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The demand for data science is increasing day by day. Therefore, industries are looking for the expert data scientist. The  Practitioners Approach In Descriptive,Predictive And Prescriptive Analytics (IIT) course teaches various tools and techniques of data science. You will learn various applications with the involvement of real-life practitioners.

Shortly, the course covers the Descriptive, Predictive and Prescriptive Analytics a practitioner needs to know about data science.

Assessment

This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

Certification

Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.

Having an Official Edukite Certification is a great way to celebrate and share your success. You can:

  • Add the certificate to your CV or resume and brighten up your career
  • Show it to prove your success

Course Credit: NPTEL

Course Curriculum

Lecture 01. Introduction. Prof. Deepu Philip 00:43:00
Lecture 02. Analytics for Decision Making Support. Prof. Deepu Philip 00:51:00
Lecture 03. Decision Needs and Analytics. Prof Deepu Philip 00:44:00
Lecture 04. Systems, Models and Modeling Process. Prof. Deepu Philip 00:42:00
Lecture 05. Types of Models. Prof. Deepu Philip 00:48:00
Lecture 06. Data and it types. Prof Deepu Philip 00:49:00
Lecture 07. Overview of Probability. Prof. Deepu Philip 00:47:00
Lecture 08: Statistics and Analytics_Prof. Deepu Philip 00:37:00
Lecture 09: Descriptive Statistics – Graphical Tools_Prof Deepu Philip 00:32:00
Lecture 10: Frequency Distribution & Histogram_Prof Deepu Philip 00:53:00
Lecture 11: Stem and Leaf Plot_Prof. Deepu Philip 00:37:00
Lecture 12: Box Plots_Prof. Deepu Philip 00:45:00
Lecture 13: Business Intelligence & Analytics_Prof. Deepu Philip 00:39:00
Lecture 14: Normal Distribution_Prof. Deepu Philip 00:30:00
Lecture 15: Sampling_Dr. Amandeep Singh 00:41:00
Lecture 16: Sampling Techniques_Dr. Amandeep SIngh 00:41:00
Lecture 17: Hypothesis Testing_Mr. Sanjeev Newar 00:53:00
Lecture 18: Hypothesis Testing continued_Mr. Sanjeev Newar 00:46:00
Lecture 19: Machine Learning_Mr. Sanjeev Newar 00:56:00
Lecture 20: Correlation_Dr. Amandeep Singh 00:23:00
Lecture 21: Correlation continued_Dr. Amandeep Singh 00:40:00
Lecture 22: Regression_Dr. Amandeep Singh 00:40:00
Lec 23 ANOVA_Part 1_Dr. Amandeep Singh 00:42:00
Lec 24 ANOVA_Part 2_Dr. Amandeep Singh 01:11:00
Lec 25 Machine Learning Part2_Sanjeev Newar 00:55:00
Lecture 26: Machine Learning Part 3_Mr. Sanjeev Newar 00:35:00
Lecture 27: Machine Learning Part 4_Mr. Sanjeev Newar 00:57:00
Lecture 28: Machine Learning Part 5_Mr. Sanjeev Newar 00:45:00
Assessment
Submit Your Assignment 00:00:00
Certification 00:00:00

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