided to those who sat for the exam by paying the fee. The course is meant for undergraduate and postgraduate level learners who are from the background of biology and biotechnology.

The ‘Six Sigma: Analyze, Improve, Control’ certification is a study about data processing and problem-solving with the application of statistical analysis and quality management techniques and tools along with an understanding of the root causes and the analyzing strategy. This online course is provided by the online educational platform Edx with the Technical University of Munich(TUM). The course classes are organized for eight weeks and the students are required to spend three to four hours every week to complete the course through independent learning.

This business and management course study is based on the tools such as 8D and 5 Whys. the instructors for this course are faculty members of the Technical University of Munich, Martin Grunow(Production and supply management), and Holly Ott(operations management). 

The ‘Six Sigma: Analyze, Improve, Control’ training is an introductory level course for which the students can receive the certificate through the verified track at the end of the programme. If one wants limited but free access their pick can be an audit track and if someone needs unlimited course material access along with a certificate they can upgrade to the paid verified track.

Data used to be a term that was associated with tech companies but not anymore. Data is now being used to transform businesses across industries. Organizations from a startup to large MNCs plan their business decisions based on insights gathered from available data.  As the significance of data analytics increases, it’s unsurprising that various researches indicate that many companies and businesses are equipping themselves to use their data resources for a better competitive edge in the market.

IIM Amritsar through its advanced data analytics certification course wants to prepare the students towards the rising field of data analytics. This course will help the students in securing a good position in the data analytics field. From analytic techniques to industry-standard tools, students will get to learn all the relevant knowledge about data analytics from the esteemed faculty of IIM, Amritsar during the course. After the course, students will be able to explore their career as Data Scientists, Data Analysts and other data mining related fields.   

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

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

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

Today’s healthcare institutions have access to mountains of data but don’t have the expertise and knowledge to leverage it to improve care and outcomes for their organisation. Understanding how to implement data-driven solutions can help you operate more efficiently. The Healthcare Analytics online course can help you with that.

The Healthcare Analytics programme can help you gain fluency in healthcare analytics. You’ll learn to effectively communicate with analysts, employ data for optimal business and healthcare outcomes, and build a roadmap to adopting analytics in your organisation. In this way, you can continue to lead—and succeed—with data.

By the end of the Healthcare Analytics online course, you will have increased healthcare literacy and will be able to make data-driven decisions for the betterment of your organisation. This programme is developed by The Rotman School of Management and delivered by Emeritus. You’ll also get a certificate at the end of the course.

Some popular data science tools used today include JupyterLab, RStudio IDE, Jupyter Notebooks, Git, GitHub, and more. Tools for Data Science by Coursera will introduce you to these data science tools and their features.

The Tools for Data Science certification is a part of a series of certification programmes related to data science and can be applied to different specialisations. Over the period of seven weeks, you will learn 18 hours of content in the form of video lessons and will receive extra readings and quizzes. You will have to create a final project at the end of the programme to showcase your skills and proficiency.

The Coursera Tools for Data Science programme is offered by IBM. It is easy to comprehend as it is a beginner-level course with flexible deadlines. You can earn digital badges and a shareable certificate that will help you enhance your resume and can be shared on LinkedIn.

The Data Science Tools certification course from IBM provides you with a background on popular data science and data visualisation tools, including RStudio IDE, Jupyter Notebooks, and Watson Studio. Learn about the proper usage of each tool and how data scientists utilise these tools today. You will also get to understand what programming languages the data science tools can execute and what limitations and features they possess. 

The seven-week-long Data Science Tools programme is introductory and belongs to the Data Analysis and Statistics domain. Besides, the tools will be hosted in the cloud, and you will learn to follow instructions and test the tools to run simple code in R or Python. For finishing the training, you will complete a final project on IBM Watson Studio with a Jupyter Notebook on Cloud.

Moreover, you must demonstrate your expertise in writing Markdown, preparing a notebook, and sharing your work with peers. This hands-on Data Science Tools training will familiarise you with some of the most in-use, greatest, and latest data science tools. The course curriculum, divided into six modules, allows you to learn through lab sessions, assignments, graded quizzes, practice exercises, and more.  

Learners may choose any track from the two mentioned ones: audit and verified. These tracks are self-paced and offer limited and unlimited accessor audit and verified tracks respectively.

Data Science for Business Decision Making course is being imparted by Emeritus and Alliance Manchester Business School to help the learners understand the various concepts of data science. It aims to provide the participants with fundamental data science skills to resolve their real-world business problems.

Through this course, the participants will be trained in basic coding skills, tools, and techniques for assessing and sharing data for data manipulation and implement statistical modelling. They will be given an applied understanding of data science and its use for management and business and practices. 

They will learn about the basic commands, data analysis, and functions in the R programming language, predicting prices, sales, classification tools, key programming tools for data evaluation, and visualisation for improving understanding and communication. They will be equipped with the skills to process, model, analyse, and share data. Participants will be able to combine their business expertise with data skills in order to make management decisions and gain better business outcomes while dealing with real-world challenges

The need for smart analytics tools in the fields of architecture, construction, and the building industry is increasing as data sources that influence inhabitants' welfare, and the built environment's energy performance are blowing up in numbers. The Data Science for Construction, Architecture, and Engineering online course is developed to annex novel techniques and abilities to complement spreadsheets.

