|Course or Certification Name||Category||Location||Mode of learning|
|Predictive Modeling and Analytics||Machine Learning||Online self study|
|Python Certification Training for Data Science||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Edureka Machine Learning Certification Training using Python||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Certified design thinking in HR Expert||HR Analytics||Blended Classroom|
|Vskills Certified Business Analytics Professional Government Certification||Business Analytics||Offline self study|
|Predictive Analytics using Machine Learning||Machine Learning||Online self study|
|Predictive Business Analytics Course||Business Analytics||Classroom|
|Post Graduation Diploma in Data Science (PGD-DS)||Data Science||Classroom|
|Human Resource Analytics by KPMG||HR Analytics||Classroom|
|Program in Business Analytics||Business Analytics||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Classification Models||Relational Databases||Online self study|
|Modeling Risk and Realities||Financial modelling||Online self study|
|Post Graduate Program in Data Science and Machine Learning||Data Science||Blended Classroom|
|Data Science Training||Data Science||Classroom|
|IIMK Executive Certificate program in Business Analytics and Big Data||Business Analytics||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
This course will introduce you to some of the most widely used predictive modeling techniques and their core principles. By taking this course, you will form a solid foundation of predictive analytics, which refers to tools and techniques for building statistical or machine learning models to make predictions based on data. You will learn how to carry out exploratory data analysis to gain insights and prepare data for predictive modeling, an essential skill valued in the business.
Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing | Edureka's Python Certification Training not only focuses on fundamentals of Python, Statistics and Machine Learning but also helps one gain expertise in applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands on. The course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing predictive modeling problem that would either require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds | Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms | Edurekaâs Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like pandas, numpy, matplotlib, scikit, and master the concepts like Python machine learning, scripts, and sequence.
Edurekaâs Machine Learning Certification Training using Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, NaÃ¯ve Bayes and Q-Learning. This Machine Learning using Python Training exposes you to concepts of Statistics, Time Series and different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. Throughout the Data Science Certification Course, youâll be solving real-life case studies on Media, Healthcare, Social Media, Aviation, HR.
Design thinking is the productive mixture of analytical and intuitive thinking. It involves enough viability to enable to move the knowledge forward and keep up with the changing needs of the users and enough reliability for corporate minds as well.
This certification institutes & enhances awareness of aspirants as per the company need for analysis of business. Knowledge acquired by the certification includes decision models, data visualization, statistics, probability, predictive modeling, regression analysis, forecasting, simulation, data mining, optimization and decision analysis.
This course will give you an overview of machine learning-based approaches for predictive modelling, including tree-based techniques, support vector machines, and neural networks using Python. These models form the basis of cutting-edge analytics tools that are used for image classification, text and sentiment analysis, and more.The course contains two case studies: forecasting customer behaviour after a marketing campaign, and flight delay and cancellation predictions.
Data is the new oil, and there is an ever increasing demand for millions of professionals across the world to drill deep into that data, refine information and insights, and sell it to the world at large. As a result, there is a huge increase in demand for Analytics professionals who understand this domain | Keeping the growing demand of Business Analytics in mind, Bridge School of Management in association with Northwestern University, School of Professional Studies has designed its Predictive Business Analytics (PBA) program. This 11.5 month certificate program has been exclusively curated for India by the world-renowned faculty from Northwestern University, School of Professional Studies and top industry experts | The PBA program is designed for both working professionals and recent college graduates. All classes are held over the weekend to ensure working professionals can participate in the program alongside their current jobs.
Human Resource Analytics is an intensive instructor-led three day course which is specifically designed and focused on applying the analytics techniques using R in the field of Human Resources for the students with HR specialisation. The main topics that are covered in HRA are Talent analytics, People analytics, Performance analytics and Recruitment Analytics. This course will hand hold the students from fundamentals of R programming, R syntax, variables and operators building till building data analytics models to perform the specific analysis.
The use of business analytics has grown exponentially in all areas, including healthcare, government, retail, e-commerce, media, manufacturing, and the service industry. The result is an increased need for employees with an analytical approach to management who can utilize data, understand statistical and quantitative models, and are able to make better data-driven business decisions | Columbia’s MicroMasters® program in Business Analytics will empower learners with the skills, insights and understanding to improve business performance using data, statistical and quantitative analysis, and explanatory and predictive modelling to help make actionable decisions.
The Classification Models course provides students with the foundational knowledge to use classification models to create business insights | Throughout this course you’ll also learn the techniques to apply your knowledge in a data analytics program called Alteryx. At the end of the course, you’ll complete a project based on the principles in the course. | This course is part of the Business Analyst Nanodegree.
Useful quantitative models help you to make informed decisions both in situations in which the factors affecting your decision are clear, as well as in situations in which some important factors are not clear at all. In this course, you can learn how to create quantitative models to reflect complex realities, and how to include in your model elements of risk and uncertainty. You’ll also learn the methods for creating predictive models for identifying optimal choices; and how those choices change in response to changes in the model’s assumptions. You’ll also learn the basics of the measurement and management of risk. By the end of this course, you’ll be able to build your own models with your own data, so that you can begin making data-informed decisions. You’ll also be prepared for the next course in the Specialization.
Designed to give students a comprehensive analytics education with a combination of online and in-person sessions, projects and seminars by industry leaders and hands-on learning in the Jigsaw Lab, PGPDM has already made a significant impact, being ranked #2 in the Ã¢ÂÂTop 10 Executive Data Sciences Courses in IndiaÃ¢ÂÂ by Analytics India Magazine for 2017 & 2018. | Comprehensive data science and machine learning education
This course introduces the concept of big data and how it can help business drive decisions, innovation and productivity. This course will help students to gain an understanding of how managers use big data analytics to draw insights, formulate and solve business problems and to support managerial decision making. | Students will also learn how to use and apply selected data analytics software. This course will benefit students who plan careers in analytics, targeted marketing, predictive modelling and strategic consulting. During the course, students will work on small projects in the area of data mining and data visualization and gain hands on experience.