Best Predictive Analytics Certification Courses

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We have compiled some renowned courses available online from across the globe for your convenience and have developed this list of Best Predictive Analytics Certification Course, Tutorial, Training, Class available online. Course details may vary, that is, it can be a paid course or an unpaid course; you may go through the various links to choose the course according to your preference.

Best Predictive Analytics Certification Courses

  1. Predictive Analytics for Business Applications by University of Edinburgh
  2. Python Data Products for Predictive Analytics by UC San Diego
  3. Customer Analytics by University of Pennsylvania
  4. Predictive Analysis Certification by IIM Bangalore
  5. Practical Predictive Analytics Course by the University of Washington
  6. Predictive Analytics for IoT Solutions by Microsoft

Predictive Analytics for Business Applications by University of Edinburgh

Brought to you by Edx, this course aims at accelerating your career in analytics for business applications where you will learn to identify the various business settings where predictive analytics are being used, formulating predictive models which will be suitable for a big range of problem scenarios, building and using predictive models both for classification and regressing problems, implementing various insights in Python, interpreting predictive models for solving business problems and critically reflecting on their outcomes. The various courses that belong to this program include Introduction to Predictive Analytics, Evaluation of Predictive Modelling, Statistical predictive modeling, Machine Learning-Based Predictive Modelling, Predictive, Analytics Final Project, Certificate & Credit Pathways, Job Outlook.

Instructors:

Dr. Galina Andreeva (Senior Lecturer in Management Science, The University of Edinburgh), Dr. Johannes De Smedt (Dixons Carphone Lecturer in Business Analytics, The University of Edinburgh), Dr. Matthias Bogaert (Postdoctoral Research Fellow, KU Leuven), Sofia Varypati (Course tutor, The University of Edinburgh)

Course Provider: edX

Rating: 4.5/5

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Python Data Products for Predictive Analytics by UC San Diego

It is no unknown fact that Python data products are powering the AI revolution. One of the biggest companies like Google, Facebook, Netflix uses predictive analytics for improving the products and services that we use every day. After taking this course you will be able to take your Python skills to another level and know how to make accurate predictions with data-driven systems and deploying machine learning models using this four-course specialization from UC San Diego. However, this specialization is meant for learners who are a bit proficient in the field of Python programming. The skills you will be gaining are Machine Learning, Python Programming, Predictive Analysis, Data Processing, Data Visualization (DataViz).

Perks:

  • You will get to understand how the computation of basic statistics using real-world datasets of consumer activities like product reviews etc are done.
  • You will be asked to perform simple regressions and classifications on various datasets using machine learning activities.
  • You will use Python for creating interactive data visualizations for making meaningful predictions and building simple demo systems.
  • You will get to discover data transformation and making it suitable for various data-driven predictive tasks.
  • Includes a separate course for a hands-on project which you will start upon completion of the other projects and you will need to complete this in order to earn your certificate.
  • Upon completion of the specialization, you will get a certificate.
  • The specialization is 100% online.

Course Provider: Coursera

Rating: 4.6/5

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Customer Analytics by University of Pennsylvania

it helping you in developing the fundamentals and basic analytic judgments and skills which will be very useful to you in the data interpretation in real-world scenarios. From describing the major methods of customer data collection which is used by various companies and understanding how this data can inform business decisions to communicating the various histories of customer analytics and the latest best practices at top firms you will be learning everything within no time! However, it gives an introduction to the diverse theories of customer analytics and is not at all focused on preparing the learners to perform the same. The skills that you will be gaining are on Predictive Analytics, Business Analytics, Customer Analytics, Regression Analysis, Marketing Performance Measurement, And Management.

Perks:

  • You will have the choice of having flexible deadlines that is, you will get to reset deadlines in accordance with your own schedules.
  • Available in English, Spanish, Chinese (Simplified) languages.
  • The course is 100% online and can be accessed from anywhere.
  • A certificate of completion is available upon completion of the specialization.