The Data Science for Construction, Architecture, and Engineering course centres on teaching data science skills to practitioners explicitly in the built environment industry. You will be introduced to data science while considering the background of various phases of the building life cycle. You will also gain exposure to several educational paths for a multitude of built environment-related functions.

During the time you spend learning the Data Science for Construction, Architecture, and Engineering digital course concepts, you will utilise substantial data sets from construction and design to study and apply data science methods. There are two modes to take this programme, certificate and free mode. In the free audit mode, the candidates will get access only for a limited duration. 

The National University of Singapore (NUS) offers the Analytics for Finance certification programme in collaboration with WileyNXT. It aims to help Finance and Analytics professionals to improve their finance agility, scalability, and efficiency. The course offers rich learning content, including videos, e-books, toolkits, etc.

The Analytics for Finance online course by WileyNXT comprises live interactive classes on weekends. You will also learn via hands-on sessions and online labs for contextual learning. Moreover, you will get access to a discussion forum for asking queries and peer learning. You will explore concepts such as Machine Learning (ML), analytics methods, analytical lifecycle, and more.

During WileyNXT’s Analytics for Finance online programme, you will learn how to enhance financial activities through analytics. It focuses on facilitating finance, treasury, tax, and risk while contributing to effective planning for an elevated performance of a business organisation. You can also receive a joint certificate from NUS-Wiley and a digital badge after this course.

The ‘Product Management with Lean, Agile and System Design Thinking’ online certification course is an advanced level training for the students to engage in discussions of the decision making based on business and organizational frameworks involved with digital products. This course is provided by Edx and the course curriculum is developed by Boston University. This computer science program by Edx requires the students to complete the course within an estimated time of seven weeks and the students are expected to spend a minimum of four to eight hours per week. 

The course instructors from BU for this self-paced learning program are Nitin R. Joglekar, an associate professor of operations management and technology, and Varun Nagaraj, Questrom digital learning and innovation fellow. The participants of this program will be given insights on specific aspects such as management of workflow, product life-cycle decisions, and system design thinking. The ‘Product Management with Lean, Agile and System Design Thinking’ certification course enables students to receive a course certificate at the end of the course.

The Microsoft Power BI Training course is an introductory course in Power BI Desktop and how to use it with Power Pivot for Data Modelling. The course will introduce you to Power BI Q&A, as well as Data Visualisation and Data Analysis Expressions (DAX), with Power BI Desktop to explore, discover and visualise enterprise data with the employment of Natural Language.

The Microsoft Power BI Training Programme also covers topics such as Business Intelligence, Flow of Power BI, Matrixes and Tables, Power BI Q&A, Row-level Security, and many more. Upon completion of the training, you will become proficient in concepts like Data integration and visualization, exploring Power BI Q&A, using content packs, data gateways, and Power BI Report Server.  

Moreover, as a part of the course, you will receive 27 hours of live online instructor-led classes and 3 hours long 9 sessions of weekend classes. Furthermore, you will have lifetime access to all the online resources, 24x7 expert support. Upon completion of the course, you receive a "Business Analyst using Power BI" certification from Edureka.

Python is a strong open-source language with extensive data analysis and manipulation packages. This Python for Data Analytics online Course covers both projects and concepts of Python like writing python scripts, Data Structures & Types, sequence and file operations, Data Wrangling, Graphs & Plots, Statistical Computation, etc. 

This Python for Data Analytics training will also provide hands-on experience with some of the most essential and commonly used Python programs, such as Numpy, Pandas, Matplotlib, Scipy, Anaconda, and others. Developed specifically in conjunction with academics and AI industry specialists to retool and reskill working professionals in the field of Artificial Intelligence. 

This Python for Data Analytics syllabus includes Live-Interactive Online Lectures, Skilled Faculty-Led Sessions, and Project Based Studying. The program's material and structure were developed in conjunction with industry professionals. Python is the language of choice for Robotics, Artificial Intelligence, and Web Development. Python has been utilized in computer science as well as in highly statistical sectors such as transportation, healthcare, finance, and retail. 

Swayam’s Predictive Analytics certification course is targeted at students and practitioners who wish to improve their knowledge in predictive analytics. Predictive Analytics is a popular competitive strategy across various business sectors, and it identifies high-performance companies. Its objective is to predict the probability of occurrence of future events which can lead to effective business management.

The Predictive Analytics training covers important topics such as regression models which can help the learners understand relationships among variables and how decisions are made by exploiting these relationships. Predictive analytics problems use various models such as logistic regression, decision trees, linear regression, and neural networks which are discussed in this course.  

Besides, the Predictive Analytics programme on the provider site of Swayam by the Indian Institute of Management, Bangalore, and NPTEL prepares candidates for careers in the field of data analytics. This course is a good fit if you are looking for the right competitive strategy for making companies successful. You can master predictive analytics tools and earn a certificate upon successful completion of this programme.