Instructors:

Eric Bradlow (Professor of Marketing, Statistics, and Education, Chairperson, Wharton Marketing Department, Vice Dean, and Director, Wharton Doctoral Program, Co-Director, Wharton Customer Analytics Initiative, The Wharton School), Peter Fader(Professor of Marketing and Co-Director of the Wharton Customer Analytics Initiative, The Wharton School), Raghu Iyengar (Associate Professor of Marketing, The Wharton School), Ron Berman (Assistant Professor of Marketing, The Wharton School)

Course Provider: Coursera

Rating: 4.5/5

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Predictive Analysis Certification by IIM Bangalore

Brought to you by IIM Bangalore, in accordance with edX, this course will help you to master the various tools of predictive analytics in this course based on analytics. No wonder predictive analytics is emerging as one of the competitive strategies across vast business sectors and will be able to set apart high performing companies and models for example multiple linear regression, logistic regression, Analytics, Business analytics, auto-regressive integrated moving average (ARIMA), decision trees, and neural networks are very often used in solving the problems of predictive analytics. However, this course is meant for those who are interested in increasing their knowledge of predictive analysis. It will also prepare an individual in their future aspects related to the field of data analytics.

Perks:

  • You will be understanding how predictive analytics tools are used for analyzing real-life business problems.
  • You will learn the demonstration of case-based practical problems for the interpretation of model outputs using predictive analytics.
  • You will also be learning a lot of other things like logistic egression, regression and doing forecasting using tools like SAS, SPSS and MS Excel.
  • Certificate of completion upon completion of the specialization signed by the instructor with the institution’s logo.

Instructors:

Dinesh Kumar (Professor, Decision Sciences & Information Systems, Indian Institute of Management, Bangalore)

Course Provider: edX

Rating: 4.5/5

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Practical Predictive Analytics Course by the University of Washington

Brought to you by the University of Washington by Coursera, this course aims at helping you design the statistical experiments and analyzing the results using lots of newer and modernized methods. You will also be experiencing some of the most common pitfalls in the interpretation of statistical arguments not to mention, those which are associated with big data. thi s course, however, will be guiding you in internalizing a core set of both practical and effective methods of machine learning and the various concepts and application of those for solving certain real-world problems. The skills that you will be gaining are on Random Forest, Predictive Analysis, Machine Learning, R Programming.

Perks:

  • You have the choice of having flexible deadlines and reset deadlines according to your conveniences
  • 100% online, you will be able to start instantly and learning at your own schedule.
  • Available in English and Korean subtitles.
  • You will learn the designing of effective experiments and analyzing the results.
  • Using resampling methods for making clear statistical arguments and explaining and applying a core set of various classification methods of increasing complexities.
  • Describing the most common idioms related to large scale graph analytics which includes structural query, recursive queries, traversal queries, PageRanks and detection of communities.

Instructors:

Bill Howe (Director of Research, Scalable Data Analytics)

Course Provider:

Rating: 4.1/5

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Predictive Analytics for IoT Solutions by Microsoft

Brought to you by edX, this course will help you in learning the application of machine learning into your IoT data and gaining lots of beneficial advantages into your business. This specialization will also help in providing hands-on experience in the development of predictive maintenance and lots of other ML solutions which is meant for IoT scenarios. However, the people who will be availing this course are asked to have a clear understanding of terminologies of IoT and business goals, using modern software developmental tools, some basics of Python and adat analytics, general concepts of machine learning. By the end of this course, you will learn the application of deep learning into various scenarios of predictive maintenances, evaluation of the effectiveness of the regression models, training and evaluation of regression models, choosing the most suitable machine learning algorithm, preparing data for various machine learning operations and many more.

Instructors:

Chris Howard (Engineer and Software Developer, Microsoft), Sheila Shahpari(CTO, Paritta Group)

Course Provider:

Rating: 4.5/5

Register Here

Here was a brief description of the Best Predictive Analytics Certification Courses which can turn out to be really effective when learned with the true and required dedication. you can also go for other courses like Best Neuroeconomics Online CertificationBest B2B Business Marketing Online Courses, etc. Happy learning.!

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